Paper Citation Record · LEDGER

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.03605.

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

pith.paper-citation-record.v1
2401.03605 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:45.514971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.345374Z

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 1218db7e-c930-4ffc-b5e8-c2e199558397 · inbound

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts cites this paper.

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:45.514971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98a9f8f-76d9-47fe-8267-5328d4e5fa11 · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:59.115139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76ab4e19-138e-4fa9-b113-ee7d173b6f08 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:50:52.139685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74f3ac44-af23-4ac3-87f1-1817b6995e5f · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

Reference 212

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.346967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.