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Paper Citation Record · LEDGER

EigenFold: Generative Protein Structure Prediction with Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2304.02198.

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

pith.paper-citation-record.v1
2304.02198 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:36.628780Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

39
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cc87bebe-456e-4ada-a14a-e96a14a02d3d · inbound

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation cites this paper.

Leveraging Diffusion Models for Parameterized Quantum Circuit Generation EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:36.628780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:36.628780Z digest=sha256:f071a246b5c16dce25cbf7690be7ad44264c019e8cef0cb61b607d21dd27e3f2

Observation 85f97501-46ae-429a-9e0b-ffbd88d030c2 · inbound

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

Aligning Protein Conformation Ensemble Generation with Physical Feedback EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:42.238141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:42.238141Z digest=sha256:d6a8a17c40dac8c3fc294c88ec721dd20df7dc74a89265b7413a629814eb34ce

Observation 6463ed8a-d2ef-40c7-b769-ec85d019345d · inbound

Geometric Generative Modeling with Noise-Conditioned Graph Networks cites this paper.

Geometric Generative Modeling with Noise-Conditioned Graph Networks EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:08:43.008148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:08:43.008148Z digest=sha256:07ea85495a12ad7bf171a5f62f66ef4f4b146623f20e675be41ce200b15c271c

Observation a77e455d-9843-4112-b596-515e6c6c9dbc · inbound

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow cites this paper.

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T17:56:04.816028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:56:04.816028Z digest=sha256:7c04fc3662469bcf5b7d25d7f889e820e481de94b414628069b302a87af414cf

Observation 3ba09226-d823-4a19-bdf8-afce0eba5de1 · inbound

Fold-switching Proteins cites this paper.

Fold-switching Proteins EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:29:21.975513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:29:21.975513Z digest=sha256:7717eefc2b5e2d211b73309ec9782fad3e52b69d9741d44c243457ce78af8163

Observation 90511b44-f271-4f38-b41b-8f91ca74abee · inbound

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:20:28.591120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:19:33.319408Z digest=sha256:5b647a049dc83d321a50c7cc5643a9729becd5d6ea8854e1dca5efc05a00b615

Observation 7d85d5d7-7700-4ed3-bf83-7eac0c7ebf36 · inbound

ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning cites this paper.

ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:12:59.102135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:11:30.574268Z digest=sha256:93e51c38f42b4c741de86b0e9dc45670f72931656dbfb76467feab43f6423296

Observation c584586f-38c5-4565-aaa6-6a390c46cf76 · inbound

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models cites this paper.

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:52:44.553720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T22:45:51.153034Z digest=sha256:622f7de2d96a4c195fa07c121eb18f9eec144412f250902249ee3487560b996f

Observation a683aa09-c5e8-45cf-99be-2b23e9deba5a · inbound

Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching cites this paper.

Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 187

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:56:27.514934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T11:27:09.394108Z digest=sha256:de520bf4e5d730631e06fe4ce837ca21c1b594f77322ae96890a3da372ff54e3

Observation f19f3674-e550-4f69-ae46-615061003225 · inbound

Spectral Diffusion for Protein Dynamics cites this paper.

Spectral Diffusion for Protein Dynamics EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-07-11T21:27:22.768274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T21:27:22.768274Z digest=sha256:a5d88463e8873fc9e73d3a9501c10027b3cd445e0f298dda1aae6af4e63ac2a5

Observation 292aca00-fac8-4111-8d1f-be6dd81dfab1 · inbound

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models cites this paper.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.079430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:a4436451622fac56a64aed99435fcbfe04ab199bda168253ca506131e5cf95a4

Observation 846f8a84-240c-45e7-bce0-3ec40cc1ccb9 · inbound

DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales cites this paper.

DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T03:49:56.359641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:49:56.359641Z digest=sha256:a487e2cf697ed8ae105dbd3df906dd9fca6574f4a25affe03c9f8d12e781f69e