Paper Citation Record · LEDGER

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.12665.

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

pith.paper-citation-record.v1
2401.12665 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:19.739469Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:06:25.631440Z

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 469d2ed2-9f72-433d-9eb8-935a6acea737 · inbound

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning cites this paper.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:26:30.652790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3851f3e4-ec8f-4f13-b466-3fd16a273282 · inbound

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP cites this paper.

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:07:34.699824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c726c314-afab-44d8-b885-270fc2f65ff7 · inbound

Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts cites this paper.

Char-SAM: Turning Segment Anything Model into Scene Text Segmentation Annotator with Character-level Visual Prompts ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:52:15.162369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c33fa5-a124-4440-a21a-009e6a405299 · inbound

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models cites this paper.

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T16:13:53.339999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33d49e72-a10e-42b5-808f-2652dcfee332 · inbound

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation cites this paper.

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:19.739469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f76acdc-9e90-419c-bd70-d3c7f24f29cd · inbound

TAGS: 3D Tumor-Adaptive Guidance for SAM cites this paper.

TAGS: 3D Tumor-Adaptive Guidance for SAM ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:28:36.790692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e9f0a7-9cb8-4929-a6d1-90e42b6d4bf5 · inbound

StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection cites this paper.

StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:28.401770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe160ae-13f8-4435-baf3-d27e065c7463 · inbound

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning cites this paper.

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:48.132799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd212ae-a602-4c7a-a7c1-022a765caddc · inbound

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts cites this paper.

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:06:25.635748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a9d8b5f-c52d-4b30-8412-bf90e4355719 · inbound

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM cites this paper.

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:24.757882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f575efb-f2a9-4e4a-9863-a09929323b0d · inbound

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification cites this paper.

CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:01.278034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.