Paper Citation Record · LEDGER

Best-Arm Identification with Generative Proxy

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2607.06879.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.06879 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:19:36.484457Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:19:37.183412Z

Reference resolution

23 of 23 outbound references displayed

verified exact8
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier2
metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0fa3a16-f4e9-440c-a9c1-741dbf22e005 · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

Best-Arm Identification with Generative Proxy PPI++: Efficient Prediction-Powered Inference

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:56:38.379534Z

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 da42326b-259e-42d9-8dfa-2a19e109cb06 · outbound

This paper cites 2020 , journal =.

Best-Arm Identification with Generative Proxy 2020 , journal =

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T23:56:38.374435Z

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 c6de9324-ebae-48a1-a349-8c03a596d542 · outbound

This paper cites The ﬁrst passage probl em for a continuous Markov pro- cess.

Best-Arm Identification with Generative Proxy The ﬁrst passage probl em for a continuous Markov pro- cess

Reference 3

Resolution: malformed identifier; arxiv_id, observed 2026-07-09T23:56:38.466190Z

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 f14708e8-ce8c-4993-abb5-07dff652334a · outbound

This paper cites Using llms for market research.Harvard business school marketing unit working paper, (23-062):60.

Best-Arm Identification with Generative Proxy Using llms for market research.Harvard business school marketing unit working paper, (23-062):60

Reference 4

Resolution: metadata mismatch; doi, observed 2026-07-09T23:56:38.384339Z

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 52868c42-42c5-4882-b794-a473bbfbb698 · outbound

This paper cites (2000) Simulation budget allocation for further enhancing the efficiency of ordinal optimization.

Best-Arm Identification with Generative Proxy (2000) Simulation budget allocation for further enhancing the efficiency of ordinal optimization

Reference 5

Resolution: metadata mismatch; doi, observed 2026-07-09T23:56:38.396168Z

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 b75cd26b-029c-475f-9870-0e4f96389049 · outbound

This paper cites Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution.

Best-Arm Identification with Generative Proxy Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:56:38.468730Z

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 39c32ec7-c822-4df1-95fd-e2e76625c18e · outbound

This paper cites Glasserman, Paul.

Best-Arm Identification with Generative Proxy Glasserman, Paul

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T23:56:38.748798Z

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 22191c05-032a-4b34-b217-8b5b8f4e90c2 · outbound

This paper cites 2003.Monte Carlo Methods in Financial Engineering.

Best-Arm Identification with Generative Proxy 2003.Monte Carlo Methods in Financial Engineering

Reference 8

Resolution: metadata mismatch; doi, observed 2026-07-09T23:56:38.392450Z

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 d18e24c2-c3ca-4545-91bf-baa1f0c4dcb1 · outbound

This paper cites and Singh, A.

Best-Arm Identification with Generative Proxy and Singh, A

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T23:56:38.403614Z

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 5d5e1442-ef2e-4fa1-bc4a-3c6cbc6ba3a6 · outbound

This paper cites and Toubia, O.

Best-Arm Identification with Generative Proxy and Toubia, O

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T23:56:38.382298Z

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 39fab64f-2dcb-4561-b7c3-a831ed326c8c · outbound

This paper cites IEEE Journal on Selected Areas in Information Theory2(2) 549–563.

Best-Arm Identification with Generative Proxy IEEE Journal on Selected Areas in Information Theory2(2) 549–563

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-09T23:56:38.388791Z

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 b22c71bd-d3fb-4782-ab2d-9d379c5d8df5 · outbound

This paper cites doi:10.1007/s42524-021-0152-6.

Best-Arm Identification with Generative Proxy doi:10.1007/s42524-021-0152-6

Reference 12

Resolution: verified exact; doi, observed 2026-07-09T23:56:38.386119Z

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 ef4b878a-cede-4aaf-aae8-c01694a36821 · outbound

This paper cites Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards.

Best-Arm Identification with Generative Proxy Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:56:38.364416Z

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 c1eaefe7-63a4-4b10-9218-d118bc1bd167 · outbound

This paper cites doi:10.1145/ 502109.502111.

Best-Arm Identification with Generative Proxy doi:10.1145/ 502109.502111

Reference 14

Resolution: malformed identifier; arxiv_id, observed 2026-07-09T23:56:38.463435Z

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 2fcb2ee4-adeb-4dce-b153-3e0c14e2c61f · outbound

This paper cites doi:10.48550/arXiv.2510.00073.

Best-Arm Identification with Generative Proxy doi:10.48550/arXiv.2510.00073

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-09T23:56:38.369774Z

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 a181c558-c7f6-47f2-b46d-8fe749bd65fe · outbound

This paper cites Working Paper 33344, National Bureau of Economic Research.

Best-Arm Identification with Generative Proxy Working Paper 33344, National Bureau of Economic Research

Reference 16

Resolution: verified exact; doi, observed 2026-07-09T23:56:38.400570Z

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 24b0f792-c7e1-4cc4-b727-8c1743e9e30a · outbound

This paper cites Quantum error thresholds for gauge-redundant digitiza- tions of lattice field theories.

Best-Arm Identification with Generative Proxy Quantum error thresholds for gauge-redundant digitiza- tions of lattice field theories

Reference 17

Resolution: metadata mismatch; doi, observed 2026-07-09T23:56:38.371817Z

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 6f1e1b0a-c502-4653-a0aa-62923e82787a · outbound

This paper cites doi:10.1287/mnsc.2014.

Best-Arm Identification with Generative Proxy doi:10.1287/mnsc.2014

Reference 18

Resolution: verified exact; doi, observed 2026-07-09T23:56:38.390656Z

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 db4a136c-73c0-4733-86ab-a31bb71e80c6 · outbound

This paper cites Qwen2.5 Technical Report.

Best-Arm Identification with Generative Proxy Qwen2.5 Technical Report

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:56:38.377014Z

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 d9c7a03b-6b29-4493-bbef-7525af8288a7 · outbound

This paper cites doi:10.1287/mksc.2025.0009.

Best-Arm Identification with Generative Proxy doi:10.1287/mksc.2025.0009

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-09T23:56:38.366961Z

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 d4eaa430-88ab-47c4-8807-20ea35ae8d91 · outbound

This paper cites Large Language Model Enhanced Machine Learning Estimators for Classification.

Best-Arm Identification with Generative Proxy Large Language Model Enhanced Machine Learning Estimators for Classification

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:56:38.361934Z

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 6e71adb8-5130-437d-aeaa-3107a3498484 · outbound

This paper cites doi:10.1287/mksc.2024.0990.

Best-Arm Identification with Generative Proxy doi:10.1287/mksc.2024.0990

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-09T23:56:38.398522Z

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 b43b51b1-1ad6-4047-82ec-2e913198f531 · outbound

This paper cites doi:10.2139/ssrn.6078686.

Best-Arm Identification with Generative Proxy doi:10.2139/ssrn.6078686

Reference 23

Resolution: verified exact; doi, observed 2026-07-09T23:56:38.394354Z

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 542389d2-a0c1-4ac7-9800-bba8bd466c9b · inbound

When May a Model Replace the Experiment? Audits, Licenses, and the Price of Trust in Surrogate-Driven Design cites this paper.

When May a Model Replace the Experiment? Audits, Licenses, and the Price of Trust in Surrogate-Driven Design Best-Arm Identification with Generative Proxy

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:19:37.188960Z

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.