diff --git a/README.md b/README.md
index e3463134223f87dcde07e667026223cb053f4102..40ecca0bb73459aaa79c8c284c72871f394c7497 100644
--- a/README.md
+++ b/README.md
@@ -158,6 +158,29 @@ Disagreement totals across the 3,409 questions are:
 | `accepted_tied_top` | 739 |
 | `accepted_below_top` | 471 |
 
+## Benchmark release history
+
+### v0.2.1 (benchmark/code; base Parquet unchanged)
+
+This release adds reproducible CPU reports for random, answer-length, BM25,
+`BAAI/bge-small-en-v1.5`, and
+`cross-encoder/ms-marco-MiniLM-L-6-v2`. Each run stores the input hash, model
+revision, package versions, prediction hash and runtime. Evaluation adds
+question-level bootstrap confidence intervals, per-site macro reporting,
+paired model comparisons, and a reporting-only answer-length spread slice.
+
+| Test model | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: |
+| Random | 0.4724 | 0.7214 | 0.5354 | 0.8631 |
+| Answer length | 0.6142 | 0.7982 | 0.7323 | 0.9275 |
+| BM25 | 0.5276 | 0.7552 | 0.6535 | 0.9101 |
+| BGE-small | 0.6299 | 0.8091 | 0.6772 | 0.9112 |
+| MS MARCO MiniLM cross-encoder | 0.5591 | 0.7690 | 0.5906 | 0.8841 |
+
+These remain behavioral metrics over accepted status and votes. They do not
+establish factual answer quality. The paired comparisons and 95% confidence
+intervals are part of the versioned benchmark artifacts.
+
 ## Provenance and licensing
 
 The release uses the Stack Exchange 2026-Q1 dump, cut off on 2026-03-31. The
diff --git a/benchmarks/answer_reranking/v0.2.1/README.md b/benchmarks/answer_reranking/v0.2.1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f2cff85279f711a2c8747af5c31c5e4d7648dd70
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/README.md
@@ -0,0 +1,17 @@
+# Answer reranking benchmark v0.2.1
+
+This is a benchmark/code release over immutable Community QA Lab `v0.2.0` Parquet data.
+It does not add dataset columns or modify the public data files.
+
+## Test summary
+
+| Model | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: |
+| random | 0.4724 | 0.7214 | 0.5354 | 0.8631 |
+| answer_length | 0.6142 | 0.7982 | 0.7323 | 0.9275 |
+| bm25 | 0.5276 | 0.7552 | 0.6535 | 0.9101 |
+| bge_small | 0.6299 | 0.8091 | 0.6772 | 0.9112 |
+| cross_encoder | 0.5591 | 0.7690 | 0.5906 | 0.8841 |
+
+Each model/split has predictions, a run manifest with model revision and input hash, a JSON report, and Markdown report.
+Length slices use max/min answer whitespace-token ratio <= 2.0 (`length_matched`) or > 2.0 (`length_skewed`).
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_test.md b/benchmarks/answer_reranking/v0.2.1/answer_length_test.md
new file mode 100644
index 0000000000000000000000000000000000000000..279bf98a887a16d505990c395e4e36cdbdadcfc1
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_test.md
@@ -0,0 +1,51 @@
+# answer-length on test
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 127 |
+| accepted_hit_at_1 | 0.6142 [0.5276, 0.7008] |
+| accepted_mrr | 0.7982 [0.7518, 0.8425] |
+| vote_top1_accuracy | 0.7323 [0.6535, 0.8110] |
+| vote_ndcg | 0.9275 [0.9045, 0.9485] |
+| pairwise_accuracy_clean | 0.6939 [0.5761, 0.8041] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 25 | 0.5200 [0.3200, 0.7200] | 0.7533 [0.6533, 0.8600] | 0.4800 [0.2800, 0.6800] | 0.8916 [0.8515, 0.9303] |
+| accepted_tied_top | 35 | 0.5143 [0.3429, 0.6857] | 0.7524 [0.6667, 0.8381] | 0.9714 [0.9143, 1.0000] | 0.9907 [0.9772, 1.0000] |
+| accepted_unique_top | 67 | 0.7015 [0.5970, 0.8060] | 0.8388 [0.7761, 0.8955] | 0.7015 [0.5970, 0.8060] | 0.9078 [0.8701, 0.9420] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 89 | 0.5955 [0.4944, 0.6966] | 0.7869 [0.7313, 0.8416] | 0.7416 [0.6517, 0.8315] | 0.9295 [0.9009, 0.9552] |
+| datascience.stackexchange.com | 38 | 0.6579 [0.5000, 0.8158] | 0.8246 [0.7456, 0.9035] | 0.7105 [0.5526, 0.8421] | 0.9228 [0.8826, 0.9579] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 59 | 0.6102 [0.4746, 0.7288] | 0.8023 [0.7373, 0.8644] | 0.7458 [0.6271, 0.8475] | 0.9347 [0.9049, 0.9634] |
+| length_skewed | 68 | 0.6176 [0.5000, 0.7353] | 0.7946 [0.7304, 0.8559] | 0.7206 [0.6176, 0.8235] | 0.9212 [0.8870, 0.9519] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.6267, accepted MRR=0.8057, vote@1=0.7260, vote nDCG=0.9261.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
+- `prediction_sha256`: `69c0dd1e8b246fdbf731f85610b10aaa572ca628fb920a84fa06203b864e6ca9`
+- `total_runtime_ms`: `9.4559`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_test_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/answer_length_test_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..3f81e3b2b9b1e62c6b8bd7a06c0a72374b8a63d6
--- /dev/null
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+{"instance_id": "datascience.stackexchange.com:q:134319", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:134322", "datascience.stackexchange.com:a:134323"], "run_config_hash": "", "runtime_ms": 0.016199999663513154, "scores": [55.0, 52.0]}
+{"instance_id": "datascience.stackexchange.com:q:134389", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:134390", "datascience.stackexchange.com:a:134399", "datascience.stackexchange.com:a:134401"], "run_config_hash": "", "runtime_ms": 0.35939999906986486, "scores": [2231.0, 199.0, 198.0]}
+{"instance_id": "datascience.stackexchange.com:q:134426", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:134432", "datascience.stackexchange.com:a:134463"], "run_config_hash": "", "runtime_ms": 0.09000000136438757, "scores": [519.0, 158.0]}
+{"instance_id": "datascience.stackexchange.com:q:134510", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:134516", "datascience.stackexchange.com:a:137675"], "run_config_hash": "", "runtime_ms": 0.09250000039173756, "scores": [400.0, 241.0]}
+{"instance_id": "datascience.stackexchange.com:q:136631", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:136659", "datascience.stackexchange.com:a:136637"], "run_config_hash": "", "runtime_ms": 0.02159999894502107, "scores": [130.0, 31.0]}
+{"instance_id": "datascience.stackexchange.com:q:137777", "model_id": "answer-length", "ranked_answer_ids": ["datascience.stackexchange.com:a:137778", "datascience.stackexchange.com:a:137786"], "run_config_hash": "", "runtime_ms": 0.020400000721565448, "scores": [134.0, 11.0]}
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_test_report.json b/benchmarks/answer_reranking/v0.2.1/answer_length_test_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..093b3b3c4bddb89be447609aa1a5353042827aaf
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_test_report.json
@@ -0,0 +1,270 @@
+{
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "by_answer_length_spread": {
+    "length_matched": {
+      "accepted_hit_at_1": 0.6101694915254238,
+      "accepted_mrr": 0.8022598870056498,
+      "clean_pair_count": 33,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4745762711864407,
+          0.7288135593220338
+        ],
+        "accepted_mrr": [
+          0.7372881355932204,
+          0.864406779661017
+        ],
+        "pairwise_accuracy_clean": [
+          0.5384615384615384,
+          0.8484848484848485
+        ],
+        "vote_ndcg": [
+          0.9049110905134261,
+          0.9634139779192117
+        ],
+        "vote_top1_accuracy": [
+          0.6271186440677966,
+          0.847457627118644
+        ]
+      },
+      "instances": 59,
+      "pairwise_accuracy_clean": 0.696969696969697,
+      "vote_ndcg": 0.9347054594488922,
+      "vote_top1_accuracy": 0.7457627118644068
+    },
+    "length_skewed": {
+      "accepted_hit_at_1": 0.6176470588235294,
+      "accepted_mrr": 0.794607843137255,
+      "clean_pair_count": 65,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5,
+          0.7352941176470589
+        ],
+        "accepted_mrr": [
+          0.7303921568627451,
+          0.8558823529411765
+        ],
+        "pairwise_accuracy_clean": [
+          0.5405405405405406,
+          0.8387096774193549
+        ],
+        "vote_ndcg": [
+          0.8870004868012209,
+          0.9518684651613782
+        ],
+        "vote_top1_accuracy": [
+          0.6176470588235294,
+          0.8235294117647058
+        ]
+      },
+      "instances": 68,
+      "pairwise_accuracy_clean": 0.6923076923076923,
+      "vote_ndcg": 0.9212251152763699,
+      "vote_top1_accuracy": 0.7205882352941176
+    }
+  },
+  "by_disagreement_label": {
+    "accepted_below_top": {
+      "accepted_hit_at_1": 0.52,
+      "accepted_mrr": 0.7533333333333334,
+      "clean_pair_count": 2,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.32,
+          0.72
+        ],
+        "accepted_mrr": [
+          0.6533333333333334,
+          0.86
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.8514638742836051,
+          0.9302814761412599
+        ],
+        "vote_top1_accuracy": [
+          0.28,
+          0.68
+        ]
+      },
+      "instances": 25,
+      "pairwise_accuracy_clean": 0.5,
+      "vote_ndcg": 0.8916192759814617,
+      "vote_top1_accuracy": 0.48
+    },
+    "accepted_tied_top": {
+      "accepted_hit_at_1": 0.5142857142857142,
+      "accepted_mrr": 0.7523809523809524,
+      "clean_pair_count": 3,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.34285714285714286,
+          0.6857142857142857
+        ],
+        "accepted_mrr": [
+          0.6666666666666666,
+          0.8380952380952381
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.9772451740029752,
+          1.0
+        ],
+        "vote_top1_accuracy": [
+          0.9142857142857143,
+          1.0
+        ]
+      },
+      "instances": 35,
+      "pairwise_accuracy_clean": 0.3333333333333333,
+      "vote_ndcg": 0.9907204885428433,
+      "vote_top1_accuracy": 0.9714285714285714
+    },
+    "accepted_unique_top": {
+      "accepted_hit_at_1": 0.7014925373134329,
+      "accepted_mrr": 0.8388059701492537,
+      "clean_pair_count": 93,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5970149253731343,
+          0.8059701492537313
+        ],
+        "accepted_mrr": [
+          0.7761194029850746,
+          0.8955223880597015
+        ],
+        "pairwise_accuracy_clean": [
+          0.5959595959595959,
+          0.819047619047619
+        ],
+        "vote_ndcg": [
+          0.870121353919613,
+          0.9419911039261668
+        ],
+        "vote_top1_accuracy": [
