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Paper Citation Record · LEDGER

RUN: Reversible Unfolding Network for Concealed Object Segmentation

As of 9 August 2026, this Paper Citation Record lists 69 of 69 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 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:35:00.655652Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy60
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ab35673-cb6a-45b3-a737-c6c79c63cd15 · outbound

This paper cites Recurrent multi-scale transformer for high-resolution salient object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Recurrent multi-scale transformer for high-resolution salient object detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.685634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.369320Z digest=sha256:26b8961f6513c0adc5c170e463e0e4cfeeb90f0466cd6c6f2308fa7550cf0160

Observation d3b58843-582f-49aa-b98a-bd1f669e4165 · outbound

This paper cites Polyp-pvt: Polyp segmentation with pyramid vision transformers.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Polyp-pvt: Polyp segmentation with pyramid vision transformers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.671403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.374787Z digest=sha256:882a7628d8d5bd45cf907ad7e322d82ba0ced63ca534d29de254e0f76b5d2a57

Observation 9a4c5706-fdb2-4bc1-a484-2727f4a0abb1 · outbound

This paper cites K., Winn, J., and Zisserman, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation K., Winn, J., and Zisserman, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.656786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.379993Z digest=sha256:a0ef729e2391aacc71214ea2c149dfb0786c92f450d5c112a085c41a6bf52591

Observation e372750c-ae66-4d05-b251-9e81461615d9 · outbound

This paper cites Structure-measure: A new way to evaluate foreground maps.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Structure-measure: A new way to evaluate foreground maps

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.636804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.385026Z digest=sha256:e5b98b70b874d308558cd6b80a627a73630fff488094014374c830af9dffbd23

Observation 7c56239f-bac9-435a-8781-ad185f385752 · outbound

This paper cites Camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camouflaged object detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.622404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.389420Z digest=sha256:015ec272cf22cf9d7412345686142f957d14ff0932bedabffe49d6f5976360ee

Observation b3388314-cce4-49da-a378-8acb10542142 · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.608866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.393431Z digest=sha256:c0534be971104e2db80de3b88f52d441239e8fc724630a9d00088b84c5a1881b

Observation 68b14d86-b15e-4b71-8783-3d2e1b597eb3 · outbound

This paper cites Concealed object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Concealed object detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.590729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.398024Z digest=sha256:3b7862bd29d3d966dec1ccade17caf03c47d141abb91412136da226625aeca13

Observation a232d521-f527-439e-83d5-6626a1a627a9 · outbound

This paper cites Cognitive vision inspired object segmentation metric and loss function.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Cognitive vision inspired object segmentation metric and loss function

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.575341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.405188Z digest=sha256:32631a1d0ff97e214a1e8a3de8da2389f14099377beddb56e6644d740ffd6ef0

Observation 0ea5b61e-39c1-40b3-95e8-aa52e7a93a66 · outbound

This paper cites Advances in deep concealed scene understanding.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Advances in deep concealed scene understanding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.558898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.409668Z digest=sha256:1a2b611fb9c99b450c2da8d2bde4ee4b2b957a4003de4a60cad9a76d2fae152f

Observation d5229738-54ac-48d3-aa0e-fcb331734d49 · outbound

This paper cites Rfenet: towards reciprocal feature evolution for glass segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Rfenet: towards reciprocal feature evolution for glass segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.535072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.413750Z digest=sha256:cfff497a38f82236c99222d602c432ac528218e08caa70f833b8b47f00607d8a

Observation 32e65734-9988-4a26-863a-fcfa479a46e0 · outbound

This paper cites Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.417841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.417841Z digest=sha256:59a1977ffc27a7300a054edb011105adba3d8888060bedc692fc6ff08f3c965e

Observation 47d978f7-112b-4814-b034-6fa7d3a1f368 · outbound

This paper cites Real-world image dehazing with coherence-based label generator and cooperative unfolding network.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Real-world image dehazing with coherence-based label generator and cooperative unfolding network

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.506265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.422314Z digest=sha256:25e3fd20d087a8abdff168a69a68def48d68ab42da05a5a2b31458e7e50d461a

