Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:07:25.450652Z
Paper Citation Record · LEDGER
Dynamic Reinforcement Learning for Actors
As of 9 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2502.10200.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T06:36:56.956656Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
69 of 69 outbound references displayed
- verified exact9
- verified fuzzy26
- unresolved33
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 1ec14da0-79da-4785-90b6-29f5601b08a4 · outbound
This paper cites Can I say, now machines can think?.
Dynamic Reinforcement Learning for Actors Can I say, now machines can think?
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T19:07:26.397047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28349bd4-8bc5-4941-8b46-6ebec2dfccc2 · outbound
This paper cites Aihara, T.
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.160579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c0abd69-1693-432d-b8c0-603607caf7f3 · outbound
This paper cites Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective.
Dynamic Reinforcement Learning for Actors Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T19:07:26.315003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1c7bb315-e3da-4197-bf53-2ca238a407ad · outbound
This paper cites Andrychowicz, F.
Dynamic Reinforcement Learning for Actors Andrychowicz, F
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:27.043286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 259cb42c-a97a-4417-a27d-fcfc03b285b6 · outbound
This paper cites Azizi and G.
Dynamic Reinforcement Learning for Actors Azizi and G
Reference 5
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T19:07:26.296953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 377bd31a-6354-49d7-811a-6b6bbe73a8d4 · outbound
This paper cites Berlyne and W.
Dynamic Reinforcement Learning for Actors Berlyne and W
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:27.028649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c853da98-0f1a-4364-b8fe-df3bc71d3fb0 · outbound
This paper cites Active Divergence with Generative Deep Learning -- A Survey and Taxonomy.
Dynamic Reinforcement Learning for Actors Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.186334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c484f11f-3c07-4f53-bd01-8ebdf8385ffb · outbound
This paper cites Statement on AI risk, 2025 a.
Dynamic Reinforcement Learning for Actors Statement on AI risk, 2025 a
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:27.016320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ead8142e-04d5-40a2-b5b3-3867c44848f2 · outbound
This paper cites An overview of catastrophic AI risks, 2025 b.
Dynamic Reinforcement Learning for Actors An overview of catastrophic AI risks, 2025 b
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:27.003975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c52952a1-8c40-4e3e-a4ef-03244c2af132 · outbound
This paper cites Art or Artifice? Large Language Models and the False Promise of Creativity.
Dynamic Reinforcement Learning for Actors Art or Artifice? Large Language Models and the False Promise of Creativity
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.198212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26a6625f-4522-48ef-b3ec-5a134256a63d · outbound
This paper cites The alternative uses test, 2018.
Dynamic Reinforcement Learning for Actors The alternative uses test, 2018
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.991298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4ddcb73b-9a6c-4eb9-8b9a-b7c24c5ae6b5 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.978839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9aa920ac-df9a-4ec0-a580-31af5c6ce784 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-07T19:07:25.549972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6541dd2-6962-439b-b162-da5c76e9c24d · outbound
This paper cites Creative Beam Search: LLM-as-a-Judge For Improving Response Generation.
Dynamic Reinforcement Learning for Actors Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.214486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c6b79a1-bce9-445a-b509-10bc37ffacc5 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.965071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04004886-f679-42fd-b756-62e850f00150 · outbound
This paper cites Fujimoto, H.
Dynamic Reinforcement Learning for Actors Fujimoto, H
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.951562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 95473fc4-335b-4e89-9cc1-bfb984da374f · outbound
This paper cites Research priorities for robust and beneficial artificial intelligence: An open letter, 2015.
Dynamic Reinforcement Learning for Actors Research priorities for robust and beneficial artificial intelligence: An open letter, 2015
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.937581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d300d54c-f16b-44d4-9b4f-e2e93dc2e476 · outbound
This paper cites Large Language Models Are Not Strong Abstract Reasoners.
Dynamic Reinforcement Learning for Actors Large Language Models Are Not Strong Abstract Reasoners
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.232473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a2574c0-1756-4d9d-ae57-7a3cc3da2e9d · outbound
This paper cites Goto and K.
Dynamic Reinforcement Learning for Actors Goto and K
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.922747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ccef354b-ffe4-41ca-990e-653835134b3e · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.906795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1bbccc8e-a87c-4b59-bdf6-0ef6844955aa · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.245523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac096356-3161-4daf-8dfa-c9693e4791c9 · outbound
This paper cites Haarnoja, A.
