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Paper Citation Record · LEDGER

Automatic Curriculum Learning For Deep RL: A Short Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2003.04664.

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

pith.paper-citation-record.v1
2003.04664 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:37:50.047584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.756812Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b651037f-21cd-4868-a249-ac17ee0be915 · inbound

Syllabus: Portable Curricula for Reinforcement Learning Agents cites this paper.

Syllabus: Portable Curricula for Reinforcement Learning Agents Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 70

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no resolver link, observed 2026-08-12T18:44:06.566692Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:06.566692Z digest=sha256:2573f1318db1b19d15e0966b79ecb4b0029d95fe8152992a17c8ae248af9890d

Observation 41b60091-6ff7-4685-876d-4fa1faa733e0 · inbound

Dynamic Skill Adaptation for Large Language Models cites this paper.

Dynamic Skill Adaptation for Large Language Models Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 39

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source=arxiv_source observed=2026-08-11T00:46:46.222004Z digest=sha256:d1eebc741183f9b1b137c9ce4e27eb56cf444b1a7c956cd5bd46440fd2e40b0b

Observation 354d7441-1d67-4dee-b83a-1f5a24885dd8 · inbound

Reactive Aerobatic Flight via Reinforcement Learning cites this paper.

Reactive Aerobatic Flight via Reinforcement Learning Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 15

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source=pdf_text observed=2026-08-07T12:28:27.914545Z digest=sha256:0b8d93e680f05a73105764929185ea8edd5bb4b39b871da5b7a8e67dafa95ed9

Observation abf2c7e8-a995-4a2c-8068-832c58b93ef4 · inbound

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real cites this paper.

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 56

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source=pdf_text observed=2026-08-07T11:37:23.535097Z digest=sha256:9584015e88b016aa5821d8c1b17e60ed53c7d1ce14e696f0c3d23d8558fcf369

Observation 7fae3eea-146a-459e-b94a-773036c72f49 · inbound

Energy-Based Transfer for Reinforcement Learning cites this paper.

Energy-Based Transfer for Reinforcement Learning Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 22

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source=pdf_text observed=2026-08-06T23:42:21.752276Z digest=sha256:69d64f8bc6bc1acfac61818e0f553fa598b0335286b54dded8474a54c32c6f14

Observation 9cfa1ce2-4d30-42d0-8d0b-d85150d118b1 · inbound

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

Efficient Skill Discovery via Regret-Aware Optimization Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 53

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source=arxiv_source observed=2026-08-06T22:41:38.079354Z digest=sha256:761ea8bb1bd563aac9aa370f87658c6c4379f8bf61853e7acbdf16b30d5a7471

Observation 9fa14b1a-9827-40ea-a5a4-805f54cff738 · inbound

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring cites this paper.

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 3

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source=pdf_text observed=2026-08-06T04:47:42.271405Z digest=sha256:e87d955751b6d4384c6422648f3e4656ad6d2019b99e70cb07ad6b7ec2cb7589

Observation 3222be5f-3759-49c8-b0ab-8342b55ce22f · inbound

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making cites this paper.

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 30

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source=pdf_text observed=2026-08-05T21:01:24.743432Z digest=sha256:8f871ef575089c5d3bd6e42ab64b676f4bca740dad2a2dcf99fa944a41c28c85

Observation 2a797309-cda9-4104-bff6-5cea08aaa5e5 · inbound

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams cites this paper.

Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 12

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source=pdf_text observed=2026-08-05T19:38:16.090533Z digest=sha256:0b90e19ee791c57a844e3d195ac4eadcd008e0c1d5ed779b156477b24943e325

Observation e11dda21-b529-4811-9e94-d4a8b3be7697 · inbound

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent cites this paper.

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 122

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arxiv_id, observed 2026-05-15T20:46:35.654827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:e5646febcc4884d3df9be28da9af40fa75ea9f431749c6911c23ebc91c9f409c

Observation 3b0cf81a-81c6-433b-a172-37cbbdf26944 · inbound

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

Improving Zero-Shot Offline RL via Behavioral Task Sampling Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 17

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arxiv_id, observed 2026-05-11T23:41:18.698341Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T16:27:15.347522Z digest=sha256:553441370dc7549d46b9b84c181a1cc7ea454a39d27def984f2ec45bd29cb7fb

Observation 5c153014-6881-46fd-b55a-90095577f34f · inbound

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding cites this paper.

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 59

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arxiv_id, observed 2026-05-12T09:11:27.706196Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T11:52:26.828633Z digest=sha256:9cda093540266961df29960bf943792ca4af1225eaad996b956b909e29e079ff

Observation f3a9e1da-3da3-4049-b686-9a9d6f811d03 · inbound

PACE: Parameter Change for Unsupervised Environment Design cites this paper.

PACE: Parameter Change for Unsupervised Environment Design Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 8

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arxiv_id, observed 2026-05-11T17:01:05.876043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T14:21:34.002785Z digest=sha256:af4e74acb7a86e659e70ff6af45a2de75c8caf53ee705bcacce6d6e448593d80

Observation d8d3554b-16e3-4f31-b8b8-e423c986f62f · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 154

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arxiv_id, observed 2026-07-04T07:59:40.758415Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:e4c96f957d172b9a43d37c2a571b7d43568f71c99094f62f8f0eb3153a3684ee

Observation e7e721b1-0c7c-49a0-ba86-ce7cfc9bc795 · inbound

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 19

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source=pdf_text observed=2026-08-01T18:17:12.227274Z digest=sha256:88b52398f294daa47b25fc866ea938627561c40052cb017e65800a9155339929

Observation c4c19512-aab4-4b2c-b876-1a0ef6a62a59 · inbound

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks cites this paper.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 4

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source=pdf_text observed=2026-07-30T20:27:55.365340Z digest=sha256:45d11b56d1e49d2af5395ef7ce5af83758cf83d18faa46b66c3df9218218d63b

Observation 32e4cb41-2b30-4429-8eec-1b1de28e5764 · inbound

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale cites this paper.

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 53

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no resolver link, observed 2026-07-31T18:39:44.885264Z

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source=arxiv_source observed=2026-07-31T18:39:44.885264Z digest=sha256:89fad51e6c7ac9260ffbc5b84b0da854556b4d6032dfa0da7634d7b6dfe0af42

Observation 923ed18c-373b-422f-9132-77c2d3eb5ae9 · inbound

Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer cites this paper.

Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 25

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source=pdf_text observed=2026-08-05T18:51:30.449280Z digest=sha256:d4246e13f2ff332ae9ba022e1ab3d638c9634725276ac19f74545a232f8c87e9

Observation c6b5a2d5-e75f-492d-a705-1f756d3bd4c2 · inbound

Predicting Task Difficulty Without Rollouts cites this paper.

Predicting Task Difficulty Without Rollouts Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 22

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source=pdf_text observed=2026-08-07T23:25:20.474015Z digest=sha256:349cb27e90d6b43000b13c060617de3ca549f34832df61a2a35f7a91c130f047

Observation 4967109c-abe1-4d35-9ff2-7e4bd8091676 · inbound

Curriculum Generation under Structured Parametric Environments for Robust Navigation Policies cites this paper.

Curriculum Generation under Structured Parametric Environments for Robust Navigation Policies Automatic Curriculum Learning For Deep RL: A Short Survey

Reference 9

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source=pdf_text observed=2026-08-14T04:37:50.047584Z digest=sha256:ecdd13c8e3626360e0cb9007ae955649d86593e6567d1cf52499451c1b475f96