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Paper Citation Record · LEDGER

Bayesian Optimization of Catalysis With In-Context Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.05341.

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

pith.paper-citation-record.v1
2304.05341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:25.598557Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 42c5b29d-2cee-4acb-a792-0593267c2f4d · inbound

ChemCrow: Augmenting large-language models with chemistry tools cites this paper.

ChemCrow: Augmenting large-language models with chemistry tools Bayesian Optimization of Catalysis With In-Context Learning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:05:23.111082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T19:05:22.921088Z digest=sha256:d4a693415d690575c3aa23424cc95c2cff509298715bb321667a3b61d138b066

Observation 1ea10f60-9c81-4759-b87c-2e6af3f14746 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research Bayesian Optimization of Catalysis With In-Context Learning

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:25.598557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:25.598557Z digest=sha256:1398ff89571bac89af6127d7d3c0aad1763323e60f98998e5f10dbf3759ee74c

Observation e57fd045-4e24-4c6c-93e7-cc904551df50 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Bayesian Optimization of Catalysis With In-Context Learning

Reference 145

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T05:17:06.349732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:067cdd8e21adfa7567a3d3bdc1a443915fc0a90ed2362a5a8edf3e763c232181

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

LILO: Bayesian Optimization with Natural Language Feedback cites this paper.

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:40:59.181617Z digest=sha256:3c8c92e6446faa0e75b1681d4da634c9ae42c6060358a4988c0c11f94fab41a8

Observation 12415adc-82d2-4f57-9aae-e083d8f33ab5 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search Bayesian Optimization of Catalysis With In-Context Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T09:45:43.919718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:43.919718Z digest=sha256:a64223d9ee11033385a6562d0a8c17b6b26002125920076edfd2d837e32a2543

Observation 6c8f3a76-9543-40e9-a8a7-ab0a4c9aae92 · inbound

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization of Catalysis With In-Context Learning

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T22:08:20.191361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T22:06:48.152555Z digest=sha256:b3993a053f4ca332239911aa81eaf754bd911c787dc3d0cd47539e5658dc05f2

Observation eda8f31a-fc50-42a9-8e38-bfcaaaa2ba5c · inbound

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery cites this paper.

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery Bayesian Optimization of Catalysis With In-Context Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:03:25.436843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T09:58:41.620396Z digest=sha256:64c0a70929442f7424b3ae92a195151412089dfadad7f4dd134614d0adf86e66

Observation afab9b9a-2860-4b34-a60e-94294efd4482 · inbound

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs cites this paper.

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs Bayesian Optimization of Catalysis With In-Context Learning

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:45.027168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T09:05:56.687400Z digest=sha256:f95f48c663c921b3d4e12321df8483a9b6dce9a74bce600adc40eb22608dfed0