Paper Citation Record · LEDGER

Are LLMs Ready for Real-World Materials Discovery?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:14:42.113062Z

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 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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.