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Paper Citation Record · LEDGER

Convergence for score-based generative modeling with polynomial complexity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2206.06227.

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

pith.paper-citation-record.v1
2206.06227 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:17.281906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.002599Z

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 348df092-3dd3-446f-850a-35f48786ff6c · inbound

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

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions Convergence for score-based generative modeling with polynomial complexity

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:45:22.111261Z

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=2026-05-11T20:45:21.970404Z digest=sha256:07cdbabb0dd04c7bfca282abf35caf97af137e4b365f87dd77f3de95c587f465

Observation a7f7910c-733b-4172-bfa6-57ef1fbc504f · inbound

Continuous Semi-Implicit Models cites this paper.

Continuous Semi-Implicit Models Convergence for score-based generative modeling with polynomial complexity

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:17.281906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:17.281906Z digest=sha256:b304714b8ff04bc7d7ab6fb737f8731795f1ebbb5650c049eaec19aaffdbada3

Observation 5e590118-3cba-4916-b5ab-7442f5035c1f · inbound

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions cites this paper.

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions Convergence for score-based generative modeling with polynomial complexity

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T17:45:09.856607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:45:09.856607Z digest=sha256:93b142602b315cd1554ca427b47c61ec54b9013aa940f1ba63666eef9912ebad

Observation 5c22a482-e2a0-4e95-8a6a-5813b1b0094c · inbound

Query Lower Bounds for Diffusion Sampling cites this paper.

Query Lower Bounds for Diffusion Sampling Convergence for score-based generative modeling with polynomial complexity

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:16:03.266173Z

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=2026-05-10T15:04:29.421000Z digest=sha256:1f751780349a0079a3a5843b4ab4bc77faf079b6c9b83d93e06624fbcdb5eb7d

Observation 9ea5e282-600f-4251-85e0-83abf5e0c7f6 · inbound

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler cites this paper.

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler Convergence for score-based generative modeling with polynomial complexity

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:41:14.954025Z

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=2026-05-22T07:38:10.286293Z digest=sha256:68714bcfd5fba7ac9dbaa73bcdfb043c6d50d7ee746cbd7b26b5ff6a4b9e8718

Observation 43484e95-3384-4aa1-adc5-425b78bf8b66 · inbound

When Do Local Score Models Extrapolate Across Size? A Diagnostic Theory and Benchmark cites this paper.

When Do Local Score Models Extrapolate Across Size? A Diagnostic Theory and Benchmark Convergence for score-based generative modeling with polynomial complexity

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:57:30.004138Z

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=2026-06-27T16:57:06.157403Z digest=sha256:defa70c70c74414154ae05fdb43421b91184d6dd5441222a8cd1592677c0ff23

Observation e56418db-6d71-4017-aadd-4d54f730caa7 · inbound

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling cites this paper.

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling Convergence for score-based generative modeling with polynomial complexity

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-01T00:25:50.974725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:25:50.974725Z digest=sha256:0c787ef0597a713781e4a87d259eaeaad8316b1428572ce5214c7f76c8462e64