Datasets:

justicedao
/

uscode-autoformal-span-cache

---
configs:
  - config_name: formal_logic_text
    data_files:
      - split: train
        path: autoformal/uscode/formula-text/v1/*/formulas.parquet
  - config_name: paired_spans
    default: true
    data_files:
      - split: train
        path: autoformal/uscode/paired-v1/paired_spans/**/*.parquet
  - config_name: deferred_goals
    data_files:
      - split: train
        path: autoformal/uscode/paired-v1/goals/**/*.parquet
  - config_name: evidence_artifacts
    data_files:
      - split: train
        path: autoformal/uscode/paired-v1/artifacts/**/*.parquet
  - config_name: retained_outputs_v1
    data_files:
      - split: train
        path: autoformal/uscode/outputs/**/*.parquet
  - config_name: census_v3
    data_files:
      - split: train
        path: autoformal/uscode/census-v3/**/*.parquet
  - config_name: census_v2
    data_files:
      - split: train
        path: autoformal/uscode/census/**/*.parquet
  - config_name: supervisor_goals_v2
    data_files:
      - split: train
        path: autoformal/uscode/goals/**/*.parquet
---
# Paired US Code conversions, diagnostic census and deferred repair goals

## Read the actual formula strings

Select **[formal_logic_text](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/viewer/formal_logic_text/train)** for source text
and emitted formula text as the first columns, or read the **[annotated examples](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/EXAMPLES.md)**.
This is a fixed audit of the four archived reports below, not a live count of the
whole corpus. [JSONL](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/formulas.jsonl),
[Parquet](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/formulas.parquet), and
[manifest](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/manifest.json) are pinned to an immutable commit.

For source `116–283, §1847(d)(1)(D)(i), redesignated pars.`, the stored strings include:

```text
Lifecycle(N1847, RedesignatedPars)
LifecycleState(sym_1847(), redesignated_pars())
O(redesignated_pars(n_1847))
```

These disagree: the last expression introduces an obligation into an amendment-history
fragment. Another source, `L.`, produces `O(l(actor))`; that is a conversion failure,
even though the producer's syntax flag is true. The operative 10 U.S.C. 4873 example
in the linked audit has an omitted condition and canonical `action="to"`.

The 56-span audit has **372 formula occurrences** from 45 available documents,
with repeats preserved. **41 of 45 TDFOL records use the text fallback**; eleven
documents are unavailable. These counts are not successful formalizations.
The formula rows retain exact strings, JSON pointers, source-report revisions,
fallback provenance and reported validation/omission/blocker evidence. Unknown
fallback status is null, not a claim that the output avoided fallback.

These are source compiler/bridge outputs. The legacy autoencoder has **no learned
formula decoder**; the guided compiler path emits ASTs. None of this sample has
Lake admission or qualification as a correct/gold semantic training target.
Failed outputs remain useful diagnostic evidence and potential repair-training
examples. The readable view supplements the full reports and linked paired data.

New observations use three linked tables. Historical files remain available;
no original observations or goal packets are removed by this migration.

| Configuration | Content | Join key |
| --- | --- | --- |
| `paired_spans` (default) | Source text; raw and projected autoencoder vectors; guided and direct compiler formulas; canonical typed compiler results; comparison; provenance; Lake status | `observation_id`, `source.span_id`, `goal_ids` |
| `deferred_goals` | Disagreement, compiler failure and capability records; source/observation bindings; immutable packet/task references | `goal_id`, `observation_ids` |
| `evidence_artifacts` | Losslessly compressed complete producer receipts, source bridge documents, compiler components, original packets and tasks | `artifact_sha256` |

`uscode-paired-span-bundle/v1` manifests under
`autoformal/uscode/paired-v1/manifests/` bind all three tables by exact SHA-256,
size, row count and immutable repository paths. Read a pinned commit when
comparing runs. The `train` split is a storage label, not a training-quality gate.

```python
from datasets import load_dataset
rows = load_dataset('justicedao/uscode-autoformal-span-cache', 'paired_spans',
                    split='train', streaming=True, revision='<immutable-commit>')
for row in rows:
    print(row['source']['span_id'], row['comparison']['status'],
          row['compiler']['canonical_formal_outputs'], row['goal_ids'])
```

## What is being compared

The local legacy autoencoder emits eight-dimensional diagnostic vectors and
compiler guidance. Its input representation is `mock:stable-sha256/8`, with
no verified semantic embedding provenance. It has no learned legal formula
decoder. The explicitly labeled **autoencoder-guided compiler** converts the
original text using that learned guidance. The direct deterministic modal
compiler processes the same source without that guidance. Both native formula
collections are stored, with their exact payloads and origin labels.

