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Paper Citation Record · LEDGER

Proto Successor Measure: Representing the Behavior Space of an RL Agent

As of 8 August 2026, this Paper Citation Record lists 0 of 0 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.

pith.paper-citation-record.v1
2411.19418 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:31.066415Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.534617Z

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 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.

source=arxiv_source observed=2026-08-06T23:34:31.066415Z digest=sha256:510bc87696285f50e8ebd83cea89f489ee8b7880a2d87f42bb7f8a85648fe42f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:26:35.019753Z digest=sha256:0b77bee741d660dd93e51e0453cc3c5e8b670f21e0012eea89f9dd57d925b4b3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:10:21.427118Z digest=sha256:ea0ff1a35fc74432562089a39ef47e5f5b900cdbac283e56d6556c8bdc7842e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T14:48:19.683101Z digest=sha256:299d6917f98ebc3d0fa51ef9a0009a113f31c126a9e75d45e757d0dae0a347b7