Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.20666.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:22.465530Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T09:35:22.552377Z
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 22f0bfa7-8d7d-4e3e-a703-504db0222a9c · inbound
Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning cites this paper.
Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:31:04.481518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fc88c47-eb5a-4e39-8065-73902b9fd490 · inbound
CentaurTA Studio: A Self-Improving Human-Agent Collaboration System for Thematic Analysis cites this paper.
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 2026-08-08T06:32:00.761636+00:00.
Observation dee5c6d5-5e82-41a0-a488-5c1fa1555fed · inbound
Training-Free Token-Level Steering for LLM Personalized Co-Writing cites this paper.
Training-Free Token-Level Steering for LLM Personalized Co-Writing TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:22.465530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.