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Paper Citation Record · LEDGER

Multimodal foundation models are better simulators of the human brain

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.08263.

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

pith.paper-citation-record.v1
2208.08263 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 2026-08-05T05:12:54.494811Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a7549fc9-1896-4984-8efe-9b1ec74e10bf · inbound

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization cites this paper.

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization Multimodal foundation models are better simulators of the human brain

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T05:12:54.494811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:12:54.494811Z digest=sha256:6e2884f58c60cdf51bd49be19f0fd2d45193a01060ad33a0cd3646ca3cc0105c

Observation 929971b9-7202-48f2-b9f7-2b414ba82197 · inbound

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review Multimodal foundation models are better simulators of the human brain

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-04T09:14:48.942375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:14:48.942375Z digest=sha256:c98a083bfd8add3cfc7714885c73267d3bd2fb8190166c7a4ac69e456dc00928

Observation 54e7a263-801a-4abf-b80b-048288fef4c2 · inbound

Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction cites this paper.

Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction Multimodal foundation models are better simulators of the human brain

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:01:43.907596Z

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.

source=pdf_text observed=2026-06-28T06:58:04.113338Z digest=sha256:1566c133193b0f9a97a43b39c500ecc3945419141c3fd1e90d6d629828468db3