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Paper Citation Record · LEDGER

Score-based generative models learn manifold-like structures with constrained mixing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09952.

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

pith.paper-citation-record.v1
2311.09952 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:54:56.830468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:16:18.629776Z

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 b6d33d5f-91dd-4842-b6e1-059e12a95430 · inbound

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications cites this paper.

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications Score-based generative models learn manifold-like structures with constrained mixing

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T16:54:56.830468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:54:56.830468Z digest=sha256:53671b0ebcf0d8f1b15950036e22f339358f063dd94f2af25158cc9f0710e31c

Observation 750e690f-87ba-4c8e-a1b9-54640a9de070 · inbound

The two clocks and the innovation window: When and how generative models learn rules cites this paper.

The two clocks and the innovation window: When and how generative models learn rules Score-based generative models learn manifold-like structures with constrained mixing

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:18.631214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T03:15:45.257213Z digest=sha256:3151bb31d39d1fa3b163e0b0955fb53d29a83cfffab9547068f525087e071964