Observation 5fc4b2bd-81b0-4534-9b24-c74654bbf323 · outbound

This paper cites Res2net: A new multi-scale backbone architecture.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Res2net: A new multi-scale backbone architecture

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.493874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.426038Z digest=sha256:bcdc445f40871663ec499ff5752a7d0e8f219be835a420dd537bcb15092945aa

Observation 0d80fc61-202c-4cf3-b5d8-158ee19c95ae · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.481396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.429649Z digest=sha256:e94102873f345cb588838818d29a706db0d3ec21e8f0abe83b4ce9cd3df646ab

Observation e1ce7074-86e7-4c5f-8446-f90abfbcf5a5 · outbound

This paper cites Topology-aware uncertainty for image segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Topology-aware uncertainty for image segmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.469740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.432864Z digest=sha256:4c4a8d8bcc47556bd267d893499e2f92fc0011d42c50e3fac2e66ccf0a900cbb

Observation 5c1080bb-bb38-4d2b-a6e3-cae735c0e193 · outbound

This paper cites Internal-External Boundary Attention Fusion for Glass Surface Segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Internal-External Boundary Attention Fusion for Glass Surface Segmentation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.436010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.436010Z digest=sha256:87450794471ea37e388cec9c4020167b8c31517ffbe75e1c2a6d885af00f9323

Observation 99c8b28a-b71b-4ac0-8de1-d4fe21696f81 · outbound

This paper cites Degradation-resistant unfolding network for heterogeneous image fusion.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Degradation-resistant unfolding network for heterogeneous image fusion

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.457610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.439585Z digest=sha256:3e532861d920c0c7a6b6fe84dff199bfea0f0ca93addadba9a446c15f192f119

Observation 3fbc7010-d510-4576-8015-59db2514ec6d · outbound

This paper cites Camouflaged object detection with feature decomposition and edge reconstruction.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camouflaged object detection with feature decomposition and edge reconstruction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.445865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.443844Z digest=sha256:6c60db17ebba01677336cf61e17e2a31b7e137631b313a6df57337eecfa6a53d

Observation b8c3541b-bbf6-4d72-9c65-ae22efcf6d67 · outbound

This paper cites Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.434516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.447523Z digest=sha256:92a9a7376b2469e25538a358fae5ce0690b40cf4642da24f7889001f8437bb49

Observation 89d40b0b-77ff-4644-8703-9b33d1ac4c38 · outbound

This paper cites Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.422048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.451214Z digest=sha256:43b387095ce5e6eb39c66676d24d53ac9d40aa85392b950b62cc63c2d4864ff7

Observation 35eec312-3a4a-4618-9abc-a3525996fe55 · outbound

This paper cites Enhanced boundary learning for glass-like object segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Enhanced boundary learning for glass-like object segmentation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.409098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.455211Z digest=sha256:307b6bb8e5cfbad8e87c3ff09af2f8daa2d13928d238f993aa4a98785c585511

Observation f4b0f95d-290f-43a2-b77b-cfd84ab88f25 · outbound

This paper cites Deep residual learning for image recognition.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Deep residual learning for image recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.458577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.458577Z digest=sha256:bc174e6be493a2637469a96d877d49a83dfa736081f24b2f9c6118ef6223b2b8

Observation d45ca7ab-9e61-44a3-a352-885665e13232 · outbound

This paper cites High-resolution iterative feedback network for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation High-resolution iterative feedback network for camouflaged object detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.280298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.462516Z digest=sha256:1209a882bbc0fd60007de2b2da76ad72bf7f6a2a0d9eac27b337e9ab396a3a03

Observation a91ccc60-ae95-4650-8250-efef8e2f30de · outbound

This paper cites Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.268850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.466305Z digest=sha256:152232f49a8ee920d0368fca23e9f51bc0d119131853e27c1ae0107072e3fe80

Observation 1985a353-3808-4164-a45f-35c91f1be9e1 · outbound

This paper cites Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.256906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.470548Z digest=sha256:0fa5c49d7e3df984882fadc9948a1fa0a8161486019f6a2401f29719410bcc7a

