Paper Citation Record · LEDGER

C-Learning: Learning to Achieve Goals via Recursive Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2011.08909.

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

pith.paper-citation-record.v1
2011.08909 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:25.785189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:00:21.586357Z

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 bbad15d8-706f-4444-9661-dcec1aa5946d · inbound

Closing the Gap between TD Learning and Supervised Learning with $Q$-Conditioned Maximization cites this paper.

Closing the Gap between TD Learning and Supervised Learning with $Q$-Conditioned Maximization C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:25.785189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd193dd9-e705-4492-b848-f8bb6d6216f2 · inbound

Reachability Weighted Offline Goal-conditioned Resampling cites this paper.

Reachability Weighted Offline Goal-conditioned Resampling C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:59.107111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339dd619-0061-4f9f-91e8-6787088718c0 · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:27:14.523004Z

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.

Observation 143187d5-3f4d-4258-9ef2-695f91139aa3 · inbound

Efficient Skill Discovery via Regret-Aware Optimization cites this paper.

Efficient Skill Discovery via Regret-Aware Optimization C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:34.332286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2efce0-091c-4477-86b0-e7611fc75cc7 · inbound

Equivariant Goal Conditioned Contrastive Reinforcement Learning cites this paper.

Equivariant Goal Conditioned Contrastive Reinforcement Learning C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:24.548727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af3ab3c5-8365-410c-be41-b8e59a22cd42 · inbound

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning cites this paper.

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 1440

Resolution: unresolved; no resolver link, observed 2026-08-05T23:01:48.924790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cab83a9-a888-481b-810b-ce7e14f3dfd6 · inbound

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL cites this paper.

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:58.615800Z

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.

Observation 01337bf5-734c-45f0-a265-4ad306b63061 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:08:59.707624Z

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.

Observation 846e3748-e828-486b-83c9-29c33591af77 · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:21.589341Z

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.