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Paper Citation Record · LEDGER

Dimensions underlying the representational alignment of deep neural networks with humans

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.19087.

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

pith.paper-citation-record.v1
2406.19087 v2

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 2026-08-07T10:54:58.351830Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:21.368969Z

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 9cab8e71-b71a-4ced-881a-d4e04a2e8807 · inbound

Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era cites this paper.

Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era Dimensions underlying the representational alignment of deep neural networks with humans

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:58.351830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:58.351830Z digest=sha256:ea7c347be5d15a7b9316151094181573000c96221685ccf2f5da6202121575f1

Observation 846bbb08-d6cb-4eee-b4ed-9abe58184aee · inbound

Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context cites this paper.

Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context Dimensions underlying the representational alignment of deep neural networks with humans

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:26.504586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:26.504586Z digest=sha256:d872c4b367308db972e46ba8268ded8806757931ded2bac49a644c1c83a8d148

Observation c53acc01-49e2-4cdc-9752-c94350079e6b · inbound

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions cites this paper.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions Dimensions underlying the representational alignment of deep neural networks with humans

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:21.489485Z

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=2026-08-06T15:58:16.872962Z digest=sha256:1b2b17f3350ee6a25b37e1899b55bcb844a94f344370f4bfd9ad7317c1649322