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Paper Citation Record · LEDGER

Provable Acceleration for Diffusion Models under Minimal Assumptions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.23285.

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

pith.paper-citation-record.v1
2410.23285 v3

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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:18:48.823477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.470747Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 dd23b678-da35-46d7-a7e8-81508fdb6db4 · inbound

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration cites this paper.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T21:18:48.823477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:18:48.823477Z digest=sha256:01b0bc0514917612bd97792e4d991a5093dd38929420a95c3ca80a8878f6fc2e

Observation 5a9398c2-c4ff-4846-b220-4214506b5386 · inbound

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion cites this paper.

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:27:48.033956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:27:48.033956Z digest=sha256:44256429877215aac42b4ab16cf75e99b5581d3dea496a064ca5887959589e2f

Observation 90c635a6-db1a-40b7-86ac-d2974c77e0cf · inbound

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation cites this paper.

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:34.542737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:31:34.542737Z digest=sha256:4d2397400748b5faa6019d98dec56aba872081f5a47fc62ecab085b40621d244

Observation d9938756-42fa-44b2-937f-2d8eab5e0ce9 · inbound

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

Faster Diffusion Models via Higher-Order Approximation Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:14.167215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:14.167215Z digest=sha256:ed80b2b9c27b24f293bcb76ff1186dc9eef0b56b9043992fb415cfdcdd32611d

Observation 5f16b8c9-1933-4bfe-af82-40fd6003ae38 · inbound

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

Non-asymptotic convergence bound of conditional diffusion models Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.493471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.493471Z digest=sha256:8ad401492d67aee9fb8a723e5886a6f76dcd0a6d08343665ae86648588e7b8b4

Observation 99147eba-cd56-41be-9a27-8781b026436f · inbound

Higher-order Diffusion Sampling via Chebyshev Interpolation and Gauss--Seidel Iterations cites this paper.

Higher-order Diffusion Sampling via Chebyshev Interpolation and Gauss--Seidel Iterations Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:17:41.544153Z

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=2026-06-27T12:49:00.674523Z digest=sha256:f5ea64fc328302bf0f6e3875aaca7e59e164c654390ef21fce2fcbda602b7355

Observation 592e04bc-9436-4bfc-82f6-8305a5ee2a01 · 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 Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.471975Z

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=2026-06-26T05:56:29.406425Z digest=sha256:1aec1e7c94440e9411b5954268307b841ec72f78ffe7eb32a836a8f44e489294

Observation 2d3eb477-72b1-444d-bb22-32b7bfebacf0 · inbound

Exact simulation of diffusions and improved algorithms for log-concave sampling cites this paper.

Exact simulation of diffusions and improved algorithms for log-concave sampling Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:21.080264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:25:21.080264Z digest=sha256:edadaf08ee3e30ff149d1b258fa152fca0e862cdf246f62a34558122796f69e7