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Paper Citation Record · LEDGER

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.13783.

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

pith.paper-citation-record.v1
2502.13783 v1

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:59.135698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:49:55.804914Z

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 32786c20-a89d-4b55-82bd-b14fdf7a6a95 · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:59.135698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:59.135698Z digest=sha256:281e1deb0b11f933d4a8a92dda871a2b6ff89a45d4f455e1449a1f68de1dd497

Observation 16a94149-f1eb-43c9-a87a-6289fa930dbb · inbound

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent cites this paper.

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:05.529502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:45:05.529502Z digest=sha256:01cc4e32f54d1cde5fa4c95bb28f91e392e93e6cb61a1eafb8ff5f2f3bddb6d9

Observation 5beea15e-f358-48b4-9f4a-43c4671fe30f · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T20:25:12.086796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:25:12.086796Z digest=sha256:41eff1f9785b9daf793da2c21eba4e3e420536fae1066cfc8f8a67590baf2f2b

Observation 73435de6-afa1-4828-82a7-2b8cd97fce0b · inbound

IE as Cache: Information Extraction Enhanced Agentic Reasoning cites this paper.

IE as Cache: Information Extraction Enhanced Agentic Reasoning Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:49:55.807803Z

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=2026-05-10T10:49:50.177400Z digest=sha256:3beb50eda79809f9ca79abd18fd4d6e32f800bd7c73d42054e0414fbc020fe47

Observation 7198a994-786d-4b54-ae75-3f1117453e8d · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:27:51.763576Z

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=2026-05-10T08:26:02.605596Z digest=sha256:7094cfdb6d67dadd2c94d53772ebe3c4f8903d40cdf78791c35d4fd057072989