Paper Citation Record · LEDGER

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling

As of 11 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2505.23913.

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

pith.paper-citation-record.v1
2505.23913 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:54.117306Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:43:17.665357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:45:55.367372Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy39
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ada694e8-9cdb-45f9-a555-41b3a04ac5a5 · outbound

This paper cites Unexpected improvements to expected improvement for Bayesian optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unexpected improvements to expected improvement for Bayesian optimization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:00.130448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c4e6c2e-0764-4a64-9e54-99ca70d03d44 · outbound

This paper cites Using confidence bounds for exploitation-exploration trade-offs.JMLR, 3(null), 2003.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Using confidence bounds for exploitation-exploration trade-offs.JMLR, 3(null), 2003

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.690031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d61ea6ee-205b-4e10-ad49-e285299b6d31 · outbound

This paper cites Botorch: A framework for efficient monte-carlo bayesian optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Botorch: A framework for efficient monte-carlo bayesian optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.521260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5936666e-875a-417e-b2d3-c182cb2f2cc7 · outbound

This paper cites Language models are few-shot learners.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Language models are few-shot learners

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.360653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5dd6a2ef-e93f-4fdb-a765-f83d3b2b027e · outbound

This paper cites Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.291889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75c31aad-2ee5-407c-83ae-2a692ca1f851 · outbound

This paper cites Learning phrase representations using RNN encoder–decoder for statistical machine translation.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Learning phrase representations using RNN encoder–decoder for statistical machine translation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.236606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40c2b21e-5616-4b9a-8682-e18362a7b736 · outbound

This paper cites Neural spline flows.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Neural spline flows

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:49.871133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0c43c91-be75-418c-91c4-7a66b20fd71d · outbound

This paper cites Auto-sklearn 2.0: Hands-free automl via meta-learning.JMLR, 23(261), 2022.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Auto-sklearn 2.0: Hands-free automl via meta-learning.JMLR, 23(261), 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:59.166077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41b46792-a263-44e9-a3b7-75d9fdd03727 · outbound

This paper cites an unresolved cited work.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:43:59.094435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc78cd73-99bd-41af-9e63-1035f03bec27 · outbound

This paper cites Cambridge University Press, 2023.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Cambridge University Press, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:50.174808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d708791c-e788-457b-97cb-f9cdd6aea17d · outbound

This paper cites Springer, 2010.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Springer, 2010

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.992867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d5e9b62-ccc5-42f9-a0d7-c3ceaf4b73eb · outbound

This paper cites Text-guided molecule generation with diffusion language model.Proceedings of the AAAI Conference on Artificial Intelligence, 38(1), 2024.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Text-guided molecule generation with diffusion language model.Proceedings of the AAAI Conference on Artificial Intelligence, 38(1), 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.913221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec949d66-28ab-4613-aedf-4558838407d5 · outbound

This paper cites From alchemist to ai chemist.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling From alchemist to ai chemist

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.839089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77b920e4-0a23-437b-a2e3-e8f53f60692f · outbound

This paper cites Constrained Bayesian optimization for automatic chemical design using variational autoencoders.Chem.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Constrained Bayesian optimization for automatic chemical design using variational autoencoders.Chem

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.775191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b657fd4-f8d8-422e-b242-288292309cd7 · outbound

This paper cites Hickman, Loïc M.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Hickman, Loïc M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.629429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38797a90-2163-4916-8da9-6ab604ef6c39 · outbound

This paper cites Hoffman, and Zoubin Ghahramani.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Hoffman, and Zoubin Ghahramani

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.487646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90f84a71-2359-4b63-a852-7baa0531df2e · outbound

This paper cites Pyzer-Knapp, and Alán Aspuru-Guzik.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Pyzer-Knapp, and Alán Aspuru-Guzik

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.408248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63c24826-072f-43d6-b146-9caff2263d68 · outbound

This paper cites BINOCULARS for efficient, nonmyopic sequential experimental design.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling BINOCULARS for efficient, nonmyopic sequential experimental design

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.321655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d4491e7-3039-4907-891e-64335904d60d · outbound

This paper cites Jones, Matthias Schonlau, and William J.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Jones, Matthias Schonlau, and William J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:58.154883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ea17d1f-ce6a-4287-8bf1-62ad0c1244a5 · outbound

This paper cites Diffusion models for black-box optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Diffusion models for black-box optimization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.999353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f573b281-52b4-493e-afe9-acaa338d57e7 · outbound

This paper cites Promises and pitfalls of the linearized Laplace in Bayesian optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Promises and pitfalls of the linearized Laplace in Bayesian optimization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.830203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d287dab-a3f8-4c66-9cae-d5ca8cd6a2f0 · outbound

This paper cites A sober look at LLMs for material discovery: Are they actually good for Bayesian optimization over molecules? InICML, 2024.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling A sober look at LLMs for material discovery: Are they actually good for Bayesian optimization over molecules? InICML, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.663579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d043cc32-fb98-4427-8ae2-2a2d40eed24b · outbound

This paper cites How useful is intermittent, asynchronous expert feedback for Bayesian optimization? InSixth Symposium on Advances in Approximate Bayesian Inference-Non Archival Track, 2024.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling How useful is intermittent, asynchronous expert feedback for Bayesian optimization? InSixth Symposium on Advances in Approximate Bayesian Inference-Non Archival Track, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.557641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6cc1169c-4f1c-4ab4-a40a-4474b44a29d1 · outbound

