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Paper Citation Record · LEDGER

Equivariant Networks for Crystal Structures

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.15420.

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

pith.paper-citation-record.v1
2211.15420 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:19:36.150340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:45.169369Z

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 043f2046-2e1a-46f4-8dda-2daf0bf800ba · inbound

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories cites this paper.

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories Equivariant Networks for Crystal Structures

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:24:42.996187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T23:23:58.393661Z digest=sha256:66bd7b61ce3de22d903bbbf4e305aa3a10e7ca7071c725bb46648dc03d477c19

Observation 3bb2ce52-171d-4986-ba80-cfc037b45182 · inbound

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets cites this paper.

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets Equivariant Networks for Crystal Structures

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.170701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T11:20:52.544289Z digest=sha256:7f934a8564deda7d07e06aaeb8cf2eb40c6dae7653b84a731204bba5b9ed6d09

Observation aac4f981-1d02-4e03-88bc-baf8b97057fa · inbound

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets cites this paper.

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets Equivariant Networks for Crystal Structures

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-31T04:19:36.150340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:19:36.150340Z digest=sha256:2b2d5b4dc8242023e57b1ac98cfda70328a7b9d2de8de42e749f1fbe450fd8dd