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Paper Citation Record · LEDGER

Deep Exploration with PAC-Bayes

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03055.

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

pith.paper-citation-record.v1
2402.03055 v5

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:39.376428Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:12:39.423615Z

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 41b532c0-9ed2-4768-81a4-ae46cd8e0766 · inbound

ObjectRL: An Object-Oriented Reinforcement Learning Codebase cites this paper.

ObjectRL: An Object-Oriented Reinforcement Learning Codebase Deep Exploration with PAC-Bayes

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:12:39.429094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T20:12:39.376428Z digest=sha256:8aa06899f8722738d67f5914d37c04e54976c73940351f1041b6008482029a81

Observation 23ff2fb4-1743-496e-bc37-789547d43db0 · inbound

PAC-Bayesian Reinforcement Learning Trains Generalizable Policies cites this paper.

PAC-Bayesian Reinforcement Learning Trains Generalizable Policies Deep Exploration with PAC-Bayes

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T10:24:37.917502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:24:37.917502Z digest=sha256:a1bd512e5c031e6e476639609f4fb98b5b8b4a1d19e7b5db171ff5b152b8479a