Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05015.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:00:23.215760Z
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
10
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 4d9bcbb5-95c2-4896-aaa2-34182293a27e · inbound
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:00:23.215760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3d558a8-f38c-4f05-bcc1-046c400b6132 · inbound
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:28.065705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 782b64d4-4d32-4adf-8a31-30c014b2ccea · inbound
LILO: Bayesian Optimization with Natural Language Feedback cites this paper.
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 2026-08-18T06:34:40.430872+00:00.
Observation 92821801-500b-4515-8122-c0408d27ec6f · inbound
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:45:42.723669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af18998e-922a-4059-bf77-8e181103f470 · inbound
Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space cites this paper.
Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T05:28:59.222579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.