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Paper Citation Record · LEDGER

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.08089.

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

pith.paper-citation-record.v1
2408.08089 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:25.140187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.449155Z

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 0eeb301d-d916-4f1c-9243-5aaa65128bc0 · inbound

ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework cites this paper.

ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:25.140187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:54:25.140187Z digest=sha256:c74cf970c905212f60cecd0c598e9cfb66246df84ba371f4832b7dbd46753d77

Observation 41d96091-e9e0-482d-bc8f-5a6ca20a0b51 · inbound

Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning cites this paper.

Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:50.589105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T18:39:41.991608Z digest=sha256:d6777c87a2a7d64ccb05b5f0a60f77ea4cf339ccdb250b177596b91adbd42450

Observation b2a9e978-01d8-42f2-982a-f0913cc74565 · inbound

Civil Court Simulation with Large Language Models cites this paper.

Civil Court Simulation with Large Language Models AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:30.450791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:45:19.868954Z digest=sha256:4f6bbebf5bd7b58f3518cb7fab10da46fdbd157f242917c1e97c4d267d10bb53