Observation 0d97fd4c-f0ad-4b92-91f7-e89f4b90f70e · outbound

This paper cites Segment, magnify and reiterate: Detect camouflaged objects hard way.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Segment, magnify and reiterate: Detect camouflaged objects hard way

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.246191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.475241Z digest=sha256:c69a571094a5a15de7840a2a5841ef117ab7f185275119b7c20ddbd348378258

Observation 9b857b34-57ff-491b-be5c-bcaa1a9b65ad · outbound

This paper cites Camofocus: Enhancing camouflage object detection with split-feature focal modulation and context refinement.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camofocus: Enhancing camouflage object detection with split-feature focal modulation and context refinement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.234411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.479670Z digest=sha256:61dd4cae3f616a82670edf655387b9510eb1300b9b7929c4f52f2dcb69bfd560

Observation 0ec51fdf-2400-44ef-94b8-e11f2058cbc6 · outbound

This paper cites V., Nie, Z., Tran, M.-T., and Sugimoto, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation V., Nie, Z., Tran, M.-T., and Sugimoto, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.222155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.483805Z digest=sha256:c6f389d87f709eb34f25fa97967c47180e324b1955e114a3b6c7c1d0789d09d7

Observation 072dcbe4-96bd-4f07-bdf7-58cdfc239b74 · outbound

This paper cites and Yu, Y.

RUN: Reversible Unfolding Network for Concealed Object Segmentation and Yu, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.210806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.487678Z digest=sha256:0f7ef16a69c7009259d41aae221442fc9bfc57a3b7e1d1bcee5f2b62ed6448ae

Observation 9522ba76-a626-4358-a7b9-9262bb81e667 · outbound

This paper cites M., and Yuille, A.

RUN: Reversible Unfolding Network for Concealed Object Segmentation M., and Yuille, A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.199663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.491897Z digest=sha256:d169237484ad0e93d635e5fb4df7c234945fb4506a5634f33500e0b62e280489

Observation dcf1f38f-e47c-4846-b969-338afe370995 · outbound

This paper cites and He, Z.

RUN: Reversible Unfolding Network for Concealed Object Segmentation and He, Z

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.188803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.496056Z digest=sha256:76edbe22c36304adfcdd0147313236207cb30fd6946365f3c08bcb74432b5364

Observation cb2523d5-cbe8-4afa-9b4d-f8f12c58ff5c · outbound

This paper cites Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.177569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.500028Z digest=sha256:4599195211bfdf929965d92d086960bc0c3d098adf44a5edd5575e02391e77be

Observation a25950a5-741a-4dfa-935d-64ced20f6ba8 · outbound

This paper cites Visual saliency transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Visual saliency transformer

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.165531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.508051Z digest=sha256:a00c23c2c03b86f2389c5c2307ff27b269efc1bdf941bdd59c75a7e0a5e4e2b5

Observation 5c381eee-8c72-4029-a1b1-4392f9ece3d6 · outbound

This paper cites Vst++: Efficient and stronger visual saliency transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Vst++: Efficient and stronger visual saliency transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.153949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.515831Z digest=sha256:a0d1212b418d2268675fe17f764fe3d239914ad2445edd67f10701eec5a3a0b6

Observation 0b4469fb-663b-49c2-9a5f-2a49af4ed1f4 · outbound

This paper cites Vmamba: Visual state space model.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Vmamba: Visual state space model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.142768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.520369Z digest=sha256:36d6348da4947e0c67000dd71745601ca954642dd934dfb805ca7e33a71f5098

Observation aea5f9e4-0e64-4018-9241-941803e4a08a · outbound

This paper cites Simultaneously localize, segment and rank the camouflaged objects.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Simultaneously localize, segment and rank the camouflaged objects

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.130599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.524646Z digest=sha256:249e362ae7d841b0be886cd276ffff79deef3d455fe5f17d326de045102e25ad

Observation 3a2f2e5e-21ba-4321-9a83-267278fa7aa5 · outbound

This paper cites Structure and illumination constrained gan for medical image enhancement.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Structure and illumination constrained gan for medical image enhancement

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.115328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.528727Z digest=sha256:57bd19755cc25d0b122f64f193e4ca55d6444d813845a17d59e2d47fccc9fb6c

Observation d8ed803e-890a-4b00-bd91-0147d3b65925 · outbound

This paper cites How to evaluate foreground maps? In CVPR, pp.\ 248--255, 2014.

