Archive 4 checkpoints (1-4)

paper-releases/pbisc-diffusion/updates/20261012T130738Z-strictpairs-implementation/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/archive/20261012T130738Z-strictpairs-implementation/snapshot/scsemi/ye2026_sepsis/disease/draw3/status.json

@@ -0,0 +1,11 @@
+{
+ "prepared": true,
+ "n_reps": 5,
+ "reps_pretrained": 0,
+ "n_targets": 77,
+ "targets_done": 0,
+ "pretrain_complete": false,
+ "infer_complete": false,
+ "run_signature": "5da993f903f971d1e91d88ab76fd17fb322ef6de7a014a95d08c5deb329397ac",
+ "updated": "2026-10-12T12:43:50.805372+00:00"
+}

paper-releases/pbisc-diffusion/updates/20261012T130738Z-strictpairs-implementation/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/archive/20261012T130738Z-strictpairs-implementation/snapshot/scsemi/ye2026_sepsis/disease/draw4/adopted_legacy/ADOPTION.json

@@ -0,0 +1,308 @@
+{
+  "schema": "pbisc.scsemi.legacy-adoption-proof.v1",
+  "status": "verified_source_not_native_strict_run",
+  "cohort": "ye2026_sepsis",
+  "unit": "draw4_n5",
+  "support_sha256": "e72d06f5f4f5c10cf7fff8edaee1493e18c67dc4bbf65793eae6c984120cc4d2",
+  "source_work": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scsemi/work/ye2026_sepsis/fewshot_n5/draw4",
+  "strict_work": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/scsemi/ye2026_sepsis/disease/draw4",
+  "source_generated": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/generated/ye2026_sepsis/fewshot_n5/draw4/scsemi5__raw.npz",
+  "source_generated_sha256": "15416b96afcabe3ed0f42d3c75eaa85a1bf14844b5bc2e2ec781dce7ce455619",
+  "source_generated_receipt_sha256": "be99b5c27d5659ebf4b829fde12c7d3e0267872f13cea7622ed1914ebdb453bc",
+  "source_run_signature": "032faf3612defb069bc2a17c0347bd1479bf686c2adbd7a1c72f9042c69b66d3",
+  "strict_prepared_run_signature": "95f07df5052abc087f7b313c3f0bdd4a441e60b9fcf6072323e26964ad6fcdf6",
+  "source_provenance": {
+    "old_initial_source": {
+      "repository": "https://github.com/mcgilldinglab/scSemiProfiler",
+      "commit": "c2aea021188759e56ecf14578915c0237aaa75d2",
+      "compatibility_patch_sha256": "e9a97451cedfda3ed3da9a6dd6dfd48861bc9301316b259abea158367624c338",
+      "changes": [
+        "remove unused scvi.nn.one_hot import",
+        "translate legacy use_gpu to accelerator/devices",
+        "avoid empty slice when geneset_len is zero"
+      ],
+      "files": {
+        "scSemiProfiler/__init__.py": "4ee4e83fcd8456510c5cc44bb1eb2386894a51bcbab07a8308a804b07d85d856",
+        "scSemiProfiler/fast_generator.py": "1e384ec831461748c095b8c2fa2d57fee1a86758c4d832e6e0926f8f6c47ad8f",
+        "scSemiProfiler/get_eg_representatives.py": "f63ca0d6763546bbb3d7ec849254a6d4652d6c1a4063794b9c690be86f0a124c",
+        "scSemiProfiler/inference.py": "88997c6bf752d6c939ef527a0c9cfcf24065076faf204d84cf64cff5f0282d39",
