Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T22:01:21.826493Z
Paper Citation Record · LEDGER
Dynamical Priors as a Training Objective in Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2604.21464.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact3
- verified fuzzy18
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b0841072-eb51-41bf-82b6-079d528f6e56 · outbound
This paper cites Human -level control through deep reinforcement learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Human -level control through deep reinforcement learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.125110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 46b636fd-f7d9-4a18-9378-c45f3482a4ea · outbound
This paper cites Mastering the game of Go with deep neural networks and tree search.
Dynamical Priors as a Training Objective in Reinforcement Learning Mastering the game of Go with deep neural networks and tree search
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.146492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca323e17-2b27-49e0-9cd5-0b4a22a20f01 · outbound
This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Simple statistical gradient-following algorithms for connectionist reinforcement learning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.131435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4c46d430-a8c8-4f4e-a5f5-2685776fec45 · outbound
This paper cites The neural basis of decision making.
Dynamical Priors as a Training Objective in Reinforcement Learning The neural basis of decision making
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.134860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d40533a-2eee-4f33-9112-3d60497b6bc5 · outbound
This paper cites Probabilistic decision making by slow reverberation in cortical circuits.
Dynamical Priors as a Training Objective in Reinforcement Learning Probabilistic decision making by slow reverberation in cortical circuits
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.142723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 130c8a4e-d2e0-4dc7-b3b5-c468a1ce03a6 · outbound
This paper cites Neural correlates of evidence accumulation in a perceptual decision task.
Dynamical Priors as a Training Objective in Reinforcement Learning Neural correlates of evidence accumulation in a perceptual decision task
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.121672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa895780-f8e7-48bc-83b9-792ba508da39 · outbound
This paper cites Evidence accumulation detected in BOLD signal using slow perceptual decision making.
Dynamical Priors as a Training Objective in Reinforcement Learning Evidence accumulation detected in BOLD signal using slow perceptual decision making
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.118194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 357d8633-dedd-47f0-91ea-f3623a57a441 · outbound
This paper cites Unifying and generalizing models of neural dynamics during decision-making.
Dynamical Priors as a Training Objective in Reinforcement Learning Unifying and generalizing models of neural dynamics during decision-making
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:21:05.522791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 911d944e-3d32-4dba-a819-180218596201 · outbound
This paper cites Real-time recurrent reinforcement learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Real-time recurrent reinforcement learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.083563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 657e41f6-b68d-41a6-824f-bae00bd7de73 · outbound
This paper cites Continuous -time on -policy neural reinforcement learning of working memory tasks.
Dynamical Priors as a Training Objective in Reinforcement Learning Continuous -time on -policy neural reinforcement learning of working memory tasks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.101754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4b007fa9-f9c7-477d-9e98-c406e616fa68 · outbound
This paper cites Deep reinforcement learning with time-scale invariant memory.
Dynamical Priors as a Training Objective in Reinforcement Learning Deep reinforcement learning with time-scale invariant memory
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:21:05.555777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 28c2bfd4-0b19-4191-af5a-1fccc1acb1bf · outbound
This paper cites Multi -timescale memory dynamics extend task repertoire in a reinforcement learning network with attention -gated memory.
Dynamical Priors as a Training Objective in Reinforcement Learning Multi -timescale memory dynamics extend task repertoire in a reinforcement learning network with attention -gated memory
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.091214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 45021147-b9d9-4667-b059-861249a29d97 · outbound
This paper cites Non -stationary policy learning for multi-timescale multi -agent reinforcement learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Non -stationary policy learning for multi-timescale multi -agent reinforcement learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.088169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8054ab1-5b5a-4ef2-8415-edf7a329106c · outbound
This paper cites Simplified Temporal Consistency Reinforcement Learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Simplified Temporal Consistency Reinforcement Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:21:05.547354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0aab9c72-a295-4d2f-963e-4d1cdc3ef677 · outbound
This paper cites Exploiting multiple secondary reinforcers in policy gradient reinforcement learning.
Dynamical Priors as a Training Objective in Reinforcement Learning Exploiting multiple secondary reinforcers in policy gradient reinforcement learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.098206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c9360b7-5c19-4312-833e-84d49f574447 · outbound
This paper cites The diffusion decision model: theory and data for two-choice decision tasks.
Dynamical Priors as a Training Objective in Reinforcement Learning The diffusion decision model: theory and data for two-choice decision tasks
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.107344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78e26003-2031-48b0-b1ee-198094ca00e9 · outbound
This paper cites The physics of optimal decision making: a formal analysis of models of performance in two -alternative forced-choice tasks.
Dynamical Priors as a Training Objective in Reinforcement Learning The physics of optimal decision making: a formal analysis of models of performance in two -alternative forced-choice tasks
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.080027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bfbf78a2-a927-45a5-8070-8da1f8726779 · outbound
This paper cites Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey.
Dynamical Priors as a Training Objective in Reinforcement Learning Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.076178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98e1a712-432d-4f6a-992f-ce84a74f9ee2 · outbound
This paper cites Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task.
Dynamical Priors as a Training Objective in Reinforcement Learning Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.094637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 52f965d8-da2b-47d5-bb2f-a41bc3eea513 · outbound
This paper cites Reward-based training of recurrent neural networks for cognitive and value-based tasks.
Dynamical Priors as a Training Objective in Reinforcement Learning Reward-based training of recurrent neural networks for cognitive and value-based tasks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.137803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35bab022-206f-4287-a4c0-27bb397e690f · outbound
This paper cites Context-dependent computation by recurrent dynamics in prefrontal cortex.
Dynamical Priors as a Training Objective in Reinforcement Learning Context-dependent computation by recurrent dynamics in prefrontal cortex
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:15:41.128458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.