Paper Citation Record · LEDGER

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning

As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 3 inbound Pith citation observations for arXiv:2508.10057.

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

pith.paper-citation-record.v1
2508.10057 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:10:37.414041Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T21:17:53.615009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:19:03.006714Z

Reference resolution

72 of 72 outbound references displayed

verified exact3
verified fuzzy19
unresolved50
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 233c5777-2f53-4e30-8d66-088123254e0a · outbound

This paper cites S., Malhotra, G., Dujmović, M., Montero, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning S., Malhotra, G., Dujmović, M., Montero, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:47.682683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57b28359-0f74-4d71-99a4-546e6fd3da49 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:29.437536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f07a24-3da2-4aba-96cd-4d9cb511fa22 · outbound

This paper cites and King, J.-R.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning and King, J.-R

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:47.645246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 781cba1c-ebb4-48ae-8a25-be6278e56d48 · outbound

This paper cites M., Spadoni, A.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning M., Spadoni, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:47.603291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c7277f1-622c-4c6e-9023-6aa685fe820e · outbound

This paper cites Y., Shamosh, N.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Y., Shamosh, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:47.574439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb62c896-6b84-4c03-b46b-af7f3134f0ad · outbound

This paper cites On the Measure of Intelligence.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning On the Measure of Intelligence

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:29.855927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1806b489-46fb-4c8e-827e-bda902674935 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:47.262606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35d36369-0e0e-4dbe-b159-1e07a73f9cb8 · outbound

This paper cites and Liversedge, S.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning and Liversedge, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:46.909559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9f997bc-645d-4202-8e99-4bef8850ef69 · outbound

This paper cites C., Janarthanan, S., Culham, J.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning C., Janarthanan, S., Culham, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:46.497695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d321922-c205-4cd1-b7e4-94576ada6e02 · outbound

This paper cites Visual representations in the human brain are aligned with large language models.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Visual representations in the human brain are aligned with large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:30.305671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbecbead-a688-49c1-9539-f0c5d53e2369 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:46.053949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d223ef4c-1809-4d16-a992-06fcc14910b9 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:45.941690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc8c69ed-1e51-4e8a-9ad4-d85ffb37cbc5 · outbound

This paper cites What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:30.605637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6838a968-50c1-4f49-b25b-142d822636c7 · outbound

This paper cites D., and Bunge, S.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning D., and Bunge, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:45.798777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b00a415f-b164-44a8-a629-de0c3e98e7a2 · outbound

This paper cites Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:10:39.707226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a465cd9-7fe6-402c-bdf2-9d091861f7c3 · outbound

This paper cites Large Language Models Are Not Strong Abstract Reasoners.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Large Language Models Are Not Strong Abstract Reasoners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:30.905697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b80aea-4b10-4e01-a438-3b7cc4f777f4 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:45.618254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79d5a68b-ce04-4546-8e48-f64c9c617001 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:45.408083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a23bb2b4-a0d4-408d-98fa-8440f63e0282 · outbound

This paper cites A., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., Parkkonen, L., and Hämäläinen, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning A., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., Parkkonen, L., and Hämäläinen, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:45.239643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca44e2a2-1be5-425a-8cbd-9b24b27f32e4 · outbound

This paper cites R., Chabris, C.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning R., Chabris, C

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:45.121386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fe42cb5-630a-40dd-b697-63392ec70874 · outbound

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

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:10:39.453434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4afe27a5-df67-4bb0-b166-13ba278b5159 · outbound

This paper cites The Platonic Representation Hypothesis.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning The Platonic Representation Hypothesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:31.523270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25ee9cc-a871-4dd4-bae2-5ab10b8ce09a · outbound

This paper cites The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:31.634022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106cfb87-891d-4637-927b-b0bfeaeef3dd · outbound

This paper cites How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:31.711093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43470528-9a80-418a-b327-9e6586f51ac3 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:44.965418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c4dbc41-863d-46ec-816d-cbc6fd59ea51 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:44.852966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef32c3d8-9c2d-4bb4-8703-bb5d8b70c44a · outbound

This paper cites Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.008604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b1b26b-25b6-4924-9623-6c8c2ea751b1 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:44.697523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e66c687e-0262-4a79-b5a5-e998291e43a3 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:44.513590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 792eeb8e-91a4-473b-9f1f-7aa1f9b90ff3 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:44.330762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a47cbddc-01c0-4ea6-a629-0bd340837a86 · outbound

This paper cites Layerwise Recall and the Geometry of Interwoven Knowledge in LLMs.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Layerwise Recall and the Geometry of Interwoven Knowledge in LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.345864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825ae4da-74f4-4b64-bce6-ebcb13f16787 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.495604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Evaluating the Robustness of Analogical Reasoning in Large Language Models.

