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 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:43:19.334168Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c77353f1-115c-4f9d-8422-8352267a617a · inbound
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning cites this paper.
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:03:20.597044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9578b812-3808-46ea-82e2-455156ae3030 · inbound
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs cites this paper.
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:13:23.511117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 139bd959-449b-45b8-9680-ded324374c43 · inbound
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice cites this paper.
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:53:52.471004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a430616-9e27-4c79-a038-68fdfff5f118 · inbound
FinanceQA: A Benchmark for Evaluating Financial Analysis Capabilities of Large Language Models cites this paper.
FinanceQA: A Benchmark for Evaluating Financial Analysis Capabilities of Large Language Models LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:53:29.674023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a5231f-a917-4034-8073-9b3cf8d2e29f · inbound
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements cites this paper.
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:04:30.177659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 067804ab-144d-4d0d-9762-7e1ba74c4a27 · inbound
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning cites this paper.
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:26.528544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4457ddbc-cf62-45a7-bc22-44e191c38f93 · inbound
Towards Large Reasoning Models for Agriculture cites this paper.
Towards Large Reasoning Models for Agriculture LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:21:43.049112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26293698-8d4e-4e0a-aad9-ac0f2333dea5 · inbound
AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions cites this paper.
AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:23.083854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0539aad-19f8-411e-b7d9-c78ec157b0f0 · inbound
WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management cites this paper.
WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:02:10.295568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c23ae7a-5ba5-4c5b-8fa2-fd50e0ddb26d · inbound
Enterprise Large Language Model Evaluation Benchmark cites this paper.
Enterprise Large Language Model Evaluation Benchmark LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:56:32.246086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3eb6f863-281f-4072-b227-c83fca4980d6 · inbound
An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis cites this paper.
An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:35:40.873373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ce16b5a-141e-4626-be52-158ad33feedf · 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 LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:51:46.275259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0efc6177-c0c8-4f41-8fd8-c92df459e153 · 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 LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:20:40.339812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.
Observation 0e17b22c-bbd3-4541-94e6-7a937abef3c6 · inbound
Citation Grounding Measures the Oracle: Graph Coverage Determines Reported LLM Hallucination Rates in Law cites this paper.
Citation Grounding Measures the Oracle: Graph Coverage Determines Reported LLM Hallucination Rates in Law 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 0f1c2e0f-2e20-40e7-897e-9605cfbc2a4f · inbound
BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025) cites this paper.
BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025) LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:01:02.854545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7971769f-9742-4175-9f19-32ee4b0d2009 · inbound
AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System cites this paper.
AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:17:23.403369Z
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.
Observation 082e6d06-398f-4600-a127-18d04123a176 · inbound
Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics cites this paper.
Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:08:23.331668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9d80172-d4ba-400c-a498-5e85697ba782 · inbound
When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes cites this paper.
When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:48:38.348560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a249d4c8-fc89-4e53-94c6-30048010c096 · inbound
When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes cites this paper.
When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:43:19.334168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5c890be-981e-49d4-b186-c5aec3ffd088 · inbound
V-FiLLM: Verified Financial LLM Reasoning Benchmark cites this paper.
V-FiLLM: Verified Financial LLM Reasoning Benchmark LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:27:14.710985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.