Paper Citation Record · LEDGER

LILO: Bayesian Optimization with Natural Language Feedback

As of 4 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2510.17671.

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

pith.paper-citation-record.v1
2510.17671 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:40:59.181617Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:51:33.099377Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact14
verified fuzzy5
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c981ad70-80f4-42b2-915b-f9a1e8ca01dc · outbound

This paper cites Jump Starting Bandits with LLM-Generated Prior Knowledge.

LILO: Bayesian Optimization with Natural Language Feedback Jump Starting Bandits with LLM-Generated Prior Knowledge

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.494220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b07e77ed-0542-4ceb-95b2-c3ea06d182fa · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

LILO: Bayesian Optimization with Natural Language Feedback BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.517581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f793fdb4-2a99-4f55-a638-11a97cde2179 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

LILO: Bayesian Optimization with Natural Language Feedback Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:24.603738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0e77b23-f469-4873-96b9-7ff8206a735e · outbound

This paper cites Bayesian Optimization for Controlled Image Editing via LLMs.

LILO: Bayesian Optimization with Natural Language Feedback Bayesian Optimization for Controlled Image Editing via LLMs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.500726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 198ff27b-2243-478c-8397-b1531b7c48df · outbound

This paper cites Preference learning with gaussian processes.

LILO: Bayesian Optimization with Natural Language Feedback Preference learning with gaussian processes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:24.601376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef7faeca-7300-40f9-abf6-3a61de2a2122 · outbound

This paper cites Preference Learning with Gaussian Processes.

LILO: Bayesian Optimization with Natural Language Feedback Preference Learning with Gaussian Processes

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:42:24.291492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b59eca7-153a-43aa-a954-0df1df08cee6 · outbound

This paper cites Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective.

LILO: Bayesian Optimization with Natural Language Feedback Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.478726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3f746849-018f-433d-abe6-2f00259ae65c · outbound

This paper cites Bayesian optimization of high-dimensional outputs with human feedback.

LILO: Bayesian Optimization with Natural Language Feedback Bayesian optimization of high-dimensional outputs with human feedback

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:24.597031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 95fb1e1b-97c9-40cc-bc0f-d83d4bee77fd · outbound

This paper cites A Tutorial on Bayesian Optimization.

LILO: Bayesian Optimization with Natural Language Feedback A Tutorial on Bayesian Optimization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-18T05:42:24.510717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6fcbb0e6-769f-4b69-a2f7-93d7646db982 · outbound

This paper cites Active Task Disambiguation with LLMs.

LILO: Bayesian Optimization with Natural Language Feedback Active Task Disambiguation with LLMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.490563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 782b64d4-4d32-4adf-8a31-30c014b2ccea · outbound

This paper cites A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?.

LILO: Bayesian Optimization with Natural Language Feedback A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.507966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ba00786-a9a4-436c-8831-0cfa0463b8bc · outbound

This paper cites doi: 10.1007/s00158-007-0163-x.

LILO: Bayesian Optimization with Natural Language Feedback doi: 10.1007/s00158-007-0163-x

Reference 12

Resolution: verified exact; doi, observed 2026-05-18T05:42:24.285839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bfcbbc4-23d9-454e-b8b6-f2ca61b1abe7 · outbound

This paper cites Large Language Models to Enhance Bayesian Optimization.

LILO: Bayesian Optimization with Natural Language Feedback Large Language Models to Enhance Bayesian Optimization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.513973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 39cb6617-e1f2-439b-961f-006ffce630f5 · outbound

This paper cites In-Context Learning through the Bayesian Prism.

LILO: Bayesian Optimization with Natural Language Feedback In-Context Learning through the Bayesian Prism

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.495117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 746dff47-d5f2-4476-ba26-0211a0252cb9 · outbound

This paper cites Bayesian Optimization of Catalysis With In-Context Learning.

LILO: Bayesian Optimization with Natural Language Feedback Bayesian Optimization of Catalysis With In-Context Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.504008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 963896dd-d2df-483b-b150-b37f5986b313 · outbound

This paper cites Multi-dueling Bandits with Dependent Arms.

LILO: Bayesian Optimization with Natural Language Feedback Multi-dueling Bandits with Dependent Arms

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-18T05:42:24.482077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d2f4e927-c642-4a60-bef2-5dd9db6ce1eb · outbound

This paper cites Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning.

LILO: Bayesian Optimization with Natural Language Feedback Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.490367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42fc6a86-24c7-48b8-9a44-0b2ab17bad80 · outbound

This paper cites Eliciting the Priors of Large Language Models using Iterated In-Context Learning.

LILO: Bayesian Optimization with Natural Language Feedback Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.497441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c752ff0-8e7e-43f8-baf3-1f8012037813 · outbound

This paper cites q1" : <question1>.

LILO: Bayesian Optimization with Natural Language Feedback q1" : <question1>

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:24.606051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 520435fd-53d1-494f-ba77-e2373bfaf7b9 · outbound

This paper cites within range.

LILO: Bayesian Optimization with Natural Language Feedback within range

Reference 20

Resolution: malformed identifier; raw_fallback, observed 2026-05-18T05:42:24.599190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e774f0b-6598-41a4-beb5-144c0503784a · outbound

This paper cites We observe thatLILOperforms similarly across all three LLMs, demonstrating that the success of our method is agnostic to the choice of a specific language model.

LILO: Bayesian Optimization with Natural Language Feedback We observe thatLILOperforms similarly across all three LLMs, demonstrating that the success of our method is agnostic to the choice of a specific language model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:24.608472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 3ec1f3e6-0dfe-4296-aab6-dfdb364d9d3f · inbound

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch cites this paper.

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch LILO: Bayesian Optimization with Natural Language Feedback

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T00:51:33.099377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.