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Paper Citation Record · LEDGER

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03145.

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

pith.paper-citation-record.v1
2401.03145 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:10:42.125624Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:27:45.922711Z

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 3b4c79a2-e08b-4bb9-9edc-0d9367752e72 · inbound

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection cites this paper.

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T13:10:42.125624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:10:42.125624Z digest=sha256:d4048cc5a6424a5f5e1e1557209e1a52dce43adfecf2145c7b13eee610223d77

Observation 9cf59f2a-b747-4e3e-85c9-fb4652cba543 · inbound

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective cites this paper.

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T05:42:58.463373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:42:58.463373Z digest=sha256:3433ee0eb2f04251b87356b90bba87d804b818b651e6ada068e82b487cb0165e

Observation 73bc1ec8-870b-4e44-aa45-aaf8142d7270 · inbound

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables cites this paper.

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:27:45.929662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T23:27:45.871366Z digest=sha256:e24827337f170660bd30d75fb907494110af6bd896b65a22ed86ceabc7e2c8e8