Their agreement is **diagnostic, not independent validation**. The current
comparison checks exact AST sequences including metadata; it does not prove
semantic equivalence. Counts, ordering, polarity, temporal fields, conditions,
exceptions and duplicate components are not silently discarded. Missing outputs,
partial collections and incompatible representations have explicit statuses.
`complete` means the emitted collection was captured; it does not establish
that the compiler represented every legal meaning in the source.

`compiler.canonical_formal_outputs` separately retains actual typed-deontic
compiler results. Its abstentions and completeness remain visible even when
the two modal paths agree. `syntax_status=not_checked` remains explicit for
native modal ASTs that have no independently invoked syntax validator.
Bridge names are requested adapters; they are not proof that all logic
families compiled or passed their validators.

No result in this diagnostic campaign grants admission. `admitted=false`,
`formalized=false`, and Lake `not_run` stay explicit. A separate source-bound
`lake build <Lib>` receipt is the only Lean admission. The Constitution is not
formalized and must never receive `roundtrip_ok` here.

## Complete evidence and later supervisor import

Every batch archives its full original producer receipt once. Rows point into
that content-addressed artifact for bridge documents and compiler components.
It retains source text, direct/guided native documents, guidance, raw evaluation,
failures, scores, source/checkpoint hashes and execution configuration. No target
is relabeled as a learned formula. Artifact rows encode exact bytes as base64
of zlib data and record the uncompressed SHA-256 and size.

The canonical package's `logic.autoformal.paired_span_census` provides
`load_paired_census_bundle()` and `decode_artifact()` with explicit expansion
bounds and hash verification. Nested `recursive-zlib-json/v1` bridge payloads
use `optimizers.logic_theorem_optimizer.legacy_span_logic_artifacts.unpack_document`.

Goals remain dataset records with `enqueued=false`. The existing
`scripts/ops/legal_ir/import_span_cache_exchange.py` validates either new paired
bundles or historical exchange bundles. Its default is a review plan. It can
later import sealed packet/task pairs to a machine-local supervisor database;
capability gaps without such packets stay preserved descriptive deferrals.
Publishing a goal never executes it or authorizes source edits.

## Bounded processing and resume

One resident CUDA model serves a hardware-bounded CPU compiler pool. At most
two batches overlap. Full target/report caches are disabled for this isolated
campaign; chunked compiler work checks the pinned source generation before and
after each chunk. One controller writes the local DuckDB progress queue.
Interrupted work is requeued; immutable Hub uploads use parent-commit checks.
Local batch evidence is removed only after all four remote files are verified
at the exact publication commit. Other machines can read immutable bundles and
later reimport goals; this inference campaign does not synchronize or train weights.

The five bridge adapters are `modal_frame_logic`, `deontic_norms`, `fol_tdfol`,
`cec_dcec`, and `external_prover_router`. Provers are off, disk cache is off,
sample memory is off, temperature is zero. Per-batch receipts record worker
counts, target counts and wall times. A target count of zero is not a faster
legal-IR evaluation.

## Historical schemas

The four existing configurations (`retained_outputs_v1`, `census_v3`,
`census_v2`, and `supervisor_goals_v2`) preserve previous observations and goals.
They are separate from the default paired schema. Older vector-only observations
cannot be retrospectively treated as guided conversions. Some older records
retain only target hashes; absent evidence is not reconstructed or invented.
The original dataset card is retained in the canonical source repository at
`docs/datasets/uscode_autoformal_span_cache_historical_card.md`.

