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Paper Citation Record · LEDGER

Brain encoding models based on multimodal transformers can transfer across language and vision

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.12248.

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

pith.paper-citation-record.v1
2305.12248 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:32:28.427194Z

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

16
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 b80afeaf-d4a0-4a12-b3f6-f1a5fe4053d9 · inbound

Disentangling the Factors of Convergence between Brains and Computer Vision Models cites this paper.

Disentangling the Factors of Convergence between Brains and Computer Vision Models Brain encoding models based on multimodal transformers can transfer across language and vision

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T16:32:28.427194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:32:28.427194Z digest=sha256:57c318aae0ad5df0bc94643d40f685389502645ec9c53fe8105f7c054101470c

Observation 47bace50-2308-427b-bbcf-cec9e6f06ad8 · inbound

Dual-Stream EEG Decoding for 3D Visual Perception cites this paper.

Dual-Stream EEG Decoding for 3D Visual Perception Brain encoding models based on multimodal transformers can transfer across language and vision

Reference 227

Resolution
verified exact
arxiv_id, observed 2026-06-26T12:09:27.696214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T12:09:03.946197Z digest=sha256:f7cc674c6757e1ac0d83bbd0b7134ac67bce7f79633d5acd1d71cc94fc1b71d3