Paper Citation Record · LEDGER

Anomaly Detection from a Tensor Train Perspective

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2409.15030.

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

pith.paper-citation-record.v1
2409.15030 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:42:43.521145Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact12
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7161c7d0-89df-4521-95e8-ce8d4a76e16d · outbound

This paper cites Supervised Anomaly Detection for Complex Industrial Images.

Anomaly Detection from a Tensor Train Perspective Supervised Anomaly Detection for Complex Industrial Images

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:25.197547Z

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.

Observation 80a82ee6-d6e5-4be2-84a0-f69f3f4fc10d · outbound

This paper cites Patchcl-ae: Anomaly detection for med- ical images using patch-wise contrastive learning-based auto-encoder.

Anomaly Detection from a Tensor Train Perspective Patchcl-ae: Anomaly detection for med- ical images using patch-wise contrastive learning-based auto-encoder

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:24.680668Z

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.

Observation 544641ce-24e4-47ae-be1a-11106ebdcef6 · outbound

This paper cites Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments.

Anomaly Detection from a Tensor Train Perspective Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:25.192894Z

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.

Observation 43167118-40e3-4932-91f1-0a725fecbff3 · outbound

This paper cites Anomaly-based cyberattacks detection for smart homes: A systematic literature review.

Anomaly Detection from a Tensor Train Perspective Anomaly-based cyberattacks detection for smart homes: A systematic literature review

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:24.709424Z

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.

Observation ea1a414a-be8e-49cf-8f3e-dd0bcb25ebdd · outbound

This paper cites Pascha- lidis.

Anomaly Detection from a Tensor Train Perspective Pascha- lidis

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:24.716849Z

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.

Observation 863ab82c-9a99-40e6-b0af-3b17a773a9ba · outbound

This paper cites Machine learning for anomaly detection in par- ticle physics.

Anomaly Detection from a Tensor Train Perspective Machine learning for anomaly detection in par- ticle physics

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:24.693696Z

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.

Observation 6ebf6804-cf64-474f-8eb3-b2635225180e · outbound

This paper cites Deep learning for anomaly detection.

Anomaly Detection from a Tensor Train Perspective Deep learning for anomaly detection

Reference 7

Resolution: verified exact; doi, observed 2026-05-23T20:43:24.665369Z

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.

Observation aea29360-c6fb-4964-9dbd-43ae765f2011 · outbound

This paper cites A Tutorial on Principal Component Analysis.

Anomaly Detection from a Tensor Train Perspective A Tutorial on Principal Component Analysis

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:43:25.181836Z

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.

Observation 579766b4-5173-4ac1-98e1-26db83a382a7 · outbound

This paper cites Tensor networks in a nutshell.

Anomaly Detection from a Tensor Train Perspective Tensor networks in a nutshell

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:43:25.971247Z

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.

Observation fdb028a4-62ea-4598-9ce3-71433c51d1cd · outbound

This paper cites Perez-Garcia, F.

Anomaly Detection from a Tensor Train Perspective Perez-Garcia, F

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T20:43:25.974820Z

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.

Observation 5b3982c6-65ed-4f52-9214-07093dc990ab · outbound

This paper cites Advances in Physics , author =.

Anomaly Detection from a Tensor Train Perspective Advances in Physics , author =

Reference 11

Resolution: verified exact; doi, observed 2026-05-23T20:43:24.647934Z

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.

Observation 84c0d731-ac72-4b14-b8da-6bb096d7fda5 · outbound

This paper cites Anomaly Detection with Tensor Networks.

Anomaly Detection from a Tensor Train Perspective Anomaly Detection with Tensor Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:25.187670Z

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.

Observation d239e93e-0b3d-4f8f-980b-c5fe0960be06 · outbound

This paper cites Alpaydin and Fevzi.

Anomaly Detection from a Tensor Train Perspective Alpaydin and Fevzi

Reference 13

Resolution: verified exact; doi, observed 2026-05-23T20:43:24.721822Z

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.

Observation 0661ecfc-207a-4225-9386-179d070b1e31 · outbound

This paper cites Samaria and A.C.

Anomaly Detection from a Tensor Train Perspective Samaria and A.C

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:24.701714Z

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.

Pith citing papers

No inbound Pith citation observations are available.