Paper Citation Record · LEDGER

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2405.14657.

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

pith.paper-citation-record.v1
2405.14657 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T01:09:27.670781Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T03:26:14.370450Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T03:28:50.261307Z

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy34
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 402b47f0-71d8-41e5-893b-6b608dc1777a · outbound

This paper cites Howey, Krikamol Muandet, Michael A.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Howey, Krikamol Muandet, Michael A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.049632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 778a9611-b1a0-4fb2-884a-082286ee94ab · outbound

This paper cites qeubo: A decision-theoretic acquisition function for preferential bayesian optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization qeubo: A decision-theoretic acquisition function for preferential bayesian optimization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.062182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 225d1e30-8181-4441-a047-b5a10ad56f34 · outbound

This paper cites The skew-normal and related families, volume 3.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization The skew-normal and related families, volume 3

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.073761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 469e1fa0-8b50-42e7-b619-31b6bc43a9b4 · outbound

This paper cites Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.018742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 085fcff9-535b-46d3-b43c-beba88ff5d56 · outbound

This paper cites Preferential bayesian optimisation with skew gaussian processes.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Preferential bayesian optimisation with skew gaussian processes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.444164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99ccbe95-0d53-40ce-8c12-42f32f743b91 · outbound

This paper cites On a modification of chebyshev’s inequality and of the error formula of laplace.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization On a modification of chebyshev’s inequality and of the error formula of laplace

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.976242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09132e5d-e3c5-4233-a9c7-5cf8fa953163 · outbound

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:13:42.933368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8dc9ade2-d589-449a-ac5c-de9025410485 · outbound

This paper cites The Adaptive Web - Methods and Strategies of Web Personalization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization The Adaptive Web - Methods and Strategies of Web Personalization

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90a5cb93-4290-4c56-adad-d3fdc7c36c82 · outbound

This paper cites Preference learning with gaussian processes.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Preference learning with gaussian processes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.007440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71ab4e2c-b69c-4a61-a7e9-642e1da019a8 · outbound

This paper cites Hebo: Pushing the limits of sample-efficient hyperparameter optimisation.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Hebo: Pushing the limits of sample-efficient hyperparameter optimisation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.041650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55b2cfd5-f549-4fdb-afb7-9e10d4e6b62c · outbound

This paper cites an unresolved cited work.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:48:43.962245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b162a6c9-053f-4478-add3-06833adafdd0 · outbound

This paper cites Expertise in context: Human and machine.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Expertise in context: Human and machine

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.965939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7873591a-c8d8-4e12-b088-380f01e7ca13 · outbound

This paper cites Rates of strong uniform consistency for multivariate kernel density estimators.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Rates of strong uniform consistency for multivariate kernel density estimators

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.958655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a063948a-84fa-43cc-9576-7dc533610363 · outbound

This paper cites Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality

Reference 14

Resolution: verified exact; doi, observed 2026-05-24T01:13:42.439869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f40bf26-9af5-4260-be41-4ea5b1807d5c · outbound

This paper cites Risk management: approaches for fixed income markets, volume 73.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Risk management: approaches for fixed income markets, volume 73

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.053838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17719a3b-b81d-4ef6-98aa-dc8eefabef4e · outbound

This paper cites Preferential bayesian optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Preferential bayesian optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.086240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96273245-a938-47b2-af08-a22a4a4f98e6 · outbound

This paper cites Achieving robustness to aleatoric uncertainty with heteroscedastic bayesian optimisation.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Achieving robustness to aleatoric uncertainty with heteroscedastic bayesian optimisation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.089982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0af21191-d7c7-47be-93d8-6cfbe9f8df22 · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, volume 2.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization The elements of statistical learning: data mining, inference, and prediction, volume 2

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.081929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3346edb-e284-4938-aa5d-f13df0926692 · outbound

This paper cites The psychology of expertise: Cognitive research and empirical AI.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization The psychology of expertise: Cognitive research and empirical AI

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.069735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec32e4ed-5226-4ef7-b43a-e7698931ace1 · outbound

This paper cites Augmenting bayesian optimization with preference-based expert feedback.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Augmenting bayesian optimization with preference-based expert feedback

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.057917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9bddc56f-6198-43ba-82f5-3b55432e700a · outbound

This paper cites Stochastic bayesian optimization with unknown continuous context distribution via kernel density estimation.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Stochastic bayesian optimization with unknown continuous context distribution via kernel density estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.066097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 788d103c-ecda-4aa7-b163-bfa7a19586f2 · outbound