+        "scSemiProfiler/initial_setup.py": "9f97b5cd0b7222bca234b4283f16147baf48b6a9baa3407a851301f1d6da6518",
+        "scSemiProfiler/oldinference.py": "61f026515f6307de4823b96abfdb0352f4c06f1b4ad08cfc1909f67b6db8aa00",
+        "scSemiProfiler/representative_selection.py": "9dae94b83ebbe3ffff6fe2daddaf480bff4d183ab6fcdc76c844d89c1de462cf",
+        "scSemiProfiler/singlecell_process.py": "512e0a2dd6f613175512dcecdcad2eb045bf9267b044020a7eff0d6d8393377a",
+        "scSemiProfiler/utils.py": "0a864ea2f202eda428c65c69400ebc93d981ce82a39cfe773db12ec5670d74af",
+        "scSemiProfiler/vaegan.py": "e847bf9d0739214940e136db5c1bb4c02a15af497136e2db087763124ae4193f"
+      }
+    },
+    "strict_source": {
+      "repository": "https://github.com/mcgilldinglab/scSemiProfiler",
+      "commit": "c2aea021188759e56ecf14578915c0237aaa75d2",
+      "compatibility_patch_sha256": "314d353002ffb482b4ed4b61a32b280a50ff8b6a9933512ada9fdc74c17b1711",
+      "changes": [
+        "remove unused scvi.nn.one_hot import",
+        "translate legacy use_gpu to accelerator/devices",
+        "avoid empty slice when geneset_len is zero",
+        "drop a size-1 trailing training batch: scvi DataSplitter(drop_last=True) only when n_obs % batch_size == 1 (upstream's own commented-out remedy); all other cell counts unchanged"
+      ],
+      "files": {
+        "scSemiProfiler/__init__.py": "4ee4e83fcd8456510c5cc44bb1eb2386894a51bcbab07a8308a804b07d85d856",
+        "scSemiProfiler/fast_generator.py": "1e384ec831461748c095b8c2fa2d57fee1a86758c4d832e6e0926f8f6c47ad8f",
+        "scSemiProfiler/get_eg_representatives.py": "f63ca0d6763546bbb3d7ec849254a6d4652d6c1a4063794b9c690be86f0a124c",
+        "scSemiProfiler/inference.py": "88997c6bf752d6c939ef527a0c9cfcf24065076faf204d84cf64cff5f0282d39",
+        "scSemiProfiler/initial_setup.py": "9f97b5cd0b7222bca234b4283f16147baf48b6a9baa3407a851301f1d6da6518",
+        "scSemiProfiler/oldinference.py": "61f026515f6307de4823b96abfdb0352f4c06f1b4ad08cfc1909f67b6db8aa00",
+        "scSemiProfiler/representative_selection.py": "9dae94b83ebbe3ffff6fe2daddaf480bff4d183ab6fcdc76c844d89c1de462cf",
+        "scSemiProfiler/singlecell_process.py": "512e0a2dd6f613175512dcecdcad2eb045bf9267b044020a7eff0d6d8393377a",
+        "scSemiProfiler/utils.py": "0a864ea2f202eda428c65c69400ebc93d981ce82a39cfe773db12ec5670d74af",
+        "scSemiProfiler/vaegan.py": "5d8d6638616ae29b443c5c95ed4664c3cf2b8f0f040d2e502f3c9d6157615e23"
+      },
+      "previous_manifest_sha256": "229f8a7070d49972a51430ed88a2ad604d85513cfda05c1d124a4e53a4aa0636"
+    },
+    "approved_migration": {
+      "at": "2026-09-29T22:47:27.332653+00:00",
+      "host": "spark-0110.local",
+      "from_code_signature": "032faf3612defb069bc2a17c0347bd1479bf686c2adbd7a1c72f9042c69b66d3",
+      "to_code_signature": "2948cb312c1e76c1cb1fd6fb20a7e63c9e7ab7c921c25f4d8814d430768345a5",
+      "changed": [
+        "source",
