Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.15974.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:54:57.979745Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:43:49.199304Z
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 32530bf1-7769-47d5-b719-39ab0305a06b · inbound
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents cites this paper.
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:54:57.979745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c973f7-8220-4e68-9b66-34b4671385db · inbound
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Reference 210
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:12.831850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6671def7-c83f-4b99-9132-7231c900f2e1 · inbound
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies cites this paper.
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:43:49.202458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.