Paper Citation Record · LEDGER

Does Zero-Shot Reinforcement Learning Exist?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.14935.

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

pith.paper-citation-record.v1
2209.14935 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:51.176322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:37:45.213274Z

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 8ab06752-66fd-44ac-9b11-b50e68370175 · inbound

MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer cites this paper.

MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer Does Zero-Shot Reinforcement Learning Exist?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:42:51.176322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668aeece-74b2-4495-b1dd-e935e8c04b67 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Does Zero-Shot Reinforcement Learning Exist?

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:43.162158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c619615-fd57-4838-a56b-cba765c42db2 · inbound

Epistemically-guided forward-backward exploration cites this paper.

Epistemically-guided forward-backward exploration Does Zero-Shot Reinforcement Learning Exist?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:35.184044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabbeb19-5eb1-41eb-beaf-0a1ecc406474 · inbound

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration cites this paper.

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration Does Zero-Shot Reinforcement Learning Exist?

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T17:49:15.304901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f5b6c3-6320-472c-a73d-16d5629667fa · inbound

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction cites this paper.

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction Does Zero-Shot Reinforcement Learning Exist?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:35:19.238072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 305e707f-0626-49c3-9c63-b2d5701fb55e · inbound

Improving Zero-Shot Offline RL via Behavioral Task Sampling cites this paper.

Improving Zero-Shot Offline RL via Behavioral Task Sampling Does Zero-Shot Reinforcement Learning Exist?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:18.589941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3433b48f-2f43-4459-b30c-2adcf64eba0e · inbound

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited cites this paper.

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited Does Zero-Shot Reinforcement Learning Exist?

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:37:45.215435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.