+        "wrapper_sha256"
+      ],
+      "transitions": [
+        "trailing_size1_batch_20260928",
+        "wrapper_migration_support_20260928"
+      ],
+      "to_binding": {
+        "protocol": {
+          "method": "scSemiProfiler",
+          "setting": "paired_fixed_representatives_realbulk_genesets",
+          "upstream_commit": "c2aea021188759e56ecf14578915c0237aaa75d2",
+          "initsetup": {
+            "logged": false,
+            "normed": false,
+            "geneselection": false,
+            "batch": 1
+          },
+          "scprocess": {
+            "logged": false,
+            "normed": false,
+            "cellfilter": false,
+            "threshold": 0.001,
+            "geneset": true,
+            "weight": 0.5,
+            "k": 15
+          },
+          "representatives": "fixed: every usable row of the split's training donors (no active learning)",
+          "assignment": "upstream representative_selection.update_membership: nearest representative by Euclidean distance in processed_bulkdata.obsm['X_pca'] (initsetup PCA of log1p CP10K real bulk)",
+          "pretrain1": {
+            "vaesteps": 100,
+            "gansteps": 100,
+            "lr": 0.001,
+            "k": 15,
+            "diagw": 1
+          },
+          "pretrain2": {
+            "vaesteps": 50,
+            "gansteps": 50,
+            "lr": 0.0001,
+            "k": 15,
+            "diagw": 1.0
+          },
+          "infer": {
+            "bulktype": "real",
+            "pseudocount": 0.1,
+            "lr": 0.0002,
+            "epochs": 150,
+            "ministages": 5,
+            "k": 15,
+            "diagw": 1.0
+          },
+          "seeds": {
+            "base": 20260927,
+            "pretrain1": "base + 1000 + bulk row index",
+            "pretrain2": "base + 2000 + bulk row index",
+            "target": "base + bulk row index (frozen campaign rule)"
+          },
+          "output_unit": "normalized_expression (upstream fast_semi output: ZINB mean, rep-cell library, values <= 10 zeroed)",
+          "cellgraph_impl": "tools/lean_cellgraph.fast_cellgraph_lean replaces upstream singlecell_process.fast_cellgraph inside scprocess: same arithmetic, chunked (16 GiB CPU cap); bit-identical outputs verified (validation/lean_cellgraph_*.json)",
+          "scprocess_orchestration": "cohort hvset first (upstream scprocess's own steps: sorted sample_ids, normalize_total 1e4, dense, X*(X>10), getGeneSetMatrix score formula, concatenate, log1p, highly_variable_genes) -> hvset.npy; then upstream scprocess once per representative (it skips hvset when hvset.npy exists). Bit-identical to one scprocess call over all representatives (validation/prepared_*.json); peak memory is one representative"
+        },
+        "inputs": {
+          "bulk.h5ad": "597c2cb2ddab0f8d68866bd3b70512f8fd356734998b753ef59bc1960a33750d",
