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Paper Citation Record · LEDGER

Are LLMs Ready for Real-World Materials Discovery?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:54.853486Z

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 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.

source=pdf_text observed=2026-08-07T00:43:54.853486Z digest=sha256:edfa47188c7b0116b63cbadd8281b8beea5c64f18514ea4656f2839594ac7bdb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T21:27:23.987121Z digest=sha256:5f3581f69fe8e059d53d645252e289ab9acc31313f95afeae6f7f491b447a5d9

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.

source=pdf_text observed=2026-08-06T22:45:59.751280Z digest=sha256:824c4285bd35ff0556a41e2a17dd79de3f7c69b106aa03d1ec7f0a3e985d8500

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T22:39:23.431873Z digest=sha256:3fc00428cc857371f51408f791e6e60c55d15b647439763bb27717c31bef0503

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T20:29:27.398862Z digest=sha256:feb5a64a0d4f7d07eaa6295f3a85263decc5073d33521b90e20ce4bef5cdd188