Paper Citation Record · LEDGER

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2110.00976.

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

pith.paper-citation-record.v1
2110.00976 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:46.930667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:53:16.523785Z

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 a1a610f5-5e96-48a6-b61c-91f8262c0dba · inbound

Legal Evalutions and Challenges of Large Language Models cites this paper.

Legal Evalutions and Challenges of Large Language Models LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:58:04.124866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046372ad-5bd9-41f3-aa12-fe44a116bba6 · inbound

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs cites this paper.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.466047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7d747f-0a31-4707-9df2-1439966f55a5 · 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 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:46.930667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7928929-4296-4728-9bb8-d57fbb986c17 · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:30.084866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74145d1-fafe-43e2-b6cd-39ea7436fad3 · inbound

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models cites this paper.

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:40.901661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99d202f-5693-46f4-817e-d56c21fb74fa · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:57.844163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448407e8-ed9a-4c7f-b415-6e17ea3d7e52 · inbound

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance cites this paper.

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:08.661052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52136299-5b50-4205-9848-4d8349bbc297 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:06.460466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76566c6-4f33-4120-ab5a-aceb1bcac73d · inbound

The Judge Variable: Challenging Judge-Agnostic Legal Judgment Prediction cites this paper.

The Judge Variable: Challenging Judge-Agnostic Legal Judgment Prediction LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:12.421243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b8f2a1-bee9-4250-8639-1c0ea812ba47 · inbound

Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval cites this paper.

Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:41.573359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d70973-e28e-46bd-9d55-1b409c5dd127 · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:43.528883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb47c0c2-e73f-46cb-92f0-16f9de8a8040 · inbound

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE cites this paper.

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:53:11.876859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d219856d-3ea9-4eba-8182-8e1cd9f7d0f2 · inbound

TRUST: A Framework for Decentralized AI Service v.0.1 cites this paper.

TRUST: A Framework for Decentralized AI Service v.0.1 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:28.694092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9489b41d-798d-4642-bee9-cdead369a6dd · inbound

Multi-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal Traditions cites this paper.

Multi-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal Traditions LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:53:16.525122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b544d971-248e-49a1-a80c-5fdb9d1c891c · inbound

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary cites this paper.

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:27:25.146267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.