+          "rep_sc.h5ad": "d57955ea8f28eced3253f4371b9c1143d9bba6a4498b663cda57baea0b87eb45"
+        },
+        "source": {
+          "repository": "https://github.com/mcgilldinglab/scSemiProfiler",
+          "commit": "c2aea021188759e56ecf14578915c0237aaa75d2",
+          "compatibility_patch_sha256": "314d353002ffb482b4ed4b61a32b280a50ff8b6a9933512ada9fdc74c17b1711",
+          "changes": [
+            "remove unused scvi.nn.one_hot import",
+            "translate legacy use_gpu to accelerator/devices",
+            "avoid empty slice when geneset_len is zero",
+            "drop a size-1 trailing training batch: scvi DataSplitter(drop_last=True) only when n_obs % batch_size == 1 (upstream's own commented-out remedy); all other cell counts unchanged"
+          ],
+          "files": {
+            "scSemiProfiler/__init__.py": "4ee4e83fcd8456510c5cc44bb1eb2386894a51bcbab07a8308a804b07d85d856",
+            "scSemiProfiler/fast_generator.py": "1e384ec831461748c095b8c2fa2d57fee1a86758c4d832e6e0926f8f6c47ad8f",
+            "scSemiProfiler/get_eg_representatives.py": "f63ca0d6763546bbb3d7ec849254a6d4652d6c1a4063794b9c690be86f0a124c",
+            "scSemiProfiler/inference.py": "88997c6bf752d6c939ef527a0c9cfcf24065076faf204d84cf64cff5f0282d39",
+            "scSemiProfiler/initial_setup.py": "9f97b5cd0b7222bca234b4283f16147baf48b6a9baa3407a851301f1d6da6518",
+            "scSemiProfiler/oldinference.py": "61f026515f6307de4823b96abfdb0352f4c06f1b4ad08cfc1909f67b6db8aa00",
+            "scSemiProfiler/representative_selection.py": "9dae94b83ebbe3ffff6fe2daddaf480bff4d183ab6fcdc76c844d89c1de462cf",
+            "scSemiProfiler/singlecell_process.py": "512e0a2dd6f613175512dcecdcad2eb045bf9267b044020a7eff0d6d8393377a",
+            "scSemiProfiler/utils.py": "0a864ea2f202eda428c65c69400ebc93d981ce82a39cfe773db12ec5670d74af",
+            "scSemiProfiler/vaegan.py": "5d8d6638616ae29b443c5c95ed4664c3cf2b8f0f040d2e502f3c9d6157615e23"
+          },
+          "previous_manifest_sha256": "229f8a7070d49972a51430ed88a2ad604d85513cfda05c1d124a4e53a4aa0636"
+        },
+        "environment": {
+          "torch": "2.11.0+cu130",
+          "scvi-tools": "1.4.1",
+          "scanpy": "1.11.5",
+          "anndata": "0.12.19",
+          "lightning": "2.6.6",
+          "numpy": "2.5.3",
+          "scikit-learn": "1.9.1",
+          "faiss-cpu": "1.12.0",
+          "gseapy": "1.3.0"
+        },
+        "wrapper_sha256": "330895e166241c2e0545178759a1fd340d1218890dbf99d4887bdd080ba08745",
+        "lean_cellgraph_sha256": "0de823e4475786fcd86c0fb83302182ffebafe00a1dad44cdcccc99938430230",
+        "geneset_mapped_gmt_sha256": "9c4386ac1ff666fc88301e126f1a1c6452122c6b63f311131a640bffe9c4d84b"
+      }
+    }
+  },
+  "source_manifest_sha256": {
+    "inputs": "1ddb51624d2435ef320d9e3fc1b62ccd99cbcc98c635b622a3c7519e1ff11800",
