Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:37.575936Z
Paper Citation Record · LEDGER
THiNK: Can Large Language Models Think-aloud?
As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.20184.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T22:20:53.998837Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
34 of 34 outbound references displayed
- verified exact0
- verified fuzzy16
- unresolved15
- parse uncertain3
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8a7c8880-5fd9-469d-bcb4-c7d5e50c4e4d · outbound
This paper cites By analyzing which concepts are invoked, we assess the knowledge dimension activated during problem-solving and whether the LLM navigates these domains coherently.
THiNK: Can Large Language Models Think-aloud? By analyzing which concepts are invoked, we assess the knowledge dimension activated during problem-solving and whether the LLM navigates these domains coherently
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:43.254905Z
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.
Observation 0fa765ff-d851-481b-a821-0373e1944790 · outbound
This paper cites Thilo Hagendorff, Sarah Fabi, and Michal Kosinski.
THiNK: Can Large Language Models Think-aloud? Thilo Hagendorff, Sarah Fabi, and Michal Kosinski
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:44.055481Z
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.
Observation a4aa73a5-1796-43c5-aa1f-a76b5d6ed06c · outbound
This paper cites Representations are critical for logical coherence and traceability in reasoning.
THiNK: Can Large Language Models Think-aloud? Representations are critical for logical coherence and traceability in reasoning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:42.892838Z
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.
Observation 2f68695c-0270-47e6-81cb-67b468eebf67 · outbound
This paper cites A model’s ability to adapt its reasoning across such variants reflects generalization ability—an essential attribute of HOT.
THiNK: Can Large Language Models Think-aloud? A model’s ability to adapt its reasoning across such variants reflects generalization ability—an essential attribute of HOT
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:42.649080Z
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.
Observation d9d1a54d-e351-4c68-a515-5b41cb3329af · outbound
This paper cites Five Keys.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:42.396321Z
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.
Observation 30a63fb8-e0f4-41a6-a468-e77e64a0ac3f · outbound
This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
THiNK: Can Large Language Models Think-aloud? Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:34.989895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f285043-ceae-4a7e-b7ac-a08237cb27f7 · outbound
This paper cites Assessing and Understanding Creativity in Large Language Models.
THiNK: Can Large Language Models Think-aloud? Assessing and Understanding Creativity in Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:35.188891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eda686bc-321f-44f8-b9d2-085ef43b9912 · outbound
This paper cites Five Keys.
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:43.413353Z
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.
Observation fc6c6ce0-d87c-436f-b349-e6e86497d3cf · outbound
This paper cites These skills serve as proxies for prior knowledge and inform whether the LLM draws upon relevant background competence.
THiNK: Can Large Language Models Think-aloud? These skills serve as proxies for prior knowledge and inform whether the LLM draws upon relevant background competence
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:43.061734Z
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.
Observation bc43f647-0c80-4f11-92ad-366e129e0133 · outbound
This paper cites You should try to understand and retrieve the specific mathematical information in it such as facts, patterns, objects, or contextual information, and decipher these meanings.
THiNK: Can Large Language Models Think-aloud? You should try to understand and retrieve the specific mathematical information in it such as facts, patterns, objects, or contextual information, and decipher these meanings
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:42.080713Z
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.
Observation f80c2551-b0ae-441d-87f4-f27be7b9cd08 · outbound
This paper cites It includes understanding and organizing information, analyzing relationships, drawing conclusions, and distinguishing nuances.
THiNK: Can Large Language Models Think-aloud? It includes understanding and organizing information, analyzing relationships, drawing conclusions, and distinguishing nuances
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:41.709139Z
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.
Observation 632569ac-4052-4187-86a6-dc67e329e041 · outbound
This paper cites These new expressions should have the same form as the given expressions in the previous generated math problem.
THiNK: Can Large Language Models Think-aloud? These new expressions should have the same form as the given expressions in the previous generated math problem
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:41.478200Z
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.
Observation d90fac4d-e73b-47fc-bc1f-49e61c612496 · outbound
This paper cites The generated stories must be a mathematical word problem with the corresponding expressions.
THiNK: Can Large Language Models Think-aloud? The generated stories must be a mathematical word problem with the corresponding expressions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:41.250540Z
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.
Observation 4ae966b1-69d3-4983-b64b-2753e21a22c2 · outbound
This paper cites question.
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:40.942421Z
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.
Observation d7221b4a-69f1-4292-9c7e-b07d16682968 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:40.731850Z
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.
Observation 097e0f7a-e8c0-4aa7-8a53-1112802d3640 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:40.516278Z
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.
Observation e7cca71a-fa57-4018-81a1-996ea4f8a584 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:40.346332Z
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.
Observation 71cfc3bd-c73a-4638-a83b-201870d4932c · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:40.119981Z
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.
Observation 0bd16435-849c-4b77-b423-35024e0a2a0d · outbound
This paper cites ID": null,.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:39.859244Z
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.
Observation 905ea987-80e9-4efc-ac45-90783e9ccf18 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:39.683488Z
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.
Observation 373900a1-c4ed-414f-acab-352e4fb4840a · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:39.422480Z
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.
Observation 28bbc1f8-ccd1-4e0f-a597-8346676859cb · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:39.228336Z
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.
Observation 79f727b5-a1b4-4900-b207-266a76810f5d · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:39.013489Z
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.
Observation fba5fb64-1ef4-447e-8f46-3851e00a2fc2 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:38.843275Z
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.
Observation daaf974f-20f5-4e54-9b92-d6d3073a526b · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:04:38.604568Z
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.
Observation 88110793-a66b-414c-aaa9-dd9f02d9fef1 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 31
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T14:04:38.445619Z
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.
Observation acfc7e07-2c28-4479-9c14-bb5374b74b76 · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 32
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T14:04:38.191305Z
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.
Observation 237518b0-cf69-410d-8cfa-93d6a34f5c0c · outbound
This paper cites an unresolved cited work.
THiNK: Can Large Language Models Think-aloud? Unresolved cited work
Reference 33
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T14:04:38.000547Z
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.
Observation 7735d87f-a2ae-410b-84eb-b1424ad23de3 · outbound
This paper cites performance_score.
THiNK: Can Large Language Models Think-aloud? performance_score
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:37.798360Z
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.
Observation 6e3bc5a6-54ea-4d38-a129-9d44eba41060 · outbound
This paper cites English language teaching, 3(4):237– 248.
THiNK: Can Large Language Models Think-aloud? English language teaching, 3(4):237– 248
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:43.595243Z
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.
Observation 4f4a0605-e26a-479d-bef5-6bda3f3c3127 · outbound
This paper cites MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models.
THiNK: Can Large Language Models Think-aloud? MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:35.106825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93bfd8cb-0986-4884-9228-76953960d739 · outbound
This paper cites HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models.
THiNK: Can Large Language Models Think-aloud? HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:34.719074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c0dea8-bcd4-4dcd-8b03-81fbd12f337b · outbound
This paper cites TOFEDU: The Future of Education Journal, 3(5):1488–1499.
THiNK: Can Large Language Models Think-aloud? TOFEDU: The Future of Education Journal, 3(5):1488–1499
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:04:43.817646Z
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.
Observation e335ab1c-82d5-46d0-9b99-a5dfdcb741e1 · outbound
This paper cites Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.
THiNK: Can Large Language Models Think-aloud? Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:34.565123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 13673311-eda7-400a-b9d2-8c8c39141232 · inbound
Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy cites this paper.
Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy THiNK: Can Large Language Models Think-aloud?
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:20:53.998837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.