Paper Citation Record · LEDGER

Anomaly Detection with Tensor Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2006.02516.

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

pith.paper-citation-record.v1
2006.02516 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 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:11:00.258328Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:29:00.687803Z

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 adb6792b-4c05-480f-8534-5de17464d94f · inbound

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms cites this paper.

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms Anomaly Detection with Tensor Networks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:29:00.692041Z

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 · inbound

Anomaly Detection from a Tensor Train Perspective cites this paper.

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 9e81c270-70cd-4b99-b06c-7d5d2831dd93 · inbound

Knapsack and Shortest Path Problems Generalizations From A Quantum-Inspired Tensor Network Perspective cites this paper.

Knapsack and Shortest Path Problems Generalizations From A Quantum-Inspired Tensor Network Perspective Anomaly Detection with Tensor Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:11:00.258328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf888770-e308-4f73-9c92-ca4a12276412 · inbound

SeeMPS: A Python-based Matrix Product State and Tensor Train Library cites this paper.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Anomaly Detection with Tensor Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T08:32:01.275985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764af9ae-7efe-4754-9c42-17dee61e564e · inbound

SMT-AD: a scalable quantum-inspired anomaly detection approach cites this paper.

SMT-AD: a scalable quantum-inspired anomaly detection approach Anomaly Detection with Tensor Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:25:52.829920Z

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 cde0081f-d903-4cef-9d5b-bc4c6868789a · inbound

Quantum-inspired tensor networks in machine learning models cites this paper.

Quantum-inspired tensor networks in machine learning models Anomaly Detection with Tensor Networks

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.109264Z

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 f97c978c-4a15-4592-bd4a-5820d9310d15 · inbound

Geometric Prototype Learning in Quantum Hilbert Space with Matrix Product States cites this paper.

Geometric Prototype Learning in Quantum Hilbert Space with Matrix Product States Anomaly Detection with Tensor Networks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:48:15.200672Z

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.