Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.04709.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:57.837129Z
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.
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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.