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Paper Citation Record · LEDGER

Low-dimensional adaptation of diffusion models: Convergence in total variation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2501.12982.

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

pith.paper-citation-record.v1
2501.12982 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:18:48.830257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.506498Z

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 afa1a7b0-a02a-4907-9dc1-908c4e61313d · 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 Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T21:18:48.830257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:18:48.830257Z digest=sha256:29e333e3498f8946a9c6ed47882c75a620daae764521544cb722f80fa59f11b2

Observation 0c7d51b0-e8cd-46d6-be9a-f584225737d4 · 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 Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:46.760598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:46.760598Z digest=sha256:4a51c0ee22c10a3234290f1584e649e2a1142266312d1c6c1cfd3aae6857e077

Observation e1bbf3bd-d537-4777-baf8-82edbbeae0d0 · inbound

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

Faster Diffusion Models via Higher-Order Approximation Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:15.256352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:15.256352Z digest=sha256:59aa5eb043256041cc77a7bd657cae0c0a176d5b21e46ae57420e42f1c600ce6

Observation c4dc6d2d-6526-48d2-85c5-7b5f79769665 · inbound

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

Non-asymptotic convergence bound of conditional diffusion models Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.483351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.483351Z digest=sha256:69c09b282f4a77b5a72d27ef014e66856a60e5f4928dea67f6dc2a5944a3a216

Observation 7fcf319a-3add-4fa8-8c24-3b9c03677f08 · inbound

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs cites this paper.

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-05-10T16:23:50.751356Z digest=sha256:cdb55ed7b995faaee9414a755c3fea808d734b451f1a9e2d3314b4db80fea950

Observation babeb630-9ab6-4c34-a254-7ad5baad694d · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-05-11T02:27:44.244764Z digest=sha256:8fa77bd73d17ac394290238801a979e899ceabc785cc0de7244b64f2f4542333

Observation 8a91d82b-fbe6-4216-a0f7-13b6bf95a55c · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-05-25T06:34:46.801241Z digest=sha256:add5a3238fe85cdc7fca7b1d087ceed1c43e4b1de988109261fc23033595cf8a

Observation 7867dbcb-a0e2-41d7-8210-8eac2bf48307 · inbound

When Diffusion Model Can Ignore Dimension: An Entropy-Based Theory cites this paper.

When Diffusion Model Can Ignore Dimension: An Entropy-Based Theory Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-05-11T02:26:35.458400Z digest=sha256:b661f9ff9d64c3c638a6a5dc7609dd146512aad3506ccc830d140ac05c8b02dd

Observation 9736f6fe-b831-4699-9489-a24414a4fdb2 · inbound

On the Limits of Latent Reuse in Diffusion Models cites this paper.

On the Limits of Latent Reuse in Diffusion Models Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-05-14T18:38:49.566101Z digest=sha256:5ddeb957ecfe86b6dda5598f998b48c45977724a5d4e427f567bf7f14cef4cc6

Observation 1a1b8c09-6c27-4683-bad0-b0661c58f8b0 · 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 Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-14T01:20:42.443636Z

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=2026-06-26T05:56:29.406425Z digest=sha256:9b2f475f3782b9df6af151749d476c5c2ec94c682bb1be3efe3553943d1fb975