Paper Citation Record · LEDGER

Image compression and entanglement

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:quant-ph/0510031.

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

pith.paper-citation-record.v1
quant-ph/0510031 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:28.843928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 052463ea-ca3f-4914-9b14-28532802b816 · inbound

Preparation Circuits for Matrix Product States by Classical Variational Disentanglement cites this paper.

Preparation Circuits for Matrix Product States by Classical Variational Disentanglement Image compression and entanglement

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:01:54.608918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a769d864-a96b-404e-a4f2-fa046a0e9ff9 · inbound

Solving MNIST with a globally trained Mixture of Quantum Experts cites this paper.

Solving MNIST with a globally trained Mixture of Quantum Experts Image compression and entanglement

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:28.843928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269a0c33-b042-4575-88ac-a5d6a44d3921 · inbound

Technical report on a quantum-inspired solver for simulating compressible flows cites this paper.

Technical report on a quantum-inspired solver for simulating compressible flows Image compression and entanglement

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:16.761698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f2e2dc-a8cc-44f3-b66c-fb6b77e91b9d · inbound

Quantics Tensor Train for solving Gross-Pitaevskii equation cites this paper.

Quantics Tensor Train for solving Gross-Pitaevskii equation Image compression and entanglement

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:23.480606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535abbe4-ef20-4b48-9fd7-4dd8aaabdac2 · 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 Image compression and entanglement

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T08:31:58.711565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32abd79-deb8-4a28-a85e-bc258fcc8d97 · inbound

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation cites this paper.

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation Image compression and entanglement

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T20:03:58.668785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbedf4c-171f-4fb3-b799-0fa3133ef61a · inbound

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

Quantum-inspired tensor networks in machine learning models Image compression and entanglement

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.134992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c4ce343-ab91-49df-9696-bc814e590d14 · inbound

Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning cites this paper.

Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning Image compression and entanglement

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:56:10.576188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fc25999-f10e-429b-9492-c21a829cbdbd · inbound

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder cites this paper.

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder Image compression and entanglement

Reference 31

Resolution: malformed identifier; local_arxiv, observed 2026-06-29T02:12:59.809287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.