This paper cites Risk management and financial institutions,+ Web Site, volume 733.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Risk management and financial institutions,+ Web Site, volume 733

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.077618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 862c1711-e7a2-4426-ace2-55d71c570c0b · outbound

This paper cites A general framework for user-guided bayesian optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization A general framework for user-guided bayesian optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.034078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0971da4-f1a2-4878-ab46-cb23768d047e · outbound

This paper cites Prospect theory: An analysis of decision under risk.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Prospect theory: An analysis of decision under risk

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.037628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37d7ae79-58d5-45d6-8cca-1cc58a9b034c · outbound

This paper cites Sequential gallery for interactive visual design optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Sequential gallery for interactive visual design optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.030442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82301cbc-5cdc-4da3-befa-2ccb0c83f251 · outbound

This paper cites Adaptivity to local smoothness and dimension in kernel regression.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Adaptivity to local smoothness and dimension in kernel regression

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.951116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93653966-4cd4-4b27-9344-8c10f9805935 · outbound

This paper cites A tutorial on energy- based learning.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization A tutorial on energy- based learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.022697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f601711-ecb2-4585-82b0-ff1d633a891e · outbound

This paper cites Risk-averse heteroscedastic bayesian optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Risk-averse heteroscedastic bayesian optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.026741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54fbb277-4696-409a-8746-46cf0c1b4a14 · outbound

This paper cites Psychological essentialism.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Psychological essentialism

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.946891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c9effd5-b514-4a17-8c63-6bd46a9dfb46 · outbound

This paper cites Updating quasi-newton matrices with limited storage.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Updating quasi-newton matrices with limited storage

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.045588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67e97e16-bc27-4907-8a90-55c617f05770 · outbound

This paper cites Financial econometrics: from basics to advanced modeling techniques.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Financial econometrics: from basics to advanced modeling techniques

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.011483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b2d625fa-dddb-42c8-b075-2dec17d8d7c1 · outbound

This paper cites an unresolved cited work.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:48:44.015023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a325e3bf-e24c-409a-ad77-67b1b614d838 · outbound

This paper cites Fast computation of kernel estimators.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Fast computation of kernel estimators

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.002815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5680e95c-406c-4eea-aae7-68a70eb7ffa2 · outbound

This paper cites Distinguishing types of superficial similarities: Different effects on the access and use of earlier problems.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Distinguishing types of superficial similarities: Different effects on the access and use of earlier problems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.995790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1997dbc-8736-4a01-ab9b-ca2bd290face · outbound

This paper cites Introduction to Nonparametric Statistics.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Introduction to Nonparametric Statistics

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.999257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29a37c03-f278-4f84-bc1a-b70ba7974c9d · outbound

This paper cites Preferential batch bayesian optimization.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Preferential batch bayesian optimization

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.448594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97ce57cb-84f2-4f4d-bfd7-70e0160aec11 · outbound

This paper cites Judgment under uncertainty: Heuristics and biases.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Judgment under uncertainty: Heuristics and biases

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.954835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c63a82c2-fdd1-4c34-93c9-d0566eabed68 · outbound

This paper cites Bayesian optimization with conformal prediction sets.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Bayesian optimization with conformal prediction sets

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.983373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ba1665e-37ff-4ae8-a5f9-2f879d6cc890 · outbound

This paper cites an unresolved cited work.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-24T01:48:43.986719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0a3ca21-6b83-4636-aed3-1e390a6c08d8 · outbound

This paper cites Cross-validatory choice and assessment of statistical predictions.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Cross-validatory choice and assessment of statistical predictions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.979844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a7bbc6e-96d8-4f6a-8cb4-a03f9792b2de · outbound

This paper cites Human-in-the-loop assisted de novo molecular design.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Human-in-the-loop assisted de novo molecular design

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:44.093592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 750e4173-1072-429e-a9f1-7ae7a0b2a6fc · outbound

This paper cites Towards practical preferential bayesian optimization with skew gaussian processes.

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization Towards practical preferential bayesian optimization with skew gaussian processes

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:48:43.970610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 0977f4ee-83de-4146-b171-41013cb1a093 · inbound

A tutorial on learning from preferences and choices with Gaussian Processes cites this paper.

A tutorial on learning from preferences and choices with Gaussian Processes Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization

Reference 117

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:28:50.264520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.