Paper Citation Record · LEDGER

Evaluating ChatGPT as a Recommender System: A Rigorous Approach

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.03613.

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

pith.paper-citation-record.v1
2309.03613 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.091270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T12:20:06.775036Z

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 3fa0cf2d-0c6b-4b87-ab77-4126a84eb23e · inbound

Metamorphic Evaluation of ChatGPT as a Recommender System cites this paper.

Metamorphic Evaluation of ChatGPT as a Recommender System Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:57:18.780802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9afcb4-1d3d-4840-8309-118177252e93 · inbound

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems cites this paper.

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:02.984741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ff4584-364d-4416-a30f-413f24983ee9 · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.091270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb9b8bc-63db-4c9d-aa9a-38501ad0c526 · inbound

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M cites this paper.

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:16.250097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd56511-1131-4b1b-92f1-db6e1375664a · inbound

Stairway to Fairness: Connecting Group and Individual Fairness cites this paper.

Stairway to Fairness: Connecting Group and Individual Fairness Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T16:46:31.444985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1aeff86-ea60-4f67-aec4-45ef1af9fbb3 · inbound

Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation cites this paper.

Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation Evaluating ChatGPT as a Recommender System: A Rigorous Approach

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:20:06.778086Z

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.