Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2309.17147.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:01:53.683988Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T05:34:32.419744Z
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 733c513d-15ef-4205-ab8d-c9a176eb87ed · inbound
ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams cites this paper.
ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:04:27.929906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce3b2dd5-a2c9-4b07-b183-09debbeb6c5e · inbound
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data cites this paper.
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:32:11.157360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dba5147b-ef0c-487f-92f7-aafe0ab249e9 · inbound
From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis cites this paper.
From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:46:45.883196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 071c8cf7-5823-4296-a45f-2b0d78bbc21a · inbound
LLMCode: Evaluating and Enhancing Researcher-AI Alignment in Qualitative Analysis cites this paper.
LLMCode: Evaluating and Enhancing Researcher-AI Alignment in Qualitative Analysis Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:01:53.683988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8797b2b2-4db5-4ac0-aa19-524d1255818e · inbound
LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding cites this paper.
LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:50:30.150400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea60ce20-fcbf-40e9-afca-833cbfb0a946 · inbound
Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models cites this paper.
Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:19:49.894734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbdf3594-e652-4a39-b68a-59832cb7dc02 · inbound
Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications cites this paper.
Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:19:30.368240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8b4b35b-3a3d-4d4e-b324-ccee55c064ae · inbound
Empowering Computing Education Researchers Through LLM-Assisted Content Analysis cites this paper.
Empowering Computing Education Researchers Through LLM-Assisted Content Analysis Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:10:23.522656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58d05840-65fa-4acb-8613-b8608d72d59b · inbound
EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage cites this paper.
EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage Using Large Language Models for Qualitative Analysis can Introduce Serious Bias
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T05:34:32.421224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.