Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.09115.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.803960Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:16:04.695790Z
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 2f3217dd-187c-45ef-a60f-244cc6f64d7f · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:41.803960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e05deab0-2a5e-431a-aae3-21e33f892b92 · inbound
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering cites this paper.
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:04.699284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.