Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.01158.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:28:25.231349Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b432b1bf-fac7-47ec-a019-7ed73ce1fd7b · inbound
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models cites this paper.
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:28:25.231349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60db662f-779f-4fc5-828d-54812b1396f3 · inbound
Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning cites this paper.
Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:13:57.326001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49617ecd-282e-461b-9976-cfb828004d7f · inbound
Factored Latent Action World Models cites this paper.
Factored Latent Action World Models Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:41:10.333440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df6a680c-7d1f-46dd-b7e7-e879631b85f0 · inbound
Parametric Open Source Games cites this paper.
Parametric Open Source Games Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T02:08:54.862076Z
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 7965885b-d6b1-428e-b5e9-7e869ab37b7c · inbound
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Reference 279
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:25:40.680350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.