Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:54.853486Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T20:32:45.487303Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation dd8221f3-7215-4776-81ec-e515bcd45d78 · inbound
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning Are LLMs Ready for Real-World Materials Discovery?
Reference 36
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 Are LLMs Ready for Real-World Materials Discovery?
Reference 72
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.
Observation c7fef2a2-5f46-4d8e-a52d-dfcb41baba20 · inbound
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools Are LLMs Ready for Real-World Materials Discovery?
Reference 128
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 Are LLMs Ready for Real-World Materials Discovery?
Reference 32
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.
Observation e1a63d8b-7f76-4342-a943-0410f970afcc · inbound
ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery Are LLMs Ready for Real-World Materials Discovery?
Reference 17
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.