Paper Citation Record · LEDGER

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2304.04709.

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

pith.paper-citation-record.v1
2304.04709 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:07.653311Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:02.121627Z

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 ef4ab74b-efe9-4831-94f6-3a3f722acf7f · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:01:49.966606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a75fdf5b-adea-4de1-9bb4-6f5d07950677 · inbound

SAM 2: Segment Anything in Images and Videos cites this paper.

SAM 2: Segment Anything in Images and Videos Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:56:25.450729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a79ed7bd-6687-42fe-aad5-1f16f47012a6 · inbound

SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality cites this paper.

SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:43.990171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1293d61a-7df5-4c3d-9122-b77fd1ae90df · inbound

Efficient Track Anything cites this paper.

Efficient Track Anything Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:47:49.929237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac44c3a5-035b-4a91-afa1-85f0d5f30866 · inbound

SAFIRE: Segment Any Forged Image Region cites this paper.

SAFIRE: Segment Any Forged Image Region Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:07.161460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad8b8b23-25b2-4ab0-a292-2eb3db43ea0e · inbound

MR-GDINO: Efficient Open-World Continual Object Detection cites this paper.

MR-GDINO: Efficient Open-World Continual Object Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:59:45.566095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199cc126-3032-42d6-911b-408a9db64852 · inbound

When SAM2 Meets Video Shadow and Mirror Detection cites this paper.

When SAM2 Meets Video Shadow and Mirror Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:41.310768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab959ea8-f864-42fe-985e-15e657d4e11c · inbound

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation cites this paper.

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:48:10.952102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e1e6b31-7753-41b6-93cc-33e22bc37f4a · inbound

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement cites this paper.

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T14:29:00.675302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119a3fb6-2a9a-4855-8f73-8ebb70a8d574 · inbound

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance cites this paper.

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:07.653311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f389956-5beb-4d7a-934d-035cd88744f6 · inbound

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance cites this paper.

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:06.060649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c1cd60-5176-4719-b833-49d0409e42cc · inbound

Segment Concealed Objects with Incomplete Supervision cites this paper.

Segment Concealed Objects with Incomplete Supervision Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:57.837129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb0b76f-fe6d-4562-a48f-1142601291dd · inbound

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts cites this paper.

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:07.943045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca008ae-81d6-454e-b188-3f093be001e1 · inbound

SAM4D: Segment Anything in Camera and LiDAR Streams cites this paper.

SAM4D: Segment Anything in Camera and LiDAR Streams Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:28:14.554591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61745903-eb92-4f82-a915-507c9814e9a7 · inbound

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment cites this paper.

LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:47.964749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419e7383-b2b9-4c49-ab0e-8728850275ec · inbound

ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection cites this paper.

ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:57:47.786470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4e7ffd-2733-4587-baef-9fd5cbc1b7f0 · inbound

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:13:13.263017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7dbf7ea-a04c-4c8c-8566-38acf14b013b · inbound

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance cites this paper.

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:40:58.936692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9f5583c-8855-408b-87be-cbaf914e2c3a · inbound

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance cites this paper.

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:24:02.123126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.