Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.16931.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:36.711046Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:44:55.174716Z
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 40fb17d5-6d99-4e0a-a7b6-be5627efcdf3 · inbound
Evaluating and Mitigating Bias in AI-Based Medical Text Generation cites this paper.
Evaluating and Mitigating Bias in AI-Based Medical Text Generation ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:47:36.711046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf088375-e990-41ef-bbda-5839213ea219 · inbound
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:44:55.177044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 61a0e50e-d127-4dbc-a9c0-f67d3da99b13 · inbound
AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.
AI4Research: A Survey of Artificial Intelligence for Scientific Research ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Reference 120
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:45:12.291857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.