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Paper Citation Record · LEDGER

Cormorant: Covariant Molecular Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1906.04015.

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

pith.paper-citation-record.v1
1906.04015 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:59:55.032554Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

143
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0504efcc-346f-420d-892e-051ffc15f118 · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Cormorant: Covariant Molecular Neural Networks

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.466252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:25b133773cee36724a2256345cf2bb669d132322021b724b4a2f7348f3c3b7b0

Observation 2a1a0359-94f8-4714-ae1c-07d74074dc45 · inbound

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing Cormorant: Covariant Molecular Neural Networks

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:02:31.452084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:01:16.498310Z digest=sha256:35ccc8629a25baa7f7d8e93d15cc55f13af8ee388b6f12483ea9a29338ed0ee6

Observation 72c9f1d1-ee3b-466b-95fc-30117d3bdbdf · inbound

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Cormorant: Covariant Molecular Neural Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:09:43.957490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T03:05:14.435776Z digest=sha256:d2cebfe49b18e322caf67e2a571f9612f29adbbfca7313726bc34288769272eb

Observation f4191173-46bc-4daa-8c74-1eee4b1f2d48 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Cormorant: Covariant Molecular Neural Networks

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:37:29.919698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:6790602bf3b0d72ed0dd58da8a885386b867ff779fe1e9812aefbead6200eb2a

Observation 21cd209d-8b99-4143-8a2c-95efecacf160 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Cormorant: Covariant Molecular Neural Networks

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T20:03:56.472701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T04:37:29.865733Z digest=sha256:e247c7e8999243e2ede404544c882476b6a553d2af18b226f9f9d73d1f249e94

Observation 8524f59a-3c39-4429-9820-107b2246e556 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Cormorant: Covariant Molecular Neural Networks

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:04:36.124298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T09:59:55.032554Z digest=sha256:22a060c63bbfa9d0711a10a12c5264ac724c813f11a92194ffaadb99bb079b7f