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Paper Citation Record · LEDGER

Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.03888.

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

pith.paper-citation-record.v1
2408.03888 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:34:44.689852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:15:18.074071Z

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 d14cddd9-8d45-44e1-94f0-9e8cc2a2f3ea · inbound

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection cites this paper.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T14:34:44.689852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:34:44.689852Z digest=sha256:d1791af619ead2f74634f23e7109f968bad9c3696cace77a7019a0f43d359d32

Observation 1ea6633b-d1eb-4ce1-a079-be689891f885 · inbound

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection cites this paper.

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:15:18.077119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:12:34.253608Z digest=sha256:cefe9dc0bde4d63a2ecfa75d5a2ab004f6a27a5d4a1b2f963c6f1dc88355fb00

Observation 72179190-6d46-40fc-b34e-3a09670b257e · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:35:09.535150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T06:31:37.152724Z digest=sha256:2652fc86b3b6dc8302910628c3db004e80c5086f5c602d13d7a2413e7b64c582