+          0.5970149253731343,
+          0.8059701492537313
+        ]
+      },
+      "instances": 67,
+      "pairwise_accuracy_clean": 0.7096774193548387,
+      "vote_ndcg": 0.9078392678767422,
+      "vote_top1_accuracy": 0.7014925373134329
+    }
+  },
+  "by_source_site": {
+    "ai.stackexchange.com": {
+      "accepted_hit_at_1": 0.5955056179775281,
+      "accepted_mrr": 0.7868913857677903,
+      "clean_pair_count": 75,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4943820224719101,
+          0.6966292134831461
+        ],
+        "accepted_mrr": [
+          0.7312734082397004,
+          0.8415730337078652
+        ],
+        "pairwise_accuracy_clean": [
+          0.5555555555555556,
+          0.8266666666666667
+        ],
+        "vote_ndcg": [
+          0.900906086729065,
+          0.9552412447718363
+        ],
+        "vote_top1_accuracy": [
+          0.651685393258427,
+          0.8314606741573034
+        ]
+      },
+      "instances": 89,
+      "pairwise_accuracy_clean": 0.6933333333333334,
+      "vote_ndcg": 0.9294845674742406,
+      "vote_top1_accuracy": 0.7415730337078652
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.6578947368421053,
+      "accepted_mrr": 0.8245614035087719,
+      "clean_pair_count": 23,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5,
+          0.8157894736842105
+        ],
+        "accepted_mrr": [
+          0.7456140350877193,
+          0.9035087719298245
+        ],
+        "pairwise_accuracy_clean": [
+          0.5,
+          0.875
+        ],
+        "vote_ndcg": [
+          0.8826216675745243,
+          0.9579366064553847
+        ],
+        "vote_top1_accuracy": [
+          0.5526315789473685,
+          0.8421052631578947
+        ]
+      },
+      "instances": 38,
+      "pairwise_accuracy_clean": 0.6956521739130435,
+      "vote_ndcg": 0.9228106168702727,
+      "vote_top1_accuracy": 0.7105263157894737
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.6267001774098166,
+    "accepted_mrr": 0.8057263946382811,
+    "pairwise_accuracy_clean": 0.6944927536231884,
+    "sites": 2,
+    "vote_ndcg": 0.9261475921722566,
+    "vote_top1_accuracy": 0.7260496747486694
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.6141732283464567,
+    "accepted_mrr": 0.7981627296587926,
+    "clean_pair_count": 98,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.5275590551181102,
+        0.7007874015748031
+      ],
+      "accepted_mrr": [
+        0.7518372703412075,
+        0.84251968503937
+      ],
+      "pairwise_accuracy_clean": [
+        0.5760869565217391,
+        0.8041237113402062
+      ],
+      "vote_ndcg": [
+        0.9045233043483001,
+        0.9485237373866057
+      ],
+      "vote_top1_accuracy": [
+        0.6535433070866141,
+        0.8110236220472441
+      ]
+    },
+    "instances": 127,
+    "pairwise_accuracy_clean": 0.6938775510204082,
+    "vote_ndcg": 0.9274876373722656,
+    "vote_top1_accuracy": 0.7322834645669292
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_test_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/answer_length_test_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c573b0a309e8affb8560a49993f21aef60e87a74
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_test_run_manifest.json
@@ -0,0 +1,24 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T18:59:23.955354+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\test.parquet",
+  "input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
+  "model_id": "answer-length",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 127,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\answer_length_test_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    ""
+  ],
+  "prediction_sha256": "69c0dd1e8b246fdbf731f85610b10aaa572ca628fb920a84fa06203b864e6ca9",
+  "python_version": "3.11.9",
+  "ranker_class": "AnswerLengthRanker",
+  "total_runtime_ms": 9.4559
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_validation.md b/benchmarks/answer_reranking/v0.2.1/answer_length_validation.md
new file mode 100644
index 0000000000000000000000000000000000000000..04cf6189e6cb89a223dceb2bc9f0b34ae85b6772
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_validation.md
@@ -0,0 +1,51 @@
+# answer-length on validation
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 306 |
+| accepted_hit_at_1 | 0.6503 [0.5980, 0.7026] |
+| accepted_mrr | 0.8170 [0.7889, 0.8445] |
+| vote_top1_accuracy | 0.7124 [0.6601, 0.7614] |
+| vote_ndcg | 0.9218 [0.9072, 0.9358] |
+| pairwise_accuracy_clean | 0.7018 [0.6354, 0.7661] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 43 | 0.5814 [0.4186, 0.7209] | 0.7771 [0.6957, 0.8566] | 0.3256 [0.1860, 0.4651] | 0.8321 [0.7936, 0.8706] |
+| accepted_tied_top | 96 | 0.6667 [0.5729, 0.7604] | 0.8255 [0.7734, 0.8759] | 0.9792 [0.9479, 1.0000] | 0.9946 [0.9882, 0.9995] |
+| accepted_unique_top | 167 | 0.6587 [0.5868, 0.7305] | 0.8224 [0.7839, 0.8593] | 0.6587 [0.5868, 0.7305] | 0.9031 [0.8816, 0.9244] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 113 | 0.6195 [0.5310, 0.7080] | 0.7994 [0.7507, 0.8466] | 0.6637 [0.5752, 0.7434] | 0.9053 [0.8793, 0.9301] |
+| datascience.stackexchange.com | 193 | 0.6684 [0.6010, 0.7358] | 0.8273 [0.7919, 0.8623] | 0.7409 [0.6788, 0.8031] | 0.9315 [0.9135, 0.9482] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 124 | 0.5726 [0.4839, 0.6613] | 0.7863 [0.7419, 0.8306] | 0.6935 [0.6129, 0.7742] | 0.9212 [0.8987, 0.9424] |
+| length_skewed | 182 | 0.7033 [0.6374, 0.7692] | 0.8379 [0.8004, 0.8741] | 0.7253 [0.6593, 0.7857] | 0.9223 [0.9031, 0.9405] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.6439, accepted MRR=0.8133, vote@1=0.7023, vote nDCG=0.9184.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
+- `prediction_sha256`: `d61d15498c5c9b5fe708806597022b805641982fd56c107fb1b19c8237452409`
+- `total_runtime_ms`: `27.246`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_validation_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ebcb1a03f3b442a1711e9fdb5d72be93a71b252c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_predictions.jsonl
@@ -0,0 +1,306 @@
+{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34052", "ai.stackexchange.com:a:34033"], "run_config_hash": "", "runtime_ms": 0.07209999967017211, "scores": [225.0, 70.0]}
+{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34047", "ai.stackexchange.com:a:34044"], "run_config_hash": "", "runtime_ms": 0.09990000035031699, "scores": [402.0, 44.0]}
+{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34072", "ai.stackexchange.com:a:34073"], "run_config_hash": "", "runtime_ms": 0.07100000038917642, "scores": [255.0, 244.0]}
+{"instance_id": "ai.stackexchange.com:q:34244", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34246", "ai.stackexchange.com:a:37382"], "run_config_hash": "", "runtime_ms": 0.07199999890872277, "scores": [311.0, 161.0]}
+{"instance_id": "ai.stackexchange.com:q:34284", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34629", "ai.stackexchange.com:a:34665"], "run_config_hash": "", "runtime_ms": 0.08130000060191378, "scores": [433.0, 138.0]}
+{"instance_id": "ai.stackexchange.com:q:34342", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34343", "ai.stackexchange.com:a:36245"], "run_config_hash": "", "runtime_ms": 0.03740000101970509, "scores": [159.0, 70.0]}
+{"instance_id": "ai.stackexchange.com:q:34408", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34410", "ai.stackexchange.com:a:34409"], "run_config_hash": "", "runtime_ms": 0.04310000076657161, "scores": [166.0, 145.0]}
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diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_validation_report.json b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..2fac6ae983f8aaf100527d9381cb286275a66539
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_report.json
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diff --git a/benchmarks/answer_reranking/v0.2.1/answer_length_validation_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fdfb75565d07662f37feee7f67297af09b6f3a2c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/answer_length_validation_run_manifest.json
@@ -0,0 +1,24 @@
+{
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+  "prediction_count": 306,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\answer_length_validation_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    ""
+  ],
+  "prediction_sha256": "d61d15498c5c9b5fe708806597022b805641982fd56c107fb1b19c8237452409",
+  "python_version": "3.11.9",
+  "ranker_class": "AnswerLengthRanker",
+  "total_runtime_ms": 27.246
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_test.md b/benchmarks/answer_reranking/v0.2.1/bge_small_test.md
new file mode 100644
index 0000000000000000000000000000000000000000..3ecfda313cf76b922f048902bda1e2aae56c712c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_test.md
@@ -0,0 +1,53 @@
+# bge-small-en-v1.5 on test
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 127 |
+| accepted_hit_at_1 | 0.6299 [0.5433, 0.7165] |
+| accepted_mrr | 0.8091 [0.7644, 0.8524] |
+| vote_top1_accuracy | 0.6772 [0.5906, 0.7559] |
+| vote_ndcg | 0.9112 [0.8866, 0.9339] |
+| pairwise_accuracy_clean | 0.6837 [0.5895, 0.7763] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 25 | 0.5200 [0.3200, 0.7200] | 0.7467 [0.6400, 0.8533] | 0.4400 [0.2400, 0.6400] | 0.8677 [0.8182, 0.9155] |
+| accepted_tied_top | 35 | 0.7714 [0.6286, 0.9143] | 0.8857 [0.8143, 0.9571] | 1.0000 [1.0000, 1.0000] | 0.9979 [0.9937, 1.0000] |
+| accepted_unique_top | 67 | 0.5970 [0.4776, 0.7164] | 0.7923 [0.7313, 0.8507] | 0.5970 [0.4776, 0.7164] | 0.8821 [0.8440, 0.9177] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 89 | 0.5955 [0.4944, 0.6966] | 0.7912 [0.7369, 0.8427] | 0.6629 [0.5618, 0.7528] | 0.9075 [0.8770, 0.9352] |
+| datascience.stackexchange.com | 38 | 0.7105 [0.5526, 0.8421] | 0.8509 [0.7719, 0.9211] | 0.7105 [0.5526, 0.8421] | 0.9198 [0.8785, 0.9587] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 59 | 0.6441 [0.5254, 0.7627] | 0.8192 [0.7542, 0.8785] | 0.6780 [0.5593, 0.7966] | 0.9218 [0.8903, 0.9505] |
+| length_skewed | 68 | 0.6176 [0.5000, 0.7353] | 0.8002 [0.7377, 0.8603] | 0.6765 [0.5588, 0.7794] | 0.9020 [0.8651, 0.9360] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.6530, accepted MRR=0.8210, vote@1=0.6867, vote nDCG=0.9137.
