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Paper Citation Record · LEDGER

Anti-Concentrated Confidence Bonuses for Scalable Exploration

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.11202.

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

pith.paper-citation-record.v1
2110.11202 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:09:01.013036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:30.520310Z

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 a8299430-4a49-47a9-a262-4b91bc6e1875 · inbound

Representation-Based Exploration for Language Models: From Test-Time to Post-Training cites this paper.

Representation-Based Exploration for Language Models: From Test-Time to Post-Training Anti-Concentrated Confidence Bonuses for Scalable Exploration

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T10:09:01.013036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:09:01.013036Z digest=sha256:e3509a9a1efdf2023b3035d2be44661ff82b2d9c6dea746c99d7ce3f73b03fbb

Observation b1de570e-f523-4a7e-83ef-c1052e64973d · inbound

Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning cites this paper.

Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Anti-Concentrated Confidence Bonuses for Scalable Exploration

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:30.522465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T18:19:02.314185Z digest=sha256:91632dc9c4d76620150b67f466fa4ed2606cfd67a449c7dba77855ae023ca2bf