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Paper Citation Record · LEDGER

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments

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.

pith.paper-citation-record.v1
2501.05278 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:15.952566Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • verified fuzzy22
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4094d169-a15d-41f9-90ad-6628f80bdfaf · outbound

This paper cites Auction research evolving: Theorems and market designs.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Auction research evolving: Theorems and market designs

Reference 1

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verified fuzzy
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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.

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Observation b8ac9994-c5c0-41ea-831c-c5840c7a4962 · outbound

This paper cites Market design: auctions and matching.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Market design: auctions and matching

Reference 2

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raw_fallback, observed 2026-08-10T21:18:16.206419Z

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.

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Observation 5b75a1aa-0ab3-4356-8bb4-2aca4e959f76 · outbound

This paper cites Learning to bid with auctiongym.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Learning to bid with auctiongym

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T21:18:16.195429Z

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.

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Observation 82f8ef6c-baae-4381-8028-2f91e5cc99fc · outbound

This paper cites Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f7be9c94-4ea0-48b9-b66d-acdc5d9b90af · outbound

This paper cites Learning from logged implicit exploration data.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Learning from logged implicit exploration data

Reference 5

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raw_fallback, observed 2026-08-10T21:18:16.186180Z

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.

source=pdf_text observed=2026-08-10T21:18:15.888567Z digest=sha256:32e78d8ed5ed7db513f28bd2d354ba9c3da5dd312d4b357e93ade18b29db5195

Observation e3ea2dc4-d776-46b3-85d3-294a2084a81b · outbound

This paper cites Doubly robust policy evaluation and optimization.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Doubly robust policy evaluation and optimization

Reference 6

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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.

source=pdf_text observed=2026-08-10T21:18:15.892182Z digest=sha256:b25e2109af2a4a05ead2580fc674d64532572cf23abaff97fffe9ff5e14eeb39

Observation 7e4e078e-6f6f-4d3c-8039-219b364feb7d · outbound

This paper cites Doubly robust off-policy evaluation with shrink- age.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Doubly robust off-policy evaluation with shrink- age

Reference 7

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raw_fallback, observed 2026-08-10T21:18:16.168037Z

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.

source=pdf_text observed=2026-08-10T21:18:15.895375Z digest=sha256:323638e842ae4677f32fb692ed63a89e5a628059015d440b2ab1fdf11b0a630f

Observation 2729b6dd-cf33-47b6-9697-a3e13b6210d3 · outbound

This paper cites The self-normalized estimator for counterfactual learning.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments The self-normalized estimator for counterfactual learning

Reference 8

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raw_fallback, observed 2026-08-10T21:18:16.156991Z

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.

source=pdf_text observed=2026-08-10T21:18:15.898266Z digest=sha256:9483c0c0f43142997c1994775c9d6f53baf23fc219dad0ac3593e1ddbc04705b

Observation dd41cf89-4a39-42ec-b207-5849afb30981 · outbound

This paper cites Intrinsically efficient, stable, and bounded off-policy evaluation for reinforcement learn- ing.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Intrinsically efficient, stable, and bounded off-policy evaluation for reinforcement learn- ing

Reference 9

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raw_fallback, observed 2026-08-10T21:18:16.144879Z

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.

source=pdf_text observed=2026-08-10T21:18:15.901714Z digest=sha256:0d5f018c5ded9f59b9af3aee05ba8dd98bf131744e3adc29b8f12dd37a91ecb5

Observation 74922745-bf37-4605-b4f4-417ae90a88ec · outbound

This paper cites The offset tree for learning with partial labels.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments The offset tree for learning with partial labels

Reference 10

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raw_fallback, observed 2026-08-10T21:18:16.133556Z

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.

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Observation 7c74382a-ab48-4a9a-ac0d-39cad6d5486e · outbound

This paper cites More robust doubly robust off-policy evaluation.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments More robust doubly robust off-policy evaluation

Reference 11

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raw_fallback, observed 2026-08-10T21:18:16.124154Z

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.

source=pdf_text observed=2026-08-10T21:18:15.910413Z digest=sha256:879051f40019895556dbd16d52302cc278dc30de41b4f1accd407edd1b5fded8

Observation 4945d4fa-45d0-40bc-b5b3-9ed27fa960a5 · outbound

This paper cites Cab: Continuous adaptive blending for policy eval- uation and learning.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Cab: Continuous adaptive blending for policy eval- uation and learning

Reference 12

Resolution
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raw_fallback, observed 2026-08-10T21:18:16.113668Z

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.

