Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of In-Context Reinforcement Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.07978.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:47.188471Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:44:40.651347Z
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 1746c1c3-08e4-4fab-af78-76e71a11315e · inbound
Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks cites this paper.
Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks A Survey of In-Context Reinforcement Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:52:47.188471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 981418f6-b0d5-49b8-8672-c37bdd9ff3ec · inbound
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra A Survey of In-Context Reinforcement Learning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:28:45.819093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d519dff5-6433-4b44-819f-3357bb3c41ec · inbound
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence A Survey of In-Context Reinforcement Learning
Reference 132
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.883101Z
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.
Observation 6de6714d-47c2-47d4-8036-ac7410f5e057 · inbound
In-Context Reinforcement Learning via Communicative World Models cites this paper.
In-Context Reinforcement Learning via Communicative World Models A Survey of In-Context Reinforcement Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:39:48.540944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c61b9786-540f-4b8a-b864-1cc67f788d85 · inbound
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean cites this paper.
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean A Survey of In-Context Reinforcement Learning
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:11:35.898118Z
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.
Observation 2b23d148-4e36-4552-818e-6c57ecbdc7db · inbound
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean cites this paper.
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean A Survey of In-Context Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:41:00.086178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35e8ed47-e3c7-408c-8410-1b327db3676d · inbound
How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off cites this paper.
How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off A Survey of In-Context Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:15:26.025046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b97a3c38-4cf1-4a41-b230-4b7b78dd812b · inbound
Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset cites this paper.
Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset A Survey of In-Context Reinforcement Learning
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T22:45:49.834480Z
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.
Observation deed3684-0eec-4925-a1b1-8b3f95ece377 · inbound
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits A Survey of In-Context Reinforcement Learning
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:25:51.227419Z
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.
Observation 31992104-4253-486b-842e-a7b024dd0b6d · inbound
One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning cites this paper.
One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning A Survey of In-Context Reinforcement Learning
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:56:32.009372Z
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.
Observation 7a82df82-f228-4b6c-bd3a-7d0df59583ca · inbound
MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings cites this paper.
MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings A Survey of In-Context Reinforcement Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:43:19.568432Z
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.
Observation 9d35b37b-59e1-43eb-9bb7-aa9eedff9f76 · inbound
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork cites this paper.
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork A Survey of In-Context Reinforcement Learning
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:44:40.652995Z
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.
Observation b81742fe-e83e-4f47-9e00-b5a7fc03714a · inbound
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis cites this paper.
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis A Survey of In-Context Reinforcement Learning
Reference 20
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-12T13:53:50.979339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7074d225-71c3-4598-a3c1-0f7418f83691 · inbound
ReBRAC-v2: The Return of the King cites this paper.
ReBRAC-v2: The Return of the King A Survey of In-Context Reinforcement Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:32:43.025125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.