## Published full reports and measured sample

Four lossless original receipts preserve 56 span observations, 45 captured
source logic documents, raw/projected vectors, three canonical compiler rules,
and all available failures, metrics and provenance. Eleven documents were
not captured by the producer limits (ten historical 4 MiB omissions and one
new 16 MiB omission); their identities and reasons remain explicit.

| Receipt | Spans | Captured documents | Full report | Manifest |
| --- | ---: | ---: | --- | --- |
| Historical | 32 | 22 | [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/4f7922a2188c111e30841a08769f0f989d0b7c61/autoformal/uscode/reports/v1/reports/43a822841e7192587a190bf56381bc55cdb1249a97ff3fa0a8a876d90bd75e90.json.gz) | [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/4f7922a2188c111e30841a08769f0f989d0b7c61/autoformal/uscode/reports/v1/manifests/0f2431a7c4746625fdbf693b312447f138d7ff4b820774ed4990dc334caa84ed.json) |
| Paired smoke 1 | 8 | 7 | [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/48cd0a5b666a8ef6cbaf259e9f1cc94792740e8b/autoformal/uscode/reports/v1/reports/49f60d4504a5b8df4d87b0c57eca52eecebdfbcbe5e52c1b74070de960d946fc.json.gz) | [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/48cd0a5b666a8ef6cbaf259e9f1cc94792740e8b/autoformal/uscode/reports/v1/manifests/376e7def7c18e0851908190de9dae6d5535eba0efd46e09d45b4fede75d36c18.json) |
| Paired smoke 2 | 8 | 8 | [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/45acc122f3f9c11da46c039e057a38ab5054a699/autoformal/uscode/reports/v1/reports/5fe4185488765685d8b4449f2bfbc1fab8d56f853ef333d0bab3ef06a98e812e.json.gz) | [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/45acc122f3f9c11da46c039e057a38ab5054a699/autoformal/uscode/reports/v1/manifests/93d2f5a4779f6888bdf8938607e5a8990dbf019f00cf003faa704fc2d56d40f9.json) |
| Paired smoke 3 | 8 | 8 | [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/f1ff72b4b171fca4ac63a44e4f263982e9129f03/autoformal/uscode/reports/v1/reports/fae864238b8c34e19aecaada1aa650fe7d5c7828c7eb5869c1ec40ae066366f9.json.gz) | [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/f1ff72b4b171fca4ac63a44e4f263982e9129f03/autoformal/uscode/reports/v1/manifests/141c0182a532d30d0beb1886dcaa7071fd65aa5441a8ee9da92e85264630b0ea.json) |

The new paired sample contains 24 spans, 15 guided modal ASTs and 15 direct
modal ASTs. Nine rows have diagnostic AST agreement; 15 have no formulas from
either path and do not count as agreement. Twenty-three source-bound compiler
repair goals were retained. A remote import smoke validated seven goals from
one bundle in plan-only mode; nothing was enqueued or executed.

Three batches of eight used one resident CUDA model, four CPU compiler workers
and one bridge worker. Bridge-on evaluation wall times were 19.28, 9.34 and
9.50 seconds, with eight targets in every batch. Worker wall times were 3.82,
1.99 and 2.11 seconds per span, including the two codec paths. Both large
process report caches stayed empty between batches; the disk cache and provers
were disabled. Other parser/runtime caches may warm. Sampled peak process-group
memory was 3.57 GiB. These are measured sample costs, not a matched speedup
comparison or evidence of legal qualification.

Read a downloaded gzip report with `json.loads(gzip.decompress(report_bytes))`.
Packed bridge documents additionally use the documented lossless document
unpacker. File and inner-document hashes verified for every available document;
the historical archive was also downloaded and reconstructed byte for byte.

