Pith. sign in

Paper Citation Record · LEDGER

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.01276.

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

pith.paper-citation-record.v1
2311.01276 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T18:33:45.653932Z

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

0
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 cc69fdbd-8c09-4c8a-8f24-7031d0443a44 · inbound

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

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:37:19.183128Z

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=2026-06-27T21:27:50.941166Z digest=sha256:60aead3f283fd556c00051cdc3ec8aa3d06357e776528c34f513626d300b8076

Observation 7b9235d5-b751-46c2-8cda-70669d704a3a · inbound

Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes cites this paper.

Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:31:11.020442Z

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=2026-06-27T15:13:34.548481Z digest=sha256:4b9309c7026a6b533b0cc4e6f4eaed9d0368524ceecd0f844660bde1a515f0f9

Observation 2d39b457-6a7c-4f5c-9936-96ac80d2240b · inbound

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning cites this paper.

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-31T18:33:45.653932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:33:45.653932Z digest=sha256:ddec2a3b36e2243d12f6821c5de93143d4430dd0f720c4d0b679e9e500bc18f8