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Paper Citation Record · LEDGER

Using LLMs to Advance the Cognitive Science of Collectives

As of 9 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 2026-08-09T06:31:02.800959+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.

source=arxiv_source observed=2026-08-07T13:00:39.132312Z digest=sha256:060b650703889e8eaf3eedae7ef34788cb3263cb0461f3c723929bc86d5d32c8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:39.220181Z digest=sha256:d1f13bf6223f13b9320cf038f3223186dc26bc31bc8c7ca2dbe10194a5b8a1d7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:39.316428Z digest=sha256:c43c0068e1a0385f5c0a4b8e9488614411d82a45492b325b48977ce1a8da0cb1

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.

source=arxiv_source observed=2026-08-07T13:00:39.440793Z digest=sha256:3c9b3bcee01c06e25032759d3e7d1783a48c9568958a4485907fc39f172ef7e1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:39.535734Z digest=sha256:2e079df6157615412408dbae7a49d4d19a6804e34bb2064d855acb3654a9b75e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:39.630186Z digest=sha256:c7f2285d4918cf236920ca141dea2aeee27b5e5644cd535497119680623db8c7

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.

source=arxiv_source observed=2026-08-07T13:00:39.805216Z digest=sha256:2429d509db547b82de93bd1b3e3f5cabcb4d4d9710285608f6cc0fd3309f8525

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.

source=arxiv_source observed=2026-08-07T13:00:39.912701Z digest=sha256:b3e9ad2edf973168861682402fe9f52b9bf4a195a7595f5e90e988051af833bc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:40.047039Z digest=sha256:535be83963e1cbba97758ce1194f529a6b9ed2a38d8da04b8855ec913daf2038

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:40.139047Z digest=sha256:71b0d47e4c308c4b617c1522c1b4b30b9c4b0a33c8dead747b14c932e90a89ec

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.

source=arxiv_source observed=2026-08-07T13:00:40.285036Z digest=sha256:f31b617554cee9d452ebf86b9a5b477f6730302e9a50527fdf4701423532d7a7

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.

source=arxiv_source observed=2026-08-07T13:00:40.425211Z digest=sha256:d5e1b31fd6fe5aa046f73ef87d4867c1e8a3655609f7ae26bf95f5611e5f4c16

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:40.479467Z digest=sha256:dc1993a926c020acc56164585c7b58ea173e181bd38a297459880d5521a5eda1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T13:00:40.534882Z digest=sha256:cc51312bb8fb7ae45f7d041e850ffa13984c01926fabee75726f05073fbde335

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.

source=arxiv_source observed=2026-08-07T13:00:40.580235Z digest=sha256:bf38c4771988a650150bc58906f5ead50434122dfa06e72af326af03c522811d

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.

source=arxiv_source observed=2026-08-07T13:00:40.641054Z digest=sha256:afb4a7d77dd4d4ca1ced48ebf79af43fe79e6156fd5f2098287a56c45df68995

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T10:20:48.423151Z digest=sha256:c36cc4f5fbacad8d4b9ea6819ad27df378092a73b6d790318f846b76be023a32

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.

source=arxiv_source observed=2026-08-01T15:27:10.179256Z digest=sha256:66d68ae6ba74dc8c13f32d526a6ff51f75069b25afd8557221e0038c4ab03cf4