Paper Citation Record · LEDGER

Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.15939.

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

pith.paper-citation-record.v1
2308.15939 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:15:53.358917Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:54:21.690886Z

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 b6dbf93b-5b9a-4dd4-ba18-1f95b58c4c1f · inbound

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models cites this paper.

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T12:15:53.358917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0febdc3c-9c16-4ecd-a394-9802242b9e9c · 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 Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:40.057841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce5f8a8-49e6-4604-b85e-d43d652d0002 · 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 Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:27.369227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063436d4-c97c-46b5-84d5-29326d29da57 · inbound

Anomalous Decision Discovery using Inverse Reinforcement Learning cites this paper.

Anomalous Decision Discovery using Inverse Reinforcement Learning Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:55.913470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b402ebe2-259f-4891-8070-d5c0db80d72f · inbound

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling cites this paper.

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.765442Z

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 c3fb9dff-ed08-412f-84ba-8af3d482f827 · inbound

Robust Zero-shot Anomaly Detection under Limited Auxiliary Anomaly Priors cites this paper.

Robust Zero-shot Anomaly Detection under Limited Auxiliary Anomaly Priors Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:54:21.692512Z

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.