RUN: Reversible Unfolding Network for Concealed Object Segmentation How to evaluate foreground maps? In CVPR, pp.\ 248--255, 2014

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.103359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.532720Z digest=sha256:d0a526395bba87f3eb95aa18064497b17fb54d76fcc1cd93121ac7aadfe80bc1

Observation 8f8e8b30-abe0-47a0-b598-23655c0cde1c · outbound

This paper cites Don't hit me! glass detection in real-world scenes.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Don't hit me! glass detection in real-world scenes

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.090745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.536575Z digest=sha256:4e52feb7b94481a4c35404008d38e8f24db26fbec6d1fd0522093db7c268be14

Observation 5dfeea67-f66d-42ce-a946-b5167ff71459 · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.077046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.540525Z digest=sha256:c098a6dd9f322e1917564fb89990c3a83d98f121338df6a7269a1f6845102502

Observation cd6e0566-f885-4a66-8afa-dae185ff6d88 · outbound

This paper cites F., et al.

RUN: Reversible Unfolding Network for Concealed Object Segmentation F., et al

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.059454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.544014Z digest=sha256:435e56c010201854f3359bc497dd96c74c8760969b1ab114b2e5ccb0f060615d

Observation 7e443042-0cb9-4b44-ab7a-210532882d96 · outbound

This paper cites Zoom in and out: A mixed-scale triplet network for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.047124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.548504Z digest=sha256:c2e730b9622a3a70aa8650d8aa790b25f6ec4e0ecdc6af0a7a2a3cbcc6e42a27

Observation 05063b02-9c90-4d7e-b7f3-5c8f79b06355 · outbound

This paper cites Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.035156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.552524Z digest=sha256:2d2072d46b2cb5f10906d4d7f032957e9aba0c06110ea2146fcbf8dd1866f6d6

Observation cac443d0-5f92-4392-84c0-e8317bb0e514 · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:01.022787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.556634Z digest=sha256:6ff609a14c1390fcef4e86904723631c70d472d8b622f14faa56a6edd50c19cb

Observation e7c2d806-f7b6-4f65-9cb2-519aba2ae77f · outbound

This paper cites Toward embedded detection of polyps in wce images for early diagnosis.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Toward embedded detection of polyps in wce images for early diagnosis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:01.010381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.561019Z digest=sha256:2e5f9bb06bdc0a5f5ef9c042997257c495fb2ddbe0e41097ab4cc665089a7560

Observation c26da0b8-0bce-461e-bac0-c8dbcc3281b3 · outbound

This paper cites Animal camouflage analysis: Chameleon database.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Animal camouflage analysis: Chameleon database

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.998521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.565446Z digest=sha256:18a7119dabeb8a1e1124eda15b8c5a6107c151460c82df6931568c24ad13ac30

Observation 9ff36a8e-1aa2-45b7-9423-a3d64fc896a1 · outbound

This paper cites Frequency-spatial entanglement learning for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Frequency-spatial entanglement learning for camouflaged object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.986907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.569297Z digest=sha256:1c8a54cf038893da4460f88d9c804e093b83f22635b771e2802eb9d1f119a96b

Observation f4bf5c56-b1f3-48b8-b64d-0390c09f9598 · outbound

This paper cites R., and Liang, J.

