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Paper Citation Record · LEDGER

SelfEval: Leveraging the discriminative nature of generative models for evaluation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10708.

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

pith.paper-citation-record.v1
2311.10708 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:12.769025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:16:25.851324Z

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 1a7118b6-1eb4-4633-84a3-1b4629c6c3b5 · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models SelfEval: Leveraging the discriminative nature of generative models for evaluation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:25.866446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:1b00e634a0779975cf1ae3150fa6e272ef31dd93e2d30ea1b22e56a7495bcff7

Observation 4fe63a57-0fe2-4dfd-956b-dd71a68542f3 · inbound

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks cites this paper.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SelfEval: Leveraging the discriminative nature of generative models for evaluation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T10:51:12.769025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:51:12.769025Z digest=sha256:728ceb9c0aa6551a88dec1c3e1168e918dadbc49ed72500a930e4765c2d48027