Paper Citation Record · LEDGER

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.05968.

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

pith.paper-citation-record.v1
2506.05968 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:48.526180Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy24
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74e6c653-6a1b-4973-b4a1-9294f7e4089e · outbound

This paper cites write newline.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a08e0af-1b8e-48e7-b92f-3e42aa666699 · outbound

This paper cites S., Courville, A., and Bellemare, M.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning S., Courville, A., and Bellemare, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:53.429166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45079820-dde8-4551-8f97-e5219b05fda6 · outbound

This paper cites P., Piot, B., Kapturowski, S., Sprechmann, P., Vitvitskyi, A., Guo, Z.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning P., Piot, B., Kapturowski, S., Sprechmann, P., Vitvitskyi, A., Guo, Z

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:53.179191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b45f3e0e-0cd1-46ca-9229-5a4b4b04e45e · outbound

This paper cites an unresolved cited work.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:52.930988Z

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Observation 1013eb96-90e9-44e8-9bf9-e923536a9d37 · outbound

This paper cites G., and Courville, A.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning G., and Courville, A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:52.768549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5e87e7c-7cf3-4f7a-acd6-c4e0c3a5e466 · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Addressing function approximation error in actor-critic methods

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:52.533275Z

Source-reported events for the cited work

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Observation 615f40d1-1469-45de-88b2-87b8ae539466 · outbound

This paper cites Extreme q-learning: Maxent RL without entropy.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Extreme q-learning: Maxent RL without entropy

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:52.217667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f268b2a8-9a3c-48e5-ac1e-0112a52da0c5 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Reinforcement learning with deep energy-based policies

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:51.890421Z

Source-reported events for the cited work

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Observation 5ce08810-5d86-4fcd-880d-ab9041f99c4f · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:51.632867Z

Source-reported events for the cited work

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Observation de6e7585-9838-4414-8067-1fdabd457bb0 · outbound

This paper cites and Montana, G.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning and Montana, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:51.407864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6880da0-a7c5-4aa6-86ec-43e00e352a7f · outbound

This paper cites Seizing serendipity: exploiting the value of past success in off-policy actor-critic.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Seizing serendipity: exploiting the value of past success in off-policy actor-critic

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:51.117765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56b0703c-6b37-4983-9bb8-31292def33a7 · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Scalable deep reinforcement learning for vision-based robotic manipulation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:50.905539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a42b7053-01e2-453a-b0b1-4cd20fc06f7c · outbound

This paper cites Offline reinforcement learning with implicit q-learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Offline reinforcement learning with implicit q-learning

Reference 13

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Source-reported events for the cited work

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Observation 52bab990-8632-44ea-8975-839eadde2fac · outbound

This paper cites Stabilizing off-policy q-learning via bootstrapping error reduction.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Stabilizing off-policy q-learning via bootstrapping error reduction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:50.694062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b0fc27d-a44b-4f6f-9c8d-a40993c67cb9 · outbound

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

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Conservative q-learning for offline reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:50.480294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02c3b8f7-5121-48ec-b9d4-4ba63752c3a9 · outbound

This paper cites Maxmin q-learning: Controlling the estimation bias of q-learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Maxmin q-learning: Controlling the estimation bias of q-learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:50.243561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 881e225e-6388-435d-a79a-5ca3fe2a34eb · outbound

This paper cites Continuous control with deep reinforcement learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Continuous control with deep reinforcement learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:46.934739Z

Source-reported events for the cited work

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Observation 6facc739-eb3e-4637-98f3-83ab11f51b1f · outbound

This paper cites Playing atari with deep reinforcement learning, 2013.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Playing atari with deep reinforcement learning, 2013

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:47.029223Z

Source-reported events for the cited work

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Observation b5d58713-2671-421c-a068-32ac12f65beb · outbound

This paper cites A., Veness, J., Bellemare, M.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning A., Veness, J., Bellemare, M

Reference 19

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Source-reported events for the cited work

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Observation b359830d-c8cd-45a7-9fd2-ceabd3fa7bc2 · outbound

This paper cites Curriculum dropout.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Curriculum dropout

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:50.064348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d6005e5-7c19-40d1-addb-4b852fb2fe78 · outbound

This paper cites Stabilizing extreme q-learning by maclaurin expansion.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Stabilizing extreme q-learning by maclaurin expansion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.970652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03340be4-19ca-4bad-aa9b-5a9dcd729d3f · outbound

This paper cites and Niranjan, M.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning and Niranjan, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.866604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab148013-765b-4f15-8fca-d6660c3ab6d3 · outbound

This paper cites Trust region policy optimization.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Trust region policy optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.776975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f6d060f-9686-4adb-a57a-768e76528ca4 · outbound

This paper cites Proximal policy optimization algorithms, 2017.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Proximal policy optimization algorithms, 2017

Reference 24

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Source-reported events for the cited work

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Observation c87f85e4-8b3d-4c0a-9f5b-cc00c061ec5c · outbound

This paper cites Solving continuous control via q-learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Solving continuous control via q-learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.667511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9f5f068-c203-4565-aeb8-405dca379fed · outbound

This paper cites Growing Q -networks: S olving continuous control tasks with adaptive control resolution.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Growing Q -networks: S olving continuous control tasks with adaptive control resolution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.559832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 924d39d6-b358-436e-a5da-3c2b6a0cbbef · outbound

This paper cites Dual RL : Unification and new methods for reinforcement and imitation learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Dual RL : Unification and new methods for reinforcement and imitation learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.478106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65d2a1ec-1373-4076-86ee-2f8c9a73238c · outbound

This paper cites Learning to predict by the method of temporal differences.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Learning to predict by the method of temporal differences

Reference 28

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Source-reported events for the cited work

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Observation 1fa07a46-5611-4109-8c48-654dcdd26bf6 · outbound

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Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation ac71ebbe-adae-4ae9-8bb1-1263ef7bbdc6 · outbound

This paper cites Deepmind control suite, 2018.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Deepmind control suite, 2018

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.324942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50bf035f-377f-4013-907d-d15fe03e0952 · outbound

This paper cites Action branching architectures for deep reinforcement learning.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Action branching architectures for deep reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.202948Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 423310dc-48f6-40a0-a343-1e8d9b011de3 · outbound

This paper cites A deep hierarchical approach to lifelong learning in minecraft.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning A deep hierarchical approach to lifelong learning in minecraft

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:48.122721Z

Source-reported events for the cited work

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Observation 0e3a9e91-1812-4068-9ed5-f05dd61910fb · outbound

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Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning and Schwartz, A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:49.108975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b510924-3e4f-40b8-9538-aa1f4b053952 · outbound

This paper cites dm\_control: Software and tasks for continuous control.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning dm\_control: Software and tasks for continuous control

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:48.288319Z

Source-reported events for the cited work

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Observation 7a28cff0-59c5-41b6-999e-9d67139228da · outbound

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Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Unresolved cited work

Reference 35

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Observation 43eeef58-3b37-41e5-9679-cb3fedc0bc5e · outbound

This paper cites an unresolved cited work.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0aa191d-f2e4-40fa-9ff7-402ae11b50b8 · outbound

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

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:48.813577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.