RUN: Reversible Unfolding Network for Concealed Object Segmentation R., and Liang, J

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.974758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.573382Z digest=sha256:f25efcd3a2114498f22c8dbf574b3f6efe24bf7ad8696e74614c38bc272fb59a

Observation dd3c76e5-7237-4fcc-a02d-cf97d77438a8 · outbound

This paper cites Learning to detect salient objects with image-level supervision.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Learning to detect salient objects with image-level supervision

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.963610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.577218Z digest=sha256:dedc22bef9354ff845342afe4a1c6eb7a1ec72b186a2d72fc08de3fc7c4f4325

Observation e28b67e3-9a40-45a7-a81c-ee37172e0da7 · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pvt v2: Improved baselines with pyramid vision transformer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.953057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.581772Z digest=sha256:d6b33eb0e38dc5fdc32cb1fe841eab3eab2ea5cdae123774d6ffa881e271e91a

Observation 286f0b28-d124-43cb-97a3-bbeb3bd2dc71 · outbound

This paper cites Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Lssnet: A method for colon polyp segmentation based on local feature supplementation and shallow feature supplementation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.941306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.585738Z digest=sha256:98dfc0c253ed0ca0d85247cba167fde7202ed2bebb1f5e17ca876e0ae81a0c2f

Observation 4a415e70-5a84-4ff3-8c71-1855bca0b610 · outbound

This paper cites Image threshold segmentation based on glle histogram.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Image threshold segmentation based on glle histogram

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.929456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.589342Z digest=sha256:d5d6ccf0449a0784bf3eca56e300388f3afb87889c5da94e3ff0ec8477a3a6bd

Observation 493ae53e-b8d2-46f9-bd84-ddb6fec967af · outbound

This paper cites Pixels, regions, and objects: Multiple enhancement for salient object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pixels, regions, and objects: Multiple enhancement for salient object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.918330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.593388Z digest=sha256:fb00075aee7dd5cd890aa218da32b59f6fa66db4ffc1728a305134d0a9eeeae5

Observation 4d4f4d17-a237-4d51-8473-f9f789655df8 · outbound

This paper cites Concealed object segmentation with hierarchical coherence modeling.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Concealed object segmentation with hierarchical coherence modeling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.905833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.597429Z digest=sha256:1ed9d26b5fc59510c58fd354fb4e021275880a7b222e7463b252ffcb055849fb

Observation fd104ff2-42f1-4838-b383-ca541f644aef · outbound

This paper cites A Survey of Camouflaged Object Detection and Beyond.

RUN: Reversible Unfolding Network for Concealed Object Segmentation A Survey of Camouflaged Object Detection and Beyond

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.601384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.601384Z digest=sha256:1f48a648be3c99de57b6b3f00b63b74f866875d09cd1a2155b964c30893a67cc

Observation 967f91b2-3b36-404f-9085-cf0cb60218cd · outbound

This paper cites Pyramid grafting network for one-stage high resolution saliency detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Pyramid grafting network for one-stage high resolution saliency detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.893375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.605622Z digest=sha256:9e9b8c85b72c521b6f35c79cc9c0a1871a971bee0df9e6081e8e062a64b79553

Observation 5d7c0562-dae6-4219-a946-32b67e970d83 · outbound

This paper cites Hqg-net: Unpaired medical image enhancement with high-quality guidance.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Hqg-net: Unpaired medical image enhancement with high-quality guidance

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.882144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.609097Z digest=sha256:34587c180491a60b27921c9c77edf308b3578a7494a46814041f43fa25a0a2b7

Observation 144948ff-9a4d-4c76-99b7-5a6bc2c2548c · outbound

This paper cites Hierarchical saliency detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Hierarchical saliency detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.869423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.613201Z digest=sha256:ef4697ee4df0b62809849534c2681ef16447b891b24ab7cf431b91800307e950

Observation 4a597566-d852-4da4-ad71-03dc44f2590d · outbound

This paper cites an unresolved cited work.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:35:00.857828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.617098Z digest=sha256:42998a5d20a193c235de02889d99ad2c986d18efaa4e323a9fddc235e8c88e3b

Observation bde36e57-8838-4933-99bc-1d157a0dcc24 · outbound

This paper cites Saliency detection via graph-based manifold ranking.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Saliency detection via graph-based manifold ranking

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.845105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.621058Z digest=sha256:c438f165af9fe8c0fbd75d765be68f08ec52025c59b7fd08af06da213921b813

