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Paper Citation Record · LEDGER

PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.02839.

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

pith.paper-citation-record.v1
2504.02839 v2

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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:17:30.495499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:55:04.021574Z

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 c7de2799-23c0-4b10-bbff-7c4df4f8349b · inbound

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings cites this paper.

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T19:17:30.495499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:30.495499Z digest=sha256:992f09edc9815a6ef84b9c90c0439607191f453322a526ec3c7e8e730c03228f

Observation 1ece9cd2-ad09-4f69-9f1f-ac4b98169fcb · inbound

ENSEMBITS: an alphabet of protein conformational ensembles cites this paper.

ENSEMBITS: an alphabet of protein conformational ensembles PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:17:52.033013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T19:11:29.935218Z digest=sha256:ddfff5cac4f3d5a85958b7cc24521caa348051449f5fea3aed5b8e4fedb65ee4

Observation 436d3ade-43a5-4170-b055-f63b5acd6513 · inbound

ENSEMBITS: an alphabet of protein conformational ensembles cites this paper.

ENSEMBITS: an alphabet of protein conformational ensembles PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:17:52.033013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T04:51:32.821791Z digest=sha256:7d6b2b78a3f49ec36990a6061f146356aa08ed99448e14ddb6e7100eae206ab9