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Paper Citation Record · LEDGER

Spherical Message Passing for 3D Graph Networks

As of 21 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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:05:04.518726Z

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=sha256:674dbe6262e1b05c615e97c17b3fbacd1eed93b1390720c56f9b665c782b9d77

Observation 23a42795-5c2a-416e-a75a-e640c40dded3 · 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 2026-08-15T19:05:04.518726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:05:04.518726Z digest=sha256:63093818c1d33f790b71c998c3965e477dc9124b8c9f87a4b753cbd8e50f99f2

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=sha256:1287cbc3c06db6f0a740adb978efb5aafaf983512db0e5300734e4beaf5c23d2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:bd721ddf0e07c5a50ff380965906abfeff6552f8854d068638ddf99528b6bb6c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T20:00:57.283053Z digest=sha256:4814acac33e66e9e72728ebe27da7b6a76f22e32cb6756fea96a6ad26fca79e3