Pith. sign in

Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:47:24.554406Z

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 48558b55-7ae7-4217-97a7-5961605c90aa · inbound

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis cites this paper.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T15:47:24.554406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:47:24.554406Z digest=sha256:3988d6619d00a3cf80bf11a6157b633047f683a079d971eb116dd19c54f558b7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T10:52:31.849094Z digest=sha256:0ed20197f25060dc6de388fbe4c7e64b3db5864df7beb19d28bd015b16b24820

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T02:46:18.921562Z digest=sha256:c58b6f4795b73a8455fbc7df4e5790a69769277a277eac5a5bfef5720e1f7469