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Paper Citation Record · LEDGER

Causal-Paced Deep Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.02910.

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

pith.paper-citation-record.v1
2507.02910 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:00.234115Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 953a5292-6c7d-4371-88bc-577fd9145fcb · outbound

This paper cites a uble, Anirudh Goyal, Alexander Neitz, Manuel W \.

Causal-Paced Deep Reinforcement Learning a uble, Anirudh Goyal, Alexander Neitz, Manuel W \

Reference 1

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Observation 6c7324e0-89ef-4b0d-a93b-2243831feac8 · outbound

This paper cites Woulda, coulda, shoulda: Counterfactually-guided policy search.

Causal-Paced Deep Reinforcement Learning Woulda, coulda, shoulda: Counterfactually-guided policy search

Reference 2

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Observation 1bed28bd-fd9f-4e9f-b2ca-6da690a50cfa · outbound

This paper cites Minimalistic gridworld environment for gymnasium.

Causal-Paced Deep Reinforcement Learning Minimalistic gridworld environment for gymnasium

Reference 3

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Observation 0e23d3de-29a1-4e09-88fb-d08b763b5ab9 · outbound

This paper cites Diversify & Conquer : Outcome-directed curriculum rl via out-of-distribution disagreement.

Causal-Paced Deep Reinforcement Learning Diversify & Conquer : Outcome-directed curriculum rl via out-of-distribution disagreement

Reference 4

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Source-reported events for the cited work

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Observation db015b49-98b3-4443-b897-8fcd5b93efb3 · outbound

This paper cites Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation.

Causal-Paced Deep Reinforcement Learning Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

Reference 5

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source=arxiv_source observed=2026-08-15T18:28:00.111372Z digest=sha256:aac502af775df475eb54ecd28f32ba38ab5404534e70b6004bf25f9a04288efc

Observation 2be97a85-b39f-453d-8057-158cf1034f21 · outbound

This paper cites Reverse curriculum generation for reinforcement learning.

Causal-Paced Deep Reinforcement Learning Reverse curriculum generation for reinforcement learning

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 794300e6-4310-49fc-8f20-d08e2c9a51d8 · outbound

This paper cites Automatic goal generation for reinforcement learning agents.

Causal-Paced Deep Reinforcement Learning Automatic goal generation for reinforcement learning agents

Reference 7

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4e8ee641-9dac-4d7d-a70f-b2ad73ca145b · outbound

This paper cites Automated curriculum learning for neural networks.

Causal-Paced Deep Reinforcement Learning Automated curriculum learning for neural networks

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 27db7a0c-8fac-4691-a8cb-ebd12f9156e4 · outbound

This paper cites Contextual Markov Decision Processes.

Causal-Paced Deep Reinforcement Learning Contextual Markov Decision Processes

Reference 9

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Source-reported events for the cited work

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Observation cd2614d0-133a-4417-879b-d0fc4e380079 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Causal-Paced Deep Reinforcement Learning beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 10

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Observation fc910c00-1ee0-4be4-97e9-24fca63e034f · outbound

This paper cites Curriculum reinforcement learning using optimal transport via gradual domain adaptation.

Causal-Paced Deep Reinforcement Learning Curriculum reinforcement learning using optimal transport via gradual domain adaptation

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9583bc91-9a19-4914-90f3-5dcc2b8f1d9e · outbound

This paper cites Open-Endedness is Essential for Artificial Superhuman Intelligence.

Causal-Paced Deep Reinforcement Learning Open-Endedness is Essential for Artificial Superhuman Intelligence

Reference 12

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Observation f0adc7aa-b4f8-472e-afe2-03d70e358e20 · outbound

This paper cites Prioritized level replay.

Causal-Paced Deep Reinforcement Learning Prioritized level replay

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f6e17f3c-e2ca-4636-b75f-416d2fa7e48e · outbound

This paper cites Self-paced contextual reinforcement learning.

Causal-Paced Deep Reinforcement Learning Self-paced contextual reinforcement learning

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 21b678b9-88e7-44f4-8897-96381d278f48 · outbound

This paper cites Self-paced deep reinforcement learning.

Causal-Paced Deep Reinforcement Learning Self-paced deep reinforcement learning

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 73304e73-c5a3-46b4-b0f1-58a9246d327a · outbound

This paper cites A probabilistic interpretation of self-paced learning with applications to reinforcement learning.

Causal-Paced Deep Reinforcement Learning A probabilistic interpretation of self-paced learning with applications to reinforcement learning

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0dcb690d-54d6-4441-b158-968a52cfabe9 · outbound

This paper cites Boosted curriculum reinforcement learning.

Causal-Paced Deep Reinforcement Learning Boosted curriculum reinforcement learning

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fb45d039-8a02-4299-a041-3bfc9689026b · outbound

This paper cites Curriculum reinforcement learning via constrained optimal transport.

Causal-Paced Deep Reinforcement Learning Curriculum reinforcement learning via constrained optimal transport

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a2b823b1-918a-4fc7-8dc3-ccf524bf7610 · outbound

This paper cites On the benefit of optimal transport for curriculum reinforcement learning.

Causal-Paced Deep Reinforcement Learning On the benefit of optimal transport for curriculum reinforcement learning

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9b442bf2-1f8a-4de4-9533-00afd1098e7c · outbound

This paper cites Causally aligned curriculum learning.

Causal-Paced Deep Reinforcement Learning Causally aligned curriculum learning

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3de08546-1ea3-4db5-906c-6662678c9f54 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey.

