Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:16:05.614245Z
Paper Citation Record · LEDGER
Compute-Optimal Scaling for Value-Based Deep RL
As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 6 inbound Pith citation observations for arXiv:2508.14881.
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 2026-08-06T00:32:44.606265Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T23:09:12.779933Z
Reference resolution
9 of 9 outbound references displayed
- verified exact4
- verified fuzzy2
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1ccfd86b-4a57-46d6-87c7-972f8059a92b · outbound
This paper cites Nonparametric Bayesian Knockoff Generators for Feature Selection Under Complex Data Structure.
Compute-Optimal Scaling for Value-Based Deep RL Nonparametric Bayesian Knockoff Generators for Feature Selection Under Complex Data Structure
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T18:16:06.182081Z
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 213a2820-3ec5-4580-934e-372aebbdae81 · outbound
This paper cites Proof of Theorem 1 Theorem 2 (Exchangeability of Conditional Residual Knockoffs) Let X = (X1,.
Compute-Optimal Scaling for Value-Based Deep RL Proof of Theorem 1 Theorem 2 (Exchangeability of Conditional Residual Knockoffs) Let X = (X1,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:16:06.771155Z
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 bdcb4d25-f2ad-4d3d-b940-632c9298a143 · outbound
This paper cites A Power and Prediction Analysis for Knockoffs with Lasso Statistics.
Compute-Optimal Scaling for Value-Based Deep RL A Power and Prediction Analysis for Knockoffs with Lasso Statistics
Reference 2007
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:16:05.443053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11cbf698-0a70-49a4-951f-fa47767e5274 · outbound
This paper cites Adaptive Non-Parametric Regression With the $K$-NN Fused Lasso.
Compute-Optimal Scaling for Value-Based Deep RL Adaptive Non-Parametric Regression With the $K$-NN Fused Lasso
Reference 2011
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:16:05.975435Z
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 3484e5c6-17a5-4457-a2f8-1c6ae62b6061 · outbound
This paper cites A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics.
Compute-Optimal Scaling for Value-Based Deep RL A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:16:05.528758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5aba586-eb82-4c99-acf9-2cd645148e6d · outbound
This paper cites Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection.
Compute-Optimal Scaling for Value-Based Deep RL Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection
Reference 2020
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:16:06.368355Z
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 e89ab147-a948-4324-ab13-7a1a9194ff83 · outbound
This paper cites doi: 10.7554/eLife.75244.
Compute-Optimal Scaling for Value-Based Deep RL doi: 10.7554/eLife.75244
Reference 2022
- Resolution
- verified exact
- doi, observed 2026-08-05T18:16:05.756036Z
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 546c1c5c-786e-4f15-abe2-b88b3828186a · outbound
This paper cites Updated 2023 Mar.
Compute-Optimal Scaling for Value-Based Deep RL Updated 2023 Mar
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:16:06.959300Z
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 dbf59edd-40d9-4dc9-95fc-137caed5c5ed · outbound
This paper cites Sequential knockoffs for continuous and categorical predictors: with application to a large Psoriatic Arthritis clinical trial pool.
Compute-Optimal Scaling for Value-Based Deep RL Sequential knockoffs for continuous and categorical predictors: with application to a large Psoriatic Arthritis clinical trial pool
Reference 2024
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:16:06.561699Z
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.
Pith citing papers
Observation f5882310-8b74-4c2e-9fd0-4d303900a6ea · inbound
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Compute-Optimal Scaling for Value-Based Deep RL
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:41:08.015781Z
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 6fd23155-1fce-4dde-b624-2185433e6559 · inbound
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.
Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Compute-Optimal Scaling for Value-Based Deep RL
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:41:24.416657Z
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 543dd4ce-ed1a-4216-a681-0da75e26635b · inbound
When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.
When Does Non-Uniform Replay Matter in Reinforcement Learning? Compute-Optimal Scaling for Value-Based Deep RL
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:36:24.634953Z
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 d904dbee-d795-4951-9703-540da200e088 · inbound
When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.
When Does Non-Uniform Replay Matter in Reinforcement Learning? Compute-Optimal Scaling for Value-Based Deep RL
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:32:24.820119Z
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 761007f4-19f8-40aa-b515-f01edcfb3cc0 · inbound
When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.
When Does Non-Uniform Replay Matter in Reinforcement Learning? Compute-Optimal Scaling for Value-Based Deep RL
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:09:12.784033Z
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 a7e7be37-cb70-45f3-9d66-f0ccdbc0c06b · inbound
ReBRAC-v2: The Return of the King cites this paper.
ReBRAC-v2: The Return of the King Compute-Optimal Scaling for Value-Based Deep RL
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:32:44.606265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.