Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.02507.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:28:11.667139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:51:09.230185Z
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 8ec8f5ff-5c58-4b2b-bad5-234f8c96c2a9 · inbound
Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV cites this paper.
Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:28:11.667139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea363d11-bd5e-432e-b086-b5b34f3912f1 · inbound
Memory in the Age of AI Agents cites this paper.
Memory in the Age of AI Agents Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Reference 179
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:18:20.571765Z
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.
Observation 205f962a-e3e0-43cd-a4ee-52dd66b5a171 · inbound
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Reference 142
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:51:09.234878Z
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.