Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:15.952566Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.05278.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:15.952566Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4094d169-a15d-41f9-90ad-6628f80bdfaf · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Auction research evolving: Theorems and market designs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b8ac9994-c5c0-41ea-831c-c5840c7a4962 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Market design: auctions and matching
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5b75a1aa-0ab3-4356-8bb4-2aca4e959f76 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Learning to bid with auctiongym
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82f8ef6c-baae-4381-8028-2f91e5cc99fc · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7be9c94-4ea0-48b9-b66d-acdc5d9b90af · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Learning from logged implicit exploration data
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e3ea2dc4-d776-46b3-85d3-294a2084a81b · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Doubly robust policy evaluation and optimization
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7e4e078e-6f6f-4d3c-8039-219b364feb7d · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Doubly robust off-policy evaluation with shrink- age
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2729b6dd-cf33-47b6-9697-a3e13b6210d3 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments The self-normalized estimator for counterfactual learning
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dd41cf89-4a39-42ec-b207-5849afb30981 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Intrinsically efficient, stable, and bounded off-policy evaluation for reinforcement learn- ing
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74922745-bf37-4605-b4f4-417ae90a88ec · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments The offset tree for learning with partial labels
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c74382a-ab48-4a9a-ac0d-39cad6d5486e · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments More robust doubly robust off-policy evaluation
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4945d4fa-45d0-40bc-b5b3-9ed27fa960a5 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Cab: Continuous adaptive blending for policy eval- uation and learning
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82a33328-e364-4b98-8ccf-0de1ebe99ec8 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Policy evaluation and optimiza- tion with continuous treatments
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 56709e02-a10e-41f6-bfd7-61f59524b155 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Virtual metrology in long batch processes using machine learning
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fe42a95c-b022-4cd3-9fe2-f617305c4afd · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Probabilistic evaluation of counterfactual queries
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 22f7dc0d-b753-4d73-81b2-2e2e0ded4e9b · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Off-policy evaluation for large action spaces via embeddings
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c4da51d8-d093-405f-97b7-25b470d2d789 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Optuna: A next-generation hyperparameter optimization framework
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ae0ffb38-d635-4138-bdbe-6a48b3bbb4d7 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments En[·] is the empirical average over n observations in D
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4c972896-f2d0-468a-961a-bda9fef0066d · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments This estimator is not unbiased even when the behavior policy is known
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a7e0bebb-f635-43e7-82bc-fc8d64ffd943 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments It then uses the estimated rewards to estimate the policy value as follows
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 181dc83e-e081-4b77-a2d5-b16facb8fc14 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments It then uses the estimated rewards to estimate the policy value as follows
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation db3ee01f-1733-40fb-8938-f054262dc5f3 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments The SNDR estimator computes the policy value of the evaluation policy πe as ˆVSNDR(πe; D, ˆq) :=En ˆq(xi, πe) +w(xi, ai)(ri − ˆq(xi, ai)) En[w(xi, ai)] (5)
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dcef2213-588d-4eb6-b2c0-535a449d6681 · outbound
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments This binning process can obscure subtle differences within the data, making it challenging to evaluate small changes, as these nuances are often lost within the bins
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
No inbound Pith citation observations are available.