+    "prepared": "1e073fff99b22fdc80dc479a9567a90c0c889a3f76772e9b74da62b5be95bf73",
+    "run": "e3f5296c423d94bb454e7494d2b4a2ddabc8d1a8f3740ff552f20a925f1fb9ee"
+  },
+  "strict_manifest_sha256": {
+    "inputs": "4ff57369a0f1c72d1ae5c0f9ac858f85e365070a213547d1d182bc6ae56e8957",
+    "prepared": "4de69f12768c399b38c4ff997fa171e66a35ef5d161fa7739ae11da368ead67f",
+    "run": "b540908efc9b31dcec34de4e8bcbddb462468a022a33677858cd943348f6ebca"
+  },
+  "prepared_assets_equal": [
+    "geneset_scores/Abd-S102.npy",
+    "geneset_scores/IC23.npy",
+    "geneset_scores/Res-PS22.npy",
+    "geneset_scores/Skin-S142.npy",
+    "geneset_scores/Skin-S46.npy",
+    "hvgenes.npy",
+    "hvmask.npy",
+    "hvset.npy",
+    "processed_bulkdata.h5ad",
+    "sample_sc/Abd-S102.h5ad",
+    "sample_sc/IC23.h5ad",
+    "sample_sc/Res-PS22.h5ad",
+    "sample_sc/Skin-S142.h5ad",
+    "sample_sc/Skin-S46.h5ad",
+    "sids.txt"
+  ],
+  "initial_selection_status_excluded": [
+    "status/init_cluster_labels.txt",
+    "status/init_representatives.txt"
+  ],
+  "source_sample_sc_cleaned_after_training": [
+    "sample_sc/Abd-S102.h5ad",
+    "sample_sc/IC23.h5ad",
+    "sample_sc/Res-PS22.h5ad",
+    "sample_sc/Skin-S142.h5ad",
+    "sample_sc/Skin-S46.h5ad"
+  ],
+  "source_cleanup_script_sha256": "0e3914bab561a8244e5b3aff3b4ba8e0f85eee00eaf19f1085c467881a31f87e",
+  "model_sha256": {
+    "fast_reconst1_Abd-S102": "d70388913174a1be7a1e4edf9c724b5d4624f98bcccdb99f0379b2b8ae46f068",
+    "fastreconst2_Abd-S102": "8c56dcc50d63b7b8b512c51439e928d14c13ca9a767bf8ecf5b604d967f561d8",
+    "fast_reconst1_IC23": "9f0f1e0982b6e4082f1b94abd94943fb9e5d27865730d0a7f9fd370edc829d11",
+    "fastreconst2_IC23": "08f9a3f1f29aad289c72f1f70e34f95134bbf8917212766d22eee88ffc20ea8c",
+    "fast_reconst1_Res-PS22": "33fc878849e73f899ac143a31d8be93201680ca1c84a368e54dae66c479d2a4c",
+    "fastreconst2_Res-PS22": "4ba7f0bbb99c436ca0eb9d8614b66908e6b482d99fd4ad6d9763d59142e940f3",
+    "fast_reconst1_Skin-S142": "9b512842c39e1b6b5602b83320e924d6583f93fe2f18a60f1680fd2dd137c6eb",
+    "fastreconst2_Skin-S142": "d4f7bd558b99ab160fa041acc0f4ea17364971b02d086d3727639fa8a7dbb46e",
+    "fast_reconst1_Skin-S46": "ea05c3e912918a56c380f6aac8773a67e8ddda829998c8f50d786f872a477b14",
+    "fastreconst2_Skin-S46": "e09f35533af0fef4e283dcabc91068abe0f1aaca756bcd43a314a9374a2a3e98"
+  },
+  "target_shard_sha256": {
+    "Abd-PS04": "72aa7820fd52d7d6f3d6193a028f1531072800f477c2392e20067306afe0fd0c",
+    "Abd-PS05": "051a2f647ca9c4b468961673fd8c2bd1a4e50fc91e9b1dfd2efbd7d36f37ffe0",
+    "Abd-PS07": "d9a98c798686144b9437a207daf13c2a84fa49769799e445eb74f6d2a251fd90",
+    "Abd-PS19": "29ccf4885760072f2cf852e02407473cf4f372c63b0808302b4a82f5766b4756",
+    "Abd-PS20": "a70ae5f06ad2bbbfb6ebe4b47158653b3faa58359bae3fcfc073731d134c0827",
+    "Abd-PS23": "38842346db394a4bef890524b5c6cc10acf495686233bd40d3aee308067eea47",
