Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:20:49.524942Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.10151.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:20:49.524942Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
19 of 19 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fab6465b-5489-4f14-9553-1c9a66e5b8ad · outbound
Training People to Reward Robots A survey of demonstration learn- ing,
Reference 1
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.
Observation a0473a5d-3524-4155-9722-5270bb3de240 · outbound
Training People to Reward Robots An algorithmic perspective on imitation learning,
Reference 2
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.
Observation 3d93bc03-f1f0-4144-8f77-1bc21c468f73 · outbound
Training People to Reward Robots How can everyday users efficiently teach robots by demonstrations?
Reference 3
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.
Observation de6544aa-23e7-460d-b126-9989be965878 · outbound
Training People to Reward Robots Using machine teaching to boost novices’ robot teaching skill,
Reference 4
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.
Observation 5d32237d-abc9-4e21-8eb0-23d49c916353 · outbound
Training People to Reward Robots When should we prefer offline reinforcement learning over behavioral cloning?
Reference 5
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.
Observation 13ad6d3c-59b4-41a0-9d27-48281d9f41b9 · outbound
Training People to Reward Robots Where machines could re- place humans-and where they can’t (yet),
Reference 6
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.
Observation 7dfedc2f-28f3-4b29-a41c-d4571079989b · outbound
Training People to Reward Robots Artificial intelligence and work: A critical review of recent research from the social sciences,
Reference 7
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.
Observation ce79350c-b6d9-4edf-8ef6-a8058a64e666 · outbound
Training People to Reward Robots Ai, robotics, and the future of jobs,
Reference 8
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.
Observation fa767e03-5d89-422d-a13f-828790dede54 · outbound
Training People to Reward Robots An Overview of Machine Teaching
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8566d782-fa0e-4e36-be7c-e8d3821b875e · outbound
Training People to Reward Robots Least-squares policy iteration algorithms for robotics: Online, continuous, and automatic,
Reference 10
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.
Observation bcdf8e0e-d600-4688-ac4f-6bb8b7d26f4e · outbound
Training People to Reward Robots Locally weighted least squares policy iteration for model-free learning in uncertain environments,
Reference 11
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.
Observation 1740758e-fb04-462b-aa2a-63bc33429e43 · outbound
Training People to Reward Robots The teaching dimension of linear learners,
Reference 12
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.
Observation 8586b3d3-00cc-4cae-bff0-7be9ec709418 · outbound
Training People to Reward Robots Unresolved cited work
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b1aa9dd-06e6-4854-84e0-49ba7d619d8c · outbound
Training People to Reward Robots Unresolved cited work
Reference 14
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.
Observation 0070a10b-c597-4142-8f8a-c467a7c02bc6 · outbound
Training People to Reward Robots Unresolved cited work
Reference 15
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.
Observation 5b408ec6-884a-45ed-b422-bfa0c5dd2add · outbound
Training People to Reward Robots A taxonomy of mixed reality visual displays,
Reference 16
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.
Observation 541f4c8c-c008-4a38-9b17-cc1dd4388171 · outbound
Training People to Reward Robots How do humans teach: On curriculum learning and teaching dimension,
Reference 17
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.
Observation b00b1ef2-b393-4509-bf01-d523b3fc5145 · outbound
Training People to Reward Robots Curriculum learning,
Reference 18
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.
Observation 80a4f14b-711e-4372-b97d-34888a808bc6 · outbound
Training People to Reward Robots LQR-trees: Feedback motion planning on sparse ran- domized trees,
Reference 19
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.
No inbound Pith citation observations are available.