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Paper Citation Record · LEDGER

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.12955.

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

pith.paper-citation-record.v1
2310.12955 v3

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:13.401469Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:22:27.692509Z

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 ed62ba83-6f84-4164-82d6-76bbb48ffb17 · 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 Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:13.401469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:13.401469Z digest=sha256:2a38e102816dde429f61e6a11fd50098df5569af40d308c3cefe2b3316944a1b

Observation fe2de193-e9e5-4310-9462-b571e2eb62ef · inbound

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

Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:47.216750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:47.216750Z digest=sha256:15d614e933914ba9a14e22d68fee6c8e8d44eca145d9c4783fa1e4ea6169d32d

Observation a42cc906-eef6-49be-9a4f-edf5155a047b · inbound

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood cites this paper.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:22:27.698977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:22:27.451131Z digest=sha256:15ec4174b52b19c573afbbeec35c558b4feaa12ce86cd1a44e091d7aee4682ca