Paper Citation Record · LEDGER

Are LLMs Ready for Real-World Materials Discovery?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.05200.

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

pith.paper-citation-record.v1
2402.05200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:12:48.634508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:32:45.487303Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4ebd7a8d-b72c-4329-aada-08480ebdeee7 · 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 Are LLMs Ready for Real-World Materials Discovery?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:22.878300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6794a18b-f153-4abf-8af0-1092cd9ed80e · inbound

Foundational Large Language Models for Materials Research cites this paper.

Foundational Large Language Models for Materials Research Are LLMs Ready for Real-World Materials Discovery?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T16:59:32.777257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a261bb43-95c4-4873-b325-dd84a52ca500 · inbound

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges cites this paper.

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges Are LLMs Ready for Real-World Materials Discovery?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:20.117386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c8d57f-0e5a-4c84-9592-cbd2b0c3b89e · inbound

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials cites this paper.

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials Are LLMs Ready for Real-World Materials Discovery?

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T04:14:42.113062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da3416b-7994-48a2-a94b-f21f80bcecaa · inbound

ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers cites this paper.

ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers Are LLMs Ready for Real-World Materials Discovery?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:12:48.634508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8221f3-7215-4776-81ec-e515bcd45d78 · inbound

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning cites this paper.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Are LLMs Ready for Real-World Materials Discovery?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:54.853486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ff9416-8a44-4574-ab97-1ec03207f3a8 · inbound

AlphaEvolve: A coding agent for scientific and algorithmic discovery cites this paper.

AlphaEvolve: A coding agent for scientific and algorithmic discovery Are LLMs Ready for Real-World Materials Discovery?

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:27:24.665358Z

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 c7fef2a2-5f46-4d8e-a52d-dfcb41baba20 · inbound

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools cites this paper.

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools Are LLMs Ready for Real-World Materials Discovery?

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:59.751280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36e6df9-b485-4ddf-bf5b-8c1065e51f02 · inbound

From Data to Theory: Autonomous Large Language Model Agents for Materials Science cites this paper.

From Data to Theory: Autonomous Large Language Model Agents for Materials Science Are LLMs Ready for Real-World Materials Discovery?

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:43:23.362832Z

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 e1a63d8b-7f76-4342-a943-0410f970afcc · inbound

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery cites this paper.

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery Are LLMs Ready for Real-World Materials Discovery?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.488959Z

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.