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

Unavailable: canonical work link unavailable.

Observation 870b172f-abf6-4955-a08c-5a2b184ef900 · outbound

This paper cites P., Höchenberger, R., and Scheltienne, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning P., Höchenberger, R., and Scheltienne, M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:44.162463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7e33dfb-7194-46b9-a96f-1920a69c90fd · outbound

This paper cites Core Knowledge Deficits in Multi-Modal Language Models.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Core Knowledge Deficits in Multi-Modal Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.745337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6891c5-392f-43b7-9901-cac13bc29708 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:32.832512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 447b3515-464b-429a-bd90-b95e2a2a8af6 · outbound

This paper cites K., Nunez, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning K., Nunez, M

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:44.015487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5793bd76-df7e-4f6a-83a2-c84b72ac6d91 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:43.799479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebe3bfc5-a7f0-4aaa-8913-8eafd6ba3a53 · outbound

This paper cites T., Yao, S., Friedman, D., Hardy, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning T., Yao, S., Friedman, D., Hardy, M

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:43.641942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cba68c79-d221-40d1-9f21-8bcfe7d7a60a · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Locating and Editing Factual Associations in GPT

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:33.412685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036c7be9-6fdc-4ea4-8490-9f81c1107d4b · outbound

This paper cites A., Bickel, S., Mehta, A.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning A., Bickel, S., Mehta, A

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:43.519117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17396821-1c1a-4754-8ba1-956915d3dbf3 · outbound

This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:33.723349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ae96b7-7d71-486e-b1c4-387001f957c9 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:33.889651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a036735-b867-440b-986c-5218186bc226 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:43.352744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec39ed4d-02cc-47f7-9236-7835842d9ca2 · outbound

This paper cites and Simon, H.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning and Simon, H

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:43.193598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29a4172d-3176-4064-96e7-204422711f57 · outbound

This paper cites D., Watts, D.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning D., Watts, D

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:34.326008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bd68cab-a09a-467f-a20b-7cdb35470949 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:43.047602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c60942a0-a72d-4ab0-b1fe-fad6fd9383ee · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:42.856048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05ab861f-a3a1-41ca-9ed1-0804af7b65e7 · outbound

This paper cites and Kim, G.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning and Kim, G

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:42.701669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99a8f8b9-7cd3-44d4-b208-ece7303fb52a · outbound

This paper cites L., and Onofrj, M.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning L., and Onofrj, M

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:42.539637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6a5097b-3432-495e-b286-4f7ff72a5e99 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:42.390406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7347f47a-41da-4935-b076-66816ecf5258 · outbound

This paper cites an unresolved cited work.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:10:42.186448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65b306cf-e2b6-4f47-b6d7-2b87a5962077 · outbound

This paper cites A., Tuckute, G., Kauf, C., Hosseini, E.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning A., Tuckute, G., Kauf, C., Hosseini, E

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:10:42.023024Z

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Does Representation Matter? Exploring Intermediate Layers in Large Language Models

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 58

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning ARN: Analogical Reasoning on Narratives

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning E., Pafford, A., Maas, H

Reference 60

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Reference 62

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning J., and Lu, H

Reference 64

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning W., Holyoak, K

Reference 65

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Easy Problems That LLMs Get Wrong

Reference 66

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Layers at Similar Depths Generate Similar Activations Across LLM Architectures

Reference 67

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 69

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 70

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 71

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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Unresolved cited work

Reference 72

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Pith citing papers

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Large Language Models Align with the Human Brain during Creative Thinking cites this paper.

Large Language Models Align with the Human Brain during Creative Thinking Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning

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Observation 552a1d25-a62f-43e3-9978-7bfbd78ed677 · inbound

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Letting the neural code speak: Automated characterization of monkey visual neurons through human language Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning

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Observation 3632cbad-0236-40ae-9190-f02c7f9df741 · inbound

Letting the neural code speak: Automated characterization of monkey visual neurons through human language cites this paper.

Reference 96

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