	---
	configs:
	- config_name: formal_logic_text
	data_files:
	- split: train
	path: autoformal/uscode/formula-text/v1/*/formulas.parquet
	- config_name: paired_spans
	default: true
	data_files:
	- split: train
	path: autoformal/uscode/paired-v1/paired_spans/*/.parquet
	- config_name: deferred_goals
	data_files:
	- split: train
	path: autoformal/uscode/paired-v1/goals/*/.parquet
	- config_name: evidence_artifacts
	data_files:
	- split: train
	path: autoformal/uscode/paired-v1/artifacts/*/.parquet
	- config_name: retained_outputs_v1
	data_files:
	- split: train
	path: autoformal/uscode/outputs/*/.parquet
	- config_name: census_v3
	data_files:
	- split: train
	path: autoformal/uscode/census-v3/*/.parquet
	- config_name: census_v2
	data_files:
	- split: train
	path: autoformal/uscode/census/*/.parquet
	- config_name: supervisor_goals_v2
	data_files:
	- split: train
	path: autoformal/uscode/goals/*/.parquet
	---

	# Paired US Code conversions, diagnostic census and deferred repair goals

	## Read the actual formula strings

	Select [formal_logic_text](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/viewer/formal_logic_text/train) for source text
	and emitted formula text as the first columns, or read the [annotated examples](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/EXAMPLES.md).
	This is a fixed audit of the four archived reports below, not a live count of the
	whole corpus. [JSONL](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/formulas.jsonl),
	[Parquet](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/formulas.parquet), and
	[manifest](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/bf95253007ce123fb44a551806f4e29e9a30834b/autoformal/uscode/formula-text/v1/1c3c60623f70fc1466fbe65bd57d0b5fca95670ea0c67c3e33c7c93784d8005c/manifest.json) are pinned to an immutable commit.

	For source `116–283, §1847(d)(1)(D)(i), redesignated pars.`, the stored strings include:

	```text
	Lifecycle(N1847, RedesignatedPars)
	LifecycleState(sym_1847(), redesignated_pars())
	O(redesignated_pars(n_1847))
	```

	These disagree: the last expression introduces an obligation into an amendment-history
	fragment. Another source, `L.`, produces `O(l(actor))`; that is a conversion failure,
	even though the producer's syntax flag is true. The operative 10 U.S.C. 4873 example
	in the linked audit has an omitted condition and canonical `action="to"`.

	The 56-span audit has 372 formula occurrences from 45 available documents,
	with repeats preserved. 41 of 45 TDFOL records use the text fallback; eleven
	documents are unavailable. These counts are not successful formalizations.
	The formula rows retain exact strings, JSON pointers, source-report revisions,
	fallback provenance and reported validation/omission/blocker evidence. Unknown
	fallback status is null, not a claim that the output avoided fallback.

	These are source compiler/bridge outputs. The legacy autoencoder has **no learned
	formula decoder**; the guided compiler path emits ASTs. None of this sample has
	Lake admission or qualification as a correct/gold semantic training target.
	Failed outputs remain useful diagnostic evidence and potential repair-training
	examples. The readable view supplements the full reports and linked paired data.

	New observations use three linked tables. Historical files remain available;
	no original observations or goal packets are removed by this migration.

	\| Configuration \| Content \| Join key \|
	\| --- \| --- \| --- \|
	\| `paired_spans` (default) \| Source text; raw and projected autoencoder vectors; guided and direct compiler formulas; canonical typed compiler results; comparison; provenance; Lake status \| `observation_id`, `source.span_id`, `goal_ids` \|
	\| `deferred_goals` \| Disagreement, compiler failure and capability records; source/observation bindings; immutable packet/task references \| `goal_id`, `observation_ids` \|
	\| `evidence_artifacts` \| Losslessly compressed complete producer receipts, source bridge documents, compiler components, original packets and tasks \| `artifact_sha256` \|

	`uscode-paired-span-bundle/v1` manifests under
	`autoformal/uscode/paired-v1/manifests/` bind all three tables by exact SHA-256,
	size, row count and immutable repository paths. Read a pinned commit when
	comparing runs. The `train` split is a storage label, not a training-quality gate.

	```python
	from datasets import load_dataset
	rows = load_dataset('justicedao/uscode-autoformal-span-cache', 'paired_spans',
	split='train', streaming=True, revision='<immutable-commit>')
	for row in rows:
	print(row['source']['span_id'], row['comparison']['status'],
	row['compiler']['canonical_formal_outputs'], row['goal_ids'])
	```

	## What is being compared

	The local legacy autoencoder emits eight-dimensional diagnostic vectors and
	compiler guidance. Its input representation is `mock:stable-sha256/8`, with
	no verified semantic embedding provenance. It has no learned legal formula
	decoder. The explicitly labeled autoencoder-guided compiler converts the
	original text using that learned guidance. The direct deterministic modal
	compiler processes the same source without that guidance. Both native formula
	collections are stored, with their exact payloads and origin labels.

