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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 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:47:39.743088Z

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

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  • malformed identifier0
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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 04930127-db61-4db1-9ac8-06bfb812f210 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Bayesian Flow Networks

Reference 32

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unresolved
no resolver link, observed 2026-08-09T13:47:39.743088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:47:39.743088Z digest=sha256:fab982f4b9bb9c064cb3a24d37f231172b297d0532663252dfaaa7e668846b73

Observation b3f3ffc7-78e8-4ddb-a78c-3ffedd550d07 · inbound

Symmetry-Aware Bayesian Flow Networks for Crystal Generation cites this paper.

Symmetry-Aware Bayesian Flow Networks for Crystal Generation Bayesian Flow Networks

Reference 8

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unresolved
no resolver link, observed 2026-08-09T05:47:49.998436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:47:49.998436Z digest=sha256:e66e83d78715484fc099c5049fc6381b1c88d811ff2119ca6eeb9fd81c5e80c4

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=sha256:3d096ed9e9c12b1655f7d1c0537b1db33961346d3c1b3bca9601dd2376bc9a71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:c53b27fc0f8479e38338c218505830590174c03b10e2a3fd9cf29ddfebddcfc9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T03:46:06.074416Z digest=sha256:0f77ebfc0239192eef08889bd246fb296b486a98e5c0b80ba20734b50a85aebd

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=sha256:04066fa7cc771f617dcf4b6ff0949e6161575b28a067f2a4a8bf1da52fffe2c0

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=sha256:26a661fd90fd573d4f00d22a340633efbb5aa88280a67df389de54181c1e17ad

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T16:17:50.215935Z digest=sha256:734f95d5780f5baf62ebb0f6acab91660ccb81e3700a8fc9cd813a41a20b49a4

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=sha256:401ff816013748582446371fe9b8e5c770f66dbeeaacde6ea871056e3a53e1c3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:76cd94d050976db8fcc810d679bfcf4bca4727d3eb7a358ff0764519cdc52c1f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T15:49:33.695290Z digest=sha256:58bf6d3b7f083d85c90a020e35cc500f9b1879716c01d988ec874b6c9c13274b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:12:25.837672Z digest=sha256:7e4f7696e0e849a3d8bb1abb2e7e9f1eb51ffd83abf7c48dfa27102ffa937a0a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T20:59:55.644530Z digest=sha256:0b190ad987d5ec0b930de8534d72ff02360029d6760ea1975be839fc73f8a889

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:52:14.089334Z digest=sha256:245b7aec151f6f32b0c29824c431d725bf72533ba70a50e29e2702fb617b3652

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T11:58:18.626259Z digest=sha256:e534287d9e44268ee30bc52519f88f67da5effaa5492fb1699931e59fef0467d

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