Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:cs/0701127.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:08:35.658190Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:16:00.862022Z
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 0d4eec6a-45e9-49f9-93d8-b0855afe282e · inbound
Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations cites this paper.
Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:08:35.658190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72b37b57-c683-4e14-bada-b735878ad96b · inbound
Machine Learning Force-Field Approach for Itinerant Electron Magnets cites this paper.
Machine Learning Force-Field Approach for Itinerant Electron Magnets A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:11:19.837202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c186974-c126-42fb-a0fa-30a1459425a7 · inbound
Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems cites this paper.
Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:57:06.751082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 646bbb44-f0a0-4830-bcdd-24de9c70edd7 · inbound
bispectrum: Selective $G$-Bispectra Made Practical cites this paper.
bispectrum: Selective $G$-Bispectra Made Practical A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T17:57:06.751082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.