Paper Citation Record · LEDGER

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.04769.

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

pith.paper-citation-record.v1
2412.04769 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:58.338595Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:40:09.786310Z

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 cc592adb-c164-4a53-8a7e-be9bdc7acea0 · inbound

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

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:58.338595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cd3415-1a80-40f2-87bb-1e6be6d3073c · inbound

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment cites this paper.

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:47.940119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff02cf4d-2a46-4650-a861-d3845cfaaf4e · inbound

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO cites this paper.

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:40:09.791610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04989302-31d5-45e9-b08b-b98964c79042 · inbound

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning cites this paper.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:56:41.441789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.