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Paper Citation Record · LEDGER

Spherical Message Passing for 3D Graph Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.05013.

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

pith.paper-citation-record.v1
2102.05013 v5

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:21:13.361209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:09:22.458847Z

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 572f288f-81ad-48c8-8733-573c6a7088d4 · inbound

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking cites this paper.

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking Spherical Message Passing for 3D Graph Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T20:21:13.361209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:21:13.361209Z digest=sha256:8c8f0b5c77c6f18b7cf6fe687d25d2f7c54cab282af871ccbefebfb668b7a671

Observation ed78125f-739c-4639-ab14-0e36d26463ad · inbound

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty cites this paper.

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty Spherical Message Passing for 3D Graph Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:29:06.716617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:29:06.716617Z digest=sha256:df6941628d7cc6f800f8ecc801360cc58e70e8b013df4f3fe9126a6467e792f5

Observation dde43dd0-0393-4be9-acc6-265458c3a045 · inbound

OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems cites this paper.

OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems Spherical Message Passing for 3D Graph Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T20:06:40.186959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:06:40.186959Z digest=sha256:8319c79d84d4e59eff145fa1fec03563e4ffa10dec55cca0a37bc4bc735b7487

Observation ea7e7855-0789-466b-a5d6-07926f80a2a2 · inbound

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry cites this paper.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Spherical Message Passing for 3D Graph Networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:56:25.102120Z

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=2026-05-15T17:53:24.803856Z digest=sha256:3d451f3b8002abf991fa66741caa44fe358d7db5e6f453d4fb24c7c60a0e817b

Observation 8a0d25e2-a2f8-41b5-8f3d-615abc184e8f · inbound

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening cites this paper.

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening Spherical Message Passing for 3D Graph Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:09:22.460680Z

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=arxiv_source observed=2026-06-26T20:00:57.283053Z digest=sha256:16080653fce81989410eb137a324a9a5767febcce9558297d4cb73febc86c473