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Paper Citation Record · LEDGER

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14938.

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

pith.paper-citation-record.v1
2305.14938 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:17:09.695892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:03:00.978273Z

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 d4e872c2-67d7-43a5-bcff-8a14bd2ec525 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:00.985387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:0a9a7bf4ee834cf9e155869c3e72af8a65651953c44f60702cabd2baa0c54c03

Observation 8f6996f3-722e-4e4f-b4d1-309b2ebab75a · inbound

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing cites this paper.

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T23:17:09.695892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:17:09.695892Z digest=sha256:1c1428bf30e01a3e48c867b75c9abaaf50df120b50e272754fb6bda3e6166a6b

Observation 58a94352-91be-4874-9f15-4ff3f2beb4ae · inbound

Extracting Participation in Collective Action from Social Media cites this paper.

Extracting Participation in Collective Action from Social Media Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:26.014767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:48:26.014767Z digest=sha256:8563bc62666098bf1db768be4dcfdc96c322fd7683f9917753f069e37041b5e1

Observation 8160cb77-9108-4c6e-9adc-4ebc4691dd65 · inbound

Generating Place-Based Compromises Between Two Points of View cites this paper.

Generating Place-Based Compromises Between Two Points of View Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:12.042415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T03:36:31.695964Z digest=sha256:b4c1488afda4add0298dfd68608b41fa8fd37142bb97127f07cddfdedac86fc3