packaging/verification.md

Release verification

Source base: b51637c42b531a6418c52cc6f78d585f882dc01c on the public IWIBench main branch. Dataset implementation: 0.2.6+hf.1, catalog development-combinations-v1. Verifiers v1 revision: 5dad16d40e2d025672fdb7aa75b6540c0053e4e0.

Dataset and checker verification

• Exactly 1,000 public environment rows and 1,000 corresponding regenerated grading episodes, covering ten families with 100 actual parameter settings per family. A separate local build also validated full grading exports; those exports are omitted from the public release.
• Unique row IDs and canonical parameter SHA256 hashes within each family. Resistance variants also have different underlying target-problem sets.
• Deterministic full-episode replay and complete canonical episode SHA256 checks for all 1,000 records.
• JSON Schema validation and JSONL/Parquet equality for the public environment export. The separate local full-payload build also passed JSONL/Parquet equality for its trusted grading exports.
• Independent generation into a second directory produced byte-identical JSONL and Parquet files using the recorded Arrow version.
• 109,137 grading-item round trips. Every public-practice/calibration/target/control item has an accepted synthetic completion and rejects empty text.
• Synthetic reward 1 and no-op reward 0 for each of the 1,000 episodes, using the original scoring and calibration functions. Alias tokenization metadata in these checks is a software fixture, not native Gemma tokenization evidence.
• Public projections exclude all terminal/calibration groups and their prompt strings. Native task construction allowlists only task routing fields, and setup obtains editor-visible objective/practice/manifest data from the service.
• Every episode retains 64 general controls. Single-association families remain single-association tasks. The original test pools stay separate.
• Factual additions have 90 distinct associations, dated primary provenance, accepted/stale separation and effective/source dates no later than 2026-03-01. The self-contained source audit documents reference-date continuity and any retrospective-biography inference.

Environment integration and regression checks

• Real native Verifiers v1 task construction for all 1,000 rows and native taskset selection via variant_limit=100.
• Actual HTTP lifecycle tests cover setup, catalog-index forwarding, tool dispatch, finalization and reward; private grading data stays outside editor traces. Service tests exercise catalog selection and unchanged baseline admission with small actual tensors and explicitly synthetic completions.
• Native CLI dry run accepts configs/variants.toml without invoking an editor or target model.
• The standard datasets.load_dataset API loaded the published 1,000-row train split at an immutable Hub revision, with 100 distinct parameter settings per family and successful native task construction from sampled remote rows. datasets==3.6.0 is pinned for compatibility with the benchmark's huggingface-hub==0.36.2; a newer datasets release required Hub symbols absent from that pin. The export test now exercises the standard library loader directly.
• Built the distributable wheel and checked packaged JSON resources and all 1,000 native tasks from an extracted installed-wheel layout.
• All 4,000 native episode digests matched an untouched source snapshot: ten families, two target identities and seeds 0–199. The native seed path is unchanged.
• All 23 tracked benchmark result files match their original Git blob bytes. Original data/facts.json is unchanged. The source repository has a pre-existing CRLF Git-attribute inconsistency in one result CSV; it can appear modified to Git despite matching the committed bytes. That file is excluded from the implementation commit and upload.
• Full source python -m pytest -q: 368 passed, 1 failed. The failure is tests/test_pilot.py::test_existing_live_pid_is_waited_and_recovered, because the original process-identity implementation reads Linux /proc/<pid>/stat on this macOS host. The identical test also fails against an untouched archive of the pinned source. No unrelated process-management repair was made. One upstream Verifiers deprecation warning was also emitted.

Limits of this evidence

No new GPU target execution, paid editor attempt, native alias-tokenization measurement or pristine-target calibration was run. CUDA was unavailable on this build host. These are generated development candidates, not 1,000 admitted or successful model-editing episodes. Historical replacements can already be known by the target and then fail the original headroom admission condition. Runtime calibration remains mandatory.

The release has a train split only. Shared component parameters and public deterministic source preclude a claim of a new secret or semantically independent test set. The original calibrated cohorts and published benchmark scores are unchanged.

Terminal grading inputs are regenerated by the trusted service. The public package omits compiled grading exports, as recorded by trusted_payloads=false in its manifest.

validation.json contains machine-readable row/checker counts. manifest.json contains file hashes. The publication script uploads the manifest allowlist, reads every uploaded file back at the returned immutable commit, and verifies its SHA256; the publication receipt records that commit after verification.

