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Paper Citation Record · LEDGER

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1903.03698.

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

pith.paper-citation-record.v1
1903.03698 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:28.595829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:38.343947Z

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 1f05f239-4449-48a3-b8f2-60e199228dce · inbound

Learning to Reason at the Frontier of Learnability cites this paper.

Learning to Reason at the Frontier of Learnability Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T02:42:26.146328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:41:21.571824Z digest=sha256:2295cac5210f6dea9d65cc9c051ee440b665d6ab5169568f2bca8df588e1229a

Observation 017bcc25-aebd-4488-a748-ab051c631b87 · inbound

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:28.595829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:28.595829Z digest=sha256:046e3f2a7544cfb2c8f5fb1963868d4c533b673c0150fe37d4b41b52bddbdefb

Observation c6dee320-569f-47f3-bc62-1e567b91fe3b · inbound

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning cites this paper.

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T00:54:31.211533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T00:53:46.002945Z digest=sha256:a91f0e58b4f6e52058a100d713244e0287dccd57cf09cf2b3478c1de1f2c20cd

Observation 639fedf0-4c81-41fe-a29d-b835cdc805f0 · inbound

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata cites this paper.

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T10:40:49.651497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:40:49.651497Z digest=sha256:395ded67910a47f2d895820d6826c59052852753fed336419e897fa6749a75fd

Observation 2e9cf429-8e9e-4b43-a86d-194bb7e1b6d0 · inbound

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

Improving Zero-Shot Offline RL via Behavioral Task Sampling Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:41:18.672711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:27:15.347522Z digest=sha256:9fe60055a280b1dba29743912d45d5b230e83746b527b6802523f6465ab0c42c

Observation 075a2598-7790-4088-af7b-9a03bae07a5d · inbound

Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs cites this paper.

Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:05.336561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T15:12:54.575483Z digest=sha256:b77249914add6345622bbf30301b65187f05a66d921c40adae5e4cb026e2ed22

Observation 6e6dc1f7-d09c-40aa-b705-444c3e1892bc · 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 Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:58.692267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:17:48.643521Z digest=sha256:2e7df3add5203a6775bca8c8b35f969109a7c864d5532c4df0ce8fde6a587e63

Observation f2e07870-d7eb-4aab-afd7-91423fe3e8b7 · inbound

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization cites this paper.

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:46:10.732263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T13:52:43.033237Z digest=sha256:4fbb87fce1063559e5942efe808e105d04addbe5bc4a930f272202656c250f12

Observation eea2001c-898b-4c15-81b7-327ad86964d2 · inbound

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

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 275

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:08:59.509737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:6b9663b6323bdb36158568fc0fc8aca0f77c257292a8d2a4a689b013405acd1e

Observation b9f52f1f-f1da-4758-a06c-ae5928b5502b · inbound

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

Goal-Conditioned Agents that Learn Everything All at Once Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:00:21.678792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T04:59:48.867927Z digest=sha256:4b2822a86a9c3be1cdc7ab1f8cef0ff6bb61681311c1851f6638118dff0b365d

Observation dfbde33f-fb4c-49d0-acd5-f523771f393e · inbound

Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling cites this paper.

Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:34.164785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:07:28.361043Z digest=sha256:cb12451628e3c6227d7134f3b19697d949b0a6cd263c42724c14b58b6d85eccc

Observation 59b6ff6c-371b-4593-844c-e50fa85ba480 · inbound

Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation cites this paper.

Rotation-Aware Point-Cloud Embeddings for Vision-Based In-Hand Reorientation Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:59:38.345512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T13:54:05.409504Z digest=sha256:ec13e431618a6ef0eec3b1ecbda1c86c761fc8f7be07a61b88dbebb6711b1af8

Observation 872d3749-4388-436a-9ef2-e6857443b901 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-01T08:32:00.219755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:32:00.219755Z digest=sha256:3c7f0b2456d209c3c750ddc4a2e1d2a83b3041c67d97f3410c70840de95eeaf9