Paper Citation Record · LEDGER

Active Query Synthesis for Preference Learning

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.26072.

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

pith.paper-citation-record.v1
2605.26072 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:22:57.678463Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d50cab70-9d33-4c6c-a80b-d651288ff78f · outbound

This paper cites Guest editorial annotation-efficient deep learning: the holy grail of medical imaging.IEEE transactions on medical imaging, 40(10):2526–2533, 2021.

Active Query Synthesis for Preference Learning Guest editorial annotation-efficient deep learning: the holy grail of medical imaging.IEEE transactions on medical imaging, 40(10):2526–2533, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2000e6-ece7-400e-aa22-a5c7c87db3cd · outbound

This paper cites N segment: Label-specific deformations for remote sensing image segmentation.IEEE Geoscience and Remote Sensing Letters, 2025.

Active Query Synthesis for Preference Learning N segment: Label-specific deformations for remote sensing image segmentation.IEEE Geoscience and Remote Sensing Letters, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation ee4ebc87-0255-4393-8143-8863439b02a7 · outbound

This paper cites Batched bayesian optimization for drug design in noisy environments.Journal of Chemical Information and Modeling, 62(17):3970–3981, 2022.

Active Query Synthesis for Preference Learning Batched bayesian optimization for drug design in noisy environments.Journal of Chemical Information and Modeling, 62(17):3970–3981, 2022

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Unavailable: canonical work link unavailable.

Observation 2435655f-a25d-4890-964a-b28c73b2c522 · outbound

This paper cites A comprehensive benchmark of active learning strategies with automl for small-sample regression in materials science.Scientific Reports, 15(1):37167, 2025.

Active Query Synthesis for Preference Learning A comprehensive benchmark of active learning strategies with automl for small-sample regression in materials science.Scientific Reports, 15(1):37167, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ab0de7-0a95-48d6-98db-4a6f9d9cbdad · outbound

This paper cites Active learning literature survey.

Active Query Synthesis for Preference Learning Active learning literature survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91513be5-9fb5-4d95-a7e2-c19206cf65d2 · outbound

This paper cites Active learning on medical image.

Active Query Synthesis for Preference Learning Active learning on medical image

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ac9f4b-fa47-4693-bdb8-c108fb8e885d · outbound

This paper cites Active learning in the drug discovery process.Advances in Neural information processing systems, 14, 2001.

Active Query Synthesis for Preference Learning Active learning in the drug discovery process.Advances in Neural information processing systems, 14, 2001

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec24375-ffd0-492f-ada6-263bc42d93d2 · outbound

This paper cites Active learning via query synthesis and nearest neighbour search.Neurocomputing, 147:426–434, 2015.

Active Query Synthesis for Preference Learning Active learning via query synthesis and nearest neighbour search.Neurocomputing, 147:426–434, 2015

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72b0df1-0774-4943-ac09-398263029195 · outbound

This paper cites Active preference-based learning of reward functions.

Active Query Synthesis for Preference Learning Active preference-based learning of reward functions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585750b5-319d-4200-9b56-89c4967fd404 · outbound

This paper cites Preference learning with gaussian processes.

Active Query Synthesis for Preference Learning Preference learning with gaussian processes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b2199c-628d-43e1-83fc-60c2112d0721 · outbound

This paper cites London, 1963.

Active Query Synthesis for Preference Learning London, 1963

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 2cccb195-9953-4d62-b942-40907d6b90e6 · outbound

This paper cites Random search for hyper-parameter optimization.Journal of machine learning research, 13(2), 2012.

Active Query Synthesis for Preference Learning Random search for hyper-parameter optimization.Journal of machine learning research, 13(2), 2012

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72895d34-54de-47a6-8a35-e945bbcb3003 · outbound

This paper cites Learn- ing controller gains on bipedal walking robots via user preferences.

Active Query Synthesis for Preference Learning Learn- ing controller gains on bipedal walking robots via user preferences

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 69eca457-fa48-437d-bcf5-a6ee1c5c4ce2 · outbound

This paper cites Psychological scaling without a unit of measurement.Psychological review, 57(3):145, 1950.

Active Query Synthesis for Preference Learning Psychological scaling without a unit of measurement.Psychological review, 57(3):145, 1950

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation f9e9a002-6cfb-4b79-9f4e-b45d1d082184 · outbound

This paper cites Rank analysis of incomplete block designs: I.

Active Query Synthesis for Preference Learning Rank analysis of incomplete block designs: I

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

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Observation fcdbec2f-1c84-4d5e-ad84-e21a15c9e289 · outbound

This paper cites Active embedding search via noisy paired comparisons.

Active Query Synthesis for Preference Learning Active embedding search via noisy paired comparisons

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00348327-b862-45ca-916d-8978e6cafd55 · outbound

This paper cites Scalable and efficient comparison-based search without features.

