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Paper Citation Record · LEDGER

Uncovering ChatGPT's Capabilities in Recommender Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.02182.

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

pith.paper-citation-record.v1
2305.02182 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:57.135291Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T16:17:34.521934Z

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 e1ff8ad6-b97f-4d4c-94bf-3071378eb4f4 · inbound

PaSa: An LLM Agent for Comprehensive Academic Paper Search cites this paper.

PaSa: An LLM Agent for Comprehensive Academic Paper Search Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:28:32.786941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:32.786941Z digest=sha256:ae1e625bb3241c66869f679764155dc10df88486de1413f4003cb590361abc34

Observation 74ba3814-e0a7-4539-a925-00e6b45a43f2 · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.186459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.186459Z digest=sha256:a8c0b61fa39e1fec2b758effd446e5ddce4e58efd3ae325a8e071c271bfd4932

Observation 981c745c-208e-408b-aa19-f42b9b654ce0 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:17:34.529562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T16:17:33.506329Z digest=sha256:2c67b1cb541afc7b1d72ba229a2fd9ba2c98e826c92c0f64ef55de287d5c2343

Observation 5aa97748-fcc9-4a97-9513-0dd195a4307b · inbound

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors cites this paper.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T19:08:28.474836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:08:28.474836Z digest=sha256:e9beb53491f2c27e70ecad9d02c692a3b33719766b5c9836150166056312046a

Observation 533107f4-b3f7-4256-b043-3196376480e7 · inbound

Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs cites this paper.

Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:18:57.135291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:57.135291Z digest=sha256:4d406d0a304f93e2d4431cd74b3cac046caca0954c116897215c67941303d66b