Paper Citation Record · LEDGER

Can Wikipedia Help Offline Reinforcement Learning?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2201.12122.

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

pith.paper-citation-record.v1
2201.12122 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:25.777741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:55:33.157313Z

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 8c575c74-5acc-49d7-a6a3-d717a3280f59 · inbound

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cites this paper.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Can Wikipedia Help Offline Reinforcement Learning?

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:24:06.200000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54dd4fdf-a597-4ed9-8d78-99e5b231ba03 · inbound

A Generalist Agent cites this paper.

A Generalist Agent Can Wikipedia Help Offline Reinforcement Learning?

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:24:49.953533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06fad461-863b-4b03-8d3a-466b86d0d733 · inbound

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior cites this paper.

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior Can Wikipedia Help Offline Reinforcement Learning?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.395786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12214610-9826-44cf-be9c-27cf9bb8bef2 · inbound

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior cites this paper.

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior Can Wikipedia Help Offline Reinforcement Learning?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:55:33.160506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c12715a-3fbe-420f-9f5e-ddd2c9b28a21 · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation Can Wikipedia Help Offline Reinforcement Learning?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.777741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323d57c0-e54a-4ff4-913a-5769ee02290e · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Can Wikipedia Help Offline Reinforcement Learning?

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:50.582203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579aafc0-4071-400b-a301-6f900c5cc799 · inbound

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus cites this paper.

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus Can Wikipedia Help Offline Reinforcement Learning?

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:45:28.415938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e8013a8-78dc-46a8-85f5-b1fbab5ce287 · inbound

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus cites this paper.

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus Can Wikipedia Help Offline Reinforcement Learning?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T16:21:02.527948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e2b88b-1658-41b9-8089-cc4580e4d5da · inbound

On the Role of Language Representations in Auto-Bidding: Findings and Implications cites this paper.

On the Role of Language Representations in Auto-Bidding: Findings and Implications Can Wikipedia Help Offline Reinforcement Learning?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:41:09.074005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.