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Paper Citation Record · LEDGER

Regret Bounds for Robust Online Decision Making

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.06820.

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

pith.paper-citation-record.v1
2504.06820 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:37:33.670712Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e172ede-1c63-4522-9fbd-23ce7663a326 · inbound

Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness cites this paper.

Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness Regret Bounds for Robust Online Decision Making

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:56:38.154899Z

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=2026-05-25T04:55:57.839132Z digest=sha256:4f02ef8c60fbef7451ea969ef332bdcff5aaaa58f14c1c88f9636a88d759f523

Observation 0d36f409-86c1-4d41-9a17-abf66e679a64 · inbound

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks cites this paper.

Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks Regret Bounds for Robust Online Decision Making

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T14:37:33.670712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:37:33.670712Z digest=sha256:cacbee6037605a36abf220dccaca3bf105e1dd9f60bf8166c6ff8ce9395c9155