Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2308.11462.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T04:04:13.822723Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 19fa69a8-2765-403f-8f13-90135d012582 · inbound
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T03:05:48.097934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 11d79624-30eb-429a-9918-0e82de232510 · inbound
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners cites this paper.
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T11:01:17.029897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 2fb5a109-91ee-4c48-9816-733b21e74e4e · inbound
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:45:25.582582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 0770fa1b-4680-4353-8f8d-7a5cd87c9fbc · inbound
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:36:03.821732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation e0c78989-4ba3-4b36-a240-7692ee3934dc · inbound
LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification cites this paper.
LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:56:26.755806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation e4704eac-14b1-4ed5-9f66-7916bd338bd6 · inbound
KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks cites this paper.
KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:16:20.746297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 398924d6-1683-4640-a4fd-9614f707dddd · inbound
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication cites this paper.
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:11:57.255230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation a7818266-5c70-4bb6-b044-e164685aefa9 · inbound
Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization cites this paper.
Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:41:10.502069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation cf967cc5-c82b-4272-8813-f631e1ac7063 · inbound
Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems cites this paper.
Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:16:16.378379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 1fd275bc-c7b0-44e8-8671-6e4c428bb6cd · inbound
Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task cites this paper.
Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:16:36.010805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation ebcbdeb7-2d0d-4972-9bbf-2ed349ec7aad · inbound
Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains cites this paper.
Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T23:11:19.337354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 11fe66d3-1f22-46f5-8cfc-2863a2f81a9c · inbound
Query-efficient model evaluation using cached responses cites this paper.
Query-efficient model evaluation using cached responses LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T23:35:07.682388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 2d676823-a8f4-4cee-8652-9637cce9eb42 · inbound
Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks cites this paper.
Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:26:24.208127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation f34661f7-0ff0-484e-953f-b59557e57208 · inbound
Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval cites this paper.
Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:24:39.984446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 0a20cf91-1c6c-49fb-80ab-640f03d4acf5 · inbound
TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification cites this paper.
TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:14:00.218650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 762cbd88-088c-4f89-a677-07649586ee0f · inbound
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning cites this paper.
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T12:23:24.527606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 89084092-98aa-40f3-ae4c-8eaade03f412 · 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 LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T08:33:15.935573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 0e17b22c-bbd3-4541-94e6-7a937abef3c6 · inbound
Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs cites this paper.
Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T20:32:37.522670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation c02298e6-473d-41c6-a231-e1f3028cde94 · inbound
GIScholarBench: Benchmarking LLM Overconfidence in GIS Research cites this paper.
GIScholarBench: Benchmarking LLM Overconfidence in GIS Research LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:07:25.908133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 11bcab69-c3de-42e6-b065-a10de6e042fb · inbound
Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents cites this paper.
Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T05:27:39.663246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 39b03420-626a-435f-bb7b-9451693948dd · inbound
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI cites this paper.
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:28:58.612291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation c454b269-996a-4f29-b290-fd070686884d · inbound
The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act cites this paper.
The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T23:29:02.495106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 5d0442ac-aa2b-455d-935b-99fef5a8c367 · inbound
Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.
Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:49:37.576858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 9675f5fb-93ac-48c5-bd49-3d74a374a686 · inbound
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions cites this paper.
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 95
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T11:59:51.263031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 77a56eeb-1020-40e3-b02d-1e0bc4c61849 · inbound
Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to Justice cites this paper.
Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to Justice LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T23:19:03.985515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 58c35bc4-9e48-487d-bae7-3e457539c130 · inbound
How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks? cites this paper.
How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks? LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T15:29:56.715847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation b2379fd8-9d26-4202-822d-e816f773e61c · inbound
Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification cites this paper.
Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:38:03.549728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b3da14e-438a-45a5-b651-7b16132da10e · inbound
Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records cites this paper.
Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:04:13.822723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10731c04-647d-4086-9b51-aa77a094d1c9 · inbound
Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation cites this paper.
Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 2010
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T23:41:20.109043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1557386e-86b7-4762-b185-713397cfc408 · inbound
Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation cites this paper.
Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:32:21.858955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.