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Paper Citation Record · LEDGER

Accelerating Convergence of Score-Based Diffusion Models, Provably

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.03852.

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

pith.paper-citation-record.v1
2403.03852 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:50.248988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.511075Z

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 8bab2d47-a4eb-4a72-b2d0-e97e071348bb · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:50.248988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:50.248988Z digest=sha256:e91f228145f131dd09f742bc6158751321fa47677dd75620e1f83971a812c3ab

Observation e922d2f6-68f1-4750-90b5-59f819efd3c3 · inbound

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models cites this paper.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:46.052589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:46.052589Z digest=sha256:b0850840489d8bbd8c43379c609895acfb88626939c4367083026669e049e132

Observation 7ac54f9f-21a1-4fa0-b5bf-6a26c26606e7 · inbound

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

Faster Diffusion Models via Higher-Order Approximation Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:14.385738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:14.385738Z digest=sha256:64039a8aca2bd5edfb890022a727e5e34d80433183049358da913e6d251e60d3

Observation 5af8fe6c-1b75-4580-ac01-c182a7c850b4 · inbound

Likelihood Matching for Diffusion Models cites this paper.

Likelihood Matching for Diffusion Models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T04:26:45.685549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:26:45.685549Z digest=sha256:dc12d021d48c972cb076e149c7da22ac4c501f1e32b7c15e5d07c6dcfc2c91fc

Observation d0b5b71f-d29a-40b6-81a4-5c433dc95956 · inbound

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

Non-asymptotic convergence bound of conditional diffusion models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.442850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.442850Z digest=sha256:61e41d3b6b4207b1d17ef35b22d2ba77b6e62bd94b51e25f6711188f56774b0f

Observation 065c7cef-27ee-4af8-b262-1c1ea20a603a · inbound

Lipschitz-Guided Design of Interpolation Schedules in Generative Models cites this paper.

Lipschitz-Guided Design of Interpolation Schedules in Generative Models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:54:22.843207Z

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.

source=pdf_text observed=2026-05-21T21:53:15.115078Z digest=sha256:5996217deb6b4a04d6a36be37cdf2c624e06f6ec501e346358722a5cb74a3dea

Observation 2a021546-c801-4606-81ef-a0df7f58e7be · inbound

Provable Diffusion Posterior Sampling for Bayesian Inversion cites this paper.

Provable Diffusion Posterior Sampling for Bayesian Inversion Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-03T17:55:18.718852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:55:18.718852Z digest=sha256:ec8c650555d2de343d9e7530d2316ec43006982667d80d1e46b45ea74d8d7fd6

Observation d5f00b5c-29d1-4b27-957d-a6cbed9e3d11 · inbound

Proximal-Based Generative Modeling for Bayesian Inverse Problems cites this paper.

Proximal-Based Generative Modeling for Bayesian Inverse Problems Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:57:33.540984Z

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.

source=arxiv_source observed=2026-05-14T17:53:42.816596Z digest=sha256:87bf37d318fc5b5ececf6059811c0397d73dfc9c12e45160a1830dd8aa769943

Observation c6b241ae-3f9f-498a-a0dc-298ef993b183 · inbound

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices cites this paper.

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.512638Z

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.

source=arxiv_source observed=2026-06-26T05:56:29.406425Z digest=sha256:7d82aeb6a449a0b5203a1d7d50fd1afa25d56628780fa9490d54865be7264081