Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:43.447869Z

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 e5e814a1-0bb0-41b4-b9cc-6aca01d1a088 · inbound

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark cites this paper.

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:29:25.110890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377b48e5-89ed-4b0d-a99b-c6ab94cf3c84 · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T20:54:02.167170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f10e283-7a25-418f-b2b8-b3659d8ce36a · inbound

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models cites this paper.

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T19:16:20.633112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48aa8de0-87c3-4d4b-ac2f-b0b1c95426fb · inbound

Transformer-Based Extraction of Statutory Definitions from the U.S. Code cites this paper.

Transformer-Based Extraction of Statutory Definitions from the U.S. Code Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:43.447869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 369e33af-e9eb-4bbb-a050-52d7d05e5ab4 · inbound

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking cites this paper.

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:20.957624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df06d5b-ebd5-4425-a0b5-ab9d673f63a2 · inbound

Identifying Legal Holdings with LLMs: A Systematic Study of Performance, Scale, and Memorization cites this paper.

Identifying Legal Holdings with LLMs: A Systematic Study of Performance, Scale, and Memorization Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:46.944751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb64f27-ea03-4570-afd7-15484ead5ddb · inbound

Learning Dynamics in Continual Pre-Training for Large Language Models cites this paper.

Learning Dynamics in Continual Pre-Training for Large Language Models Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:14:19.156722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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.

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.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.