+    "Abd-PS27": "2a92a3200bda240617c3feb96f2b9b24dac0af82d6f9ef8b0fc81774ec89e8d3",
+    "Abd-S103": "fa282fd2f27bb2b158df1f4f82195eca50be0416581042539c94bf0b66c74071",
+    "Abd-S120": "f07b873ddfa28a3ae3bf9d32e1c10420580e12da24d81817b85d7909b032a5fa",
+    "Abd-S123": "b6c1e754a1e8b73351806c215de08569982f8656dda70bf4d99736a49213684f",
+    "Abd-S156": "6145cf158f7675f0d62297afffb7a664a7a7c51f38e372cd244aead420bd2cdd",
+    "Abd-S39": "8878ee05331b966783a5474b4d61e47125f49f4118825662761ab63e9850fe39",
+    "Abd-S42": "8b9e64927af4e0fbf64995d7244b28ee9c7d7807b422a89a8c64d3ba78454fe8",
+    "Abd-S47": "ecc235d9622913e84dd000513c1314601ea4e9e0b374226f4c716d5d8eb30ad8",
+    "Abd-S51": "43e4cf937e5f71ef63263fc031e9525b0b17bec3ae4a206242938c797b643dd9",
+    "Abd-S54": "ff20fbe2756c54fa61d089d55672561fba82d10c28dd9fc6dc5923a19af14ab5",
+    "Abd-S57": "6a0c3108a225c17eda63ed93d63ed41eae547a28f32aea2a1e5a47db090b45c5",
+    "Abd-S66": "555978dbfbfb7927928778e6a67dc1338829dc3c6c411ad7ebd7d8b480e12c92",
+    "Abd-S79": "0b471d6e6ab3b4e4ecdf1e48f604bffd33a03b87d18ee1101a055e1a8efaf619",
+    "Abd-S83": "5fe79672d3f377e8d8f5af8f5ae366910b9ccdfc42aba60abb688389f169f59d",
+    "Abd-S98": "2b9ff3c6243b97bd64698af66d42b2f49b91bdb8fec66b7d805c0937b3e9b2f7",
+    "HC01": "32a904a6a18803c9010aa99c3672f8405fdc58055d5eec360a4a11046fc1f1fd",
+    "HC05": "e7869d7e54e78f5c8018f8b1cbe02df78e4ffd008fd1c04c4ebbb7901191bfed",
+    "HC07": "15271956cb68329af9d74acb9c28b977a7d8eb4a189538913fc619d2f71f8b11",
+    "HC09": "b9fb3a37eed9d2e15e8a12dc465c1f81a3d7d4b8354e314a2fea63f233db04e4",
+    "HC12": "f2413d4207e993494dc5ef00de76af1f2d63b8281f4d58de0b77917673a8df6d",
+    "HC13": "6b41dbe429f763e305dcca3d2102741dd24d5df31bf0f2dfe4b072753815af5f",
+    "HC16": "f92e1a4c088842f9896cb8658a6dacc1db79666875bfb14222703186ede76163",
+    "IC10": "222360f5eaa99953007aa0190db7e9395b88f52e9d9203548fb92fde80c41b98",
+    "IC15": "80c0931cac803b9282ac6ef4b0cbc004505ef45822c15c4f35e8e0dbf3123fd9",
+    "IC16": "fc34ab5813f20dc98a81176f933e501e684f0bb67140377176977dcaf3f07c7a",
+    "IC19": "161fcdd0f7c271cd9ee28f3fde7ae42d635a8649a0b90030887b6395f232b246",
+    "IC22": "c24b71f748242d66341aeb79a420f08dbc0ed2b852bdc54c9d6b05ab5c61f779",
+    "PHC01": "b03dd121d14ad7fac925d7360cb791e3170b48338ab79bacdc45f09fb655189c",
+    "PHC02": "d268d729146ebdd866d3ee9de798913b594ce357a98f2ce26b40ec5b76d811ff",
+    "PHC03": "511c9e6dd8e749f51e77c324d03a464d8393eeaa484eac8679531e1f811f6bcf",
+    "PHC05": "bf33b75296c41c8670eaab78dcbef050443b9316f9f698d8d88b72cd6e397555",
+    "PIC01": "d88bd7456e563892b971c270a6f30b56b596b3859329f21f512e06027f6229f4",
+    "PIC02": "049e8e5370ce082ea6f309acfedd5c4710f08f61b1551e0288a2f880dd7f6419",
+    "PIC04": "9e200e8761f1be19482f6ac6bf51167ca7dae59b5872a62d43353d74e88b7ed5",
+    "PIC05": "6d55f84662d571e2b66669013542909d54e956d760b435ff2737827a631f71e7",