Dynamic Reinforcement Learning for Actors Haarnoja, A
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.892095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7dbe6518-1db2-4038-85dc-f67eeb01d6bc · outbound
This paper cites Huang, S.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.878920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0912888d-f5fa-42a4-a746-fd74fd9a6fba · outbound
This paper cites Creativity in AI: Progresses and Challenges.
Dynamic Reinforcement Learning for Actors Creativity in AI: Progresses and Challenges
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.256935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 438312f1-2ed0-43a6-87ba-195065a4c6a8 · outbound
This paper cites BRAINTEASER: Lateral Thinking Puzzles for Large Language Models.
Dynamic Reinforcement Learning for Actors BRAINTEASER: Lateral Thinking Puzzles for Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.260570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47709292-6a33-488f-a45b-f0f35bd9f59c · outbound
This paper cites Creativity.
Dynamic Reinforcement Learning for Actors Creativity
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.864614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 47f466da-ef4c-4232-baa8-1c231d480aff · outbound
This paper cites Khachaturyan, S.
Dynamic Reinforcement Learning for Actors Khachaturyan, S
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.850980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b5361bcc-dd35-4e15-ab15-ab4093a9582c · outbound
This paper cites Koivisto and S.
Dynamic Reinforcement Learning for Actors Koivisto and S
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.837745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4f34e5fa-38a8-4f73-aece-c427366422b1 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.824897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e94891ad-91c4-41bc-9e3d-34f99356c730 · outbound
This paper cites Kurzweil.
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.809675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation baa3fa8b-e7ae-4a56-b9f9-4bfb0d0b1347 · outbound
This paper cites AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
Dynamic Reinforcement Learning for Actors AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.285924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64867c5a-43a9-479a-8ab3-647acc2032cd · outbound
This paper cites Matsuki and K.
Dynamic Reinforcement Learning for Actors Matsuki and K
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.795469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dcc27c0c-fdb8-4a56-bff2-43d80cff4c55 · outbound
This paper cites Matsuki, Y.
Dynamic Reinforcement Learning for Actors Matsuki, Y
Reference 33
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T19:07:26.063998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d62fe747-6738-4245-bdb7-464459f28e64 · outbound
This paper cites McCulloch and W.
Dynamic Reinforcement Learning for Actors McCulloch and W
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.781625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a623cb31-b245-4796-abf5-cd563d500e77 · outbound
This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.
Dynamic Reinforcement Learning for Actors Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.306111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b7c4dc0-c179-4bb3-b4ed-4e10f2f5aba2 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.311005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4c17a51-bb00-45b6-ad81-8d7f197e4ec4 · outbound
This paper cites Asynchronous Methods for Deep Reinforcement Learning.
Dynamic Reinforcement Learning for Actors Asynchronous Methods for Deep Reinforcement Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.315321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d1bdc33-c100-4c6d-9621-38acb2cb02f0 · outbound
This paper cites Characterising the Creative Process in Humans and Large Language Models.
Dynamic Reinforcement Learning for Actors Characterising the Creative Process in Humans and Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.319587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e3cc862-1886-4615-8d71-feb6f9f05d46 · outbound
This paper cites Newell, J.
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.768498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba9a4523-4bae-4a4c-995c-0f04e6588a3c · outbound
This paper cites OpenAI Five , 2019.
Dynamic Reinforcement Learning for Actors OpenAI Five , 2019
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.754853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7d817cc5-7d64-4846-acb4-c42cad585af0 · outbound
This paper cites GPT-4 , 2023.
Dynamic Reinforcement Learning for Actors GPT-4 , 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.742591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 45d1ec93-e47c-4a30-bd16-4aa64f3ad1b2 · outbound
This paper cites GPT-4 Technical Report.
Dynamic Reinforcement Learning for Actors GPT-4 Technical Report
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6f3f176-c7af-4d0e-9bfd-c363115b7966 · outbound
This paper cites Is Temperature the Creativity Parameter of Large Language Models?.
Dynamic Reinforcement Learning for Actors Is Temperature the Creativity Parameter of Large Language Models?
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.339154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd14ff61-dea1-47f7-8e25-9b68f6f0f1df · outbound
This paper cites Pichai, D.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.731960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbf03383-89cf-482e-a3d6-80f36187af94 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.719324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f5e8aa09-3ccf-4ba8-b3ae-a5403abb21f3 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.677348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b260205c-741e-4f7d-b7e2-88b0f7dcb6c9 · outbound
This paper cites Sawatsubashi, M.
