Paper Citation Record · LEDGER

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.08398.

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

pith.paper-citation-record.v1
2203.08398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:43.946999Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:44:07.735560Z

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 1814b700-7560-4e19-b757-e60c0b07b2ec · inbound

On Corruption-Robustness in Performative Reinforcement Learning cites this paper.

On Corruption-Robustness in Performative Reinforcement Learning COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T23:10:43.946999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3d32fb-2bb7-4e76-b43a-df73ff573454 · inbound

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning cites this paper.

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:13.290928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397d09de-2df4-4cfc-b15f-04cefe7ba833 · inbound

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning cites this paper.

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:53.257474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251618a8-f297-4142-86f9-716ca981dce1 · inbound

Position: Certified Robustness Does Not (Yet) Imply Model Security cites this paper.

Position: Certified Robustness Does Not (Yet) Imply Model Security COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:44:07.892575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.