	Their agreement is diagnostic, not independent validation. The current
	comparison checks exact AST sequences including metadata; it does not prove
	semantic equivalence. Counts, ordering, polarity, temporal fields, conditions,
	exceptions and duplicate components are not silently discarded. Missing outputs,
	partial collections and incompatible representations have explicit statuses.
	`complete` means the emitted collection was captured; it does not establish
	that the compiler represented every legal meaning in the source.

	`compiler.canonical_formal_outputs` separately retains actual typed-deontic
	compiler results. Its abstentions and completeness remain visible even when
	the two modal paths agree. `syntax_status=not_checked` remains explicit for
	native modal ASTs that have no independently invoked syntax validator.
	Bridge names are requested adapters; they are not proof that all logic
	families compiled or passed their validators.

	No result in this diagnostic campaign grants admission. `admitted=false`,
	`formalized=false`, and Lake `not_run` stay explicit. A separate source-bound
	`lake build <Lib>` receipt is the only Lean admission. The Constitution is not
	formalized and must never receive `roundtrip_ok` here.

	## Complete evidence and later supervisor import

	Every batch archives its full original producer receipt once. Rows point into
	that content-addressed artifact for bridge documents and compiler components.
	It retains source text, direct/guided native documents, guidance, raw evaluation,
	failures, scores, source/checkpoint hashes and execution configuration. No target
	is relabeled as a learned formula. Artifact rows encode exact bytes as base64
	of zlib data and record the uncompressed SHA-256 and size.

	The canonical package's `logic.autoformal.paired_span_census` provides
	`load_paired_census_bundle()` and `decode_artifact()` with explicit expansion
	bounds and hash verification. Nested `recursive-zlib-json/v1` bridge payloads
	use `optimizers.logic_theorem_optimizer.legacy_span_logic_artifacts.unpack_document`.

	Goals remain dataset records with `enqueued=false`. The existing
	`scripts/ops/legal_ir/import_span_cache_exchange.py` validates either new paired
	bundles or historical exchange bundles. Its default is a review plan. It can
	later import sealed packet/task pairs to a machine-local supervisor database;
	capability gaps without such packets stay preserved descriptive deferrals.
	Publishing a goal never executes it or authorizes source edits.

	## Bounded processing and resume

	One resident CUDA model serves a hardware-bounded CPU compiler pool. At most
	two batches overlap. Full target/report caches are disabled for this isolated
	campaign; chunked compiler work checks the pinned source generation before and
	after each chunk. One controller writes the local DuckDB progress queue.
	Interrupted work is requeued; immutable Hub uploads use parent-commit checks.
	Local batch evidence is removed only after all four remote files are verified
	at the exact publication commit. Other machines can read immutable bundles and
	later reimport goals; this inference campaign does not synchronize or train weights.

	The five bridge adapters are `modal_frame_logic`, `deontic_norms`, `fol_tdfol`,
	`cec_dcec`, and `external_prover_router`. Provers are off, disk cache is off,
	sample memory is off, temperature is zero. Per-batch receipts record worker
	counts, target counts and wall times. A target count of zero is not a faster
	legal-IR evaluation.

	## Historical schemas

	The four existing configurations (`retained_outputs_v1`, `census_v3`,
	`census_v2`, and `supervisor_goals_v2`) preserve previous observations and goals.
	They are separate from the default paired schema. Older vector-only observations
	cannot be retrospectively treated as guided conversions. Some older records
	retain only target hashes; absent evidence is not reconstructed or invented.
	The original dataset card is retained in the canonical source repository at
	`docs/datasets/uscode_autoformal_span_cache_historical_card.md`.

