Paper Citation Record · LEDGER

Segment Any Anomaly without Training via Hybrid Prompt Regularization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2305.10724.

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

pith.paper-citation-record.v1
2305.10724 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:57.206576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:43:23.424586Z

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 6345bb97-637b-4dba-aaa2-12e76de80476 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.427692Z

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.

Observation 2627b121-1dfc-46e9-b2da-d99912abc3e8 · inbound

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:57.206576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7fed61d-21a5-43b6-a2ca-1e98c712a0e5 · inbound

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding cites this paper.

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:10.657850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114501ed-7062-4436-9b55-7d5d58f6b26f · inbound

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain cites this paper.

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:33.651441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb5c67c-4239-422b-9ea9-4cc960841783 · inbound

Anomaly Object Segmentation with Vision-Language Models for Steel Scrap Recycling cites this paper.

Anomaly Object Segmentation with Vision-Language Models for Steel Scrap Recycling Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:25.970590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9145053-1984-4fb8-9cf4-693e1e2b2947 · 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 Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:26.817027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd10c94-7f5b-4916-9bbf-1cebbcd3b111 · inbound

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

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:24.386401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75466d63-1c17-42cd-a491-c56ded15098d · 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 Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:24.760227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6917ce3d-6cb6-4f74-ad47-bbe75c2e1f0a · inbound

AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors cites this paper.

AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:47:45.444905Z

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.

Observation e06e62e5-fa2e-4b60-97e3-e2b687f1e00e · inbound

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator cites this paper.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-15T12:56:18.518533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.