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Paper Citation Record · LEDGER

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.15441.

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

pith.paper-citation-record.v1
2403.15441 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:01.628714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:26:24.944950Z

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 91dec0e6-9c81-4420-9387-d70135b77784 · inbound

Applications of Modular Co-Design for De Novo 3D Molecule Generation cites this paper.

Applications of Modular Co-Design for De Novo 3D Molecule Generation Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:01.628714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:01.628714Z digest=sha256:a111fd4b30b393e56f2b9ab4831cd43a36b429467465c108a7e875f6a7368584

Observation 793ab057-c9d4-4523-b897-a9c778445442 · inbound

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling cites this paper.

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:26:24.946430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T11:58:18.626259Z digest=sha256:ffafbc2c927125c0946e1b2c0220b73d732043a9dbfef1ab047ac8c7da222395