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Paper Citation Record · LEDGER

Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.11788.

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

pith.paper-citation-record.v1
1811.11788 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 2026-08-03T11:45:48.161694Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T06:58:05.902570Z

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 d80597e6-25ea-4526-9abe-2ed7a50e7a8a · inbound

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes cites this paper.

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

Reference 75

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T16:01:04.888480Z

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=2026-05-16T16:00:10.425309Z digest=sha256:32c7a3cf78b75cc285cbfcad56dcfe1ac770e772efce6a667001ae12659f3167

Observation 3a47abc6-8495-4d77-aa57-f1df303d10e0 · inbound

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes cites this paper.

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-03T11:45:48.161694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:45:48.161694Z digest=sha256:7711b21c84e966e490e5ce9b5d545b80d3da37ede6a814f2ab4201c4b25646f1

Observation 1587bd5a-8459-4333-8e89-d5c466657eca · inbound

White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation cites this paper.

White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-20T06:58:05.904642Z

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=2026-05-20T06:56:23.252638Z digest=sha256:aead4b8d851ea58079dab42168c5c9d722750d4f4448815162c74799ad0a7faf