Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TopicGPT: A Prompt-based Topic Modeling Framework
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.01449.
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, observed 2026-07-01T02:32:19.425550Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 2c2f3140-effa-45f2-8486-193652636a11 · inbound
The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being cites this paper.
The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being TopicGPT: A Prompt-based Topic Modeling Framework
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:22:16.062693Z
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 30b009b6-dde9-4641-838d-8293a84224c1 · inbound
Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study cites this paper.
Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study TopicGPT: A Prompt-based Topic Modeling Framework
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:42:12.263754Z
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 e9d61e0b-76c7-48d9-9f72-838a39f558b6 · inbound
VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents cites this paper.
VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents TopicGPT: A Prompt-based Topic Modeling Framework
Reference 45
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-19T09:37:13.958943Z
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 3ff313f2-652d-4d4e-93d6-af753cedbc77 · inbound
Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs cites this paper.
Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs TopicGPT: A Prompt-based Topic Modeling Framework
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:20:56.097846Z
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 59700289-1422-4d6d-b8fd-60920a06095a · inbound
Proposing Topic Models and Evaluation Frameworks for Analyzing Associations with External Outcomes: An Application to Leadership Analysis Using Large-Scale Corporate Review Data cites this paper.
Proposing Topic Models and Evaluation Frameworks for Analyzing Associations with External Outcomes: An Application to Leadership Analysis Using Large-Scale Corporate Review Data TopicGPT: A Prompt-based Topic Modeling Framework
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:16:04.382643Z
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 7b4a91e7-ea5b-47d8-806d-4591d5cddbde · inbound
A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.
A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization TopicGPT: A Prompt-based Topic Modeling Framework
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T12:05:43.610407Z
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.