Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:20:26.712370Z
Paper Citation Record · LEDGER
Proto Successor Measure: Representing the Behavior Space of an RL Agent
As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 4 inbound Pith citation observations for arXiv:2411.19418.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:31.066415Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:09:37.534617Z
Reference resolution
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy8
- unresolved5
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 801803b9-7364-469e-af8a-99a33c1a26c8 · outbound
This paper cites Eigenfunctions of this graph Laplacian gives a representation for each state ϕ(s), or the state feature.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Eigenfunctions of this graph Laplacian gives a representation for each state ϕ(s), or the state feature
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.820010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 34b17c1a-0c69-4efb-a023-1e26e131a7b4 · outbound
This paper cites Training for optimizing all reward functions in this class allows for state-features and successor-features to coemerge.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Training for optimizing all reward functions in this class allows for state-features and successor-features to coemerge
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.809572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 145e9650-f397-4deb-892d-e9fe77898af4 · outbound
This paper cites Eysenbach, B., Salakhutdinov, R., and Levine, S.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Eysenbach, B., Salakhutdinov, R., and Levine, S
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.874864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 33d5249a-14fa-4ad0-bde0-140264e0ab35 · outbound
This paper cites Offline Reinforcement Learning with Implicit Q-Learning.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Offline Reinforcement Learning with Implicit Q-Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:26.684362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e17ec43-4144-41f8-99aa-aaacd7b20da6 · outbound
This paper cites The Laplacian in RL: Learning Representations with Efficient Approximations.
Proto Successor Measure: Representing the Behavior Space of an RL Agent The Laplacian in RL: Learning Representations with Efficient Approximations
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:26.695241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9993d872-9fb5-450f-b611-5fedddeaeeb2 · outbound
This paper cites Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:26.699646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b014714-e06f-4dbd-9b1b-52227d089c9f · outbound
This paper cites 20000 tra- jectories, each of length 50, are collected.
Proto Successor Measure: Representing the Behavior Space of an RL Agent 20000 tra- jectories, each of length 50, are collected
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.832693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26b5bfa1-8d63-4b0a-8162-4e1f6bee1eb5 · outbound
This paper cites sd, sd -> s.
Proto Successor Measure: Representing the Behavior Space of an RL Agent sd, sd -> s
Reference 14
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-12T10:20:26.798172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0eeffdbb-f0a4-4a4b-a5bb-addf9405ac88 · outbound
This paper cites Dadashi, R., Taiga, A.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Dadashi, R., Taiga, A
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.887091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 301a9097-5639-4da0-b875-2ad794fc7fc2 · outbound
This paper cites 9 Proto Successor Measure: Representing the Behavior Space of an RL Agent Hoang, C., Sohn, S., Choi, J., Carvalho, W.
Proto Successor Measure: Representing the Behavior Space of an RL Agent 9 Proto Successor Measure: Representing the Behavior Space of an RL Agent Hoang, C., Sohn, S., Choi, J., Carvalho, W
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.853763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5b3ce4fc-11f2-486c-b267-2b382ed12c5d · outbound
This paper cites Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:26.665450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88a0aeec-8076-47ba-afa2-2b6a59f87202 · outbound
This paper cites Farebrother, J., Greaves, J., Agarwal, R., Lan, C.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Farebrother, J., Greaves, J., Agarwal, R., Lan, C
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.863976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 684399d2-542a-4bb6-bdb5-e225e5130013 · outbound
This paper cites Warde-Farley, D., de Wiele, T.
Proto Successor Measure: Representing the Behavior Space of an RL Agent Warde-Farley, D., de Wiele, T
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:20:26.842672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3457a125-7d69-42c0-8586-49cd62777647 · outbound
This paper cites DeepMind Control Suite.
Proto Successor Measure: Representing the Behavior Space of an RL Agent DeepMind Control Suite
Reference 9879
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:26.688224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 683c03af-f7ca-44e0-96ef-bbf2d68e1bd0 · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.
A Survey of State Representation Learning for Deep Reinforcement Learning Proto Successor Measure: Representing the Behavior Space of an RL Agent
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:31.066415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de9c8fb7-a7d3-4a08-bb9e-8f5d120c6f14 · inbound
Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning cites this paper.
Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning Proto Successor Measure: Representing the Behavior Space of an RL Agent
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:42:58.526495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e741467-c68e-47aa-83d9-7dad88a6fcb9 · inbound
Learning Object Manipulation from Scratch via Contrastive Interaction cites this paper.
Learning Object Manipulation from Scratch via Contrastive Interaction Proto Successor Measure: Representing the Behavior Space of an RL Agent
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:17:57.429411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7f84f37d-8904-4e54-be59-d64501a8d9c2 · inbound
Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization cites this paper.
Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization Proto Successor Measure: Representing the Behavior Space of an RL Agent
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:09:37.537474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.