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Paper Citation Record · LEDGER

TopicGPT: A Prompt-based Topic Modeling Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.01449.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.01449 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:28.800493Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 597d7944-7eea-4724-ba50-3ef851e349e4 · inbound

Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling cites this paper.

Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling TopicGPT: A Prompt-based Topic Modeling Framework

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:28.800493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:28.800493Z digest=sha256:0db9521dcff06d9b0f59e1296da322ff553e5a0331b43a0a01429502ddc56c62

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:18:54.918640Z digest=sha256:2e6b84971fa8f7353d1395cefa851a2a1bd3e10e0fb1cc062d9d315c1a947c34

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:37:18.549303Z digest=sha256:9dc30e537498fc273bc5fa114423468a0caa077e8a709f4acc902f44cef10b3c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:36:50.323723Z digest=sha256:a8e02b6c2a7d7d16871f9fa40e09fc1bb8d10a3c98659f43b6b14fa293b97f99

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:41:38.054380Z digest=sha256:b6e26fcfdb3558066a9b847f99ef4bccfa36f0bb9a1491e6a27aa9871eb80c7b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:00:29.505272Z digest=sha256:b3af2474ca18b2799aebdfb1d4169f4a86a854b5f6acb32201c0a843975a2a27

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:6b9afdd1a5af841bd46be2073a8a079ac8770b3d0407d849d9f3fd0bc7b0ffec