Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T04:00:47.056185Z
Paper Citation Record · LEDGER
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.08647.
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 2026-08-11T06:34:44.6726+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
Reference resolution
14 of 14 outbound references displayed
- verified exact6
- verified fuzzy1
- unresolved1
- parse uncertain0
- malformed identifier4
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 208e9110-1738-43dc-8668-0ea9739d0691 · outbound
This paper cites URLhttps: //doi.org/10.1007/978-3-642-00982-2_1.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning URLhttps: //doi.org/10.1007/978-3-642-00982-2_1
Reference 1
- Resolution
- verified exact
- doi, observed 2026-07-10T04:06:44.494310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 724bce8f-8f9f-4345-bdfe-4a3af69c8bed · outbound
This paper cites Understanding the Power and Limitations of Teaching with Imperfect Knowledge.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Understanding the Power and Limitations of Teaching with Imperfect Knowledge
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T04:06:44.795817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 89ae9dcb-9b29-4a60-bfdc-084100c778b2 · outbound
This paper cites Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T04:06:44.799707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0cfe838c-0d66-413a-bbbf-cf1ecf6df5d8 · outbound
This paper cites The effect of modeling human rationality level on learning rewards from multiple feedback types.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning The effect of modeling human rationality level on learning rewards from multiple feedback types
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T04:06:45.255728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4bbd38d5-4249-47c0-bb47-2893f642f869 · outbound
This paper cites Assisted Robust Reward Design.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Assisted Robust Reward Design
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T04:06:44.786673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation eab54314-22fd-4d18-8bc3-a2d7e765b742 · outbound
This paper cites Interactive Teaching Algorithms for Inverse Reinforcement Learning.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Interactive Teaching Algorithms for Inverse Reinforcement Learning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T04:06:44.792911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 165abf34-3469-4981-a613-e4638b6b1fc0 · outbound
This paper cites Mehta and Dylan P.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Mehta and Dylan P
Reference 7
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T04:06:44.496762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f31d1d4c-ea9e-4b6a-856b-c57a00822c25 · outbound
This paper cites Effects of Robot Competency and Motion Legibility on Human Correction Feedback.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Effects of Robot Competency and Motion Legibility on Human Correction Feedback
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T04:06:44.789465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 05e0804c-f802-43d4-803d-94241f7b81be · outbound
This paper cites An Overview of Machine Teaching.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning An Overview of Machine Teaching
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T04:06:44.803111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 395203d5-155b-44ed-8db4-dd4d596c1fd9 · outbound
This paper cites an unresolved cited work.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Unresolved cited work
Reference 10
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-10T04:06:45.253692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation db90686e-f1e6-4046-9935-59cf7cb9866c · outbound
This paper cites an unresolved cited work.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T04:06:45.250108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f4b88810-7a0b-417d-ab89-bd2594532659 · outbound
This paper cites We use2×3gridworlds with two cell features (drawn gray and white) and a randomly placed terminal cellTthat may occupy either feature.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning We use2×3gridworlds with two cell features (drawn gray and white) and a randomly placed terminal cellTthat may occupy either feature
Reference 12
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-10T04:06:45.246599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8a7cab3b-aa36-43cc-a292-133c09631019 · outbound
This paper cites an unresolved cited work.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Unresolved cited work
Reference 13
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-10T04:06:45.248495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5a762f50-e6a9-4847-9796-477fb4079fb4 · outbound
This paper cites S1) 2:Restrict candidate atoms to those in environmentsK 3:D←Greedy Atom Selection(K,U)(Alg.
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning S1) 2:Restrict candidate atoms to those in environmentsK 3:D←Greedy Atom Selection(K,U)(Alg
Reference 14
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-10T04:06:45.252086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
No inbound Pith citation observations are available.