Causal-Paced Deep Reinforcement Learning Curriculum learning for reinforcement learning domains: A framework and survey

Reference 21

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Observation de855b34-d9e9-47a4-80ef-e6cd027584a3 · outbound

This paper cites Evolving curricula with regret-based environment design.

Causal-Paced Deep Reinforcement Learning Evolving curricula with regret-based environment design

Reference 22

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Observation 6d570a05-182e-4bda-9476-09d304dd4332 · outbound

This paper cites Causality: Models, Reasoning, and Inference.

Causal-Paced Deep Reinforcement Learning Causality: Models, Reasoning, and Inference

Reference 23

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Observation f91307da-13ca-459b-8f56-3a5fb29cdd97 · outbound

This paper cites Transportability of causal and statistical relations: A formal approach.

Causal-Paced Deep Reinforcement Learning Transportability of causal and statistical relations: A formal approach

Reference 24

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Observation a2e43f46-dc1b-4963-976c-f1817a2ffc2a · outbound

This paper cites Teacher algorithms for curriculum learning of deep rl in continuously parameterized environments.

Causal-Paced Deep Reinforcement Learning Teacher algorithms for curriculum learning of deep rl in continuously parameterized environments

Reference 25

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Observation 5621d954-c285-424f-9d58-52237674935a · outbound

This paper cites Teachmyagent: a benchmark for automatic curriculum learning in deep rl.

Causal-Paced Deep Reinforcement Learning Teachmyagent: a benchmark for automatic curriculum learning in deep rl

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation aefe2270-83ed-4ef4-b5d4-0f698e0b25cd · outbound

This paper cites Diffusion-based curriculum reinforcement learning.

Causal-Paced Deep Reinforcement Learning Diffusion-based curriculum reinforcement learning

Reference 27

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Causal-Paced Deep Reinforcement Learning Schrader

Reference 28

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 566b5d69-16bd-4434-8efa-f5d05da3be1d · outbound

This paper cites Causal influence detection for improving efficiency in reinforcement learning.

Causal-Paced Deep Reinforcement Learning Causal influence detection for improving efficiency in reinforcement learning

Reference 29

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5f170e11-fc56-4447-94b1-2c725be7bc7f · outbound

This paper cites Causal curiosity: Rl agents discovering self-supervised experiments for causal representation learning.

Causal-Paced Deep Reinforcement Learning Causal curiosity: Rl agents discovering self-supervised experiments for causal representation learning

Reference 30

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 240d271b-ee25-4465-b5d2-27e86bda4fc1 · outbound

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Causal-Paced Deep Reinforcement Learning Model-based transfer reinforcement learning based on graphical model representations

Reference 31

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3fef1431-9f77-40bb-9775-8b97416c0a8a · outbound

This paper cites Proximal curriculum for reinforcement learning agents.

Causal-Paced Deep Reinforcement Learning Proximal curriculum for reinforcement learning agents

Reference 32

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3e92b94a-44ff-4874-9438-5782ac516bb5 · outbound

This paper cites Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

Causal-Paced Deep Reinforcement Learning Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

Reference 33

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Unavailable: canonical work link unavailable.

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Observation e8afe934-d306-4498-8465-ccdbd63f5f48 · outbound

This paper cites Robust deep reinforcement learning through bootstrapped opportunistic curriculum.

Causal-Paced Deep Reinforcement Learning Robust deep reinforcement learning through bootstrapped opportunistic curriculum

Reference 34

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 33ff1e63-a31e-4e78-90a3-7c46877566f0 · outbound

This paper cites A survey on causal discovery: Theory and practice.

Causal-Paced Deep Reinforcement Learning A survey on causal discovery: Theory and practice

Reference 35

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 93815d39-fbf6-4df3-ad55-fe54ce644ed8 · outbound

This paper cites A survey on causal reinforcement learning.

Causal-Paced Deep Reinforcement Learning A survey on causal reinforcement learning

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c7c795ad-2cb9-49cc-a456-75937db7e144 · outbound

This paper cites Automatic curriculum learning through value disagreement.

Causal-Paced Deep Reinforcement Learning Automatic curriculum learning through value disagreement

Reference 37

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no resolver link, observed 2026-08-15T18:28:00.227275Z

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source=arxiv_source observed=2026-08-15T18:28:00.227275Z digest=sha256:137ee3587cea578ee78375fec3d4be6f786ae6f15e2e1993d3f7104ac95a39ff

Observation 0f6013d0-d781-4437-9eb5-db7ee1e88cc7 · outbound

This paper cites Invariant action effect model for reinforcement learning.

Causal-Paced Deep Reinforcement Learning Invariant action effect model for reinforcement learning

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-15T18:28:00.320370Z

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source=arxiv_source observed=2026-08-15T18:28:00.230747Z digest=sha256:628065f9bc5e85481a8a44b01dce99e19fdfca0e421ce7c25550abf8b1cfcd20

Observation 69cedf15-bae2-4474-8796-0ee57cd4de8b · outbound

This paper cites write newline.

Causal-Paced Deep Reinforcement Learning write newline

Reference 39

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no resolver link, observed 2026-08-15T18:28:00.234115Z

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source=arxiv_source observed=2026-08-15T18:28:00.234115Z digest=sha256:fc824511d4f92aa35bd766054cdd90ea5c7d5c073940383f1374d2837f552b23

Pith citing papers

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