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Paper Citation Record · LEDGER

Equivariant Symmetry Breaking Sets

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.02681.

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

pith.paper-citation-record.v1
2402.02681 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:23:02.825224Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:19.059808Z

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 62eefe26-cb5d-48b5-a198-c2a123ae815e · inbound

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach cites this paper.

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach Equivariant Symmetry Breaking Sets

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T15:23:02.825224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:23:02.825224Z digest=sha256:b4ebff57707c9d3cae168f3c499039458aed92531b6b132bfc1170af4e58d6ae

Observation 48519479-59b9-4d95-8c22-3a8ac2ab6409 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Equivariant Symmetry Breaking Sets

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:37:19.061270Z

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.

source=pdf_text observed=2026-06-27T21:27:50.941166Z digest=sha256:c93fc69c1510f9ce3ec0378c09ed8e933ba1d182f5364e26b661562f1a4a0820