+
+## Reproducibility
+
+- `model_name`: `BAAI/bge-small-en-v1.5`
+- `model_revision`: `5c38ec7c405ec4b44b94cc5a9bb96e735b38267a`
+- `device`: `cpu`
+- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
+- `prediction_sha256`: `ed284560aedc326563b2f9298bfe592de5aa87a380d8ce89d1a73d94a3a628f6`
+- `total_runtime_ms`: `46253.0742`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_test_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/bge_small_test_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b8460052c8ceb91672d683657d9aad743e8702ab
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_test_predictions.jsonl
@@ -0,0 +1,127 @@
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+{"instance_id": "datascience.stackexchange.com:q:137777", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["datascience.stackexchange.com:a:137778", "datascience.stackexchange.com:a:137786"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 458.4668999996211, "scores": [0.7998334169387817, 0.7626341581344604]}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_test_report.json b/benchmarks/answer_reranking/v0.2.1/bge_small_test_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..33539c65e07ea34d7ff27bccd6a8ee32bc6a1c46
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_test_report.json
@@ -0,0 +1,270 @@
+{
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "by_answer_length_spread": {
+    "length_matched": {
+      "accepted_hit_at_1": 0.6440677966101694,
+      "accepted_mrr": 0.8192090395480226,
+      "clean_pair_count": 33,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5254237288135594,
+          0.7627118644067796
+        ],
+        "accepted_mrr": [
+          0.7542372881355932,
+          0.8785310734463277
+        ],
+        "pairwise_accuracy_clean": [
+          0.4482758620689655,
+          0.7586206896551724
+        ],
+        "vote_ndcg": [
+          0.8903394261593334,
+          0.9505016918770848
+        ],
+        "vote_top1_accuracy": [
+          0.559322033898305,
+          0.7966101694915254
+        ]
+      },
+      "instances": 59,
+      "pairwise_accuracy_clean": 0.6060606060606061,
+      "vote_ndcg": 0.921777536866842,
+      "vote_top1_accuracy": 0.6779661016949152
+    },
+    "length_skewed": {
+      "accepted_hit_at_1": 0.6176470588235294,
+      "accepted_mrr": 0.8002450980392156,
+      "clean_pair_count": 65,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5,
+          0.7352941176470589
+        ],
+        "accepted_mrr": [
+          0.7377450980392157,
+          0.8602941176470589
+        ],
+        "pairwise_accuracy_clean": [
+          0.6103896103896104,
+          0.8333333333333334
+        ],
+        "vote_ndcg": [
+          0.8650578377730811,
+          0.9360067685571404
+        ],
+        "vote_top1_accuracy": [
+          0.5588235294117647,
+          0.7794117647058824
+        ]
+      },
+      "instances": 68,
+      "pairwise_accuracy_clean": 0.7230769230769231,
+      "vote_ndcg": 0.9020215169133521,
+      "vote_top1_accuracy": 0.6764705882352942
+    }
+  },
+  "by_disagreement_label": {
+    "accepted_below_top": {
+      "accepted_hit_at_1": 0.52,
+      "accepted_mrr": 0.7466666666666667,
+      "clean_pair_count": 2,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.32,
+          0.72
+        ],
+        "accepted_mrr": [
+          0.64,
+          0.8533333333333333
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.8182252827754766,
+          0.9154924850415874
+        ],
+        "vote_top1_accuracy": [
+          0.24,
+          0.64
+        ]
+      },
+      "instances": 25,
+      "pairwise_accuracy_clean": 0.5,
+      "vote_ndcg": 0.8676869957254943,
+      "vote_top1_accuracy": 0.44
+    },
+    "accepted_tied_top": {
+      "accepted_hit_at_1": 0.7714285714285715,
+      "accepted_mrr": 0.8857142857142857,
+      "clean_pair_count": 3,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.6285714285714286,
+          0.9142857142857143
+        ],
+        "accepted_mrr": [
+          0.8142857142857143,
+          0.9571428571428572
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.9937062953759329,
+          1.0
+        ],
+        "vote_top1_accuracy": [
+          1.0,
+          1.0
+        ]
+      },
+      "instances": 35,
+      "pairwise_accuracy_clean": 1.0,
+      "vote_ndcg": 0.9979020984586443,
+      "vote_top1_accuracy": 1.0
+    },
+    "accepted_unique_top": {
+      "accepted_hit_at_1": 0.5970149253731343,
+      "accepted_mrr": 0.7922885572139303,
+      "clean_pair_count": 93,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.47761194029850745,
+          0.7164179104477612
+        ],
+        "accepted_mrr": [
+          0.7313432835820896,
+          0.8507462686567164
+        ],
+        "pairwise_accuracy_clean": [
+          0.5813953488372093,
+          0.7692307692307693
+        ],
+        "vote_ndcg": [
+          0.8440137071175403,
+          0.9177443874614813
+        ],
+        "vote_top1_accuracy": [
+          0.47761194029850745,
+          0.7164179104477612
+        ]
+      },
+      "instances": 67,
+      "pairwise_accuracy_clean": 0.6774193548387096,
+      "vote_ndcg": 0.8821431266576374,
+      "vote_top1_accuracy": 0.5970149253731343
+    }
+  },
+  "by_source_site": {
+    "ai.stackexchange.com": {
+      "accepted_hit_at_1": 0.5955056179775281,
+      "accepted_mrr": 0.791198501872659,
+      "clean_pair_count": 75,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4943820224719101,
+          0.6966292134831461
+        ],
+        "accepted_mrr": [
+          0.7368913857677903,
+          0.8426966292134831
+        ],
+        "pairwise_accuracy_clean": [
+          0.5591397849462365,
+          0.7702702702702703
+        ],
+        "vote_ndcg": [
+          0.8770111555811921,
+          0.9351659149795829
+        ],
+        "vote_top1_accuracy": [
+          0.5617977528089888,
+          0.7528089887640449
+        ]
+      },
+      "instances": 89,
+      "pairwise_accuracy_clean": 0.6666666666666666,
+      "vote_ndcg": 0.9075110741363022,
+      "vote_top1_accuracy": 0.6629213483146067
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.7105263157894737,
+      "accepted_mrr": 0.850877192982456,
+      "clean_pair_count": 23,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5526315789473685,
+          0.8421052631578947
+        ],
+        "accepted_mrr": [
+          0.7719298245614036,
+          0.9210526315789473
+        ],
+        "pairwise_accuracy_clean": [
+          0.5454545454545454,
+          0.9090909090909091
+        ],
+        "vote_ndcg": [
+          0.8785478531202265,
+          0.9587484406041725
+        ],
+        "vote_top1_accuracy": [
+          0.5526315789473685,
+          0.8421052631578947
+        ]
+      },
+      "instances": 38,
+      "pairwise_accuracy_clean": 0.7391304347826086,
+      "vote_ndcg": 0.9198382165031758,
+      "vote_top1_accuracy": 0.7105263157894737
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.6530159668835009,
+    "accepted_mrr": 0.8210378474275575,
+    "pairwise_accuracy_clean": 0.7028985507246377,
+    "sites": 2,
+    "vote_ndcg": 0.913674645319739,
+    "vote_top1_accuracy": 0.6867238320520401
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.6299212598425197,
+    "accepted_mrr": 0.8090551181102361,
+    "clean_pair_count": 98,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.5433070866141733,
+        0.7165354330708661
+      ],
+      "accepted_mrr": [
+        0.7644356955380577,
+        0.8523622047244095
+      ],
+      "pairwise_accuracy_clean": [
+        0.5894736842105263,
+        0.7763157894736842
+      ],
+      "vote_ndcg": [
+        0.8865990962192959,
+        0.9338913686257194
+      ],
+      "vote_top1_accuracy": [
+        0.5905511811023622,
+        0.7559055118110236
+      ]
+    },
+    "instances": 127,
+    "pairwise_accuracy_clean": 0.6836734693877551,
+    "vote_ndcg": 0.9111995104350515,
+    "vote_top1_accuracy": 0.6771653543307087
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_test_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/bge_small_test_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5df0465ae937d98a3296d0a619cb3c1292a45303
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_test_run_manifest.json
@@ -0,0 +1,27 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T19:02:58.990815+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\test.parquet",
+  "input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
+  "model_id": "bge-small-en-v1.5",
+  "model_name": "BAAI/bge-small-en-v1.5",
+  "model_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 127,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bge_small_test_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828"
+  ],
+  "prediction_sha256": "ed284560aedc326563b2f9298bfe592de5aa87a380d8ce89d1a73d94a3a628f6",
+  "python_version": "3.11.9",
+  "ranker_class": "DenseBiEncoderRanker",
+  "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828",
+  "total_runtime_ms": 46253.0742
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_validation.md b/benchmarks/answer_reranking/v0.2.1/bge_small_validation.md
new file mode 100644
index 0000000000000000000000000000000000000000..2ad6e9554eb9137db444b965c02fb1b63edcb113
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_validation.md
@@ -0,0 +1,53 @@
+# bge-small-en-v1.5 on validation
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 306 |
+| accepted_hit_at_1 | 0.5556 [0.5000, 0.6111] |
+| accepted_mrr | 0.7635 [0.7324, 0.7929] |
+| vote_top1_accuracy | 0.7190 [0.6667, 0.7680] |
+| vote_ndcg | 0.9183 [0.9020, 0.9335] |
+| pairwise_accuracy_clean | 0.6272 [0.5566, 0.6951] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 43 | 0.3721 [0.2326, 0.5116] | 0.6550 [0.5756, 0.7384] | 0.5349 [0.3953, 0.6744] | 0.8679 [0.8195, 0.9142] |
+| accepted_tied_top | 96 | 0.5312 [0.4271, 0.6250] | 0.7543 [0.7014, 0.8073] | 0.9792 [0.9479, 1.0000] | 0.9941 [0.9858, 1.0000] |
+| accepted_unique_top | 167 | 0.6168 [0.5449, 0.6886] | 0.7966 [0.7567, 0.8363] | 0.6168 [0.5449, 0.6886] | 0.8877 [0.8640, 0.9106] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 113 | 0.6106 [0.5221, 0.6991] | 0.7931 [0.7453, 0.8414] | 0.6726 [0.5841, 0.7611] | 0.8993 [0.8702, 0.9270] |
+| datascience.stackexchange.com | 193 | 0.5233 [0.4508, 0.5959] | 0.7461 [0.7081, 0.7850] | 0.7461 [0.6839, 0.8083] | 0.9294 [0.9107, 0.9472] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 124 | 0.5645 [0.4758, 0.6532] | 0.7809 [0.7366, 0.8253] | 0.7339 [0.6532, 0.8065] | 0.9250 [0.9013, 0.9469] |
+| length_skewed | 182 | 0.5495 [0.4780, 0.6209] | 0.7516 [0.7103, 0.7917] | 0.7088 [0.6429, 0.7747] | 0.9137 [0.8922, 0.9342] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.5670, accepted MRR=0.7696, vote@1=0.7093, vote nDCG=0.9143.
+
+## Reproducibility
+
+- `model_name`: `BAAI/bge-small-en-v1.5`
+- `model_revision`: `5c38ec7c405ec4b44b94cc5a9bb96e735b38267a`
+- `device`: `cpu`
+- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
+- `prediction_sha256`: `e3ff38a4444c69771c237440ab76f12a5c05bfaf7e1f76e87c1ed003b9e33e3e`
+- `total_runtime_ms`: `78925.6885`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_validation_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..66f90e261805520b3c1f55a9814e1cefeda6ce16
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_predictions.jsonl
@@ -0,0 +1,306 @@
+{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34033", "ai.stackexchange.com:a:34052"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 2018.5421999995015, "scores": [0.8434197902679443, 0.8410059809684753]}
+{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34044", "ai.stackexchange.com:a:34047"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 324.42819999960193, "scores": [0.8590941429138184, 0.7816032767295837]}
+{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34073", "ai.stackexchange.com:a:34072"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 217.32569999949192, "scores": [0.8501211404800415, 0.8344914317131042]}
+{"instance_id": "ai.stackexchange.com:q:34244", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:37382", "ai.stackexchange.com:a:34246"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 239.08380000102625, "scores": [0.8836643695831299, 0.8806700706481934]}
+{"instance_id": "ai.stackexchange.com:q:34284", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34629", "ai.stackexchange.com:a:34665"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 304.3949999992037, "scores": [0.8562449812889099, 0.7925722599029541]}
+{"instance_id": "ai.stackexchange.com:q:34342", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34343", "ai.stackexchange.com:a:36245"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 185.56580000040412, "scores": [0.8965793251991272, 0.6869981288909912]}
+{"instance_id": "ai.stackexchange.com:q:34408", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34409", "ai.stackexchange.com:a:34410"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 122.54460000076506, "scores": [0.8784304857254028, 0.8054895401000977]}
+{"instance_id": "ai.stackexchange.com:q:34452", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34456", "ai.stackexchange.com:a:34454"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 104.16540000005625, "scores": [0.7913302183151245, 0.75367271900177]}
+{"instance_id": "ai.stackexchange.com:q:34729", "model_id": "bge-small-en-v1.5", "ranked_answer_ids": ["ai.stackexchange.com:a:34731", "ai.stackexchange.com:a:34735"], "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828", "runtime_ms": 268.9955000005284, "scores": [0.8089306354522705, 0.7716388702392578]}
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diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_validation_report.json b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..168b38217b9695f1d33f753b10ef2354d7fd6513
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_report.json
@@ -0,0 +1,270 @@
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+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5221238938053098,
+          0.6991150442477876
+        ],
+        "accepted_mrr": [
+          0.7452802359882006,
+          0.8414454277286135
+        ],
+        "pairwise_accuracy_clean": [
+          0.5257731958762887,
+          0.7319587628865979
+        ],
+        "vote_ndcg": [
+          0.870199546709152,
+          0.9269602508820282
+        ],
+        "vote_top1_accuracy": [
+          0.584070796460177,
+          0.7610619469026548
+        ]
+      },
+      "instances": 113,
+      "pairwise_accuracy_clean": 0.6274509803921569,
