Paper Citation Record · LEDGER

A Survey of Generative Search and Recommendation in the Era of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2404.16924.

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

pith.paper-citation-record.v1
2404.16924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:18.263924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:37:45.509556Z

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 2257fca9-a87e-40c6-908c-738f8e144e18 · inbound

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search cites this paper.

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.263924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56126050-6403-4755-a38e-69fd8989c7ce · inbound

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion cites this paper.

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:42:09.450235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fcc427-5a90-4dba-a666-f4bce252991b · inbound

Generating Long Semantic IDs in Parallel for Recommendation cites this paper.

Generating Long Semantic IDs in Parallel for Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:54.170513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53cfde24-6e9e-414f-a4b8-694f1d16010f · inbound

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks cites this paper.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:15.305212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289bf4b2-16c7-418a-a59f-fdc77918067c · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:47.782126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537fdb26-9260-4a41-98d5-849d3456c93c · inbound

Optimizing Conversational Product Recommendation via Reinforcement Learning cites this paper.

Optimizing Conversational Product Recommendation via Reinforcement Learning A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:46.880568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 486eec6f-2e5d-446b-8231-e3e76c0c556d · inbound

Heterogeneous User Modeling for LLM-based Recommendation cites this paper.

Heterogeneous User Modeling for LLM-based Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:14.123097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20673f78-49ef-475c-95d5-990c02a5ada6 · inbound

Brownian Bridge Diffusion for Sequential Recommendation cites this paper.

Brownian Bridge Diffusion for Sequential Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:57:08.356220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0ccc43f-1ea6-4601-bf7b-848598c86a29 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:04.530230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce92320-e785-4aab-a005-0bf006bda2b4 · inbound

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning cites this paper.

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:14.763580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b61443e-7819-4a09-9d7c-2982a74fd24b · inbound

Generative Multi-Target Cross-Domain Recommendation cites this paper.

Generative Multi-Target Cross-Domain Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:38.586292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65de2a5-3dfe-497a-805a-14bbe9d2336c · inbound

SSRL: Self-Search Reinforcement Learning cites this paper.

SSRL: Self-Search Reinforcement Learning A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:10.345154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e6e959-3f8c-44bc-9e30-ec7b7bc89ff5 · inbound

End-to-End Semantic ID Generation for Generative Advertisement Recommendation cites this paper.

End-to-End Semantic ID Generation for Generative Advertisement Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.409056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e79b8b3-8690-41c9-83b5-7081df45dfc2 · inbound

DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation cites this paper.

DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:31.463022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e38336-33ec-44b1-ab50-b072a02ea8c1 · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:01:18.537925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d714e87-7ba9-46b4-a64b-ed93170bf25e · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:15:40.982227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4609c5b4-9510-4564-a9fa-ffee20479155 · inbound

Action-Aware Generative Sequence Modeling for Short Video Recommendation cites this paper.

Action-Aware Generative Sequence Modeling for Short Video Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:46:40.217331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8a13331-78a9-40b3-aa1d-647a452aeac3 · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:43.296866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4c7d9ae-fa34-4788-8fd9-f1be33797fbe · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:53:51.804427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0d54455-f56b-40c7-bd06-c77e3172c3b7 · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.161279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3234a33-4594-4aaa-bd58-cab06cca5b15 · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:26.133229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ba8ce5f-31e0-4c54-bdec-f40a58b1eb69 · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:47:54.877541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5e6b4c-45b7-4c70-961f-ebba48c17d1e · inbound

Conditional Memory Enhanced Item Representation for Generative Recommendation cites this paper.

Conditional Memory Enhanced Item Representation for Generative Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:32:06.287163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9137829e-d336-4812-b27d-3520b140fb38 · inbound

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL cites this paper.

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:18:31.073486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7c4a422-58b0-497f-be6c-5a0675e0a51c · inbound

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval cites this paper.

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:23:39.946265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04e224f6-4793-47ef-b744-d953efe19c90 · inbound

SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers cites this paper.

SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:37:45.510972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4800448c-89e9-4341-b982-2d23097a5326 · inbound

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation cites this paper.

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T08:44:51.550618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d95deb-47d1-4fb0-a497-d357956a5004 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:44.726281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.