Pith. sign in

Paper Citation Record · LEDGER

RUN: Reversible Unfolding Network for Concealed Object Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.18783.

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

pith.paper-citation-record.v1
2501.18783 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:05.615079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:02.629761Z

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 4ed58d5b-648d-4316-9d96-74bd34438225 · inbound

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline cites this paper.

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:05.615079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:05.615079Z digest=sha256:85613ad7085dd868c7587eab073d2b36cc0ba313395908bdca5024c769819536

Observation 44c149eb-9c41-475d-8590-3e47e7b5f753 · inbound

Segment Concealed Objects with Incomplete Supervision cites this paper.

Segment Concealed Objects with Incomplete Supervision RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:58.570259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:58.570259Z digest=sha256:15f85407f6dc741ce3d518aa66bd0a1b9910a53bf7aff998870c3c5b15e4bdff

Observation df5c1220-3a26-4078-ba24-e996e4d35d77 · inbound

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

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:20.227441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:20.227441Z digest=sha256:14d8e92b6d5c6ed3404c990297e7dd1e1bac0f5839a8df0cc39999935812a719

Observation 5d1f3569-20ad-48ac-b7e0-e37acd35ff58 · inbound

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration cites this paper.

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:49:08.169478Z

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=2026-05-17T05:48:39.717268Z digest=sha256:e6b0a46dd64876bfb6ed4193f65941acbe7c744f99b96362a44f7947ddff12f8

Observation c0adf6a0-6220-4cd7-b053-fc6bc5b058c0 · inbound

Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception cites this paper.

Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception RUN: Reversible Unfolding Network for Concealed Object Segmentation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.633861Z

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=2026-06-29T22:24:08.893654Z digest=sha256:accbdc728ed53a2db8f87ff4327ae404ef79cd0dddc3edceea999502bda78a3d