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Paper Citation Record · LEDGER

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2004.04136.

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

pith.paper-citation-record.v1
2004.04136 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:14.769986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:54:57.894799Z

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 e9e0d577-dda7-48ba-8811-1ad46fcb074f · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:27:32.014387Z

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.

source=pdf_text observed=2026-05-15T01:27:31.813680Z digest=sha256:9742731899039c61e18341c2a1d2ec5434cdfe47637a0d4ce857fbac7a0247a9

Observation c850c482-42d2-4382-8486-ab5f13a8a5eb · inbound

TD-MPC2: Scalable, Robust World Models for Continuous Control cites this paper.

TD-MPC2: Scalable, Robust World Models for Continuous Control CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:27:35.926799Z

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.

source=arxiv_source observed=2026-05-14T17:27:35.733800Z digest=sha256:07b8df60aee37e9f2e6c988035a46f48fb1389b91f67fb90e8afe3e9e4abb531

Observation b4135544-6834-4e57-aa62-4f5d9e78f94d · inbound

Self-supervised learning method using multiple sampling strategies for general-purpose audio representation cites this paper.

Self-supervised learning method using multiple sampling strategies for general-purpose audio representation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:14.769986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:14.769986Z digest=sha256:b4b3107f35df0f9e872d6ff6cf47372d13a818fc7670d70d415fb2a2ca3c1db2

Observation 30c1b44b-72d6-432e-adf0-d9bee240a0a0 · inbound

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning cites this paper.

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:47:32.912590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:32.912590Z digest=sha256:26ef1da78a8d1e9b0e371addd54c0ef5dc835a756e35799f5dfc677082005937

Observation 650ec005-f724-4ddb-8d2a-135adfa6789a · inbound

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

A Survey of State Representation Learning for Deep Reinforcement Learning CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:42.467347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:34:42.467347Z digest=sha256:f7117b613a109777ae3f8235b25b20419b35365dee440ea7b5f2206a48e1824d

Observation 8ac6adbc-64cf-4d0d-b7a9-208927350633 · inbound

rQdia: Regularizing Q-Value Distributions With Image Augmentation cites this paper.

rQdia: Regularizing Q-Value Distributions With Image Augmentation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:08.621610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.621610Z digest=sha256:953e1072c752917d73da393ae19e41f4d6cda1da948cf317cc4f7aaf04a32599

Observation a8192eb1-653a-4f96-b12f-77802bc2a1e6 · 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 CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 175

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:30:58.571970Z

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.

source=arxiv_source observed=2026-05-11T01:17:48.643521Z digest=sha256:165f478228054e2526a17222018bf3350d587b668b08a2988c701d4ea7b98c4c

Observation 61893026-35b7-46be-9abb-434b99175936 · inbound

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning cites this paper.

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:16:26.157118Z

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.

source=pdf_text observed=2026-05-12T03:35:37.739085Z digest=sha256:d89c9dda94f5e28a5523e9dd1e36e5a326c53f70043e05f704d7173c9bcc8047

Observation f1e31cba-8093-44e5-99d1-3872015b9613 · inbound

Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets cites this paper.

Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:32:06.178509Z

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.

source=arxiv_source observed=2026-05-13T02:31:56.483055Z digest=sha256:06340ae0e07ef9affd1d06e30b404f3fafad94e4b03840a2fc58e0dceb85453a

Observation c72c98b3-5e59-4ca4-89f7-2f16f3cfac18 · inbound

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation cites this paper.

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:41:08.531371Z

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.

source=pdf_text observed=2026-05-22T05:37:26.290308Z digest=sha256:fa4141f6ed5a73a734465af678f8d42fc7bd051bf81c182e9d7e3394cfbab148

Observation bf1b8450-f2fe-4408-9896-599d2a4be065 · inbound

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation cites this paper.

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:54:57.896636Z

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.

source=pdf_text observed=2026-06-30T16:54:39.269896Z digest=sha256:d5219a52213bdab07b0b93669929f0a3be74e3ab1f452bce3a18f73c3dc0f0a9

Observation dbb58938-21e7-42ca-8b0f-a7a69aef43b7 · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:48.574577Z

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.

source=pdf_text observed=2026-06-29T17:34:41.053725Z digest=sha256:47ef1951f5f04ad944cd9f943f803ed31110dcfec6114b6abf62a713e2656513