Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:54:25.056198Z
Paper Citation Record · LEDGER
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2502.04297.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:36.738417Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:49:58.378535Z
Reference resolution
47 of 47 outbound references displayed
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- unresolved28
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 230d1686-d63e-494c-9139-c4d3be192c8a · outbound
This paper cites Adamczak.
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a93c62be-5abe-42ab-ad54-7e6ec2c063f0 · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 2
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Observation c0c2cfc0-8735-4964-89e2-9a9088cb989b · outbound
This paper cites Bakry, F.
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0eee9270-c9d9-4078-8ab2-44002e4956e1 · outbound
This paper cites Bakry and M.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Bakry and M
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation ad1bd87d-ec58-416a-8e02-5e51db1b9a73 · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 5
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This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 6
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Observation 90fa4593-d828-4ea1-be7c-4ed325972d2d · outbound
This paper cites Duoandikoetxea.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Duoandikoetxea
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation fea6e0b5-15de-470b-a4f0-bd67a7d75d6e · outbound
This paper cites Policy evaluation from a single path: Multi-step methods, mixing and mis-specification.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Policy evaluation from a single path: Multi-step methods, mixing and mis-specification
Reference 8
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Source-reported events for the cited work
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Observation ce6721f4-72c5-420c-8c5b-f05afe289a3e · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation f14339bd-36ae-4dd6-914c-2cd9e7c7f5ac · outbound
This paper cites Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
Reference 10
- Resolution
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This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 11
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Source-reported events for the cited work
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Observation a88a1315-79cd-4ca3-9ab3-b4e2eef8ba9a · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 59aaa2dd-8ce3-439a-b589-cb3e70fef47b · outbound
This paper cites Jia and X.
Reference 13
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b582198c-a6e1-4111-838e-00393962c9c3 · outbound
This paper cites Jia and X.
Reference 14
- Resolution
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Reference 15
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 16
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Kobeissi and F
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 914b9ea0-8502-4e14-9c69-d4d24e4132fe · outbound
This paper cites Konda and J.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Konda and J
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 4dce5a64-e32c-436e-b8e0-01b49296c123 · outbound
This paper cites Learning subgaussian classes : Upper and minimax bounds.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Learning subgaussian classes : Upper and minimax bounds
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 42cf9aad-3bc5-42cb-9c17-1ab8a686aef4 · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs A Neural Network Approach for Stochastic Optimal Control
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 9d709c63-f08e-4e09-aba7-b73b511e9277 · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Estimates of the numerical density for stochastic differential equations with multiplicative noise
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e7e2f04-e310-4619-a2d2-5a3e21293374 · outbound
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Reference 22
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 23
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Source-reported events for the cited work
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Observation f74986be-9f41-43c8-baca-2821f139dbb8 · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 24
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This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 25
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Observation e0b2e113-d12c-4cd7-99d3-b0bc75334f23 · outbound
This paper cites Menozzi, A.
Reference 26
- Resolution
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3cb19114-a1e7-4a24-897f-68aec9fe8ae9 · outbound
This paper cites Marinelli and M.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Marinelli and M
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation d8f86f74-1241-4013-97e0-63bfc346e4a5 · outbound
This paper cites On Bellman equations for continuous-time policy evaluation I: discretization and approximation.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs On Bellman equations for continuous-time policy evaluation I: discretization and approximation
Reference 28
- Resolution
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Reference 29
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Observation 2c77a5ed-d608-426a-b16f-6b7d920c1492 · outbound
This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Dota 2 with Large Scale Deep Reinforcement Learning
Reference 30
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Reference 31
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Observation 94f683a3-5b48-4deb-9cc6-725451f012fd · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Ruthotto, S
Reference 32
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Reference 33
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Observation a19a3845-e278-4260-9483-36896893c894 · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 34
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Srikant and L
Reference 35
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Source-reported events for the cited work
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Observation 1256de82-cdbb-4ef3-b095-dc4786aa259d · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Szepesv \'a ri
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 66da2734-9fb7-44d8-9da1-7749e3833efa · outbound
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Reference 37
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Unavailable: canonical work link unavailable.
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Reference 38
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Observation a707d3fe-b73f-4a04-9cca-4fa0d0f0988d · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 39
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Source-reported events for the cited work
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 40
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Source-reported events for the cited work
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Observation 4dc077ae-75a6-43dc-b3e4-6a18e360a941 · outbound
This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Reference 42
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76c78918-78bb-4bb9-8541-683c4766ffa0 · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8ef48b8b-d7a3-4c4c-90a6-ebf64914fafd · outbound
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Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92faa555-29a8-4587-92f6-a7c85af1c342 · outbound
This paper cites an unresolved cited work.
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Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df08fc17-80f3-468f-8507-5af48db0deb1 · outbound
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Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 295ad4b1-6211-455d-bdaa-c4dcdbed9aad · outbound
This paper cites an unresolved cited work.
Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Unresolved cited work
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation e4051267-c4d5-497c-8c65-eecdcd60cc37 · inbound
Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models cites this paper.
Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc64ca52-46d5-4a31-86f6-2579e210d50a · inbound
A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients cites this paper.
A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.