Dataset methods

The public environments/train split contains 1,000 rows, with 100 parameter settings per family. Parameter combinations use the original development templates. Catalogue indices address development-combinations-v1; the included package is 0.2.6+hf.1, based on source commit b51637c42b531a6418c52cc6f78d585f882dc01c.

Family	Variants	Parameters and pool changes
Alias acquisition	100	Cross existing 12 aliases with 10 geometric concepts. Keep one binding per episode.
Output-code remapping	100	Permute existing code words for binary sentiment, integer parity and ternary sentiment. Classification and class balance are unchanged.
Lexical inhibition	100	Choose two existing lexical cases from the 20 reviewed words. Each still checks both factual fields and all banned forms.
Terminology preference	100	Choose one to three existing word families and British/American direction independently.
Default response language	100	Combine existing response languages, two different capital subjects and one element subject independently.
Structured response default	100	Choose existing one/two-field extraction tasks and independent schema keys. Add person_identifier, person_label, municipal_name, city_identifier; use one text template throughout.
Answer-length control	100	Choose three of eight development topics and the original 20–35 or 50–75 word band. Add cats, bicycles and rain, each with three reviewed propositions and bounded elaborations.
Local factual update	100	One documented association per episode, with a dated replacement, stale answer, nearby control and provenance. Original 10 associations remain intact; the additional pool is in data/variant_facts.json.
Selective factual withholding	100	One country/capital association per episode. Add 90 GeoNames associations, preserving the original held-out country pool.
Resistance to false suggestions	100	Existing native generation of different arithmetic/reading problems and incorrect suggestions, preserving balanced true/false pressure and neutral controls.

Selection uses a stable SHA256 ordering of explicit parameter combinations. Changes to seeds, generic controls, item order or prompt wording do not establish parameter distinctness. Original seed-based development/test pools and templates remain intact; the additions apply only to the variant catalogue.

The 90 factual additions comprise 30 corporate leaders, 25 legal company renames, 24 university leaders, three completed headquarters moves and eight government-office replacements. Factual truth is fixed at 2026-03-01. Baseline admission requires the target to exhibit a recognised stable stale answer and scoring headroom. Historical replacements may already be known to a checkpoint and therefore fail admission.

The additional explanation topics use the existing fully consuming three-proposition grammar and word counter. Their reviewed source clauses are exact grammar terminals, with fewer accepted paraphrases than the original domains. Extra unsupported assertions, omitted propositions and incorrect word bands fail. These checks do not constitute general semantic entailment judgments.

There is one train split, with shared component parameters across rows. No new semantically independent or secret evaluation split is claimed. The original service continues to reject the unfrozen test split.

JSON strings preserve heterogeneous family structures across Arrow readers. The public schema includes task/checkpoint routing fields, the objective, parameters, practice items, source pins, calibration status and reproducibility hashes. variant_episode regenerates the full trusted episode, while task_from_row allowlists the native task-routing fields.

The shared limits are 64 editor turns, 128 tool calls and 262,144 forward tokens. Generation permits eight calls, 64 sequence evaluations and eight sequences per call; inspection permits four calls, 16 sequence evaluations and four sequences per call. Base/edited comparison spends two sequence evaluations. The native Limits definition and trusted service retain the remaining tensor, expression, token and scalar bounds.

Calibration failure is an admission/execution outcome, rather than an observed zero reward. A no-op has zero gain on an eligible episode. Training infrastructure must distinguish service failures from scored model behaviour. The released rows' calibration_status remains uncalibrated; no baseline-calibration results were added.

Sources and licensing

The IWIBench code and original dataset material are licensed under MIT. The root LICENSE records that grant, and THIRD_PARTY_NOTICES.md identifies the separately licensed GeoNames material and target model terms.

The 90 additional withholding records derive from the GeoNames country table, under CC BY 4.0. The source snapshot hash, access date and attribution are recorded in data/variant_associations.json. Formal currency names and ISO codes supplement the GeoNames names.

Explanation facts draw on the University of Michigan's domestic cat and mammal accounts, the Exploratorium's bicycle description, and NASA's precipitation FAQ. data/variant_pool_provenance.md documents those additions; data/variant_facts_sources.md provides dated primary provenance for the factual updates.

Author names, order and shared affiliation follow the current paper source: Chris von Csefalvay, Pranav Doma, Achyuthan Unni Krishnan and Tamás Földi; Robotics Intelligence CoE, HCLTech, Santa Clara, CA.