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Paper Citation Record · LEDGER

Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.09850.

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

pith.paper-citation-record.v1
2508.09850 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:45:04.472255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:29.961633Z

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 5a84d8ac-cccd-464a-aeae-680780085e18 · inbound

Accuracy Does Not Guarantee Human-Likeness: Cross-Domain Human-Centered Benchmark in Monocular Depth Estimation cites this paper.

Accuracy Does Not Guarantee Human-Likeness: Cross-Domain Human-Centered Benchmark in Monocular Depth Estimation Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T06:45:04.472255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:45:04.472255Z digest=sha256:abc78c2001bdd3cf5668918924854d406c4aaff14ac5dc99ab447dd4b42560a2

Observation 04b064aa-453e-4767-993b-24e603fd29ec · inbound

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution cites this paper.

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:07:29.963266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T16:50:03.921332Z digest=sha256:919d254bbca2ef5e38d0cca8aa364aa888b049b8b31a71b24c26a6cef10f30dc