Paper Citation Record · LEDGER

Bayesian Flow Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.07037.

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

pith.paper-citation-record.v1
2308.07037 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:54:11.608344Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3d61ea5d-043e-4fe7-8ba7-66d79f294861 · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Bayesian Flow Networks

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:42:55.217859Z

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.

Observation b78038ef-7bf1-429d-b8f5-e0cc015bc126 · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Bayesian Flow Networks

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:46:06.323058Z

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.

Observation 1c5bb96e-1dc1-4c1b-809e-6afb2f620e44 · inbound

Revisiting Sampling Strategies for Molecular Generation cites this paper.

Revisiting Sampling Strategies for Molecular Generation Bayesian Flow Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:54:11.608344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4451ff-5e25-4708-bb98-07bb0011641b · inbound

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows cites this paper.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Bayesian Flow Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:21.933613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f25aa06-62e0-4cdd-8d47-57555b558dc5 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Bayesian Flow Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:25.764496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca2ded4b-695b-4d3e-88e2-8254499b414b · inbound

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model cites this paper.

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model Bayesian Flow Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:46.261323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1489a1c-ec56-4a6e-90e1-6178cc11f26f · inbound

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation cites this paper.

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation Bayesian Flow Networks

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:20.835159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1de07c-f24c-4d5e-9d63-3bb1aa57fee1 · inbound

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference cites this paper.

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Bayesian Flow Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:17:50.352040Z

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.

Observation 5ca183c5-1d0b-49a6-9a86-257db7286feb · inbound

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration cites this paper.

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration Bayesian Flow Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:25:27.775723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c69cd2-ed52-462a-a63f-4119fccde7ff · inbound

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models cites this paper.

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Bayesian Flow Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:05.155137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9514e4-22b6-42f7-a989-d18e30833e39 · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation Bayesian Flow Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:45:33.084637Z

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.

Observation d9b71b31-6bc7-40f6-bca5-6e85461ca7d8 · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models Bayesian Flow Networks

Reference 236

Resolution: verified exact; arxiv_id, observed 2026-05-08T20:59:11.882262Z

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.

Observation 7ddf0001-b3ec-470b-95d0-53afa48d798d · inbound

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models cites this paper.

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models Bayesian Flow Networks

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:35:59.318624Z

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.

Observation 2c9ef482-46e2-424c-8c62-8452a3f51309 · inbound

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions cites this paper.

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions Bayesian Flow Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.297133Z

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.

Observation bed639e1-e0e6-486d-bf96-3d546977af23 · inbound

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention cites this paper.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Bayesian Flow Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.603331Z

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.

Observation 0901f203-6264-463d-933a-1e61eda33833 · inbound

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

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling Bayesian Flow Networks

Reference 201

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:26:24.908075Z

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.

Observation 1e4d5504-e379-46b1-bb54-0119f107afcc · inbound

Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering cites this paper.

Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering Bayesian Flow Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-30T11:53:54.862931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.