Paper Citation Record · LEDGER

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.00754.

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

pith.paper-citation-record.v1
2307.00754 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:54:27.396467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:08.414225Z

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 605aec33-1fdc-4bb5-b2f8-ba52709430b1 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:27.396467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921d7759-ac82-4aef-abcc-83401c188f35 · inbound

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series cites this paper.

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T19:56:10.910977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49da31f-03cb-4b97-b407-8b5ea9a602fb · inbound

Multimodal Diffusion Forcing for Forceful Manipulation cites this paper.

Multimodal Diffusion Forcing for Forceful Manipulation ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:35:32.926094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a9df95b-b22a-4927-9c64-b3f78df05fc5 · inbound

Learning Unified Representations of Normalcy for Time Series Anomaly Detection cites this paper.

Learning Unified Representations of Normalcy for Time Series Anomaly Detection ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:26.569777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ffec000f-733d-4bfb-a8f3-ba6a22c80796 · inbound

POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection cites this paper.

POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:53:13.601999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e9aa5b83-fd62-4b6c-bd0c-6615a3b08176 · inbound

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection cites this paper.

TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:26.634569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bf6d0971-8e49-4193-9fdf-d5bfba94b5cf · inbound

Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning cites this paper.

Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:08.415865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.