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Paper Citation Record · LEDGER

Assessing The Importance Of Colours For CNNs In Object Recognition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.06917.

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

pith.paper-citation-record.v1
2012.06917 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:33.764351Z

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

0
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 26b59e4d-84d4-43c7-a899-f4a0d06bdc25 · inbound

Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition cites this paper.

Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition Assessing The Importance Of Colours For CNNs In Object Recognition

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:33:47.779471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T02:29:38.678375Z digest=sha256:76eb9e0489f18e1f79634a9c496491f2c9e572a0a7ff4a64e2936238053c4d00

Observation d3ff99ed-789b-4a47-a1a8-487758aaba94 · inbound

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning cites this paper.

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning Assessing The Importance Of Colours For CNNs In Object Recognition

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T19:15:33.764351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:15:33.764351Z digest=sha256:52a3f5dd288606f2b65857cdb7613e06eca71dbfc1a51e52b36286147fc79ebf

Observation b44ba1ac-89ce-4fa0-95e7-30ec72f9c7b7 · inbound

A Robust Deep Learning Framework for Prominence Detection through Composite Feature Representations cites this paper.

A Robust Deep Learning Framework for Prominence Detection through Composite Feature Representations Assessing The Importance Of Colours For CNNs In Object Recognition

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:21:03.141073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T04:18:07.855138Z digest=sha256:f3d376f969d52b6f3ad91cb6890c66cab60e2529ce46ca85c2f83a76ce7092df

Observation ac212925-62e0-4617-8a3f-d478ad7c1aa4 · inbound

Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks cites this paper.

Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks Assessing The Importance Of Colours For CNNs In Object Recognition

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:20:07.887180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T20:12:50.848080Z digest=sha256:023428df4a5e7c37f99efaf62c015c1fe43a6cbb786f3aa0423a5b887a3684dd