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Paper Citation Record · LEDGER

Large Language Models Assume People are More Rational than We Really are

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.17055.

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

pith.paper-citation-record.v1
2406.17055 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:50.832161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.656424Z

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 0ef4b58b-081c-41b0-97f1-ff3cfe69db9e · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Large Language Models Assume People are More Rational than We Really are

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.593446Z

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.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:236493111279108534b5d726d2e15719b3ffb14d1c8e9b46a3bdced204cc31b9

Observation db65ea6b-cdbf-47ef-8ee3-989beefbad56 · inbound

Revisiting Rogers' Paradox in the Context of Human-AI Interaction cites this paper.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction Large Language Models Assume People are More Rational than We Really are

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T19:53:42.702543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:53:42.702543Z digest=sha256:8760d12c4e14a706485860330d472ddbf4aaa0f2c2b3346d40daf6395a69491f

Observation 9edc394e-642b-4b8e-b2a8-6c9a36d55d69 · inbound

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints cites this paper.

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints Large Language Models Assume People are More Rational than We Really are

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:41:50.832161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:41:50.832161Z digest=sha256:224e29bb95b1c1a856183776256305d24e178c42fa9f2322e24a25ae7d55c9a9

Observation e0138723-636a-467a-8fbd-03a409ea5537 · inbound

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations cites this paper.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Large Language Models Assume People are More Rational than We Really are

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:57:38.101863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:57:38.101863Z digest=sha256:876297b2da023b5cd77e5aa0067b1cbcf0bf16dc1394679ff61777ce11ec2fec

Observation e3fe3d14-33ed-45ca-8b75-7ec14e8b2bc8 · inbound

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Large Language Models Assume People are More Rational than We Really are

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:35.241752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:35.241752Z digest=sha256:8f8143d678a4956b751add8bcd3e60e73536ad91ae34827329484f944960ff05

Observation 9b0aa7b9-30e4-4ed9-8a16-c2228fcfa0d8 · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

Measuring and mitigating overreliance to build human-compatible AI Large Language Models Assume People are More Rational than We Really are

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:40:43.383922Z

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.

source=pdf_text observed=2026-05-21T22:37:37.267715Z digest=sha256:140a9194713be4419ff203794659452a5e0d44ebf7a6f5da59636ea21351b27e

Observation 179048ca-6049-4a0c-914f-b2cefc4ab627 · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models Large Language Models Assume People are More Rational than We Really are

Reference 226

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:31:02.403997Z

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.

source=arxiv_source observed=2026-05-10T01:36:50.329664Z digest=sha256:3363b34cfd292a2f5b88a437318f6e7268cc1e018533a26a406a83ad8470c339

Observation e7ac6731-289e-4f47-8a13-83c7570b3680 · inbound

Medical Model Synthesis Architectures: A Case Study cites this paper.

Medical Model Synthesis Architectures: A Case Study Large Language Models Assume People are More Rational than We Really are

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:21:25.045784Z

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.

source=arxiv_source observed=2026-05-12T03:27:59.466519Z digest=sha256:3e3a34e5badc1860ccea467e71c894e5d117145ea4c7fe804386a5514ea31d24

Observation 20408fd1-7fed-48a0-8af9-9622b9074e1b · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games Large Language Models Assume People are More Rational than We Really are

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:58:57.657969Z

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.

source=pdf_text observed=2026-06-27T01:03:49.101568Z digest=sha256:912fe2d61090195d577afac88a8a89808a3a3a637b281c02322d4c2cf3738812

Observation da33028a-5ee4-4c01-b650-dc0c62c051a4 · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Large Language Models Assume People are More Rational than We Really are

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:31.149239Z

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.

source=pdf_text observed=2026-07-03T14:22:29.928733Z digest=sha256:db86cac9b5627995f438394f5cc1fb1839d0d04a88264f3b5b957da1f0fad049

Observation 5cecbb72-d34f-4741-8b18-a6d353f9e647 · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Large Language Models Assume People are More Rational than We Really are

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T09:03:29.245235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:03:29.245235Z digest=sha256:1b1648beadd60366aa5703954cb3c5e3af82cf1dda98d728a4774f1778d326c8