Pith. sign in

Paper Citation Record · LEDGER

Temporal Abstraction in Reinforcement Learning with the Successor Representation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.05740.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2110.05740 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:50:59.743859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:55:29.510936Z

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 ca652e6f-5741-46ed-8d79-22256bfed4a8 · inbound

Dynamic Latent Routing cites this paper.

Dynamic Latent Routing Temporal Abstraction in Reinforcement Learning with the Successor Representation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:49:38.178035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T01:49:14.934586Z digest=sha256:f4d5544f2a74b67de7c63ecfd129dbfff08a3136152792920a0646adc73e492a

Observation dac7fbbc-6f19-41db-9efb-6bce0d2bafb4 · inbound

Exploration and Online Transfer with Behavioral Foundation Models cites this paper.

Exploration and Online Transfer with Behavioral Foundation Models Temporal Abstraction in Reinforcement Learning with the Successor Representation

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:55:29.514716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T06:50:59.743859Z digest=sha256:c8d007fc2d067cd2d8eb42a20d936f0a4271d11eac7b42f122ed92e0e4b9b4f2