Paper Citation Record · LEDGER

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2504.14805.

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

pith.paper-citation-record.v1
2504.14805 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:01.218115Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:05:02.238585Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy8
unresolved30
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10d5154d-f5f0-4b85-98ca-1fa9959b4078 · outbound

This paper cites OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:00.977525Z

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Observation 68ac0526-4c55-48de-9a5c-19ca07f118f0 · outbound

This paper cites The option-critic architecture.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment The option-critic architecture

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:00.987957Z

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Observation c14dd52e-e007-4a28-9c16-5580574e93c9 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment A simple framework for contrastive learning of visual representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:00.994251Z

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Observation 38c7b2c9-54fb-4c5d-a1c8-95e7f1ce2dca · outbound

This paper cites Challenges of Real-World Reinforcement Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Challenges of Real-World Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.000049Z

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Observation 1901a133-cdf3-47c8-8560-ec796b946bdd · outbound

This paper cites C-Learning: Learning to Achieve Goals via Recursive Classification.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment C-Learning: Learning to Achieve Goals via Recursive Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.006955Z

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Observation 1f19c5c7-d671-423f-b674-81e97515625a · outbound

This paper cites Contrastive learning as goal-conditioned reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Contrastive learning as goal-conditioned reinforcement learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.014013Z

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Observation 74a7a1b1-dd0a-45ca-bdf9-8b8b3d671f28 · outbound

This paper cites Learning temporally abstractworld models without online experimentation.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Learning temporally abstractworld models without online experimentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.896218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe5b90d4-4b3d-4844-b6e5-3f259c698131 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.027471Z

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Observation c085a1ef-81cf-4321-a16e-8e3f93227075 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Soft Actor-Critic Algorithms and Applications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.043863Z

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Observation d1a79fbd-d849-4827-b647-a2614a5b43b3 · outbound

This paper cites Skill-critic: Refining learned skills for hierarchical reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Skill-critic: Refining learned skills for hierarchical reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.879105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 495849a5-6179-40d7-bdfb-cd0e22bd8496 · outbound

This paper cites The Termination Critic.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment The Termination Critic

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.057546Z

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Observation a2e9dfe5-e515-4390-8641-de4f4623f515 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Momentum contrast for unsupervised visual representation learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.064515Z

Source-reported events for the cited work

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Observation 3074ccaf-7a2f-4726-b8bd-6e138b0e7a6f · outbound

This paper cites Learning options via compression.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Learning options via compression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.850211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a9c9b8a-8b95-4cc3-83f0-f6b697a17e63 · outbound

This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.076078Z

Source-reported events for the cited work

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Observation 865feb6d-2071-49d6-8822-d2adfda53fd6 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Conservative q-learning for offline reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.082381Z

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Observation a3e6326d-62ad-4963-8443-ac4a45ead072 · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Curl: Contrastive unsupervised representations for reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.820368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b388794-defd-4560-9cff-ba3021fa11e0 · outbound

This paper cites Learning latent plans from play.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Learning latent plans from play

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.802459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4882f5d9-ee72-4276-8662-120fb8ae0093 · outbound

This paper cites Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.098356Z

Source-reported events for the cited work

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Observation 25d4929e-d079-420c-b277-eb502a29ff94 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Representation Learning with Contrastive Predictive Coding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.104026Z

Source-reported events for the cited work

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Observation f321c088-cc7e-4247-a2ed-02616db20ec8 · outbound

This paper cites Accelerating reinforcement learning with learned skill priors.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Accelerating reinforcement learning with learned skill priors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.109675Z

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Observation ab0634bb-1242-4f81-bdb3-2b801c1224ee · outbound

This paper cites Cross-Domain Transfer via Semantic Skill Imitation.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Cross-Domain Transfer via Semantic Skill Imitation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.115071Z

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Unavailable: canonical work link unavailable.

Observation 01dbc4bb-0ef3-4c40-968b-39caaeebad11 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Alvinn: An autonomous land vehicle in a neural network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.120980Z

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Unavailable: canonical work link unavailable.

Observation e4e4df10-d655-4b75-b8ac-cf7e0d994b5f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Learning transferable visual models from natural language supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.126287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dadf8ca-ae00-4a6f-9d13-62899d22884e · outbound

This paper cites Optimization of computer simulation models with rare events.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Optimization of computer simulation models with rare events

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.752010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8477b96-8088-42d6-8ea2-b07761a3acf0 · outbound

This paper cites Learning robot skills with temporal variational inference.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Learning robot skills with temporal variational inference

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.732927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc11bfb1-9fba-4ec3-b915-5efb9c10a031 · outbound

This paper cites Dynamics-Aware Unsupervised Discovery of Skills.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Dynamics-Aware Unsupervised Discovery of Skills

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.142208Z

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Observation 6d5e4303-c42a-480d-aba1-72ce395d9682 · outbound

This paper cites Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.147793Z

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Observation 0c683695-a0bc-429b-bc4b-3135614241b6 · outbound

This paper cites Skill-based Model-based Reinforcement Learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Skill-based Model-based Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.153097Z

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Observation 6379dd12-e8cd-42e4-9334-4e249e8afdd8 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Mastering the game of go with deep neural networks and tree search

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.158930Z

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Observation 0a126ffd-fef3-466c-b418-9cee0634813b · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.164026Z

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Observation e23d7e0a-fb60-4019-9d21-b46accf1022e · outbound

This paper cites Grandmaster level in starcraft ii using multi-agent reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Grandmaster level in starcraft ii using multi-agent reinforcement learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.169984Z

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Observation 8aa2b61c-6d15-42a1-b546-c4bab533d81a · outbound

This paper cites Behavior contrastive learning for unsupervised skill discovery.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Behavior contrastive learning for unsupervised skill discovery

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.175263Z

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Observation 537b4830-d98f-488f-a901-a83f16b09696 · outbound

This paper cites Skills regularized task decomposition for multi-task offline reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Skills regularized task decomposition for multi-task offline reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:01.669266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35a1b59d-aa22-494c-9e46-c342338becd4 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.186389Z

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Observation 49dae000-f524-420d-8e76-a5751b8224a9 · outbound

This paper cites Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.192825Z

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Observation 44773273-0d4e-4583-87b2-237c52c6a147 · outbound

This paper cites write newline.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.198493Z

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Observation 412c05e8-545d-4e15-b23a-88a7e9519094 · outbound

This paper cites @esa (Ref.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment @esa (Ref

Reference 37

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Observation 76270fea-3003-4fa1-89b1-5e1639fd8ddd · outbound

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Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:01.210487Z

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Observation f7b8877b-be69-4508-9f5c-1258504219cb · outbound

This paper cites an unresolved cited work.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Unresolved cited work

Reference 39

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T11:46:01.337383Z

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Pith citing papers

Observation cc65ec1f-b2b5-4d86-9486-5ab5b0de594d · inbound

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation cites this paper.

Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:05:02.238585Z

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Unavailable: canonical work link unavailable.