Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.04078.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:20:48.480511Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:06:37.932776Z
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 131f98ee-ef7b-4f3b-8825-b0f763118434 · inbound
Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants cites this paper.
Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:20:48.480511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f2731e-5142-4838-bdd8-4cc3a71f9e8d · inbound
LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.
LLM-Powered AI Agent Systems and Their Applications in Industry TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:06:37.936123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ac0a895-8368-43a5-ac82-b4a27e9c552b · inbound
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
Reference 224
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:15.183295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.