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Paper Citation Record · LEDGER

Anomaly Detection with Conditioned Denoising Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.15956.

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

pith.paper-citation-record.v1
2305.15956 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 2026-08-07T15:41:33.602124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:29:09.975471Z

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 156fd42b-b191-47c0-ae9b-5639ffc3222b · inbound

AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis cites this paper.

AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis Anomaly Detection with Conditioned Denoising Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:33.602124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:33.602124Z digest=sha256:e43f3a5ec1353faa9e22c660fe6c7bb30e15ca9542927391bb86e4b9ce21da4b

Observation 28d1f063-559c-4551-8de1-f07267c3b7bd · inbound

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays cites this paper.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Anomaly Detection with Conditioned Denoising Diffusion Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:20.068878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:20.068878Z digest=sha256:a6a5f54eb7d4c54cb1db4a925eb39c3dd0bd0872c078e5eb59a764600e1a06f8

Observation e73c4392-f3e5-46e3-ad95-133f49c27e78 · inbound

Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation cites this paper.

Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation Anomaly Detection with Conditioned Denoising Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:39.937051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:06:39.937051Z digest=sha256:52ba386707d88b69dce00a2acf6944961c1bd8d0e0857b0523da36ff3f346c60

Observation 6b15d565-c6ae-4f82-b3da-547b3db8c6ea · inbound

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline cites this paper.

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline Anomaly Detection with Conditioned Denoising Diffusion Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:29:10.038707Z

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.

source=pdf_text observed=2026-08-07T10:29:07.334181Z digest=sha256:de6f71df8e694f89b8138b74d8e7866b3e508baccaeda1ca9177e4e09f38f736