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Paper Citation Record · LEDGER

Tighter Information-Theoretic Generalization Bounds from Supersamples

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.02432.

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

pith.paper-citation-record.v1
2302.02432 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:39.613954Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:34:07.252922Z

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 3a0dae55-7344-4593-9dfa-6bff191da3d4 · inbound

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis cites this paper.

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Tighter Information-Theoretic Generalization Bounds from Supersamples

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:39.613954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:39.613954Z digest=sha256:7d35c3bd61f3c42efe52d41c5778489160f9d01d3012d673349217917749dc84

Observation dc115f9a-e853-41b8-b659-a7211a7bbcde · inbound

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective cites this paper.

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Tighter Information-Theoretic Generalization Bounds from Supersamples

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:34:07.257647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:34:07.150255Z digest=sha256:9cef1bcf8b4c509fb945a4bffb5a7574074d6a96b9d72e4cf8f3b097379327f3