+      "vote_ndcg": 0.8992822674116551,
+      "vote_top1_accuracy": 0.672566371681416
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.5233160621761658,
+      "accepted_mrr": 0.7461139896373057,
+      "clean_pair_count": 126,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.45077720207253885,
+          0.5958549222797928
+        ],
+        "accepted_mrr": [
+          0.7081174438687393,
+          0.7849740932642486
+        ],
+        "pairwise_accuracy_clean": [
+          0.536,
+          0.717741935483871
+        ],
+        "vote_ndcg": [
+          0.9107436632191861,
+          0.9471839398115662
+        ],
+        "vote_top1_accuracy": [
+          0.6839378238341969,
+          0.8082901554404145
+        ]
+      },
+      "instances": 193,
+      "pairwise_accuracy_clean": 0.626984126984127,
+      "vote_ndcg": 0.9293993817313133,
+      "vote_top1_accuracy": 0.7461139896373057
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.5669677656013572,
+    "accepted_mrr": 0.7695909181224877,
+    "pairwise_accuracy_clean": 0.6272175536881419,
+    "sites": 2,
+    "vote_ndcg": 0.9143408245714841,
+    "vote_top1_accuracy": 0.7093401806593609
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.5555555555555556,
+    "accepted_mrr": 0.7634531590413945,
+    "clean_pair_count": 228,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.5,
+        0.6111111111111112
+      ],
+      "accepted_mrr": [
+        0.7324074074074075,
+        0.7928649237472771
+      ],
+      "pairwise_accuracy_clean": [
+        0.5566037735849056,
+        0.695067264573991
+      ],
+      "vote_ndcg": [
+        0.9020187738368933,
+        0.9334711900105214
+      ],
+      "vote_top1_accuracy": [
+        0.6666666666666666,
+        0.7679738562091504
+      ]
+    },
+    "instances": 306,
+    "pairwise_accuracy_clean": 0.6271929824561403,
+    "vote_ndcg": 0.9182777022603281,
+    "vote_top1_accuracy": 0.7189542483660131
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_validation_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7091fb462b08f69d520e6b3102fe52c1c068e152
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_validation_run_manifest.json
@@ -0,0 +1,27 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T19:01:45.503303+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\validation.parquet",
+  "input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
+  "model_id": "bge-small-en-v1.5",
+  "model_name": "BAAI/bge-small-en-v1.5",
+  "model_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 306,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bge_small_validation_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828"
+  ],
+  "prediction_sha256": "e3ff38a4444c69771c237440ab76f12a5c05bfaf7e1f76e87c1ed003b9e33e3e",
+  "python_version": "3.11.9",
+  "ranker_class": "DenseBiEncoderRanker",
+  "run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828",
+  "total_runtime_ms": 78925.6885
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.json b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..78b236ed145cb7eb5fc831c221d2a9349f739b9c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "answer-length",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "bge-small-en-v1.5",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.09448818897637795,
+      0.12598425196850394
+    ],
+    "accepted_mrr": [
+      -0.04724409448818897,
+      0.06811023622047245
+    ],
+    "pairwise_accuracy_clean": [
+      -0.10236220472440945,
+      0.056430446194225714
+    ],
+    "vote_ndcg": [
+      -0.04362318228534803,
+      0.010598733814423743
+    ],
+    "vote_top1_accuracy": [
+      -0.14960629921259844,
+      0.03937007874015748
+    ]
+  },
+  "instances": 127,
+  "paired_delta": {
+    "accepted_hit_at_1": 0.015748031496062992,
+    "accepted_mrr": 0.01089238845144357,
+    "pairwise_accuracy_clean": -0.022309711286089242,
+    "vote_ndcg": -0.016288126937213925,
+    "vote_top1_accuracy": -0.05511811023622047
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.md b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..ea0a5e60fccdfd8e39cb16a1147d417134fffc32
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on test
+
+Candidate: `bge-small-en-v1.5`; baseline: `answer-length`; instances=127.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | 0.0157 [-0.0945, 0.1260] |
+| accepted_mrr | 0.0109 [-0.0472, 0.0681] |
+| vote_top1_accuracy | -0.0551 [-0.1496, 0.0394] |
+| vote_ndcg | -0.0163 [-0.0436, 0.0106] |
+| pairwise_accuracy_clean | -0.0223 [-0.1024, 0.0564] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.json b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5667fe176cf8d3a3b9e57dcf1575b56bd26804a
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "answer-length",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "bge-small-en-v1.5",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.16339869281045752,
+      -0.029411764705882353
+    ],
+    "accepted_mrr": [
+      -0.08856209150326799,
+      -0.01879084967320261
+    ],
+    "pairwise_accuracy_clean": [
+      -0.08485838779956427,
+      0.012636165577342047
+    ],
+    "vote_ndcg": [
+      -0.01975274032138385,
+      0.012636865063500207
+    ],
+    "vote_top1_accuracy": [
+      -0.049019607843137254,
+      0.06209150326797386
+    ]
+  },
+  "instances": 306,
+  "paired_delta": {
+    "accepted_hit_at_1": -0.09477124183006536,
+    "accepted_mrr": -0.053540305010893234,
+    "pairwise_accuracy_clean": -0.03562091503267974,
+    "vote_ndcg": -0.0035591150842005535,
+    "vote_top1_accuracy": 0.006535947712418301
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.md b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..5855c14ff7d20df87d506dfa190c5b45e4937e7f
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on validation
+
+Candidate: `bge-small-en-v1.5`; baseline: `answer-length`; instances=306.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | -0.0948 [-0.1634, -0.0294] |
+| accepted_mrr | -0.0535 [-0.0886, -0.0188] |
+| vote_top1_accuracy | 0.0065 [-0.0490, 0.0621] |
+| vote_ndcg | -0.0036 [-0.0198, 0.0126] |
+| pairwise_accuracy_clean | -0.0356 [-0.0849, 0.0126] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.json b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..c515d8cd02f6380440e852538a6ce92877c6338c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "bm25",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "bge-small-en-v1.5",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      0.0,
+      0.2047244094488189
+    ],
+    "accepted_mrr": [
+      0.0019685039370078775,
+      0.10433070866141732
+    ],
+    "pairwise_accuracy_clean": [
+      -0.045931758530183726,
+      0.08530183727034121
+    ],
+    "vote_ndcg": [
+      -0.023561613960445187,
+      0.02414700221921227
+    ],
+    "vote_top1_accuracy": [
+      -0.06299212598425197,
+      0.10236220472440945
+    ]
+  },
+  "instances": 127,
+  "paired_delta": {
+    "accepted_hit_at_1": 0.10236220472440945,
+    "accepted_mrr": 0.05380577427821523,
+    "pairwise_accuracy_clean": 0.02047244094488189,
+    "vote_ndcg": 0.0010712674570463592,
+    "vote_top1_accuracy": 0.023622047244094488
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.md b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..1b0b1c0103b80b9d5533fba4c24b650dd0aa6f0f
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on test
+
+Candidate: `bge-small-en-v1.5`; baseline: `bm25`; instances=127.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | 0.1024 [0.0000, 0.2047] |
+| accepted_mrr | 0.0538 [0.0020, 0.1043] |
+| vote_top1_accuracy | 0.0236 [-0.0630, 0.1024] |
+| vote_ndcg | 0.0011 [-0.0236, 0.0241] |
+| pairwise_accuracy_clean | 0.0205 [-0.0459, 0.0853] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.json b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..908abdf761a96604aaa9b741f65cb682c4a7ff75
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "bm25",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "bge-small-en-v1.5",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.14052287581699346,
+      -0.02287581699346405
+    ],
+    "accepted_mrr": [
+      -0.07211328976034857,
+      -0.011165577342047931
+    ],
+    "pairwise_accuracy_clean": [
+      -0.07864923747276688,
+      0.00849673202614379
+    ],
+    "vote_ndcg": [
+      -0.020701519096208362,
+      0.007811645282722215
+    ],
+    "vote_top1_accuracy": [
+      -0.06209150326797386,
+      0.03594771241830065
+    ]
+  },
+  "instances": 306,
+  "paired_delta": {
+    "accepted_hit_at_1": -0.08169934640522876,
+    "accepted_mrr": -0.04155773420479304,
+    "pairwise_accuracy_clean": -0.03529411764705882,
+    "vote_ndcg": -0.00632844208521134,
+    "vote_top1_accuracy": -0.013071895424836602
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.md b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..cba9126c16538679d5dba674327c3deed3865d14
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on validation
+
+Candidate: `bge-small-en-v1.5`; baseline: `bm25`; instances=306.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | -0.0817 [-0.1405, -0.0229] |
+| accepted_mrr | -0.0416 [-0.0721, -0.0112] |
+| vote_top1_accuracy | -0.0131 [-0.0621, 0.0359] |
+| vote_ndcg | -0.0063 [-0.0207, 0.0078] |
+| pairwise_accuracy_clean | -0.0353 [-0.0786, 0.0085] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_test.md b/benchmarks/answer_reranking/v0.2.1/bm25_test.md
new file mode 100644
index 0000000000000000000000000000000000000000..4ca8c4b879962493f314b9b2aa7ee02d231949d7
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_test.md
@@ -0,0 +1,51 @@
+# bm25 on test
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 127 |
+| accepted_hit_at_1 | 0.5276 [0.4409, 0.6142] |
+| accepted_mrr | 0.7552 [0.7100, 0.7999] |
+| vote_top1_accuracy | 0.6535 [0.5748, 0.7323] |
+| vote_ndcg | 0.9101 [0.8874, 0.9321] |
+| pairwise_accuracy_clean | 0.6531 [0.5545, 0.7449] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 25 | 0.4800 [0.2800, 0.6800] | 0.7200 [0.6133, 0.8267] | 0.4400 [0.2400, 0.6400] | 0.8790 [0.8358, 0.9220] |
+| accepted_tied_top | 35 | 0.4571 [0.2857, 0.6286] | 0.7238 [0.6381, 0.8095] | 0.9429 [0.8571, 1.0000] | 0.9854 [0.9655, 1.0000] |
+| accepted_unique_top | 67 | 0.5821 [0.4627, 0.7015] | 0.7848 [0.7226, 0.8445] | 0.5821 [0.4627, 0.7015] | 0.8824 [0.8466, 0.9169] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 89 | 0.4831 [0.3820, 0.5843] | 0.7331 [0.6798, 0.7875] | 0.6404 [0.5393, 0.7416] | 0.9063 [0.8778, 0.9327] |
+| datascience.stackexchange.com | 38 | 0.6316 [0.4737, 0.7895] | 0.8070 [0.7237, 0.8860] | 0.6842 [0.5263, 0.8158] | 0.9192 [0.8791, 0.9563] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 59 | 0.4915 [0.3729, 0.6271] | 0.7373 [0.6723, 0.8051] | 0.6271 [0.5085, 0.7458] | 0.9073 [0.8743, 0.9389] |
+| length_skewed | 68 | 0.5588 [0.4412, 0.6765] | 0.7708 [0.7083, 0.8321] | 0.6765 [0.5588, 0.7794] | 0.9125 [0.8799, 0.9426] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.5574, accepted MRR=0.7701, vote@1=0.6623, vote nDCG=0.9127.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
+- `prediction_sha256`: `31cb27be307538562fddecc669a2d71e3da84c9838315c04e7065e3b9761e046`
+- `total_runtime_ms`: `34.6864`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_test_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/bm25_test_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..4d50741656d878cf3ba79b39a9d48a32bdc79795
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_test_predictions.jsonl
@@ -0,0 +1,127 @@
+{"instance_id": "ai.stackexchange.com:q:43301", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43304", "ai.stackexchange.com:a:43307"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.4850000004807953, "scores": [27.776213747362018, 17.0853303458447]}
+{"instance_id": "ai.stackexchange.com:q:43453", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43505", "ai.stackexchange.com:a:43455"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2280000007885974, "scores": [7.172253077215139, 5.285807790912978]}
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+{"instance_id": "datascience.stackexchange.com:q:131656", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:131716", "datascience.stackexchange.com:a:131718", "datascience.stackexchange.com:a:131711"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.8221999996749219, "scores": [113.73399796104376, 49.30233400954634, 42.05091219037148]}
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+{"instance_id": "datascience.stackexchange.com:q:133949", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:133950", "datascience.stackexchange.com:a:133996"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.22730000091542024, "scores": [19.51996877206812, 14.703889325613078]}
+{"instance_id": "datascience.stackexchange.com:q:134289", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134290", "datascience.stackexchange.com:a:134299"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.152900000102818, "scores": [11.344789575117467, 10.549371520661145]}
+{"instance_id": "datascience.stackexchange.com:q:134305", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134378", "datascience.stackexchange.com:a:134317", "datascience.stackexchange.com:a:134312"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.5514000004041009, "scores": [40.21834238703059, 23.831803474280797, 19.14686817509884]}
+{"instance_id": "datascience.stackexchange.com:q:134319", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134322", "datascience.stackexchange.com:a:134323"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.15209999946819153, "scores": [12.797188389324376, 11.374406683868425]}
+{"instance_id": "datascience.stackexchange.com:q:134389", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134390", "datascience.stackexchange.com:a:134399", "datascience.stackexchange.com:a:134401"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.8036999988689786, "scores": [48.46317091414434, 13.575007024619056, 8.60295825782268]}
+{"instance_id": "datascience.stackexchange.com:q:134426", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134432", "datascience.stackexchange.com:a:134463"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2413000001979526, "scores": [16.251752710340043, 15.918728157695123]}
+{"instance_id": "datascience.stackexchange.com:q:134510", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:134516", "datascience.stackexchange.com:a:137675"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.30619999961345457, "scores": [33.14226184366579, 16.618281809830766]}