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Observation 82a33328-e364-4b98-8ccf-0de1ebe99ec8 · outbound

This paper cites Policy evaluation and optimiza- tion with continuous treatments.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Policy evaluation and optimiza- tion with continuous treatments

Reference 13

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raw_fallback, observed 2026-08-10T21:18:16.103512Z

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.

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Observation 56709e02-a10e-41f6-bfd7-61f59524b155 · outbound

This paper cites Virtual metrology in long batch processes using machine learning.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Virtual metrology in long batch processes using machine learning

Reference 14

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raw_fallback, observed 2026-08-10T21:18:16.093517Z

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.

source=pdf_text observed=2026-08-10T21:18:15.921511Z digest=sha256:695ac89933ed2d293fb13fd5c36f4011b005f4ef75d8098326c3a5a3ef72abdb

Observation fe42a95c-b022-4cd3-9fe2-f617305c4afd · outbound

This paper cites Probabilistic evaluation of counterfactual queries.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Probabilistic evaluation of counterfactual queries

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T21:18:16.084121Z

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.

source=pdf_text observed=2026-08-10T21:18:15.924756Z digest=sha256:bb369b2f4a7de26f080b444ae809be8bc932583c2e9d8df1cde1f39cb7f39a98

Observation 22f7dc0d-b753-4d73-81b2-2e2e0ded4e9b · outbound

This paper cites Off-policy evaluation for large action spaces via embeddings.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Off-policy evaluation for large action spaces via embeddings

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T21:18:16.074036Z

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.

source=pdf_text observed=2026-08-10T21:18:15.929145Z digest=sha256:58db9a6d89ef330c8f8e7a77c4d5c4e44c574f24cb9547a2fe5b657dc9fbc313

Observation c4da51d8-d093-405f-97b7-25b470d2d789 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments Optuna: A next-generation hyperparameter optimization framework

Reference 17

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raw_fallback, observed 2026-08-10T21:18:16.063573Z

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.

source=pdf_text observed=2026-08-10T21:18:15.932478Z digest=sha256:c6e81e4bce3216242500712c919435c3a402d347ee84b16d3b276fb581cd88b8

Observation ae0ffb38-d635-4138-bdbe-6a48b3bbb4d7 · outbound

This paper cites En[·] is the empirical average over n observations in D.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments En[·] is the empirical average over n observations in D

Reference 18

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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.

source=pdf_text observed=2026-08-10T21:18:15.935874Z digest=sha256:1296175ded19982c972f0eba7d85ca81c4712ca66ec3f0f53c42454173620db4

Observation 4c972896-f2d0-468a-961a-bda9fef0066d · outbound

This paper cites This estimator is not unbiased even when the behavior policy is known.

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments This estimator is not unbiased even when the behavior policy is known

Reference 19

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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.

source=pdf_text observed=2026-08-10T21:18:15.939549Z digest=sha256:01c69af0377a83f69a29d14372a369556e46cef2d65a430bffa0b01a54566e3b

Observation a7e0bebb-f635-43e7-82bc-fc8d64ffd943 · outbound

This paper cites It then uses the estimated rewards to estimate the policy value as follows.

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

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raw_fallback, observed 2026-08-10T21:18:16.029842Z

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.

source=pdf_text observed=2026-08-10T21:18:15.942402Z digest=sha256:aad30d7aa6154c0ca6706fffcefc3710c135e874ba9be5d7655035dd40a851d6

Observation 181dc83e-e081-4b77-a2d5-b16facb8fc14 · outbound

This paper cites It then uses the estimated rewards to estimate the policy value as follows.

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

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:18:15.945405Z digest=sha256:9641be8e8eaab5d214caecbb368df79761bebda98e1a337b35469745e5ca29eb

Observation db3ee01f-1733-40fb-8938-f054262dc5f3 · outbound

This paper cites 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).

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

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:18:15.948869Z digest=sha256:7abf96c2bed17767b3faca64d1b3c69e87b84a28a6427ed0ebc6a3b6d98f3223

Observation dcef2213-588d-4eb6-b2c0-535a449d6681 · outbound

This paper cites 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.

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

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raw_fallback, observed 2026-08-10T21:18:15.995301Z

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.

source=pdf_text observed=2026-08-10T21:18:15.952566Z digest=sha256:8ee4707e365bf347e113f86e3fc6f11c6c4fcc83a37d12df69fbbcd378d7bac1

Pith citing papers

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