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Paper Citation Record · LEDGER

Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.04313.

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

pith.paper-citation-record.v1
2302.04313 v6

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 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:52:11.130027Z

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

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 83928b6f-6471-4cf4-b7be-ff4a68fcda1b · inbound

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation cites this paper.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:52:11.130027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:52:11.130027Z digest=sha256:befb09975fc44cf860da5f1299c7257887f47f97b9a9ef0773b43a9a1ebef106

Observation 2e02644b-75ef-434b-96e8-af90fc558c40 · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:12:00.166952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:12:00.166952Z digest=sha256:1738cb1c250c208b8b085a63734bdd50ab046d3dd3cb9c25a8a255f440b9725c

Observation f251e724-93e7-4e9e-99a7-e181764de375 · inbound

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-04T11:33:29.894191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-04T11:28:55.404128Z digest=sha256:4ce43ea718ca2d286801c62efbb0918b198ca0a24deedf3ce143ca4c25407cae

Observation e2de10b7-df3a-48bd-ae19-fb8685b0bdb7 · inbound

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics cites this paper.

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T12:05:54.442913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T12:05:54.442913Z digest=sha256:f3b9a5e4763db43e8c74aa598b875e7ff6c7ea3b6e1bc118274816111983e055

Observation 174c2bdc-44da-4acf-920a-73bb92f53289 · inbound

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning cites this paper.

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T22:02:30.242538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:02:30.242538Z digest=sha256:50d04c229de0be822f9f92ebf9f98c2eed001af36d5dfeccadc797cb5d669e00