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Paper Citation Record · LEDGER

Visual representations in the human brain are aligned with large language models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2209.11737.

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

pith.paper-citation-record.v1
2209.11737 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:30.524975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:25.028900Z

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 21518bc5-3b88-484c-822b-15c1805cd1d6 · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Visual representations in the human brain are aligned with large language models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:25.031867Z

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.

source=arxiv_source observed=2026-05-23T20:10:59.264484Z digest=sha256:63ad5212e080f74bef20de04720b5ba81aa67831dc40be53289191934e1a2b2e

Observation 6dd3f966-64c5-43de-8149-b03d432bfe01 · inbound

Multi-modal brain encoding models for multi-modal stimuli cites this paper.

Multi-modal brain encoding models for multi-modal stimuli Visual representations in the human brain are aligned with large language models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:30.524975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:30.524975Z digest=sha256:74340173b62f2f89616e6797aaf360c30828704e05a7282024b0bd45945670c9

Observation ded41309-6046-4826-9a9a-4b67125ee344 · inbound

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain) cites this paper.

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain) Visual representations in the human brain are aligned with large language models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:51.812008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:51.812008Z digest=sha256:c3049849d688b1c3b45a1392a668ccd4ac1066c19c07af93a4035739fa509efb

Observation 9715bfa2-67b0-41ad-b544-735da853fc9f · inbound

Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli cites this paper.

Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli Visual representations in the human brain are aligned with large language models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T00:04:27.048641Z

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.

source=pdf_text observed=2026-05-22T00:02:41.893373Z digest=sha256:097474986c371ff955bb01554550c3c1a6d8a1acf0d8fe522ed34865e61e9f8f

Observation 2112a0ed-47c6-4cc6-acf6-2f903dea97d9 · inbound

Representations in vision and language converge in a shared, multidimensional space of perceived similarities cites this paper.

Representations in vision and language converge in a shared, multidimensional space of perceived similarities Visual representations in the human brain are aligned with large language models

Reference 9383

Resolution
unresolved
no resolver link, observed 2026-08-06T12:21:22.528735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:21:22.528735Z digest=sha256:02bfe342500ba518a375252411578686adc7f7b547180e9a909ce49a12576700

Observation 8a5495a6-a2c0-4c5b-b0e7-2167eac4af4b · inbound

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction cites this paper.

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction Visual representations in the human brain are aligned with large language models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:17.428470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:17.428470Z digest=sha256:6c8faab2e25a575a3ed9a418ef6297859800dd6142a778a5b0aff2ccb276cb99

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

source=arxiv_source observed=2026-08-05T21:10:30.305671Z digest=sha256:6edd6c4d380551d190962817abee4ab4182d1acc826da1cf7fe147977e737219

Observation 7d35b591-127b-4040-8b66-c6d5090e3d2b · inbound

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding cites this paper.

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding Visual representations in the human brain are aligned with large language models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:15:58.714047Z

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.

source=pdf_text observed=2026-05-10T17:42:33.975433Z digest=sha256:63a2722f8670e4ad370e69aa0a728c554dd4d14c5d75bbdcd6551c382a272fdb

Observation 7eb917b8-b53c-4b0f-978b-7a4afb666a74 · inbound

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity cites this paper.

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity Visual representations in the human brain are aligned with large language models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:26:02.414338Z

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.

source=pdf_text observed=2026-05-10T17:11:07.301133Z digest=sha256:9d5d134a4b68d36d0a941554666cf2386d4603b967c8b1b5c61028f82c7505b1

Observation 49a8a407-3fc1-468c-ac19-0d7252c3ce85 · inbound

A foundation model of vision, audition, and language for in-silico neuroscience cites this paper.

A foundation model of vision, audition, and language for in-silico neuroscience Visual representations in the human brain are aligned with large language models

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:46:17.296023Z

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.

source=arxiv_source observed=2026-05-08T17:06:32.311392Z digest=sha256:014d7f11a33c64c53fd36ba095bf2cb607e365107fb5bf391c197b481d093fbd