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Paper Citation Record · LEDGER

Diffusion Models in Low-Level Vision: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.11138.

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

pith.paper-citation-record.v1
2406.11138 v2

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 2026-08-07T12:44:14.991001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:14:53.425191Z

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 afb0dd7e-283d-4774-8164-29a7958d53e2 · inbound

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP cites this paper.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diffusion Models in Low-Level Vision: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:14.991001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:14.991001Z digest=sha256:9cd729e6b7f57140ce97c793e4ac52d7f9dd8cde067b260e7e64065e5b2d951b

Observation 4ef5e255-d929-4978-b4e8-5d0eb648c269 · inbound

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement cites this paper.

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement Diffusion Models in Low-Level Vision: A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:20.248410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:20.248410Z digest=sha256:ecc2c35766e6d755e03f09ccb4f7886617a496b474ef89fc8df5342e3d813366

Observation 03cf099a-5a6c-490b-b80b-481bb4e92634 · inbound

A Synthetic-to-Real Dehazing Method based on Domain Unification cites this paper.

A Synthetic-to-Real Dehazing Method based on Domain Unification Diffusion Models in Low-Level Vision: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T10:27:19.383602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:27:19.383602Z digest=sha256:5f1745c7f2f4fcca615a21732f5ab608b23940f94672d0b59379fc655516f10c

Observation 4e5de739-9d39-4f63-9010-940234579000 · inbound

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization cites this paper.

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization Diffusion Models in Low-Level Vision: A Survey

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:14:53.428183Z

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=arxiv_source observed=2026-05-22T13:11:39.719989Z digest=sha256:ac2594d10d5fca5f8a1aa500bfd1e05a326629574d72adf213169bf414fb6e2e