	## Published full reports and measured sample

	Four lossless original receipts preserve 56 span observations, 45 captured
	source logic documents, raw/projected vectors, three canonical compiler rules,
	and all available failures, metrics and provenance. Eleven documents were
	not captured by the producer limits (ten historical 4 MiB omissions and one
	new 16 MiB omission); their identities and reasons remain explicit.

	\| Receipt \| Spans \| Captured documents \| Full report \| Manifest \|
	\| --- \| ---: \| ---: \| --- \| --- \|
	\| Historical \| 32 \| 22 \| [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/4f7922a2188c111e30841a08769f0f989d0b7c61/autoformal/uscode/reports/v1/reports/43a822841e7192587a190bf56381bc55cdb1249a97ff3fa0a8a876d90bd75e90.json.gz) \| [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/4f7922a2188c111e30841a08769f0f989d0b7c61/autoformal/uscode/reports/v1/manifests/0f2431a7c4746625fdbf693b312447f138d7ff4b820774ed4990dc334caa84ed.json) \|
	\| Paired smoke 1 \| 8 \| 7 \| [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/48cd0a5b666a8ef6cbaf259e9f1cc94792740e8b/autoformal/uscode/reports/v1/reports/49f60d4504a5b8df4d87b0c57eca52eecebdfbcbe5e52c1b74070de960d946fc.json.gz) \| [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/48cd0a5b666a8ef6cbaf259e9f1cc94792740e8b/autoformal/uscode/reports/v1/manifests/376e7def7c18e0851908190de9dae6d5535eba0efd46e09d45b4fede75d36c18.json) \|
	\| Paired smoke 2 \| 8 \| 8 \| [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/45acc122f3f9c11da46c039e057a38ab5054a699/autoformal/uscode/reports/v1/reports/5fe4185488765685d8b4449f2bfbc1fab8d56f853ef333d0bab3ef06a98e812e.json.gz) \| [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/45acc122f3f9c11da46c039e057a38ab5054a699/autoformal/uscode/reports/v1/manifests/93d2f5a4779f6888bdf8938607e5a8990dbf019f00cf003faa704fc2d56d40f9.json) \|
	\| Paired smoke 3 \| 8 \| 8 \| [gzip JSON](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/resolve/f1ff72b4b171fca4ac63a44e4f263982e9129f03/autoformal/uscode/reports/v1/reports/fae864238b8c34e19aecaada1aa650fe7d5c7828c7eb5869c1ec40ae066366f9.json.gz) \| [hashes and inventory](https://huggingface.co/datasets/justicedao/uscode-autoformal-span-cache/blob/f1ff72b4b171fca4ac63a44e4f263982e9129f03/autoformal/uscode/reports/v1/manifests/141c0182a532d30d0beb1886dcaa7071fd65aa5441a8ee9da92e85264630b0ea.json) \|

	The new paired sample contains 24 spans, 15 guided modal ASTs and 15 direct
	modal ASTs. Nine rows have diagnostic AST agreement; 15 have no formulas from
	either path and do not count as agreement. Twenty-three source-bound compiler
	repair goals were retained. A remote import smoke validated seven goals from
	one bundle in plan-only mode; nothing was enqueued or executed.

	Three batches of eight used one resident CUDA model, four CPU compiler workers
	and one bridge worker. Bridge-on evaluation wall times were 19.28, 9.34 and
	9.50 seconds, with eight targets in every batch. Worker wall times were 3.82,
	1.99 and 2.11 seconds per span, including the two codec paths. Both large
	process report caches stayed empty between batches; the disk cache and provers
	were disabled. Other parser/runtime caches may warm. Sampled peak process-group
	memory was 3.57 GiB. These are measured sample costs, not a matched speedup
	comparison or evidence of legal qualification.

	Read a downloaded gzip report with `json.loads(gzip.decompress(report_bytes))`.
	Packed bridge documents additionally use the documented lossless document
	unpacker. File and inner-document hashes verified for every available document;
	the historical archive was also downloaded and reconstructed byte for byte.