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Paper Citation Record · LEDGER

Bayesian Flow Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:02:08.929623Z

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
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  • 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 4973b8ef-1525-4c19-8e92-b6cb91e989a0 · inbound

Steering Protein Family Design through Profile Bayesian Flow cites this paper.

Steering Protein Family Design through Profile Bayesian Flow Bayesian Flow Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T12:02:08.929623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:02:08.929623Z digest=sha256:ff703b3b277c2c7d91963fc748f1767806c74f4699f5fe4bbae5abfedffdbff4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:daaf886bc357308c9c5397b052408cd39a1cf5230ff7ae35bd1217e52bc51a83

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T03:46:06.074416Z digest=sha256:c8f4b518d46564b7f593bf6d925b3ee8a903ec120fe535b8b4b17e2c0772f83e

Observation 088c4e74-d84b-4948-bdd1-24d539c2d4fd · inbound

Discrete Markov Bridge cites this paper.

Discrete Markov Bridge Bayesian Flow Networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.588399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:13.588399Z digest=sha256:15f49058ee639abf3444ca516063db78a9e3a576cdcc8fa45dcdf1769a744810

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.

source=arxiv_source observed=2026-08-06T23:54:11.608344Z digest=sha256:69c58714e221eea675245c73684298cec0769db954f19f80cb30e5d5f2245aa5

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.

source=pdf_text observed=2026-08-06T21:24:21.933613Z digest=sha256:e2c4c0c5fab277810301524cf22218d6188dce8f820c3e7bbecc235a5c0c79e8

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.

source=arxiv_source observed=2026-08-06T19:14:25.764496Z digest=sha256:b913b6aa35c67c44dcedaa2de1a2abd4ed4161085a3dea4fb87a9bd36d0ab676

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.

source=pdf_text observed=2026-08-06T18:16:46.261323Z digest=sha256:8c64316003cbcc0bcd2685ec9d346dee28043172bc68a99bc64f2acd695623c9

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.

source=pdf_text observed=2026-08-06T16:27:20.835159Z digest=sha256:ba0bea63e2df5b3fee2c8ee5117bd6c0407a5ec1286155c4f06a695b3661596a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T16:17:50.215935Z digest=sha256:472a097f91fe34e1b2fc9a6cad69daed724c04c1a2e4f39743930704dfeb93d3

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.

source=pdf_text observed=2026-08-05T14:25:27.775723Z digest=sha256:1b572cafe935d4a411cb843c06d2247cdfb7eb826661a71d9a09b02deb1beefe

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.

source=pdf_text observed=2026-08-04T22:56:05.155137Z digest=sha256:4a34210e332681a81d53b709143c0fc969f40a713d4fd6d94ae2ddd8f96f715f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:19371033eba34e0b0950a3b0d238ce87c88661983a58a67f7e8f24dcdb70719f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T15:49:33.695290Z digest=sha256:ecb1e723344247a63ec6c7c6897f4fc92347b3ccbf464722d3a43d3ed3215124

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:12:25.837672Z digest=sha256:d9a5d87cf847b780064c60ed743cb30de7e91c2cf28011dabe0ec35352e5cf51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T20:59:55.644530Z digest=sha256:2f5e3c540912ad51866cfd06e28ba426dadb4da16d44b7718b11e642ba38a5bd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:52:14.089334Z digest=sha256:df1ab8ece563123447c06691de564bc325b510826a23b94f346784dfc0364875

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T11:58:18.626259Z digest=sha256:5c6865c716ef9908d1a27336692e852fe7e9da04f49eff79ba8558455f1a2e7b

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.

source=pdf_text observed=2026-07-30T11:53:54.862931Z digest=sha256:fa8b5e785dc3b1dd28b149fb123ded5cd1ad95a361b06d55eb179f228dad7a03