Paper Citation Record · LEDGER

Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.23794.

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

pith.paper-citation-record.v1
2503.23794 v1

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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:37.280474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:58:15.098384Z

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 4419d0dc-ce29-4c5c-9d4e-fba77c612e35 · inbound

Predicting Thermodynamics of Liquid Water from Time Series Analysis cites this paper.

Predicting Thermodynamics of Liquid Water from Time Series Analysis Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:37.280474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ebd9ff-619c-45e2-986d-f1ee4c85cc72 · inbound

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling cites this paper.

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T10:01:13.633627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69fe21a8-d026-43a6-bc7f-11cd23b32f8f · inbound

A Priori Sampling of Transition States with Guided Diffusion cites this paper.

A Priori Sampling of Transition States with Guided Diffusion Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:58:19.012212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31758002-6b4b-49ec-9196-c8b2d8d9f4f5 · inbound

Generative Pseudo-Force Fields for Molecular Generation cites this paper.

Generative Pseudo-Force Fields for Molecular Generation Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:58:15.099945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf62372e-1ece-4c32-a578-0d5bcdc18c55 · inbound

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations cites this paper.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T12:39:54.655889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.