Observation 04d0a110-8ed6-4d7e-b429-9555d321d275 · outbound

This paper cites Oaformer: Occlusion aware transformer for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Oaformer: Occlusion aware transformer for camouflaged object detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.832843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.625172Z digest=sha256:87bd1f551b937ce3559cdb7dd518a204a175757ceacdc508701a20e8cccd0a7e

Observation 97c4dd9b-c86c-4624-a49f-d0dd01528fd6 · outbound

This paper cites Gponet: A two-stream gated progressive optimization network for salient object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Gponet: A two-stream gated progressive optimization network for salient object detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.822297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.629169Z digest=sha256:d179e24df7956b1ce574b0a5dac685b67a28e3f98b3182395225b8ba3e75ceab

Observation c6120dee-46a7-49cc-891e-0cdf35663901 · outbound

This paper cites Camoformer: Masked separable attention for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Camoformer: Masked separable attention for camouflaged object detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.810695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.633192Z digest=sha256:5c47293bba3748e34bf880ee36700982e542c786fc955528a7282f4128f5fcff

Observation 4b93b0c9-53dc-4928-8e23-fe4e69005a41 · outbound

This paper cites Exploring figure-ground assignment mechanism in perceptual organization.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Exploring figure-ground assignment mechanism in perceptual organization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.797487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.637086Z digest=sha256:44d6569ddaf89a15ac1efe26a26347afeb8593e89f778e9b3d912d51e268754f

Observation bc5e344b-8192-4ed6-b212-76bc1e525f87 · outbound

This paper cites Focusdiffuser: Perceiving local disparities for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Focusdiffuser: Perceiving local disparities for camouflaged object detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.785197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.640828Z digest=sha256:32ce35c25ffd25b2fc16e8b08a886e3203636ab3a82ddba911834420618753b1

Observation 53c76917-f9c9-45d0-a2f2-450ebd629348 · outbound

This paper cites Bilateral reference for high-resolution dichotomous image segmentation.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Bilateral reference for high-resolution dichotomous image segmentation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.770335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.644769Z digest=sha256:ca25cd98f8195ed1c744a1f252b854731d6e40fa3bd4dee7dd776ab25a955d9c

Observation fae816b7-273e-4b3f-94d1-8e1208e49baf · outbound

This paper cites I can find you! boundary-guided separated attention network for camouflaged object detection.

RUN: Reversible Unfolding Network for Concealed Object Segmentation I can find you! boundary-guided separated attention network for camouflaged object detection

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.756546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.648414Z digest=sha256:9696cb2e0ce3921654288380e21151d75d1cd7fb41904b292b2b3c729ecca081

Observation 04916862-eac6-475a-9112-bd090353a9c9 · outbound

This paper cites Salient object detection via integrity learning.

RUN: Reversible Unfolding Network for Concealed Object Segmentation Salient object detection via integrity learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:35:00.740739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T22:35:00.652015Z digest=sha256:2f26a2545721222ed27c0371f5775457a0f85089d1a1a4af78b2af8444892e8c

Observation ff064d09-a909-409d-b03f-68669c72587d · outbound

This paper cites write newline.

RUN: Reversible Unfolding Network for Concealed Object Segmentation write newline

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-09T22:35:00.655652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:35:00.655652Z digest=sha256:c2c2dd35148064e5f1bc56aa45ced4e1a2da82b997c5aef5ebf2091cf12435ef

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=sha256:22aa1a83fd0bc9ed4fcb21212b4fa191c7df85927abe4f87c7b0026f8497bfca

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=sha256:4cc76e502253d2cd4094f23abb81ff39a891d803fbd71a9c19bde27bde7ec687

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=sha256:18fe23eb5445745f81194300c2025ae925888cc39a7db2b5dc6d02ec640d1027

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:48:39.717268Z digest=sha256:ab80a20c0353751368e0d1657e4b8f411650f652a4a848c0bb75d65ce550b57e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:24:08.893654Z digest=sha256:7ff934ed7f33e873f039ad9d15e42ea8bd5ff4cf3696b7bfe6214921ae939b93