Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T09:30:55.410926Z
Paper Citation Record · LEDGER
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis
As of 5 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2604.18589.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact2
- verified fuzzy1
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cf73e55c-5fd3-4d3a-a2de-79cd245ce47a · outbound
This paper cites the future of coding.
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis the future of coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:35:22.550467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc55d9fc-5a0a-4126-bcab-c21b9a085d9d · outbound
This paper cites InAdjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, pages 90–92.
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis InAdjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, pages 90–92
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T09:35:23.286763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4fc88c47-eb5a-4e39-8065-73902b9fd490 · outbound
This paper cites TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews.
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T00:15:47.540679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.