+{"instance_id": "datascience.stackexchange.com:q:136631", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:136659", "datascience.stackexchange.com:a:136637"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.07720000030531082, "scores": [5.670598764483148, 2.3067678434933723]}
+{"instance_id": "datascience.stackexchange.com:q:137777", "model_id": "bm25", "ranked_answer_ids": ["datascience.stackexchange.com:a:137778", "datascience.stackexchange.com:a:137786"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.10169999950448982, "scores": [13.301469879481962, 3.126855098357551]}
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_test_report.json b/benchmarks/answer_reranking/v0.2.1/bm25_test_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..ccf6f8ad44d2b8a9b46a7b7c0233cdfbf4af30ec
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_test_report.json
@@ -0,0 +1,270 @@
+{
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "by_answer_length_spread": {
+    "length_matched": {
+      "accepted_hit_at_1": 0.4915254237288136,
+      "accepted_mrr": 0.7372881355932204,
+      "clean_pair_count": 33,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.3728813559322034,
+          0.6271186440677966
+        ],
+        "accepted_mrr": [
+          0.6723163841807908,
+          0.8050847457627118
+        ],
+        "pairwise_accuracy_clean": [
+          0.3157894736842105,
+          0.6666666666666666
+        ],
+        "vote_ndcg": [
+          0.8743168318345318,
+          0.9388676846462377
+        ],
+        "vote_top1_accuracy": [
+          0.5084745762711864,
+          0.7457627118644068
+        ]
+      },
+      "instances": 59,
+      "pairwise_accuracy_clean": 0.48484848484848486,
+      "vote_ndcg": 0.9073460039599711,
+      "vote_top1_accuracy": 0.6271186440677966
+    },
+    "length_skewed": {
+      "accepted_hit_at_1": 0.5588235294117647,
+      "accepted_mrr": 0.7708333333333334,
+      "clean_pair_count": 65,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4411764705882353,
+          0.6764705882352942
+        ],
+        "accepted_mrr": [
+          0.7083333333333334,
+          0.8321078431372549
+        ],
+        "pairwise_accuracy_clean": [
+          0.6268656716417911,
+          0.8392857142857143
+        ],
+        "vote_ndcg": [
+          0.8799039652626346,
+          0.9426270075392968
+        ],
+        "vote_top1_accuracy": [
+          0.5588235294117647,
+          0.7794117647058824
+        ]
+      },
+      "instances": 68,
+      "pairwise_accuracy_clean": 0.7384615384615385,
+      "vote_ndcg": 0.9125422444789475,
+      "vote_top1_accuracy": 0.6764705882352942
+    }
+  },
+  "by_disagreement_label": {
+    "accepted_below_top": {
+      "accepted_hit_at_1": 0.48,
+      "accepted_mrr": 0.72,
+      "clean_pair_count": 2,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.28,
+          0.68
+        ],
+        "accepted_mrr": [
+          0.6133333333333334,
+          0.8266666666666665
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.8357775229978909,
+          0.9219793282177065
+        ],
+        "vote_top1_accuracy": [
+          0.24,
+          0.64
+        ]
+      },
+      "instances": 25,
+      "pairwise_accuracy_clean": 0.5,
+      "vote_ndcg": 0.8789923934240099,
+      "vote_top1_accuracy": 0.44
+    },
+    "accepted_tied_top": {
+      "accepted_hit_at_1": 0.45714285714285713,
+      "accepted_mrr": 0.7238095238095238,
+      "clean_pair_count": 3,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.2857142857142857,
+          0.6285714285714286
+        ],
+        "accepted_mrr": [
+          0.638095238095238,
+          0.8095238095238095
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.9655241515186533,
+          1.0
+        ],
+        "vote_top1_accuracy": [
+          0.8571428571428571,
+          1.0
+        ]
+      },
+      "instances": 35,
+      "pairwise_accuracy_clean": 0.3333333333333333,
+      "vote_ndcg": 0.9854111157264145,
+      "vote_top1_accuracy": 0.9428571428571428
+    },
+    "accepted_unique_top": {
+      "accepted_hit_at_1": 0.582089552238806,
+      "accepted_mrr": 0.7848258706467661,
+      "clean_pair_count": 93,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4626865671641791,
+          0.7014925373134329
+        ],
+        "accepted_mrr": [
+          0.722636815920398,
+          0.8445273631840796
+        ],
+        "pairwise_accuracy_clean": [
+          0.5686274509803921,
+          0.7604166666666666
+        ],
+        "vote_ndcg": [
+          0.8466132084046202,
+          0.9168864641157111
+        ],
+        "vote_top1_accuracy": [
+          0.4626865671641791,
+          0.7014925373134329
+        ]
+      },
+      "instances": 67,
+      "pairwise_accuracy_clean": 0.6666666666666666,
+      "vote_ndcg": 0.8824192234654028,
+      "vote_top1_accuracy": 0.582089552238806
+    }
+  },
+  "by_source_site": {
+    "ai.stackexchange.com": {
+      "accepted_hit_at_1": 0.48314606741573035,
+      "accepted_mrr": 0.7331460674157303,
+      "clean_pair_count": 75,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.38202247191011235,
+          0.5842696629213483
+        ],
+        "accepted_mrr": [
+          0.6797752808988764,
+          0.7874531835205993
+        ],
+        "pairwise_accuracy_clean": [
+          0.5263157894736842,
+          0.7464788732394366
+        ],
+        "vote_ndcg": [
+          0.8777511464269542,
+          0.9327135801065494
+        ],
+        "vote_top1_accuracy": [
+          0.5393258426966292,
+          0.7415730337078652
+        ]
+      },
+      "instances": 89,
+      "pairwise_accuracy_clean": 0.64,
+      "vote_ndcg": 0.9062542633858623,
+      "vote_top1_accuracy": 0.6404494382022472
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.631578947368421,
+      "accepted_mrr": 0.8070175438596491,
+      "clean_pair_count": 23,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.47368421052631576,
+          0.7894736842105263
+        ],
+        "accepted_mrr": [
+          0.7236842105263158,
+          0.8859649122807018
+        ],
+        "pairwise_accuracy_clean": [
+          0.5,
+          0.875
+        ],
+        "vote_ndcg": [
+          0.8791220304700366,
+          0.9562642802243569
+        ],
+        "vote_top1_accuracy": [
+          0.5263157894736842,
+          0.8157894736842105
+        ]
+      },
+      "instances": 38,
+      "pairwise_accuracy_clean": 0.6956521739130435,
+      "vote_ndcg": 0.9192015109701303,
+      "vote_top1_accuracy": 0.6842105263157895
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.5573625073920757,
+    "accepted_mrr": 0.7700818056376897,
+    "pairwise_accuracy_clean": 0.6678260869565218,
+    "sites": 2,
+    "vote_ndcg": 0.9127278871779962,
+    "vote_top1_accuracy": 0.6623299822590183
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.5275590551181102,
+    "accepted_mrr": 0.7552493438320209,
+    "clean_pair_count": 98,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.4409448818897638,
+        0.6141732283464567
+      ],
+      "accepted_mrr": [
+        0.7099737532808399,
+        0.7998687664041996
+      ],
+      "pairwise_accuracy_clean": [
+        0.5544554455445545,
+        0.7448979591836735
+      ],
+      "vote_ndcg": [
+        0.887440256874553,
+        0.9320898254916455
+      ],
+      "vote_top1_accuracy": [
+        0.5748031496062992,
+        0.7322834645669292
+      ]
+    },
+    "instances": 127,
+    "pairwise_accuracy_clean": 0.6530612244897959,
+    "vote_ndcg": 0.9101282429780052,
+    "vote_top1_accuracy": 0.6535433070866141
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_test_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/bm25_test_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3df41c33a49938b1404646adeb80283b29ab6f2
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_test_run_manifest.json
@@ -0,0 +1,26 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "b": 0.75,
+  "created_at": "2026-08-09T18:59:59.671920+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\test.parquet",
+  "input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
+  "k1": 1.5,
+  "model_id": "bm25",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 127,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bm25_test_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "k1=1.5;b=0.75"
+  ],
+  "prediction_sha256": "31cb27be307538562fddecc669a2d71e3da84c9838315c04e7065e3b9761e046",
+  "python_version": "3.11.9",
+  "ranker_class": "BM25Ranker",
+  "total_runtime_ms": 34.6864
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_validation.md b/benchmarks/answer_reranking/v0.2.1/bm25_validation.md
new file mode 100644
index 0000000000000000000000000000000000000000..263e25916eece5eba76a41c3de4e920154d9cc06
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_validation.md
@@ -0,0 +1,51 @@
+# bm25 on validation
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 306 |
+| accepted_hit_at_1 | 0.6373 [0.5850, 0.6895] |
+| accepted_mrr | 0.8050 [0.7756, 0.8336] |
+| vote_top1_accuracy | 0.7320 [0.6830, 0.7810] |
+| vote_ndcg | 0.9246 [0.9097, 0.9388] |
+| pairwise_accuracy_clean | 0.6842 [0.6164, 0.7510] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 43 | 0.5116 [0.3488, 0.6512] | 0.7306 [0.6453, 0.8140] | 0.3953 [0.2558, 0.5349] | 0.8523 [0.8133, 0.8911] |
+| accepted_tied_top | 96 | 0.6250 [0.5312, 0.7188] | 0.7977 [0.7439, 0.8507] | 0.9792 [0.9479, 1.0000] | 0.9920 [0.9838, 0.9980] |
+| accepted_unique_top | 167 | 0.6766 [0.6048, 0.7485] | 0.8283 [0.7889, 0.8658] | 0.6766 [0.6048, 0.7485] | 0.9045 [0.8816, 0.9264] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 113 | 0.6106 [0.5221, 0.6991] | 0.7942 [0.7456, 0.8429] | 0.6991 [0.6106, 0.7788] | 0.9131 [0.8872, 0.9379] |
+| datascience.stackexchange.com | 193 | 0.6528 [0.5855, 0.7202] | 0.8113 [0.7737, 0.8480] | 0.7513 [0.6891, 0.8135] | 0.9313 [0.9132, 0.9485] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 124 | 0.5565 [0.4677, 0.6452] | 0.7742 [0.7298, 0.8185] | 0.7500 [0.6694, 0.8226] | 0.9315 [0.9090, 0.9525] |
+| length_skewed | 182 | 0.6923 [0.6264, 0.7582] | 0.8260 [0.7871, 0.8631] | 0.7198 [0.6538, 0.7857] | 0.9199 [0.9000, 0.9389] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.6317, accepted MRR=0.8028, vote@1=0.7252, vote nDCG=0.9222.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
+- `prediction_sha256`: `9900d1f39bd14187be781937b76c341faa1832962a0834e395cc3a6b4eb96ac0`
+- `total_runtime_ms`: `62.0211`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_validation_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/bm25_validation_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..43c93bc71908976f0843966fd282fdeb59fa5c6d
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_validation_predictions.jsonl
@@ -0,0 +1,306 @@
+{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34052", "ai.stackexchange.com:a:34033"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.5019999989599455, "scores": [23.615833244590405, 9.914507324210692]}
+{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34047", "ai.stackexchange.com:a:34044"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2567999999882886, "scores": [28.67138074182318, 13.233496982764668]}
+{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34073", "ai.stackexchange.com:a:34072"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.20730000142066274, "scores": [9.753653730484455, 9.64358618777254]}
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diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_validation_report.json b/benchmarks/answer_reranking/v0.2.1/bm25_validation_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6f97ab528b42b463261eefd60b58ed6a1cb49af
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_validation_report.json
@@ -0,0 +1,270 @@
+{
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+}
diff --git a/benchmarks/answer_reranking/v0.2.1/bm25_validation_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/bm25_validation_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d17afe9059ca191ee436ce9e5d87e5aa29cc5bad
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/bm25_validation_run_manifest.json
@@ -0,0 +1,26 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "b": 0.75,
+  "created_at": "2026-08-09T18:59:34.987704+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\validation.parquet",
+  "input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
+  "k1": 1.5,
+  "model_id": "bm25",
+  "package_versions": {
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+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
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+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bm25_validation_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "k1=1.5;b=0.75"
+  ],
+  "prediction_sha256": "9900d1f39bd14187be781937b76c341faa1832962a0834e395cc3a6b4eb96ac0",
+  "python_version": "3.11.9",
+  "ranker_class": "BM25Ranker",
+  "total_runtime_ms": 62.0211
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_test.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test.md
new file mode 100644
index 0000000000000000000000000000000000000000..d19da18afbbe65297704012a6ca339fbc8140e4a
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test.md
@@ -0,0 +1,53 @@
+# cross-encoder-ms-marco-MiniLM-L-6-v2 on test
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 127 |
+| accepted_hit_at_1 | 0.5591 [0.4724, 0.6457] |
+| accepted_mrr | 0.7690 [0.7218, 0.8150] |
+| vote_top1_accuracy | 0.5906 [0.5039, 0.6693] |
+| vote_ndcg | 0.8841 [0.8570, 0.9095] |
+| pairwise_accuracy_clean | 0.5612 [0.4624, 0.6588] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 25 | 0.5600 [0.3600, 0.7600] | 0.7633 [0.6533, 0.8700] | 0.3600 [0.1600, 0.5600] | 0.8538 [0.8094, 0.8998] |
+| accepted_tied_top | 35 | 0.7429 [0.6000, 0.8857] | 0.8714 [0.8000, 0.9429] | 1.0000 [1.0000, 1.0000] | 1.0000 [1.0000, 1.0000] |
+| accepted_unique_top | 67 | 0.4627 [0.3433, 0.5821] | 0.7177 [0.6530, 0.7811] | 0.4627 [0.3433, 0.5821] | 0.8349 [0.7935, 0.8740] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 89 | 0.4944 [0.3933, 0.5955] | 0.7350 [0.6798, 0.7903] | 0.5618 [0.4607, 0.6629] | 0.8743 [0.8413, 0.9058] |
+| datascience.stackexchange.com | 38 | 0.7105 [0.5526, 0.8421] | 0.8487 [0.7697, 0.9211] | 0.6579 [0.5000, 0.7895] | 0.9071 [0.8619, 0.9475] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 59 | 0.5593 [0.4237, 0.6780] | 0.7740 [0.7062, 0.8390] | 0.6102 [0.4746, 0.7288] | 0.9002 [0.8649, 0.9330] |
+| length_skewed | 68 | 0.5588 [0.4412, 0.6765] | 0.7647 [0.6998, 0.8272] | 0.5735 [0.4559, 0.6912] | 0.8702 [0.8300, 0.9083] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.6025, accepted MRR=0.7919, vote@1=0.6098, vote nDCG=0.8907.
