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Paper Citation Record · LEDGER

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.04675.

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

pith.paper-citation-record.v1
2306.04675 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T10:52:31.849094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:54:07.869147Z

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 692d4561-a985-4f72-9d21-3160f45641eb · inbound

Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.

Diffusion Models Memorize in Training -- and Generalize in Inference Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:54:07.870843Z

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=2026-05-21T10:52:31.849094Z digest=sha256:08656e6e18003187e06ffe598c6d5d6c0c778fbf449eb44b328f706108c4dc05

Observation 88c3de6d-c461-491a-a020-8ab4197058d4 · inbound

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations cites this paper.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:24.852184Z

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=2026-05-12T02:46:18.921562Z digest=sha256:02ea5e4ee809de20aa864430e78534a3d9b9cf2a65887c39e2c89cf8b641ca47