+    "Res-PS02": "882cab518607bdb08fcf6c3f281124f87f11217299a720c3b57b8895a1b54465",
+    "Res-PS03": "879e1d513065d3c8d48227f8bc97019cd549c476fad0a1b6fa4cd5a4e9bb0fc9",
+    "Res-PS12": "5db1577183a2fb61918982987a6eb29bd8c280a91cb9c9abaceda4127e4bb8ad",
+    "Res-PS16": "54a0eda5281260a38ae4a3228ff12409bdb0025eeb88eebd92afc96e9dda2617",
+    "Res-PS21": "03afae7f6d06432e082aba3ff0b6925b9a6f68e1956b4832b511a2bed6a0b251",
+    "Res-PS25": "229729376cc0dfe995166bba0c9e9de17cd461d95063333d490b5e650881dccf",
+    "Res-PS26": "e3075972237b93b46d5a5178a169de29f87377037ca536be84d2d0eddbc90c17",
+    "Res-S10": "4ee516d0690f08102ee191c7d8f93717bfa7fc22784e46db7641eb79adf473a9",
+    "Res-S125": "d6d9eb08f71bac3f71b3ced0a233a0d9846e5b260d6a5f519a1b565e9d88988f",
+    "Res-S127": "4a8aa49ee0855bc871e8d7fa7ba7ddeb40ba0c416372ea9fb45a5b361ede8e8d",
+    "Res-S136": "af315c987e4c9cebcf88d5a2dfaa6494e45a3f18d156451d93cc15ad137c27b7",
+    "Res-S139": "7477a9ec6cd57475aecce80450b664e884e0e20ec5cc37cb1f465d330db01d2d",
+    "Res-S146": "ef8197cb4566533a08a2c43e52f30efd32ec3a5cd888b7082312ec00f901450c",
+    "Res-S149": "c8c0915c973925be85e05f091ae098d5b643bc4b5fb1e69336e849bcd96ed076",
+    "Res-S150": "3b082ae62f5528fdbb5cb1e78c9ba6bc7f310a4772c3b293aca4705e80824cd1",
+    "Res-S164": "743f0edd6e8a0909d25e780635fdf33924b284d44eb9ac6bb11f39a1c6d49f4a",
+    "Res-S166": "eca3653cd1859588ea9ab5922828ebbf5361905f5ac88dd7c235b235a032c327",
+    "Res-S174": "2fb5c136e6759520c325bb63421c2761b8f1e1c66549b23bce3560f8941531a8",
+    "Res-S177": "17d6a0013adbb36f99da5e4ab26678acc7be3b9de5c6e63fbf0a26c5c3fb3313",
+    "Res-S184": "752bceca1e6fb0e61d0738c5a0a0057cedd614bb91a2163f8bd9a126cc3e8d3d",
+    "Res-S19": "616d7b6e045d90de9e39b6a4c383fde1ab9caaccfa3f137367961df9b6764a81",
+    "Res-S26": "d6b7a99a525eb4cca295f8522e3c6e6343af371aa7fd4fd425fd651b98aa91fe",
+    "Res-S40": "479a0e054a046f96b214b0e4c1a4e5771421d154620ccb82627ccfadf8c324dc",
+    "Res-S77": "fa4790f6be26c23d1aee520cf30170e242d35bf60ec5f1484798ac6829c8b755",
+    "Res-S87": "f49524c0bdb0c583924f8824206819eecef6fe54fb819fb18906005f7ccdb6a3",
+    "Skin-S140": "4d26827fa56dc5d6c4c17c7ddd88eb5323c745d699fa3e3809d82d5db5ab9ba4",
+    "Skin-S152": "6ce0ca13c839847dc254206ff8dabc59bc46eb9c27f94b532b45b3f818443a05",
+    "Skin-S38": "71cb7ef11ce19807c10fb321226deeb6b83b1260a4655deabb81969c8124dfb3",
+    "Skin-S43": "04a5cc47e89d6bb3f4fc3e3109d82bd105adfebaf24b412920a19e6d6e55f00b",
+    "Skin-S52": "8ee62a82a7a4aaf2b91ea1927ce1579d37410a72b4c01097db6770c89dc189f1",
+    "Skin-S74": "5fe6efb0dffc8e11030ed3ff8ef9828f48574fc85fa1f2377385103292fd2189",
+    "Uri-S134": "9e67f90f528972336f8001c0bfb35addc976fef408a8ecf200cf588962043437",
+    "Uri-S147": "276093f9dbe7e63ac7188c26138ef33b5f07a04c3f8f019fbd563ec05641197b",
+    "Uri-S157": "02e5f4186be0f91a8196c9074c65bd62fcfdc2bade68f3cf2500b097e1cda3ef",
