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Paper Citation Record · LEDGER

Improving Equivariant Networks with Probabilistic Symmetry Breaking

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.21985.

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

pith.paper-citation-record.v1
2503.21985 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:35:02.429514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.677565Z

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 ea495d88-f11b-4f15-bc41-749d09bf1ff0 · inbound

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems cites this paper.

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems Improving Equivariant Networks with Probabilistic Symmetry Breaking

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T16:35:02.429514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:35:02.429514Z digest=sha256:f1ca741d20877e95d3415d3b09db185ba347e3387c20056442ebad2259e7a906

Observation d075f1bc-57cb-49c4-8cb9-7cc7e4ab3e62 · inbound

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Improving Equivariant Networks with Probabilistic Symmetry Breaking

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:46:23.352138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T12:45:28.458804Z digest=sha256:e2fc51b1536ac255b8dd0fb53674ca47f8c2255d1a834aa62210de0bbd45051e

Observation cd8846c6-4804-4abb-ad85-f6c7644b63c8 · inbound

Platonic Transformers: A Solid Choice For Equivariance cites this paper.

Platonic Transformers: A Solid Choice For Equivariance Improving Equivariant Networks with Probabilistic Symmetry Breaking

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T12:27:30.751503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:27:30.751503Z digest=sha256:51db0eff60118ec0aa4d07eb784419ed1d3e6ad76ab0a12f45b4b8821db33d58

Observation c3a8634f-117c-4e2e-8923-ad006b307528 · inbound

MeshFlow: Mesh Generation with Equivariant Flow Matching cites this paper.

MeshFlow: Mesh Generation with Equivariant Flow Matching Improving Equivariant Networks with Probabilistic Symmetry Breaking

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.678958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T05:52:47.536542Z digest=sha256:d753c23a7047c91eed0652e19347907cdd09fd05871ce61ff30b755b4748d3a7

Observation 6fb654e6-ea41-4405-8948-0574d2b1b73d · inbound

Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks cites this paper.

Automorphism-Induced Non-Canonicity in Top-k Explanations of Graph Neural Networks Improving Equivariant Networks with Probabilistic Symmetry Breaking

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T00:15:50.858811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:15:50.858811Z digest=sha256:f552e7835f15f305c521fecf1a5c25705b3d65d1e39029ea3ad9ede65d6c78c2