This paper cites Model inversion networks for model-based optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Model inversion networks for model-based optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.482607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eaa111eb-1c05-4f47-8762-63d541253100 · outbound

This paper cites an unresolved cited work.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:43:57.395724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79fcc852-5950-4c7b-9422-ec1980658679 · outbound

This paper cites Amortized in-context Bayesian posterior estimation, 2025.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Amortized in-context Bayesian posterior estimation, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:57.223357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e382aae-a6c8-49fb-a101-1244de770a9c · outbound

This paper cites an unresolved cited work.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:43:57.079663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f406b6c-0cd1-413a-90b4-54c3e621fd1c · outbound

This paper cites Transformers can do Bayesian inference.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Transformers can do Bayesian inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.941971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e275b1d-f82c-4ffc-9078-2d3c882d753b · outbound

This paper cites PFNs4BO: In-context learning for Bayesian optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling PFNs4BO: In-context learning for Bayesian optimization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.860832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f286c8d7-725d-4435-b1b2-e842087a7e68 · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57), 2021.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57), 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.786912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2d7330e-6fe5-4d1e-947e-0d1a2e6aec60 · outbound

This paper cites Radev, Ulf K.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Radev, Ulf K

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.718339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fb26c9c5-3b59-43e9-93ac-fd507f241d63 · outbound

This paper cites Random features for large-scale kernel machines.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Random features for large-scale kernel machines

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.623938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a15b807d-1fd8-44f6-870e-4667f0e54463 · outbound

This paper cites Zero-shot text-to-image generation.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Zero-shot text-to-image generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:53.030155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58edba69-8de3-43dd-b350-7aad39c635ac · outbound

This paper cites an unresolved cited work.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:53.118430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4455915-f2fe-4cae-abfc-0c358134cb56 · outbound

This paper cites an unresolved cited work.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:43:56.515230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 910c094b-1334-4d1f-b489-d434bb2e0450 · outbound

This paper cites Navigating the protein fitness landscape with Gaussian processes.Proceedings of the National Academy of Sciences, 110(3), 2013.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Navigating the protein fitness landscape with Gaussian processes.Proceedings of the National Academy of Sciences, 110(3), 2013

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.445527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 168d8fb5-bfb5-48cb-b03e-a0f1c134a631 · outbound

This paper cites Application of Bayesian approaches in drug development: starting a virtuous cycle.Nature Reviews Drug Discovery, 22(3), 2023.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Application of Bayesian approaches in drug development: starting a virtuous cycle.Nature Reviews Drug Discovery, 22(3), 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.372016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29da98de-cef0-4417-b3f8-980d6ca6ad49 · outbound

This paper cites Adams, and Nando de Freitas.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Adams, and Nando de Freitas

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.305074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4032a8b4-07aa-434b-9f1a-c5d92f36055c · outbound

This paper cites Practical Bayesian optimization of machine learning algorithms.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Practical Bayesian optimization of machine learning algorithms

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:56.159491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46821008-d8e7-4e9f-b0cc-c09f72cf43fa · outbound

This paper cites normflows: A Pytorch package for normalizing flows.Journal of Open Source Software, 8(86), 2023.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling normflows: A Pytorch package for normalizing flows.Journal of Open Source Software, 8(86), 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.983091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8cea4063-d54b-4966-acfb-a98fa50b1a3a · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.Biometrika, 25(3-4), 1933.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.Biometrika, 25(3-4), 1933

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.723272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a974a98e-1b6f-4c3a-9a38-141fc802a067 · outbound

This paper cites Schmid, Sterling G.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Schmid, Sterling G

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.458353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1634db55-a2dc-4d52-883c-ac3c33fa9e79 · outbound

This paper cites Attention is all you need.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Attention is all you need

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:53.719477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76d84fc-15da-4618-9276-b2cada4fcce2 · outbound

This paper cites Maximizing acquisition functions for Bayesian optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Maximizing acquisition functions for Bayesian optimization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.264777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1dfd820-8f0a-428e-b9d5-df6b0dcd9fcb · outbound

This paper cites Diff-BBO: Diffusion-based inverse modeling for black-box Optimization.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Diff-BBO: Diffusion-based inverse modeling for black-box Optimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.196465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a02e625-3863-4b23-8586-38e99def730c · outbound

This paper cites OmniGen: Unified Image Generation.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling OmniGen: Unified Image Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:53.854399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3c73b2-4496-4c61-b4b7-51f8b84d4650 · outbound

This paper cites An explanation of in-context learning as implicit Bayesian inference.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling An explanation of in-context learning as implicit Bayesian inference

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:55.096236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d2b8c3d-9fb6-40f0-aea8-696f099b1873 · outbound

This paper cites Posterior inference with diffusion models for high-dimensional black-box optimization, 2025.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Posterior inference with diffusion models for high-dimensional black-box optimization, 2025

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:54.840539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e9c6a9a-fdf2-467d-a35e-6df510c009e7 · outbound

This paper cites Deep sets.

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Deep sets

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:43:54.464797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 5d67bb28-5364-4282-899f-45896db31586 · inbound

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles cites this paper.

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:55.373691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da4601c1-ed2f-4a9c-813a-91b3dee35f07 · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling

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