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Paper Citation Record · LEDGER

ColorSense: A Study on Color Vision in Machine Visual Recognition

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.08650.

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

pith.paper-citation-record.v1
2212.08650 v3

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:53:59.937983Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:51:02.447020Z

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 b883f196-63e7-49a6-9089-b40f26385e28 · inbound

DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines cites this paper.

DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines ColorSense: A Study on Color Vision in Machine Visual Recognition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T20:53:59.937983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:53:59.937983Z digest=sha256:53a1fcb792aa8a6a66e06ca375d64a9aac86794cae2fcb1c0b9d8f42d1698eb1

Observation c94df8e9-9368-450a-9805-e27fd0b60a94 · inbound

MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models cites this paper.

MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models ColorSense: A Study on Color Vision in Machine Visual Recognition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:01:53.010760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:01:53.010760Z digest=sha256:6220303fd9c30f7390f7f3d6a422d326f2b839551bafac82aece842a45b0f95a

Observation ae84e11c-25a2-49fc-8504-0c76cd8e3e6b · inbound

AIDE: Agentically Improve Visual Language Model with Domain Experts cites this paper.

AIDE: Agentically Improve Visual Language Model with Domain Experts ColorSense: A Study on Color Vision in Machine Visual Recognition

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:51:02.454498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:51:02.047493Z digest=sha256:96d1b29fbf3a4139f2d6c1eeadbf60536db4b32c389aa46822995e2dab718df2