+    "Uri-S20": "c7672f762d6ecfed8ee029f2879054623eaec8a9daf8a783e0138e624cc186d6",
+    "Uri-S93": "d3858488812dad047477afc520f6aeedd0ab9a9fc86b7a4775e80919c4a3990d"
+  },
+  "scientific_equivalence": "same exact five representatives and target samples, same raw bulk condition, modeled genes, depth, cell counts after identity alignment, n-only HVG and all pretraining assets, protocol/seed and verified source model/shard/output receipts",
+  "provenance_limit": "legacy work was run as fewshot, not as a native strict-support run; source signature and old metadata remain unchanged",
+  "adopted_evidence_dir": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/scsemi/ye2026_sepsis/disease/draw4/adopted_legacy",
+  "linked_files": 190
+}

paper-releases/pbisc-diffusion/updates/20261012T130738Z-strictpairs-implementation/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/archive/20261012T130738Z-strictpairs-implementation/snapshot/scsemi/ye2026_sepsis/disease/draw4/adopted_legacy/prepared.json

@@ -0,0 +1,24 @@
+{
+ "run_signature": "032faf3612defb069bc2a17c0347bd1479bf686c2adbd7a1c72f9042c69b66d3",
+ "seconds": 54.3,
+ "files": {
+  "processed_bulkdata.h5ad": "4f30a8d78b80970fcad53b33c762e7fb6aff72f84f42b44ac3141a6c988f012e",
+  "hvgenes.npy": "a7a9391c586345bd4b3256fa49f9306a83d0b0a67782f38d8e7cc45ac88bd904",
+  "sids.txt": "c588aba0674f666b60a23bc105e85757e794ad756a2e896aff8b448f32a70bab",
+  "hvset.npy": "b34bc36f3cd1983c653a8c9f95304581e7d9d3b6c49a0479e2842af55308d05e",
+  "hvmask.npy": "c9041ba160d58c351da2151f461fdb6171042966c1dbc72c32b71f39b03442a8",
+  "status/init_representatives.txt": "95e41df8dcfa255967fd5e19fa73731ffded7519b9907e236127f77a07f2aad2",
+  "status/init_cluster_labels.txt": "fc38536d0dfd6abb7af462e2ce094674008c77312e9b3790f82ad0a14c7421dd",
+  "sample_sc/Abd-S102.h5ad": "e17aa639389766817eeb12209f5cc430b298f3600d982297475c0bf309615190",
+  "sample_sc/IC23.h5ad": "6662ccd67455fbffc7310480eac28441053f68982a63246320a90434c857c1dd",
+  "sample_sc/Res-PS22.h5ad": "d51c8ba6cb7b24c58bd6a3ae383ca8cb8ab018c8c73891a105a0b4971eba3974",
+  "sample_sc/Skin-S142.h5ad": "08b91f8ab5e95199cf2ea89696bafc509a9ad47f1bd23b277dc22a4ff9e62de9",
+  "sample_sc/Skin-S46.h5ad": "8de573656216ddeca4da88e860a0817da05f0ee2a50de83164b13c54257fb064",
+  "geneset_scores/Abd-S102.npy": "b3c8f9390ff23041fd26d30425103094256ceab7739b20e0e8f256744cbc1692",
+  "geneset_scores/IC23.npy": "c428fcb488d22999cb8a7ed923adef66f69e4c64da758d3b6caf12a0e3c0e940",
+  "geneset_scores/Res-PS22.npy": "af01f4dabeb0427ba4b89222b88f582830cd1bfbc2ad7c6a9a38df4b1beb681d",
+  "geneset_scores/Skin-S142.npy": "ad69843bba5f6bbe93366efca38de4a1253607590c3d394a9b2340ff6b9bd3b9",
+  "geneset_scores/Skin-S46.npy": "23238aa6f62ac988ac80bdd462937410d98896a3c34223183c7b9598316a90af"
+ },
+ "genesets_gmt_sha256": "9c4386ac1ff666fc88301e126f1a1c6452122c6b63f311131a640bffe9c4d84b"
+}