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Paper Citation Record · LEDGER

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4

As of 19 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2505.00603.

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

pith.paper-citation-record.v1
2505.00603 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:19.149721Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T01:53:26.159310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:57:05.639462Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88e8ac8e-c73d-4059-af67-c744788ba8c2 · outbound

This paper cites Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:19.121787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:44:19.121787Z digest=sha256:0d7ec1167b1be881f613ce2e6454e06a08d52a48bfd85626205745568bb726c9

Observation 8305ecb1-e4af-4e9c-a71c-b866078a4d21 · outbound

This paper cites S., Matlen, B.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 S., Matlen, B

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:19.358606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T04:44:19.144369Z digest=sha256:3e77a7970f0aefa9601e0e907d5b382cc588f502f122836f3ed7414e11238845

Observation 605fe60e-a992-4e84-90e5-080f7af11213 · outbound

This paper cites B., & Gentner, D.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 B., & Gentner, D

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:19.390028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T04:44:19.132806Z digest=sha256:8b96ecae03cc9e6e95915cf016950eb98fd178f5a8d109388cec3a34dcc7debe

Observation f95825ff-2548-4aec-8bf9-dd1fa9c9b51b · outbound

This paper cites M., & Eisenhardt, K.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 M., & Eisenhardt, K

Reference 168

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:19.374182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T04:44:19.137692Z digest=sha256:6e63bb5df7d6aa4edecb2cb046cc88ec4e4fd19ed836c8c88f307a1cf7b07424

Observation 56d9224b-4308-4a83-8ed3-731633cc91ea · outbound

This paper cites D., Gentner, D., & Law, K.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 D., Gentner, D., & Law, K

Reference 1103

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:19.127668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:44:19.127668Z digest=sha256:44c4b70a5eecc1b0a0b0990ff2bcc34efe55630b7c44399fd6898ecf660936d7

Observation 01bdea22-8952-472f-8d3e-366582ad215c · outbound

This paper cites Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction.

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4 Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Reference 5144

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:19.149721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:44:19.149721Z digest=sha256:0b369b6b41d3571183eeb34ab2a6c71a00a1d310f7c65da840ec77469cbbacf0

Pith citing papers

Observation e969b60b-968f-4f81-a5b0-40ab5f07688d · inbound

Unlocking LLM Creativity in Science through Analogical Reasoning cites this paper.

Unlocking LLM Creativity in Science through Analogical Reasoning Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.643265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T01:53:26.159310Z digest=sha256:2bc28b7fc6c5d3b2f465931c974cf2c4ef3859caa1c444fa50ee3d9709c30ac0