Paper Citation Record · LEDGER

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:25:04.914332Z

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 bff4cd24-358c-4fb6-bd4c-a9583b124718 · inbound

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule cites this paper.

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T22:25:04.914332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db24c4d1-6394-4c96-ae3d-21fc9868e992 · inbound

Scalable Autoregressive 3D Molecule Generation cites this paper.

Scalable Autoregressive 3D Molecule Generation Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:06.279088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-17T06:30:58.91139+00:00.