Paper Citation Record · LEDGER

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.02729.

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

pith.paper-citation-record.v1
2107.02729 v4

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:33:22.053467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:20:13.665869Z

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 0fd5e862-537a-4be4-ae24-d5a56184b43b · inbound

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL cites this paper.

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:22.053467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45ed3dff-7faa-4f58-b066-436fd8e57149 · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:20:13.668849Z

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.

Observation cb0645ba-3e04-49ff-888f-59b657b16e47 · inbound

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making cites this paper.

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.968799Z

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.

Observation 71b1fb0d-c7fe-45c5-a66a-173aaf4c3b5a · inbound

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling cites this paper.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Reference 146

Resolution: unresolved; no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.