Paper Citation Record · LEDGER

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2208.14699.

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

pith.paper-citation-record.v1
2208.14699 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:44:52.097170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.285292Z

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 879f2e94-ab76-4a87-a8fa-65424db763c2 · inbound

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:17:51.607427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93ee427e-e6f0-4a8e-9ead-adb9c03f8aed · inbound

Rectified Flow: A Marginal Preserving Approach to Optimal Transport cites this paper.

Rectified Flow: A Marginal Preserving Approach to Optimal Transport Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:03:13.961438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e0a9e2a-fba7-4759-acda-712fc537b2c6 · inbound

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions cites this paper.

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:45:22.137122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cff6e53a-092d-4971-9e6b-0537576b2b16 · inbound

Pharmacophore-guided de novo drug design with diffusion bridge cites this paper.

Pharmacophore-guided de novo drug design with diffusion bridge Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.097170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97fd6942-f983-411f-8082-d42e2b71b032 · inbound

Low-dimensional adaptation of diffusion models: Convergence in total variation cites this paper.

Low-dimensional adaptation of diffusion models: Convergence in total variation Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T16:42:26.495020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27935312-6765-4732-8ff1-b371fc8c9432 · inbound

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation cites this paper.

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:02.821067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1109e2-1d4d-4d1e-b3d0-6d95a039d09a · inbound

Source Separation by Flow Matching cites this paper.

Source Separation by Flow Matching Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:39.280502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4e0703-cd65-4191-b62f-baa5131d02c4 · inbound

Faster Diffusion Models via Higher-Order Approximation cites this paper.

Faster Diffusion Models via Higher-Order Approximation Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:15.437038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d4bf29-16eb-4d31-811f-1afee687004f · inbound

Non-asymptotic convergence bound of conditional diffusion models cites this paper.

Non-asymptotic convergence bound of conditional diffusion models Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T20:56:33.467823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378c22f2-5e4d-4b9a-9ab5-ba2baa983dc4 · inbound

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models cites this paper.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:59.792109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5615f8-feae-45b2-9ded-c61ff83b4433 · inbound

Conditional Flow Matching for Visually-Guided Acoustic Highlighting cites this paper.

Conditional Flow Matching for Visually-Guided Acoustic Highlighting Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:55:13.895260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00de606b-ae4e-41d6-bce4-887c0b70dda4 · inbound

Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation cites this paper.

Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:00:48.568017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 957f8add-27b6-4c28-ba39-dd5ba5852123 · inbound

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space cites this paper.

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:46:26.278639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 535f628a-5080-4ce8-8f64-cd0e978e24a9 · inbound

Noise Schedule Design for Diffusion Models: An Optimal Control Perspective cites this paper.

Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:01:16.049931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8d5f028-fff9-495f-861f-b37e7ae206d7 · inbound

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.286803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d373485b-40db-4178-9008-336aa960ae30 · inbound

Notes on generative modeling: flow matching, diffusion, optimal transport and Schr{\"o}dinger bridge cites this paper.

Notes on generative modeling: flow matching, diffusion, optimal transport and Schr{\"o}dinger bridge Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:15:47.849808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.