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Paper Citation Record · LEDGER

Maximum Likelihood Training of Score-Based Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.09258.

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

pith.paper-citation-record.v1
2101.09258 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:08:52.137915Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

46
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b5236ef6-6a33-43cf-aaf5-f2d16619784b · inbound

Diffusion models learn distributions generated by complex Langevin dynamics cites this paper.

Diffusion models learn distributions generated by complex Langevin dynamics Maximum Likelihood Training of Score-Based Diffusion Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T00:08:52.137915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:08:52.137915Z digest=sha256:4ca969023aea23ddbe42e60fdfe15c0fd3cee9986eeeec206884a5b4bd8e05ab

Observation 258a19a6-42c3-48d1-a77d-364ab9256632 · inbound

Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training cites this paper.

Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training Maximum Likelihood Training of Score-Based Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T19:54:05.634114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:54:05.634114Z digest=sha256:53996d3529cece4b70b2d527de2aab8ccb1e32b3d7b8a7b0a090789026f6967a

Observation 6223f5da-1571-483f-b6b8-ac2df0cf690d · inbound

Combining complex Langevin dynamics with score-based and energy-based diffusion models cites this paper.

Combining complex Langevin dynamics with score-based and energy-based diffusion models Maximum Likelihood Training of Score-Based Diffusion Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T13:16:06.720996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:16:06.720996Z digest=sha256:6de72a1cd7a86c1f996845d589515a318f191674527d02bb23b138c045a5523f

Observation 6cc12e8d-ee24-4316-97ae-8ea134b8676b · inbound

Latent Generative Solvers for Generalizable Long-Term Physics Simulation cites this paper.

Latent Generative Solvers for Generalizable Long-Term Physics Simulation Maximum Likelihood Training of Score-Based Diffusion Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:22:22.594612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T05:21:13.280286Z digest=sha256:cea575f566a3a48e8d7693e512496fdc27e2f6f38a985d5d3932c10fe8a51881

Observation 2069f56d-aaef-4701-a4fa-b1dde4dad45f · inbound

Consistency Regularised Gradient Flows for Inverse Problems cites this paper.

Consistency Regularised Gradient Flows for Inverse Problems Maximum Likelihood Training of Score-Based Diffusion Models

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:25:55.016431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T03:21:35.082352Z digest=sha256:d0a08a8fe967a523e9f1f316c15b04cd288b2b84e0b6e1aafa5a631ceca0fe8a