+
+## Reproducibility
+
+- `model_name`: `cross-encoder/ms-marco-MiniLM-L-6-v2`
+- `model_revision`: `233902d25c440f23af6f7d6e94d2946bac0bee0a`
+- `device`: `cpu`
+- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
+- `prediction_sha256`: `6a0157e940291ff7af268678d51d9e7dc60d6f6fb98d54d086c32cab22c53c39`
+- `total_runtime_ms`: `40494.3405`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..b41d53a9f4e98ee360daef8c90a2879f865edb61
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_predictions.jsonl
@@ -0,0 +1,127 @@
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+{"instance_id": "datascience.stackexchange.com:q:134289", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134290", "datascience.stackexchange.com:a:134299"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 256.17290000081994, "scores": [-2.5418641567230225, -3.627854108810425]}
+{"instance_id": "datascience.stackexchange.com:q:134305", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134378", "datascience.stackexchange.com:a:134312", "datascience.stackexchange.com:a:134317"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 453.973000001497, "scores": [-0.535954475402832, -1.9825317859649658, -3.02561616897583]}
+{"instance_id": "datascience.stackexchange.com:q:134319", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134322", "datascience.stackexchange.com:a:134323"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 274.6485000006942, "scores": [-4.686861991882324, -6.9906110763549805]}
+{"instance_id": "datascience.stackexchange.com:q:134389", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134399", "datascience.stackexchange.com:a:134390", "datascience.stackexchange.com:a:134401"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 414.82660000110627, "scores": [0.2940310835838318, 0.010988719761371613, -1.0070858001708984]}
+{"instance_id": "datascience.stackexchange.com:q:134426", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134463", "datascience.stackexchange.com:a:134432"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 261.35210000029474, "scores": [1.5609523057937622, -4.051061630249023]}
+{"instance_id": "datascience.stackexchange.com:q:134510", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:134516", "datascience.stackexchange.com:a:137675"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 272.6236999988032, "scores": [-4.610429763793945, -4.87330436706543]}
+{"instance_id": "datascience.stackexchange.com:q:136631", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:136659", "datascience.stackexchange.com:a:136637"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 139.32519999980286, "scores": [0.8855448961257935, 0.013478361070156097]}
+{"instance_id": "datascience.stackexchange.com:q:137777", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["datascience.stackexchange.com:a:137778", "datascience.stackexchange.com:a:137786"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 245.19620000137365, "scores": [-3.610654830932617, -6.321290969848633]}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_report.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..45d1459303d4b2d9a71643864f1971b9bb7508eb
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_report.json
@@ -0,0 +1,270 @@
+{
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "by_answer_length_spread": {
+    "length_matched": {
+      "accepted_hit_at_1": 0.559322033898305,
+      "accepted_mrr": 0.7740112994350282,
+      "clean_pair_count": 33,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.423728813559322,
+          0.6779661016949152
+        ],
+        "accepted_mrr": [
+          0.7062146892655368,
+          0.8389830508474576
+        ],
+        "pairwise_accuracy_clean": [
+          0.30303030303030304,
+          0.6666666666666666
+        ],
+        "vote_ndcg": [
+          0.8649412184963409,
+          0.9329992472267086
+        ],
+        "vote_top1_accuracy": [
+          0.4745762711864407,
+          0.7288135593220338
+        ]
+      },
+      "instances": 59,
+      "pairwise_accuracy_clean": 0.48484848484848486,
+      "vote_ndcg": 0.9002036176751819,
+      "vote_top1_accuracy": 0.6101694915254238
+    },
+    "length_skewed": {
+      "accepted_hit_at_1": 0.5588235294117647,
+      "accepted_mrr": 0.7647058823529411,
+      "clean_pair_count": 65,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4411764705882353,
+          0.6764705882352942
+        ],
+        "accepted_mrr": [
+          0.6997549019607844,
+          0.8272058823529411
+        ],
+        "pairwise_accuracy_clean": [
+          0.4918032786885246,
+          0.7121212121212122
+        ],
+        "vote_ndcg": [
+          0.830003164660813,
+          0.9082567734152583
+        ],
+        "vote_top1_accuracy": [
+          0.45588235294117646,
+          0.6911764705882353
+        ]
+      },
+      "instances": 68,
+      "pairwise_accuracy_clean": 0.6,
+      "vote_ndcg": 0.8701536645855402,
+      "vote_top1_accuracy": 0.5735294117647058
+    }
+  },
+  "by_disagreement_label": {
+    "accepted_below_top": {
+      "accepted_hit_at_1": 0.56,
+      "accepted_mrr": 0.7633333333333334,
+      "clean_pair_count": 2,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.36,
+          0.76
+        ],
+        "accepted_mrr": [
+          0.6533333333333333,
+          0.87
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          0.8094255062120348,
+          0.8998340293402646
+        ],
+        "vote_top1_accuracy": [
+          0.16,
+          0.56
+        ]
+      },
+      "instances": 25,
+      "pairwise_accuracy_clean": 0.5,
+      "vote_ndcg": 0.8537952337960089,
+      "vote_top1_accuracy": 0.36
+    },
+    "accepted_tied_top": {
+      "accepted_hit_at_1": 0.7428571428571429,
+      "accepted_mrr": 0.8714285714285714,
+      "clean_pair_count": 3,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.6,
+          0.8857142857142857
+        ],
+        "accepted_mrr": [
+          0.8,
+          0.9428571428571428
+        ],
+        "pairwise_accuracy_clean": [
+          0.0,
+          1.0
+        ],
+        "vote_ndcg": [
+          1.0,
+          1.0
+        ],
+        "vote_top1_accuracy": [
+          1.0,
+          1.0
+        ]
+      },
+      "instances": 35,
+      "pairwise_accuracy_clean": 1.0,
+      "vote_ndcg": 1.0,
+      "vote_top1_accuracy": 1.0
+    },
+    "accepted_unique_top": {
+      "accepted_hit_at_1": 0.4626865671641791,
+      "accepted_mrr": 0.7176616915422885,
+      "clean_pair_count": 93,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.34328358208955223,
+          0.582089552238806
+        ],
+        "accepted_mrr": [
+          0.6529850746268657,
+          0.7810945273631841
+        ],
+        "pairwise_accuracy_clean": [
+          0.449438202247191,
+          0.6464646464646465
+        ],
+        "vote_ndcg": [
+          0.7935080278108106,
+          0.8740329613360397
+        ],
+        "vote_top1_accuracy": [
+          0.34328358208955223,
+          0.582089552238806
+        ]
+      },
+      "instances": 67,
+      "pairwise_accuracy_clean": 0.5483870967741935,
+      "vote_ndcg": 0.8348892804440633,
+      "vote_top1_accuracy": 0.4626865671641791
+    }
+  },
+  "by_source_site": {
+    "ai.stackexchange.com": {
+      "accepted_hit_at_1": 0.4943820224719101,
+      "accepted_mrr": 0.7350187265917604,
+      "clean_pair_count": 75,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.39325842696629215,
+          0.5955056179775281
+        ],
+        "accepted_mrr": [
+          0.6797752808988765,
+          0.7902621722846443
+        ],
+        "pairwise_accuracy_clean": [
+          0.40384615384615385,
+          0.6309523809523809
+        ],
+        "vote_ndcg": [
+          0.8412774387853006,
+          0.9058361604209365
+        ],
+        "vote_top1_accuracy": [
+          0.4606741573033708,
+          0.6629213483146067
+        ]
+      },
+      "instances": 89,
+      "pairwise_accuracy_clean": 0.52,
+      "vote_ndcg": 0.8742956837984749,
+      "vote_top1_accuracy": 0.5617977528089888
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.7105263157894737,
+      "accepted_mrr": 0.8486842105263158,
+      "clean_pair_count": 23,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.5526315789473685,
+          0.8421052631578947
+        ],
+        "accepted_mrr": [
+          0.7697368421052632,
+          0.9210526315789473
+        ],
+        "pairwise_accuracy_clean": [
+          0.5,
+          0.8695652173913043
+        ],
+        "vote_ndcg": [
+          0.8618846474843382,
+          0.947481810502012
+        ],
+        "vote_top1_accuracy": [
+          0.5,
+          0.7894736842105263
+        ]
+      },
+      "instances": 38,
+      "pairwise_accuracy_clean": 0.6956521739130435,
+      "vote_ndcg": 0.9071091256996886,
+      "vote_top1_accuracy": 0.6578947368421053
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.6024541691306919,
+    "accepted_mrr": 0.7918514685590381,
+    "pairwise_accuracy_clean": 0.6078260869565217,
+    "sites": 2,
+    "vote_ndcg": 0.8907024047490817,
+    "vote_top1_accuracy": 0.6098462448255471
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.5590551181102362,
+    "accepted_mrr": 0.7690288713910761,
+    "clean_pair_count": 98,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.47244094488188976,
+        0.6456692913385826
+      ],
+      "accepted_mrr": [
+        0.7217847769028872,
+        0.8149606299212598
+      ],
+      "pairwise_accuracy_clean": [
+        0.46236559139784944,
+        0.6588235294117647
+      ],
+      "vote_ndcg": [
+        0.8570094487528989,
+        0.909466208182186
+      ],
+      "vote_top1_accuracy": [
+        0.5039370078740157,
+        0.6692913385826772
+      ]
+    },
+    "instances": 127,
+    "pairwise_accuracy_clean": 0.5612244897959183,
+    "vote_ndcg": 0.884113879013011,
+    "vote_top1_accuracy": 0.5905511811023622
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fe3b087ac35c63a52c8f0bf69af7628a2eaaf57a
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_test_run_manifest.json
@@ -0,0 +1,27 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T19:05:58.951835+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\test.parquet",
+  "input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
+  "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
+  "model_name": "cross-encoder/ms-marco-MiniLM-L-6-v2",
+  "model_revision": "233902d25c440f23af6f7d6e94d2946bac0bee0a",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 127,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\cross_encoder_test_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188"
+  ],
+  "prediction_sha256": "6a0157e940291ff7af268678d51d9e7dc60d6f6fb98d54d086c32cab22c53c39",
+  "python_version": "3.11.9",
+  "ranker_class": "PretrainedCrossEncoderRanker",
+  "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188",
+  "total_runtime_ms": 40494.3405
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation.md
new file mode 100644
index 0000000000000000000000000000000000000000..975c808dd0f38e859b1a7d53ec3d90ffb252a4c3
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation.md
@@ -0,0 +1,53 @@
+# cross-encoder-ms-marco-MiniLM-L-6-v2 on validation
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 306 |
+| accepted_hit_at_1 | 0.5948 [0.5392, 0.6471] |
+| accepted_mrr | 0.7857 [0.7557, 0.8143] |
+| vote_top1_accuracy | 0.7516 [0.7026, 0.7974] |
+| vote_ndcg | 0.9292 [0.9139, 0.9433] |
+| pairwise_accuracy_clean | 0.6842 [0.6161, 0.7489] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 43 | 0.3721 [0.2326, 0.5116] | 0.6705 [0.5930, 0.7481] | 0.5349 [0.3953, 0.6744] | 0.8720 [0.8253, 0.9156] |
+| accepted_tied_top | 96 | 0.5625 [0.4583, 0.6667] | 0.7700 [0.7153, 0.8229] | 0.9896 [0.9688, 1.0000] | 0.9959 [0.9908, 0.9995] |
+| accepted_unique_top | 167 | 0.6707 [0.5988, 0.7425] | 0.8244 [0.7849, 0.8628] | 0.6707 [0.5988, 0.7425] | 0.9056 [0.8831, 0.9272] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 113 | 0.6195 [0.5310, 0.7080] | 0.8016 [0.7552, 0.8473] | 0.7257 [0.6460, 0.8053] | 0.9194 [0.8935, 0.9443] |
+| datascience.stackexchange.com | 193 | 0.5803 [0.5130, 0.6477] | 0.7763 [0.7396, 0.8135] | 0.7668 [0.7047, 0.8238] | 0.9349 [0.9169, 0.9520] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 124 | 0.6210 [0.5323, 0.7016] | 0.8065 [0.7621, 0.8495] | 0.7984 [0.7258, 0.8629] | 0.9450 [0.9248, 0.9638] |
+| length_skewed | 182 | 0.5769 [0.5055, 0.6484] | 0.7715 [0.7312, 0.8104] | 0.7198 [0.6538, 0.7857] | 0.9184 [0.8975, 0.9380] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.5999, accepted MRR=0.7890, vote@1=0.7463, vote nDCG=0.9272.
