Paper Citation Record · LEDGER

Evaluating the Robustness of Analogical Reasoning in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 12 inbound Pith citation observations for arXiv:2411.14215.

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

pith.paper-citation-record.v1
2411.14215 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:29:23.569643Z

measured 51 of 51 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:59.546494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.093447Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy18
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6797330-2437-46b7-9056-dfa6ea9855cf · outbound

This paper cites Shortcutted commonsense: Data spuriousness in deep learning of commonsense reasoning.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Shortcutted commonsense: Data spuriousness in deep learning of commonsense reasoning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.688800Z

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 0a6294b0-65b0-4038-aa88-006428ab3531 · outbound

This paper cites Understanding the source of semantic regularities in word embeddings.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Understanding the source of semantic regularities in word embeddings

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.673195Z

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 d9cf3482-c79e-462f-893d-66a766ee6417 · outbound

This paper cites Leaping across the mental canyon: Higher- order long-distance analogical retrieval.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Leaping across the mental canyon: Higher- order long-distance analogical retrieval

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.645656Z

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 7ee07644-1b0d-4b5e-bb5b-31a30da256f5 · outbound

This paper cites Hwang, Soumya Sanyal, Sean Welleck, Xiang.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Hwang, Soumya Sanyal, Sean Welleck, Xiang

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.623390Z

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 8bdba1c0-b678-4fdb-b90a-92837e2bebb0 · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:29:24.597307Z

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 1b79503a-869b-4f86-8982-5a55da24204b · outbound

This paper cites Geake and Peter C.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Geake and Peter C

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.579803Z

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 413fbef8-e7ff-40f0-9972-591f6b891f69 · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.321430Z

Source-reported events for the cited work

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Observation 0e9e5f03-d05d-4dd7-996e-ef2d58b25163 · outbound

This paper cites Response: Emergent analogical reasoning in large language models.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Response: Emergent analogical reasoning in large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.327020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb15d4e-8f80-41cb-8e92-618b11c1b600 · outbound

This paper cites Hofstadter.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Hofstadter

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.562169Z

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 1ee12367-7925-4bd9-a07b-e1caf3fb42d4 · outbound

This paper cites Hofstadter and Melanie Mitchell.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Hofstadter and Melanie Mitchell

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.539408Z

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 cf364608-c4ac-4868-a8dc-109150435dba · outbound

This paper cites Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.349868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf5af2c-5eb7-4b98-a555-24819af0c8f5 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Towards Reasoning in Large Language Models: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.360740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e7432b-2ccc-4fc9-a76a-d020d274200a · outbound

This paper cites Toward best research practices in AI Psychology.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Toward best research practices in AI Psychology

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.367341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5251ec88-cee2-4e28-9107-1dc43845f42a · outbound

This paper cites A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.

Evaluating the Robustness of Analogical Reasoning in Large Language Models A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.374654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7fac589-e40a-4f1b-ad57-e081f0df073a · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2d7aab-9bd3-4556-80a5-43e8d69b5792 · outbound

This paper cites Can LLMs really reason and plan? Com- munications of the ACM , 2023.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Can LLMs really reason and plan? Com- munications of the ACM , 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.515714Z

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 0f88c4df-1292-4684-ace9-85ebef76491b · outbound

This paper cites Lampinen, Ishita Dasgupta, Stephanie C.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Lampinen, Ishita Dasgupta, Stephanie C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.499995Z

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 921a8974-88ac-4261-9a11-5ad6e242ecef · outbound

This paper cites Event-related potential responses to letter-string comparison analogies.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Event-related potential responses to letter-string comparison analogies

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.483307Z

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 26aa35a6-543b-4f0c-ad09-7f153e4316b3 · outbound

This paper cites Recreating Raven’s: Software for systematically generating large numbers of Raven-like matrix problems with normed properties.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Recreating Raven’s: Software for systematically generating large numbers of Raven-like matrix problems with normed properties

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.460576Z

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 b7ca1d4a-21fc-4766-8c0b-feb876c65462 · outbound

This paper cites Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew D.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew D

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.425204Z

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 be6f9df6-38f0-4270-be46-67bdd28de7cf · outbound

This paper cites When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1.

