Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.19346.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:49.637334Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T15:54:54.359453Z
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 b6164e9f-4df9-4732-bce0-787572960be4 · inbound
PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation cites this paper.
PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:49:33.594276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a67ca89-8546-4705-b36f-9ebbd7372ede · inbound
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 205
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:18:32.662335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b857174-2660-49e7-bdbd-e41b71c2c18f · inbound
Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.
Multi-Agent Collaboration Mechanisms: A Survey of LLMs AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:54:54.362490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a3705702-87ce-48d6-910e-910fa304dada · inbound
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction cites this paper.
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:43:06.636356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74897ccd-d215-45be-a25c-6e765aa93845 · inbound
Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant cites this paper.
Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:21:49.637334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 992204d8-7cb0-48ac-b106-0d925e6898f5 · inbound
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models cites this paper.
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:38:51.863070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.