+
+## Reproducibility
+
+- `model_name`: `cross-encoder/ms-marco-MiniLM-L-6-v2`
+- `model_revision`: `233902d25c440f23af6f7d6e94d2946bac0bee0a`
+- `device`: `cpu`
+- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
+- `prediction_sha256`: `b4321758c255f4f74757701d55201b8bbbd016744a10bc110cb6f7de3483ec69`
+- `total_runtime_ms`: `55547.9652`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..ce562b845c3b0e10e6708c77561bb3b5953f2df6
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_predictions.jsonl
@@ -0,0 +1,306 @@
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diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_report.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..713934e121bfe08b71fff9af26bcef51b111da1c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_report.json
@@ -0,0 +1,270 @@
+{
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+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
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+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..8cfeda944b32b3a73377ce72532f6eaee64a7faa
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_run_manifest.json
@@ -0,0 +1,27 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T19:04:33.269615+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\validation.parquet",
+  "input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
+  "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
+  "model_name": "cross-encoder/ms-marco-MiniLM-L-6-v2",
+  "model_revision": "233902d25c440f23af6f7d6e94d2946bac0bee0a",
+  "package_versions": {
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+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
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+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\cross_encoder_validation_predictions.jsonl",
+  "prediction_run_config_hashes": [
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+  "python_version": "3.11.9",
+  "ranker_class": "PretrainedCrossEncoderRanker",
+  "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188",
+  "total_runtime_ms": 55547.9652
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e469977b22ef859603f4e0a9a93a9ac2637b44d
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.json
@@ -0,0 +1,38 @@
+{
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+    "seed": 42
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+  "paired_delta": {
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+    "vote_top1_accuracy": -0.14173228346456693
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..c34be01dd886f4760a67741271836950342d9992
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on test
+
+Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `answer-length`; instances=127.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | -0.0551 [-0.1654, 0.0551] |
+| accepted_mrr | -0.0291 [-0.0879, 0.0289] |
+| vote_top1_accuracy | -0.1417 [-0.2362, -0.0551] |
+| vote_ndcg | -0.0434 [-0.0721, -0.0158] |
+| pairwise_accuracy_clean | -0.0896 [-0.1707, -0.0122] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..141ef2a65c5e842d3677dfa0e6a81012ae7f1b1e
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "answer-length",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.12091503267973856,
+      0.013071895424836602
+    ],
+    "accepted_mrr": [
+      -0.06535947712418302,
+      0.003540305010893245
+    ],
+    "pairwise_accuracy_clean": [
+      -0.04836601307189543,
+      0.048583877995642705
+    ],
+    "vote_ndcg": [
+      -0.008304997723076036,
+      0.023198106865129492
+    ],
+    "vote_top1_accuracy": [
+      -0.016339869281045753,
+      0.09477124183006536
+    ]
+  },
+  "instances": 306,
+  "paired_delta": {
+    "accepted_hit_at_1": -0.05555555555555555,
+    "accepted_mrr": -0.03131808278867102,
+    "pairwise_accuracy_clean": -0.0004357298474945511,
+    "vote_ndcg": 0.007360292585301871,
+    "vote_top1_accuracy": 0.0392156862745098
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..68e44287d35cafd964600812f4257ccdc7de5061
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on validation
+
+Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `answer-length`; instances=306.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | -0.0556 [-0.1209, 0.0131] |
+| accepted_mrr | -0.0313 [-0.0654, 0.0035] |
+| vote_top1_accuracy | 0.0392 [-0.0163, 0.0948] |
+| vote_ndcg | 0.0074 [-0.0083, 0.0232] |
+| pairwise_accuracy_clean | -0.0004 [-0.0484, 0.0486] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ff02929b6b61d512c03fea76a883f945353f223
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "bm25",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.07086614173228346,
+      0.13385826771653545
+    ],
+    "accepted_mrr": [
+      -0.04068241469816273,
+      0.06692913385826772
+    ],
+    "pairwise_accuracy_clean": [
+      -0.11496062992125981,
+      0.017716535433070866
+    ],
+    "vote_ndcg": [
+      -0.0529345995910845,
+      -0.0002740326240227632
+    ],
+    "vote_top1_accuracy": [
+      -0.15748031496062992,
+      0.023622047244094488
+    ]
+  },
+  "instances": 127,
+  "paired_delta": {
+    "accepted_hit_at_1": 0.031496062992125984,
+    "accepted_mrr": 0.013779527559055125,
+    "pairwise_accuracy_clean": -0.0468503937007874,
+    "vote_ndcg": -0.026014363964994153,
+    "vote_top1_accuracy": -0.06299212598425197
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..2f31e2c036fb31252c715189df5653c64f8f6890
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on test
+
+Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `bm25`; instances=127.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | 0.0315 [-0.0709, 0.1339] |
+| accepted_mrr | 0.0138 [-0.0407, 0.0669] |
+| vote_top1_accuracy | -0.0630 [-0.1575, 0.0236] |
+| vote_ndcg | -0.0260 [-0.0529, -0.0003] |
+| pairwise_accuracy_clean | -0.0469 [-0.1150, 0.0177] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.json b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e15156ca1a340969d96287429db264695ec347c
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.json
@@ -0,0 +1,38 @@
+{
+  "baseline_model_id": "bm25",
+  "bootstrap": {
+    "samples": 10000,
+    "seed": 42
+  },
+  "candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
+  "confidence_intervals_95": {
+    "accepted_hit_at_1": [
+      -0.10457516339869281,
+      0.0196078431372549
+    ],
+    "accepted_mrr": [
+      -0.05092592592592592,
+      0.013344226579520696
+    ],
+    "pairwise_accuracy_clean": [
+      -0.0457516339869281,
+      0.0457516339869281
+    ],
+    "vote_ndcg": [
+      -0.009222240112004308,
+      0.01867630871793714
+    ],
+    "vote_top1_accuracy": [
+      -0.029411764705882353,
+      0.06862745098039216
+    ]
+  },
+  "instances": 306,
+  "paired_delta": {
+    "accepted_hit_at_1": -0.042483660130718956,
+    "accepted_mrr": -0.019335511982570806,
+    "pairwise_accuracy_clean": -0.00010893246187363796,
+    "vote_ndcg": 0.004590965584291085,
+    "vote_top1_accuracy": 0.0196078431372549
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.md b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.md
new file mode 100644
index 0000000000000000000000000000000000000000..fef197b248dfbc80b2117c79dab859ce020f65c2
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.md
@@ -0,0 +1,13 @@
+# Paired comparison on validation
+
+Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `bm25`; instances=306.
+
+| Metric | Candidate minus baseline (95% bootstrap CI) |
+| --- | ---: |
+| accepted_hit_at_1 | -0.0425 [-0.1046, 0.0196] |
+| accepted_mrr | -0.0193 [-0.0509, 0.0133] |
+| vote_top1_accuracy | 0.0196 [-0.0294, 0.0686] |
+| vote_ndcg | 0.0046 [-0.0092, 0.0187] |
+| pairwise_accuracy_clean | -0.0001 [-0.0458, 0.0458] |
+
+Bootstrap: 10000 paired question-level resamples, seed=42.
diff --git a/benchmarks/answer_reranking/v0.2.1/random_test.md b/benchmarks/answer_reranking/v0.2.1/random_test.md
new file mode 100644
index 0000000000000000000000000000000000000000..a5769f1cbb54508d33c163a0d9bf06153dbf4e74
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_test.md
@@ -0,0 +1,51 @@
+# random-seed-42 on test
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 127 |
+| accepted_hit_at_1 | 0.4724 [0.3858, 0.5591] |
+| accepted_mrr | 0.7214 [0.6751, 0.7680] |
+| vote_top1_accuracy | 0.5354 [0.4488, 0.6220] |
+| vote_ndcg | 0.8631 [0.8353, 0.8910] |
+| pairwise_accuracy_clean | 0.4490 [0.3465, 0.5556] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 25 | 0.5600 [0.3600, 0.7600] | 0.7567 [0.6467, 0.8633] | 0.3600 [0.2000, 0.5600] | 0.8555 [0.8102, 0.9015] |
+| accepted_tied_top | 35 | 0.6000 [0.4286, 0.7714] | 0.8000 [0.7143, 0.8857] | 0.9714 [0.9143, 1.0000] | 0.9914 [0.9756, 1.0000] |
+| accepted_unique_top | 67 | 0.3731 [0.2537, 0.4925] | 0.6672 [0.6025, 0.7318] | 0.3731 [0.2537, 0.4925] | 0.7989 [0.7572, 0.8408] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 89 | 0.5169 [0.4157, 0.6180] | 0.7419 [0.6848, 0.7978] | 0.5618 [0.4607, 0.6629] | 0.8709 [0.8369, 0.9043] |
+| datascience.stackexchange.com | 38 | 0.3684 [0.2105, 0.5263] | 0.6732 [0.5943, 0.7566] | 0.4737 [0.3158, 0.6316] | 0.8446 [0.7954, 0.8934] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 59 | 0.5254 [0.3898, 0.6441] | 0.7599 [0.6949, 0.8220] | 0.5763 [0.4576, 0.6949] | 0.8922 [0.8577, 0.9259] |
+| length_skewed | 68 | 0.4265 [0.3088, 0.5441] | 0.6880 [0.6225, 0.7537] | 0.5000 [0.3824, 0.6176] | 0.8378 [0.7953, 0.8781] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.4426, accepted MRR=0.7076, vote@1=0.5177, vote nDCG=0.8578.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
+- `prediction_sha256`: `49e3ee71f85f9fe4da76b7991def6b59bc1070e6f3b74ef5aae10cdcd7456e5d`
+- `total_runtime_ms`: `1.1627`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/random_test_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/random_test_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6adfecc0f0739c8dd44f8bc646cab8a9f30a0d12
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_test_predictions.jsonl
@@ -0,0 +1,127 @@
+{"instance_id": "ai.stackexchange.com:q:43301", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43307", "ai.stackexchange.com:a:43304"], "run_config_hash": "seed=42", "runtime_ms": 0.042499999835854396, "scores": [0.8003988140149776, 0.3879233194511123]}
+{"instance_id": "ai.stackexchange.com:q:43453", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43455", "ai.stackexchange.com:a:43505"], "run_config_hash": "seed=42", "runtime_ms": 0.007799999366397969, "scores": [0.5414612825569874, 0.31275884528323367]}
+{"instance_id": "ai.stackexchange.com:q:43471", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:45124", "ai.stackexchange.com:a:43473"], "run_config_hash": "seed=42", "runtime_ms": 0.006900001608300954, "scores": [0.7142470186261847, 0.16967328212727573]}
+{"instance_id": "ai.stackexchange.com:q:43547", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43581", "ai.stackexchange.com:a:43568"], "run_config_hash": "seed=42", "runtime_ms": 0.006399999620043673, "scores": [0.8332904595322927, 0.573730940978916]}
+{"instance_id": "ai.stackexchange.com:q:43550", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43552", "ai.stackexchange.com:a:43622", "ai.stackexchange.com:a:43551"], "run_config_hash": "seed=42", "runtime_ms": 0.008999999408842996, "scores": [0.41078271156907165, 0.3491788396580461, 0.3124063025397091]}
+{"instance_id": "ai.stackexchange.com:q:43641", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43686", "ai.stackexchange.com:a:43692"], "run_config_hash": "seed=42", "runtime_ms": 0.005899999450775795, "scores": [0.7362470936340472, 0.595917596774885]}
+{"instance_id": "ai.stackexchange.com:q:43805", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43806", "ai.stackexchange.com:a:43808"], "run_config_hash": "seed=42", "runtime_ms": 0.005700001565855928, "scores": [0.9278247830375681, 0.8542384340079083]}
+{"instance_id": "ai.stackexchange.com:q:43820", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43859", "ai.stackexchange.com:a:43861", "ai.stackexchange.com:a:44938"], "run_config_hash": "seed=42", "runtime_ms": 0.008200000593205914, "scores": [0.8713567159908422, 0.5982325305900075, 0.38129284065602587]}
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+{"instance_id": "ai.stackexchange.com:q:43868", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:43873", "ai.stackexchange.com:a:43891"], "run_config_hash": "seed=42", "runtime_ms": 0.005700001565855928, "scores": [0.7536877262034279, 0.6656727137236893]}