Dynamic Reinforcement Learning for Actors Sawatsubashi, M
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.587740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b462b86-7a7d-4100-9c3a-a52baeb23fc6 · outbound
This paper cites Prioritized Experience Replay.
Dynamic Reinforcement Learning for Actors Prioritized Experience Replay
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.360788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8545b7-1c80-47e6-b156-7e3e5479e483 · outbound
This paper cites Schrittwieser, I.
Dynamic Reinforcement Learning for Actors Schrittwieser, I
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.365514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f6d76df-97fd-4a7e-9849-4024a80b709c · outbound
This paper cites Schulman, F.
Dynamic Reinforcement Learning for Actors Schulman, F
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.552584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4968dc46-e457-406f-a229-667915bec91f · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.536810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52e13e57-b625-484f-8339-6315628f90fc · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 52
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-07T19:07:25.518668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 54b98b14-b07b-4a97-9015-c9bd09a26fa0 · outbound
This paper cites Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network.
Dynamic Reinforcement Learning for Actors Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T19:07:25.853708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 33424638-049a-4dd4-87a1-231258f290b2 · outbound
This paper cites Functions that Emerge through End-to-End Reinforcement Learning - The Direction for Artificial General Intelligence -.
Dynamic Reinforcement Learning for Actors Functions that Emerge through End-to-End Reinforcement Learning - The Direction for Artificial General Intelligence -
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T19:07:25.836100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f2d4dfe-5aba-4b7e-a397-15e3d7adb2ef · outbound
This paper cites Shibata and K.
Dynamic Reinforcement Learning for Actors Shibata and K
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.520135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 44d3b80a-8a8e-4fdd-b614-855afaf68761 · outbound
This paper cites Shibata and Y.
Dynamic Reinforcement Learning for Actors Shibata and Y
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.505885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5ec49e9a-0d84-426a-b665-2f8f5000210e · outbound
This paper cites Shibata and Y.
Dynamic Reinforcement Learning for Actors Shibata and Y
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.491095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5bb07383-ff04-4a80-947c-f193d8a4c461 · outbound
This paper cites Shibata, T.
Dynamic Reinforcement Learning for Actors Shibata, T
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T19:07:26.476426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba4ae6c7-14e9-4da0-b737-dc48e0b74834 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.462242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87713aa5-2dcf-4f16-8bca-6267426a7050 · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.409586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb6d35b8-cef8-4e61-82b7-2004467e4f7f · outbound
This paper cites Evaluating the Factual Consistency of Large Language Models Through News Summarization.
Dynamic Reinforcement Learning for Actors Evaluating the Factual Consistency of Large Language Models Through News Summarization
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.414178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc849c82-3175-4ab0-913b-26b928d99c6c · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T19:07:26.433177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86ff78fb-4582-4079-b070-c53680d4c48e · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.425137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ba79934-6a43-44e3-927a-48126c95bca5 · outbound
This paper cites Attention Is All You Need.
Dynamic Reinforcement Learning for Actors Attention Is All You Need
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.429336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ee40a16-25a4-4651-bd07-51b1109295b4 · outbound
This paper cites Vinyals, I.
Dynamic Reinforcement Learning for Actors Vinyals, I
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.433908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 218db37f-57fb-4ea6-bc5c-381fbf37392b · outbound
This paper cites an unresolved cited work.
Dynamic Reinforcement Learning for Actors Unresolved cited work
Reference 66
- Resolution
- verified exact
- doi, observed 2026-08-07T19:07:25.496759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f1ca0b8-3041-4d76-a353-93973d99a0a4 · outbound
This paper cites Yamashita and J.
Dynamic Reinforcement Learning for Actors Yamashita and J
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.441917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac7a4ff4-5507-4e75-8529-9f068298d984 · outbound
This paper cites Yudkowsky.
Reference 68
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T19:07:25.705668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c005c9ce-927a-41a9-a49f-f7ab3b8cf065 · outbound
This paper cites Assessing and Understanding Creativity in Large Language Models.
Dynamic Reinforcement Learning for Actors Assessing and Understanding Creativity in Large Language Models
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.450652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 7be5454f-03bf-4c06-9b4d-673946b1e8ed · inbound
Temporally smoothed incremental model-based heuristic dynamic programming for command-filtered cascaded online learning flight control cites this paper.
Temporally smoothed incremental model-based heuristic dynamic programming for command-filtered cascaded online learning flight control Dynamic Reinforcement Learning for Actors
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:37:07.045942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.