Evaluating the Robustness of Analogical Reasoning in Large Language Models When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 21

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Source-reported events for the cited work

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Observation 8b410f02-3a27-468c-8a20-692042a8134a · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Evaluating the Robustness of Analogical Reasoning in Large Language Models GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.430844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70eff4da-04d3-41a2-8034-0e4711e4aa8f · outbound

This paper cites Analogy-Making As Perception: A Computer Model, chapter 5.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Analogy-Making As Perception: A Computer Model, chapter 5

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.396773Z

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 fa2579d0-b19d-47bf-9a75-40679fd91524 · outbound

This paper cites Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.456184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d295830-9e8a-46d2-be46-80c5dbac89ad · outbound

This paper cites Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.465067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad1a983-37b6-43b8-9ef3-ddb614f9340b · outbound

This paper cites Learning to reason with LLMs, 2024.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Learning to reason with LLMs, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.379644Z

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 4dd219b2-251e-4ba7-9035-ae809d4c81c0 · outbound

This paper cites Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.481760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639b0fad-dd04-49be-a507-2130a56e0866 · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:29:24.357036Z

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 c716b057-9349-4d2c-ab59-86076098dc17 · outbound

This paper cites Logan IV, Matt Gardner, and Sameer Singh.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Logan IV, Matt Gardner, and Sameer Singh

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.328237Z

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 bbc9c4a7-997e-4aa2-b948-23f2ec1f15fa · outbound

This paper cites ARN: Analogical reasoning on narratives.

Evaluating the Robustness of Analogical Reasoning in Large Language Models ARN: Analogical reasoning on narratives

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.299505Z

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 03d3a4d9-d130-4c9b-8da9-0eac78933716 · outbound

This paper cites Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.513851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faf66272-57bd-4858-aeea-fad22e5b86c6 · outbound

This paper cites Stevenson, Alexandra Pafford, Han L.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Stevenson, Alexandra Pafford, Han L

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.520685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fea2a709-2ef7-4aeb-acae-8bc9b0f13de9 · outbound

This paper cites MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs.

Evaluating the Robustness of Analogical Reasoning in Large Language Models MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:23.528914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4e7ee1-04ae-4dc5-9c3a-6804da0f50e6 · outbound

This paper cites Dual process theories: A metacognitive perspective.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Dual process theories: A metacognitive perspective

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.237128Z

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 48a18c36-5358-45b6-85ba-b617c86cac5e · outbound

This paper cites Holyoak, and Hongjing Lu.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Holyoak, and Hongjing Lu

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:24.220397Z

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 a2154751-175d-4849-9781-679d4cee47d6 · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:29:24.182278Z

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 4be489d5-9272-4f91-a529-f1d35558c386 · outbound

This paper cites an unresolved cited work.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Unresolved cited work

Reference 37

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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 e4ff6ac4-3f87-425d-8de3-e6a9b6dc99b9 · outbound

This paper cites Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 38

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Source-reported events for the cited work

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Observation 24787b38-ed46-4eff-b163-ec0f3a76cf44 · outbound

This paper cites Do Large Language Models Understand Logic or Just Mimick Context?.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Do Large Language Models Understand Logic or Just Mimick Context?

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f2239600-4e39-49c4-9d90-90fff3347a88 · inbound

The broader spectrum of in-context learning cites this paper.

The broader spectrum of in-context learning Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 45

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Source-reported events for the cited work

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Observation e7d49004-4d1f-482e-b41d-28a37cf6b613 · inbound

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning cites this paper.

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 13

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Observation 86f4fb34-241e-452a-8ee5-9011c9417d3c · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 86

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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 17d83803-132b-467d-96ad-d10b6fab8ca8 · inbound

Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design cites this paper.

Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 24

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Source-reported events for the cited work

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Observation 9a86c7f8-cdb4-41b4-8f8b-aa64fa20bf1f · inbound

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation cites this paper.

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 24

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Observation c1938ca5-e950-4a21-b155-715664967264 · inbound

Mechanistic Interpretability Needs Philosophy cites this paper.

Mechanistic Interpretability Needs Philosophy Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 15

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Source-reported events for the cited work

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Observation d87c7968-9b19-4564-bd8b-cbfae4473aab · inbound

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning cites this paper.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.572118Z

Source-reported events for the cited work

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Observation 25a96312-2b0b-475c-91b2-649f60b911e9 · inbound

On Robustness and Reliability of Benchmark-Based Evaluation of LLMs cites this paper.

On Robustness and Reliability of Benchmark-Based Evaluation of LLMs Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 21

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Observation a0322c30-3942-409f-a309-44e1e89970ea · inbound

Can Large Language Models Generalize Procedures Across Representations? cites this paper.

Can Large Language Models Generalize Procedures Across Representations? Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 37

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Source-reported events for the cited work

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Observation 838842db-da98-4aa3-9e63-08afcba0ecf0 · inbound

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid cites this paper.

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 225

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:56:06.210285Z

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 1ca954c3-7fbb-4e6c-af01-05b0621262f0 · inbound

AGC-Bench: Measuring Artificial General Creativity cites this paper.

AGC-Bench: Measuring Artificial General Creativity Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:56.051567Z

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 08c71db3-2592-4c22-8b56-38fb14706716 · inbound

AGC-Bench: Measuring Artificial General Creativity cites this paper.

AGC-Bench: Measuring Artificial General Creativity Evaluating the Robustness of Analogical Reasoning in Large Language Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:28:58.095269Z

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.