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Paper Citation Record · LEDGER

Mathematical analysis of singularities in the diffusion model under the submanifold assumption

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.07882.

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

pith.paper-citation-record.v1
2301.07882 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:18:03.810523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:53:43.710072Z

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 011b090f-e6ab-45aa-a864-50a457a4d64e · inbound

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples cites this paper.

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples Mathematical analysis of singularities in the diffusion model under the submanifold assumption

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T21:18:03.810523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:18:03.810523Z digest=sha256:722e1dcda3f4ec8ccf48c3324cbc5bf579539ff3b81ee43c2dcbe7fb1c4a9165

Observation 4d04585d-1571-4566-b1da-7d081a7036c6 · inbound

Memorization and Regularization in Generative Diffusion Models cites this paper.

Memorization and Regularization in Generative Diffusion Models Mathematical analysis of singularities in the diffusion model under the submanifold assumption

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:00:40.906407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:00:40.906407Z digest=sha256:5a48046db0293cd8fedac10b2bd5d3eda74900188ff20eb55a5c6a974e7a7d9b

Observation 06e52b22-6366-4d2e-99ef-b5ceef693b5c · inbound

When and how can inexact generative models still sample from the data manifold? cites this paper.

When and how can inexact generative models still sample from the data manifold? Mathematical analysis of singularities in the diffusion model under the submanifold assumption

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:58.190756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:07:58.190756Z digest=sha256:5199d7b29ffaa7632e70792220970df7cc56246078c3ecd491767cb2500cb566

Observation 337728ba-50d0-4ad0-a7d4-4e96b32a308f · inbound

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds cites this paper.

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds Mathematical analysis of singularities in the diffusion model under the submanifold assumption

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:53:43.711644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T20:49:46.204608Z digest=sha256:5fcff08f982161a697cc0ddff1971a49181634d4168dbc2d4b3c17908ebc3dbd