Active Query Synthesis for Preference Learning Scalable and efficient comparison-based search without features

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd6720c-1a7b-454c-a9f5-d2cd3f6b59b4 · outbound

This paper cites Preference-based learning for exoskeleton gait optimization.

Active Query Synthesis for Preference Learning Preference-based learning for exoskeleton gait optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Unavailable: canonical work link unavailable.

Observation 97fd49aa-033b-4782-a037-b61983c3ae85 · outbound

This paper cites Roial: Region of interest active learning for char- acterizing exoskeleton gait preference landscapes.

Active Query Synthesis for Preference Learning Roial: Region of interest active learning for char- acterizing exoskeleton gait preference landscapes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ad3bf9-15d1-4186-9e3b-a2a92d82de0a · outbound

This paper cites Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.

Active Query Synthesis for Preference Learning Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.910295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9be3ff1e-a4e7-4a55-8ac9-be686bbe2ef2 · outbound

This paper cites A bayesian interactive optimiza- tion approach to procedural animation design.

Active Query Synthesis for Preference Learning A bayesian interactive optimiza- tion approach to procedural animation design

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 165ee363-e33d-4a5d-9df5-4cec122c4b81 · outbound

This paper cites Preferential bayesian optimization.

Active Query Synthesis for Preference Learning Preferential bayesian optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53412140-e86a-4a85-a1af-b8ff8d84577e · outbound

This paper cites Batch active preference-based learning of reward functions.

Active Query Synthesis for Preference Learning Batch active preference-based learning of reward functions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation cd5337cc-7fcb-4314-b694-f996ee23c3f4 · outbound

This paper cites Human-in-the-loop controller tuning using preferential bayesian optimization.IFAC-PapersOnLine, 58(14):13–18, 2024.

Active Query Synthesis for Preference Learning Human-in-the-loop controller tuning using preferential bayesian optimization.IFAC-PapersOnLine, 58(14):13–18, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

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Observation 284f8fc2-675d-4ba5-aaaa-40e90fe63df4 · outbound

This paper cites Safe controller optimization for quadrotors with gaussian processes.

Active Query Synthesis for Preference Learning Safe controller optimization for quadrotors with gaussian processes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 14040520-afb9-4519-9249-7b1df38e2ac3 · outbound

This paper cites Virtual vs.

Active Query Synthesis for Preference Learning Virtual vs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 12ccbd64-3674-490a-9595-b0a13a2b377a · outbound

This paper cites Active heteroscedastic regres- sion.

Active Query Synthesis for Preference Learning Active heteroscedastic regres- sion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 5d5fa7b6-a836-4ce4-964a-3c53756f2123 · outbound

This paper cites Near optimal het- eroscedastic regression with symbiotic learning.

Active Query Synthesis for Preference Learning Near optimal het- eroscedastic regression with symbiotic learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation e7d637a2-441f-4d12-aa93-281c2cbf8b58 · outbound

This paper cites Learning to summarize with human feedback.

Active Query Synthesis for Preference Learning Learning to summarize with human feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

Source-reported events for the cited work

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Observation 8e00764b-a21e-4ace-9ef5-7a0157ab1f57 · outbound

This paper cites Personalized Language Modeling from Personalized Human Feedback.

Active Query Synthesis for Preference Learning Personalized Language Modeling from Personalized Human Feedback

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.906280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 158651c8-5718-4b83-8317-86e703fe2b60 · outbound

This paper cites Pal: Sample- efficient personalized reward modeling for pluralistic alignment.

Active Query Synthesis for Preference Learning Pal: Sample- efficient personalized reward modeling for pluralistic alignment

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation afe5303e-bcd9-4815-87d9-25b06e769aac · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Active Query Synthesis for Preference Learning OPT: Open Pre-trained Transformer Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:23:59.903947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59949d59-dc91-46b3-b28a-a0f7f9eb8eb4 · outbound

This paper cites A stable track- ing control method for an autonomous mobile robot.

Active Query Synthesis for Preference Learning A stable track- ing control method for an autonomous mobile robot

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 5e0e2764-49fd-49a4-9ee1-356ca835a9ac · outbound

This paper cites The bernstein polynomial basis: A centennial retrospective.Computer Aided Geometric Design, 29(6):379–419, 2012.

Active Query Synthesis for Preference Learning The bernstein polynomial basis: A centennial retrospective.Computer Aided Geometric Design, 29(6):379–419, 2012

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 8767f07c-aff2-4ff1-a21f-b16209315981 · outbound

This paper cites Stan: A probabilistic programming language.Journal of statistical software, 76:1–32, 2017.

Active Query Synthesis for Preference Learning Stan: A probabilistic programming language.Journal of statistical software, 76:1–32, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Observation 6c723ec6-43ee-4594-84bf-0f959b676e0d · outbound

This paper cites A is better than B.

Active Query Synthesis for Preference Learning A is better than B

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:57.678463Z

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Pith citing papers

No inbound Pith citation observations are available.