Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.09126.
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 2026-08-07T04:51:55.064878Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T04:07:02.005573Z
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 4a7f3b28-2a3d-45eb-80b7-95df749c1fdb · inbound
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy cites this paper.
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:51:55.064878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16de8eb9-f503-422c-be35-a7f1a9009225 · inbound
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding cites this paper.
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:07:02.007615Z
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.