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Paper Citation Record · LEDGER

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.13663.

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

pith.paper-citation-record.v1
2208.13663 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:47.198902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:19:29.022001Z

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 51b86397-76fc-4f7f-ac2f-48a0ea11e66f · inbound

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks cites this paper.

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:47.198902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:47.198902Z digest=sha256:97e04767307fb1e87c231c15755354c0aee9e493a3572df99b177f8b888a4343

Observation 46ee6d3e-2424-4bad-8a3e-57220afdfe76 · inbound

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback cites this paper.

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:29.024502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:03:48.813600Z digest=sha256:4501ffbbe83729f9ee23a441cb0baa085123775b4b3fddb19c57567aa1d26951

Observation bc0e3053-d82d-4e56-8f9b-0740bcc1355e · inbound

Efficient Preference Poisoning Attack on Offline RLHF cites this paper.

Efficient Preference Poisoning Attack on Offline RLHF Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:50:27.036360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:29:25.000361Z digest=sha256:a4d3c00a271be00b5c0cb52604eec2f3e99d054dd3287af04e2a2ba8e58e9878