Paper Citation Record · LEDGER

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.14088.

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

pith.paper-citation-record.v1
2403.14088 v2

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:17:30.275265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T20:36:50.206548Z

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 fa9356d3-0516-4b48-a4ee-92b88dcd9b47 · inbound

Aligning Protein Conformation Ensemble Generation with Physical Feedback cites this paper.

Aligning Protein Conformation Ensemble Generation with Physical Feedback Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:44.508994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665d4c72-2bf1-45b4-9846-dd760ecaa9f4 · 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 Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:17:30.275265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ed823e-f33e-4ae4-9050-4016b09aff32 · inbound

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping cites this paper.

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T04:25:44.307753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2f7e1b4-03f7-41aa-9d2c-423735e46cac · inbound

Learning residue level protein dynamics with multiscale Gaussians cites this paper.

Learning residue level protein dynamics with multiscale Gaussians Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:36:50.210363Z

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.

Observation 1e7ef5fe-7fc3-492d-a5bb-339875ad81d7 · inbound

ConforNets: Latents-Based Conformational Control in OpenFold3 cites this paper.

ConforNets: Latents-Based Conformational Control in OpenFold3 Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:03.707120Z

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.

Observation a0cf5061-2c03-4714-a964-7a2914b82f67 · inbound

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics cites this paper.

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:13.536347Z

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.