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Paper Citation Record · LEDGER

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2207.00220.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2207.00220 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:33.895892Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T13:26:59.050740Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0cd4bef7-3fc8-4da2-bf33-a1222c9c5675 · inbound

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains cites this paper.

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:33.895892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:33.895892Z digest=sha256:306f006057817af0df7a5572a8fa9a129b77a134c6f2129e52c7175cd0316f9b

Observation 6529e8df-4036-4420-b4b5-9d44a9550412 · inbound

Teach Old SAEs New Domain Tricks with Boosting cites this paper.

Teach Old SAEs New Domain Tricks with Boosting Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:28.933519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:28.933519Z digest=sha256:efd3565da8061eb2c7e3a387a09263fb5e6acc25a602c626084753fc4d6a5bbc

Observation 75d7f0b2-df8e-4bd7-8ceb-686190614a00 · inbound

AI for Statutory Simplification: A Comprehensive State Legal Corpus and Labor Benchmark cites this paper.

AI for Statutory Simplification: A Comprehensive State Legal Corpus and Labor Benchmark Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T15:51:46.282972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:51:46.282972Z digest=sha256:2edf84050d455ddbb9b1504112a3d9e44e39969c7c88ca9bdd61fb7ef89486fc

Observation 00c2fa40-9b4c-47f7-b001-636219faa3c3 · inbound

L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit cites this paper.

L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:40.321847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:40.321847Z digest=sha256:f9d2e7450209f68b5f2742b3d67c4e2f08cfd05f1d6faf7dcdb8261f0645e3c3

Observation 94375cff-32fa-40f5-81a5-cecf6725f360 · inbound

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T19:07:41.178920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:07:41.178920Z digest=sha256:b2da4c1056911c3a034c5949968422942af8d36548a477ef072403324545884f

Observation 31e826ad-950f-4835-8039-38a686945983 · inbound

IR3DE: A Linear Router for Large Language Models cites this paper.

IR3DE: A Linear Router for Large Language Models Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:59.052310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:19:30.946221Z digest=sha256:3bdb8b02431ff994a274fff34e276df39501284c7958eaf535c188da23f2471a

Observation 03aa154d-e424-4341-9e6a-548e184c5c9d · inbound

Legal Domain Adaptation of Modern BERT Models cites this paper.

Legal Domain Adaptation of Modern BERT Models Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:25:48.861721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T01:23:29.874289Z digest=sha256:d2c43dae84d1c3d99796eaf3cdc8fa318279ad3fbd89d1023ed46c667b5b7dca