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Paper Citation Record · LEDGER

AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.16521.

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

pith.paper-citation-record.v1
2407.16521 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:47.894744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:48:01.639435Z

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 91b3f184-b2ed-4920-a8b2-de950de0bd23 · inbound

Kaleidoscopic Teaming in Multi Agent Simulations cites this paper.

Kaleidoscopic Teaming in Multi Agent Simulations AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:47.894744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:47.894744Z digest=sha256:f5456cbf95a73ed6c279f17ad5e7510cea240d7ff164cb175c42a3572c31e893

Observation db8561e7-26ea-46fe-a284-028d4b1bcdb6 · inbound

SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems cites this paper.

SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:01.641582Z

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=arxiv_source observed=2026-05-10T08:45:54.303143Z digest=sha256:c7ffeb3685f67aef13b3910a216dd6b6027bbb8714bfcebdfacf424ff0d8561b

Observation ab5b4b49-7a2f-45ee-9400-194880470517 · inbound

MafiaScope: Non-Invasive, Time-Resolved Belief Probing for LLM Agents in Social Deduction Games cites this paper.

MafiaScope: Non-Invasive, Time-Resolved Belief Probing for LLM Agents in Social Deduction Games AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T10:15:59.479435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:15:59.479435Z digest=sha256:3a87ab2b99a0f6fb023047713dbad2ede20cd6ff5325a771687dce70c23de58f

Observation 99b15797-dc44-4aac-9621-5a0ccdad42b7 · inbound

MafiaScope: Non-Invasive, Time-Resolved Belief Probing for LLM Agents in Social Deduction Games cites this paper.

MafiaScope: Non-Invasive, Time-Resolved Belief Probing for LLM Agents in Social Deduction Games AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T07:15:00.145063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:15:00.145063Z digest=sha256:059e6034fa7521d02b9912abf18e179862813c585e68052290e1ea916bce3c3f

Observation 9246ee90-fbc7-4a75-88e2-d7e6ff72f502 · inbound

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems cites this paper.

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T00:51:15.509140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:51:15.509140Z digest=sha256:b73c1059c128a109861e10928f36031b46b7ed50ea39028b9f37e19d60c31bde