Paper Citation Record · LEDGER

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2507.18993.

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

pith.paper-citation-record.v1
2507.18993 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:06:21.019573Z

measured 15 of 15 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:14:13.105401Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0c97708-ac6a-4e97-9a08-749501eeb88b · outbound

This paper cites ArXiv preprint abs/2407.13699 (2024), https://arxiv.org/abs/2407.13699.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations ArXiv preprint abs/2407.13699 (2024), https://arxiv.org/abs/2407.13699

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:20.951600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ae2af1-e87f-41c7-a0bb-32f45b6feec3 · outbound

This paper cites O’Reilly (2024), https://www.oreilly.com/library/view/hands-on-large- language/9781098150952/.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations O’Reilly (2024), https://www.oreilly.com/library/view/hands-on-large- language/9781098150952/

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:06:21.397670Z

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 947eee12-6aa6-47b0-8e33-9db32f88ab71 · outbound

This paper cites Accessed: 2025-05-23.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Accessed: 2025-05-23

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:21.529558Z

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 e6145f75-520c-4037-881f-e9cbc0dce74b · outbound

This paper cites ArXiv preprint abs/2502.11528 (2025), https://arxiv.org/abs/2502.11528.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations ArXiv preprint abs/2502.11528 (2025), https://arxiv.org/abs/2502.11528

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:20.967312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e5a769-06f9-43ea-8767-0bbf42ea9978 · outbound

This paper cites Large Language Model Enhanced Recommender Systems: A Survey.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Large Language Model Enhanced Recommender Systems: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:20.972531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebec607f-6553-4287-bc49-3e9000306f65 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:20.977717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b161a765-a5da-4cbe-9dc6-cd979e7fb7b6 · outbound

This paper cites an unresolved cited work.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:06:21.512417Z

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 da3283fe-c511-45b1-86b2-05f466308238 · outbound

This paper cites A Survey on LLM-powered Agents for Recommender Systems.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations A Survey on LLM-powered Agents for Recommender Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:20.989800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4758fa53-1157-439a-b370-735be67b6a30 · outbound

This paper cites Communications of the ACM40(3), 56–59 (1997).

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Communications of the ACM40(3), 56–59 (1997)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:21.495959Z

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 14a3d16a-27d6-4701-b00a-ff432f712899 · outbound

This paper cites ArXiv preprintabs/2503.23037 (2025), https://arxiv.org/abs/2503.23037.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations ArXiv preprintabs/2503.23037 (2025), https://arxiv.org/abs/2503.23037

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:21.000175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da619f3-600b-4d7a-8235-78f939e54d2d · outbound

This paper cites In: Leskovec, J., Grobelnik, M., Najork, M., Tang, J., Zia, L.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations In: Leskovec, J., Grobelnik, M., Najork, M., Tang, J., Zia, L

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:21.005041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7a3392-8076-417d-a152-069924bea67c · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Survey on Evaluation of LLM-based Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:21.009847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33f8971-0a65-4e98-a1a3-4323ef2389f5 · outbound

This paper cites A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval.

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:06:21.014857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b1434b-f431-4e89-9f7f-9621b77b4e8f · outbound

This paper cites Foundations and Trends® in Privacy and Security7(4), 247–396 (2025).

Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations Foundations and Trends® in Privacy and Security7(4), 247–396 (2025)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:06:21.479605Z

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.

Pith citing papers

Observation 0e202e13-11d2-4902-96e7-f214dec7deda · inbound

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems Agent0: Leveraging LLM Agents to Discover Multi-value Features from Text for Enhanced Recommendations

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-11T19:14:13.105401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.