Paper Citation Record · LEDGER

Using LLMs to Advance the Cognitive Science of Collectives

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2506.00052.

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

pith.paper-citation-record.v1
2506.00052 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:40.641054Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:20:48.423151Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:20:48.646771Z

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89d11a7c-0efd-4bb2-af92-7677c0ee391e · outbound

This paper cites Centaur: a foundation model of human cognition.

Using LLMs to Advance the Cognitive Science of Collectives Centaur: a foundation model of human cognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:39.132312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388cefac-9058-4c9f-beb9-81e2862aa822 · outbound

This paper cites Machine culture.

Using LLMs to Advance the Cognitive Science of Collectives Machine culture

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:42.000907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef0092b4-526a-43f7-84ce-e6dd3ac62556 · outbound

This paper cites Building machines that learn and think with people.

Using LLMs to Advance the Cognitive Science of Collectives Building machines that learn and think with people

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.824622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1110a8f-c5b7-46f1-89df-09f08ade3f41 · outbound

This paper cites Large language models and games: A survey and roadmap.

Using LLMs to Advance the Cognitive Science of Collectives Large language models and games: A survey and roadmap

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:39.440793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8769ffb4-68ab-42a4-8dac-d87f73e0e174 · outbound

This paper cites Hawkins, Michael Franke, Michael C.

Using LLMs to Advance the Cognitive Science of Collectives Hawkins, Michael Franke, Michael C

Reference 5

Resolution: verified exact; doi, observed 2026-08-07T13:00:40.756500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2cd6cbd-3196-4e85-8813-795c07a75794 · outbound

This paper cites Large language models predict human sensory judgments across six modalities.

Using LLMs to Advance the Cognitive Science of Collectives Large language models predict human sensory judgments across six modalities

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.605142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f54dd809-6942-49f3-976d-c1885aa907d2 · outbound

This paper cites Benchmarking Distributional Alignment of Large Language Models.

Using LLMs to Advance the Cognitive Science of Collectives Benchmarking Distributional Alignment of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:39.805216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381e79c4-c1c3-4f46-b420-3e6872c81376 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Using LLMs to Advance the Cognitive Science of Collectives LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:39.912701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655ebb58-a938-4a5f-b8bd-6699b937b40f · outbound

This paper cites Robertson, and Jay J.

Using LLMs to Advance the Cognitive Science of Collectives Robertson, and Jay J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.367970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9709f15-05ca-4269-825e-51374776e001 · outbound

This paper cites Unintended impacts of LLM alignment on global representation.

Using LLMs to Advance the Cognitive Science of Collectives Unintended impacts of LLM alignment on global representation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.261523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d97fa94-d560-4551-96e7-c2193164a675 · outbound

This paper cites The Dynamics of Collective Creativity in Human-AI Hybrid Societies.

Using LLMs to Advance the Cognitive Science of Collectives The Dynamics of Collective Creativity in Human-AI Hybrid Societies

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:40.285036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe9d5af-3b7c-4d9e-a8f4-176fa1507b07 · outbound

This paper cites Getting aligned on representational alignment.

Using LLMs to Advance the Cognitive Science of Collectives Getting aligned on representational alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:40.425211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fa8823-a982-492e-8e99-4613f01776ce · outbound

This paper cites Bakker, Daniel Jarrett, Hannah Sheahan, Martin J.

Using LLMs to Advance the Cognitive Science of Collectives Bakker, Daniel Jarrett, Hannah Sheahan, Martin J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.069071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7e2b7e7-8be0-4c42-9f62-a93e0a85b56c · outbound

This paper cites Complex cognitive algorithms preserved by selective social learning in experimental populations.

Using LLMs to Advance the Cognitive Science of Collectives Complex cognitive algorithms preserved by selective social learning in experimental populations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.955181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4af18859-750a-4ac6-80b0-83d173864a08 · outbound

This paper cites From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

Using LLMs to Advance the Cognitive Science of Collectives From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:40.580235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bef12fa-7b3c-42ec-b865-707b211ee34a · outbound

This paper cites On Benchmarking Human-Like Intelligence in Machines.

Using LLMs to Advance the Cognitive Science of Collectives On Benchmarking Human-Like Intelligence in Machines

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:40.641054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c65d4d97-a893-4982-99d1-5da6a78f523e · inbound

Generation and Evaluation in the Human Invention Process through the Lens of Game Design cites this paper.

Generation and Evaluation in the Human Invention Process through the Lens of Game Design Using LLMs to Advance the Cognitive Science of Collectives

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:20:48.650738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ac6f8bf-e892-410b-b31a-3730b6d953a7 · inbound

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives cites this paper.

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives Using LLMs to Advance the Cognitive Science of Collectives

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-01T15:27:10.179256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.