+{"instance_id": "ai.stackexchange.com:q:44907", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:44913", "ai.stackexchange.com:a:44932"], "run_config_hash": "seed=42", "runtime_ms": 0.005500000042957254, "scores": [0.4322432269464613, 0.3520183830906679]}
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+{"instance_id": "ai.stackexchange.com:q:45341", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:48322", "ai.stackexchange.com:a:45343"], "run_config_hash": "seed=42", "runtime_ms": 0.006000000212225132, "scores": [0.9593763392660173, 0.47817116589574826]}
+{"instance_id": "ai.stackexchange.com:q:45383", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:45388", "ai.stackexchange.com:a:45384"], "run_config_hash": "seed=42", "runtime_ms": 0.00650000038149301, "scores": [0.2565084958961344, 0.05023808812785573]}
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diff --git a/benchmarks/answer_reranking/v0.2.1/random_test_report.json b/benchmarks/answer_reranking/v0.2.1/random_test_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..49dc8b21aa09c743cc6d720dfb3954a905a0be1b
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_test_report.json
@@ -0,0 +1,270 @@
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+      "pairwise_accuracy_clean": 0.6666666666666666,
+      "vote_ndcg": 0.9914197446015787,
+      "vote_top1_accuracy": 0.9714285714285714
+    },
+    "accepted_unique_top": {
+      "accepted_hit_at_1": 0.373134328358209,
+      "accepted_mrr": 0.6671641791044776,
+      "clean_pair_count": 93,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.2537313432835821,
+          0.4925373134328358
+        ],
+        "accepted_mrr": [
+          0.6024875621890549,
+          0.7318407960199005
+        ],
+        "pairwise_accuracy_clean": [
+          0.336734693877551,
+          0.55
+        ],
+        "vote_ndcg": [
+          0.7572348849171501,
+          0.8407638970080351
+        ],
+        "vote_top1_accuracy": [
+          0.2537313432835821,
+          0.4925373134328358
+        ]
+      },
+      "instances": 67,
+      "pairwise_accuracy_clean": 0.44086021505376344,
+      "vote_ndcg": 0.7988557264820983,
+      "vote_top1_accuracy": 0.373134328358209
+    }
+  },
+  "by_source_site": {
+    "ai.stackexchange.com": {
+      "accepted_hit_at_1": 0.5168539325842697,
+      "accepted_mrr": 0.7419475655430712,
+      "clean_pair_count": 75,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.4157303370786517,
+          0.6179775280898876
+        ],
+        "accepted_mrr": [
+          0.6848314606741575,
+          0.797752808988764
+        ],
+        "pairwise_accuracy_clean": [
+          0.35714285714285715,
+          0.6029411764705882
+        ],
+        "vote_ndcg": [
+          0.83686533061652,
+          0.904271282051788
+        ],
+        "vote_top1_accuracy": [
+          0.4606741573033708,
+          0.6629213483146067
+        ]
+      },
+      "instances": 89,
+      "pairwise_accuracy_clean": 0.48,
+      "vote_ndcg": 0.8709379541998153,
+      "vote_top1_accuracy": 0.5617977528089888
+    },
+    "datascience.stackexchange.com": {
+      "accepted_hit_at_1": 0.3684210526315789,
+      "accepted_mrr": 0.6732456140350878,
+      "clean_pair_count": 23,
+      "confidence_intervals_95": {
+        "accepted_hit_at_1": [
+          0.21052631578947367,
+          0.5263157894736842
+        ],
+        "accepted_mrr": [
+          0.5942982456140351,
+          0.756578947368421
+        ],
+        "pairwise_accuracy_clean": [
+          0.16666666666666666,
+          0.5416666666666666
+        ],
+        "vote_ndcg": [
+          0.7953946299115037,
+          0.8934127990193844
+        ],
+        "vote_top1_accuracy": [
+          0.3157894736842105,
+          0.631578947368421
+        ]
+      },
+      "instances": 38,
+      "pairwise_accuracy_clean": 0.34782608695652173,
+      "vote_ndcg": 0.8446351007770151,
+      "vote_top1_accuracy": 0.47368421052631576
+    }
+  },
+  "diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
+  "length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
+  "macro_by_source_site": {
+    "accepted_hit_at_1": 0.4426374926079243,
+    "accepted_mrr": 0.7075965897890795,
+    "pairwise_accuracy_clean": 0.41391304347826086,
+    "sites": 2,
+    "vote_ndcg": 0.8577865274884152,
+    "vote_top1_accuracy": 0.5177409816676523
+  },
+  "overall": {
+    "accepted_hit_at_1": 0.47244094488188976,
+    "accepted_mrr": 0.7213910761154855,
+    "clean_pair_count": 98,
+    "confidence_intervals_95": {
+      "accepted_hit_at_1": [
+        0.3858267716535433,
+        0.5590551181102362
+      ],
+      "accepted_mrr": [
+        0.6750656167979001,
+        0.7679790026246719
+      ],
+      "pairwise_accuracy_clean": [
+        0.3465346534653465,
+        0.5555555555555556
+      ],
+      "vote_ndcg": [
+        0.8353218545250032,
+        0.8910111607976217
+      ],
+      "vote_top1_accuracy": [
+        0.44881889763779526,
+        0.6220472440944882
+      ]
+    },
+    "instances": 127,
+    "pairwise_accuracy_clean": 0.4489795918367347,
+    "vote_ndcg": 0.8630678090811819,
+    "vote_top1_accuracy": 0.5354330708661418
+  }
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/random_test_run_manifest.json b/benchmarks/answer_reranking/v0.2.1/random_test_run_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b40efeaa9fc2632ba76697d2a22f8e32e2679929
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_test_run_manifest.json
@@ -0,0 +1,25 @@
+{
+  "artifact_type": "community_qa_lab_benchmark_run",
+  "created_at": "2026-08-09T18:58:10.395813+00:00",
+  "device": "cpu",
+  "input_path": "data\\processed\\v0.2.0\\test.parquet",
+  "input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
+  "model_id": "random-seed-42",
+  "package_versions": {
+    "huggingface-hub": "1.27.0",
+    "pyarrow": "25.0.0",
+    "sentence-transformers": "5.5.1",
+    "torch": "2.11.0+cu128",
+    "transformers": "5.7.0"
+  },
+  "prediction_count": 127,
+  "prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\random_test_predictions.jsonl",
+  "prediction_run_config_hashes": [
+    "seed=42"
+  ],
+  "prediction_sha256": "49e3ee71f85f9fe4da76b7991def6b59bc1070e6f3b74ef5aae10cdcd7456e5d",
+  "python_version": "3.11.9",
+  "ranker_class": "DeterministicRandomRanker",
+  "seed": 42,
+  "total_runtime_ms": 1.1627
+}
diff --git a/benchmarks/answer_reranking/v0.2.1/random_validation.md b/benchmarks/answer_reranking/v0.2.1/random_validation.md
new file mode 100644
index 0000000000000000000000000000000000000000..978d720066570cfc2461ee2f4451170ce8e25c05
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_validation.md
@@ -0,0 +1,51 @@
+# random-seed-42 on validation
+
+Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
+
+| Metric | Value with 95% bootstrap CI |
+| --- | ---: |
+| instances | 306 |
+| accepted_hit_at_1 | 0.4771 [0.4216, 0.5327] |
+| accepted_mrr | 0.7234 [0.6930, 0.7534] |
+| vote_top1_accuracy | 0.6471 [0.5915, 0.6993] |
+| vote_ndcg | 0.9000 [0.8835, 0.9160] |
+| pairwise_accuracy_clean | 0.5088 [0.4389, 0.5796] |
+
+## By disagreement label
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| accepted_below_top | 43 | 0.3488 [0.2093, 0.4884] | 0.6473 [0.5678, 0.7287] | 0.5581 [0.4186, 0.6977] | 0.8826 [0.8412, 0.9228] |
+| accepted_tied_top | 96 | 0.5312 [0.4271, 0.6354] | 0.7569 [0.7049, 0.8090] | 0.9792 [0.9479, 1.0000] | 0.9958 [0.9900, 1.0000] |
+| accepted_unique_top | 167 | 0.4790 [0.4072, 0.5509] | 0.7238 [0.6835, 0.7642] | 0.4790 [0.4072, 0.5509] | 0.8493 [0.8257, 0.8726] |
+
+## By source site
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| ai.stackexchange.com | 113 | 0.4336 [0.3451, 0.5221] | 0.6987 [0.6504, 0.7493] | 0.5487 [0.4602, 0.6372] | 0.8603 [0.8298, 0.8903] |
+| datascience.stackexchange.com | 193 | 0.5026 [0.4301, 0.5699] | 0.7379 [0.7003, 0.7746] | 0.7047 [0.6425, 0.7668] | 0.9232 [0.9052, 0.9402] |
+
+## Answer-length diagnostic
+
+| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| length_matched | 124 | 0.5242 [0.4355, 0.6129] | 0.7581 [0.7137, 0.8024] | 0.6855 [0.6048, 0.7661] | 0.9128 [0.8894, 0.9360] |
+| length_skewed | 182 | 0.4451 [0.3736, 0.5165] | 0.6998 [0.6592, 0.7395] | 0.6209 [0.5495, 0.6923] | 0.8912 [0.8688, 0.9127] |
+
+## Macro by source site
+
+Unweighted mean across 2 observed sites: accepted@1=0.4681, accepted MRR=0.7183, vote@1=0.6267, vote nDCG=0.8917.
+
+## Reproducibility
+
+- `device`: `cpu`
+- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
+- `prediction_sha256`: `fbb65f20f27bd779594c6c629f31ca25e463a652033bcce20f64d53074c6f759`
+- `total_runtime_ms`: `0.8679`
+
+Bootstrap: 10000 question-level resamples, seed=42.
+
+length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
+
+accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
diff --git a/benchmarks/answer_reranking/v0.2.1/random_validation_predictions.jsonl b/benchmarks/answer_reranking/v0.2.1/random_validation_predictions.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..6d928f735e06d8b7fcb5bf2c460d8dbf6f2f8f43
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_validation_predictions.jsonl
@@ -0,0 +1,306 @@
+{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34052", "ai.stackexchange.com:a:34033"], "run_config_hash": "seed=42", "runtime_ms": 0.056799999583745375, "scores": [0.5819732853887949, 0.5466994200139178]}
+{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34047", "ai.stackexchange.com:a:34044"], "run_config_hash": "seed=42", "runtime_ms": 0.0039000005926936865, "scores": [0.9608462982760694, 0.3661156770761708]}
+{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34073", "ai.stackexchange.com:a:34072"], "run_config_hash": "seed=42", "runtime_ms": 0.006199999916134402, "scores": [0.8556482641146732, 0.25028264800808775]}
+{"instance_id": "ai.stackexchange.com:q:34244", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34246", "ai.stackexchange.com:a:37382"], "run_config_hash": "seed=42", "runtime_ms": 0.003499999365885742, "scores": [0.8981111613900296, 0.2558233457769497]}
+{"instance_id": "ai.stackexchange.com:q:34284", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34665", "ai.stackexchange.com:a:34629"], "run_config_hash": "seed=42", "runtime_ms": 0.0029000002541579306, "scores": [0.9290997187922028, 0.17925182883005092]}
+{"instance_id": "ai.stackexchange.com:q:34342", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:36245", "ai.stackexchange.com:a:34343"], "run_config_hash": "seed=42", "runtime_ms": 0.0026999987312592566, "scores": [0.3577518600046185, 0.22303309484965889]}
+{"instance_id": "ai.stackexchange.com:q:34408", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34410", "ai.stackexchange.com:a:34409"], "run_config_hash": "seed=42", "runtime_ms": 0.0024000000848900527, "scores": [0.5753078974637265, 0.5308074150800858]}
+{"instance_id": "ai.stackexchange.com:q:34452", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34456", "ai.stackexchange.com:a:34454"], "run_config_hash": "seed=42", "runtime_ms": 0.00270000055024866, "scores": [0.7027218243933636, 0.23695529922482308]}
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+{"instance_id": "ai.stackexchange.com:q:34851", "model_id": "random-seed-42", "ranked_answer_ids": ["ai.stackexchange.com:a:34853", "ai.stackexchange.com:a:34854"], "run_config_hash": "seed=42", "runtime_ms": 0.0026000016077887267, "scores": [0.41778491430420045, 0.04382849881283972]}
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diff --git a/benchmarks/answer_reranking/v0.2.1/random_validation_report.json b/benchmarks/answer_reranking/v0.2.1/random_validation_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb491a4eb1d8d833cae61b0839cbed9ded7f27a7
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/random_validation_report.json
@@ -0,0 +1,270 @@
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new file mode 100644
index 0000000000000000000000000000000000000000..d2437c9592891a2e2ef454002131dee79d539a91
--- /dev/null
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diff --git a/benchmarks/answer_reranking/v0.2.1/release_manifest.json b/benchmarks/answer_reranking/v0.2.1/release_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..dda63d28a30d661cb44ebb15626eba39254222cb
--- /dev/null
+++ b/benchmarks/answer_reranking/v0.2.1/release_manifest.json
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