Paper Citation Record · LEDGER

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.15766.

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

pith.paper-citation-record.v1
2404.15766 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:13:37.173643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:04.604762Z

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 1651e424-0cab-4230-8d82-e83bfce31c58 · inbound

Efficient Diffusion Models: A Survey cites this paper.

Efficient Diffusion Models: A Survey Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T16:13:37.173643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a7d0c3-fc8e-4e07-b8be-fb2ba7c02feb · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:42:54.476999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82d4db9d-1bb7-442d-a71c-07dc8d9c0f1e · inbound

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

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:46:06.327035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81d30b00-5d40-4e4f-8950-8e3f85573427 · inbound

Incomplete Data, Complete Dynamics: A Diffusion Approach cites this paper.

Incomplete Data, Complete Dynamics: A Diffusion Approach Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:21:28.297603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2069a800-18f6-4083-93f6-90ea9ef687b5 · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:45:33.039614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1afee7ff-2ab3-4419-b1ce-154f7cf58aff · 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 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:35:59.419116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f6e40b5-4247-4dfc-bbf5-a76c9f1b91a1 · 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 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.291395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1ceb7d8-81fb-418e-b237-110b0c5c9b93 · 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 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.606868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.