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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 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 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:29.347059Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 3d2a929c-b9bd-4bde-bebf-c6020d1158e8 · inbound

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

Large Language Model Enhanced Recommender Systems: A Survey A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 36

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no resolver link, observed 2026-08-11T13:11:48.619485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:11:48.619485Z digest=sha256:b66be9fe4426e8dd63f38f7b8a62b574d8018bc31b00b94cc250345fba707ca0

Observation 3d29d976-f353-4050-ae8c-ab52d5db82fd · inbound

An Automatic Graph Construction Framework based on Large Language Models for Recommendation cites this paper.

An Automatic Graph Construction Framework based on Large Language Models for Recommendation A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 43

Resolution
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no resolver link, observed 2026-08-11T04:58:30.883182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:58:30.883182Z digest=sha256:c340d25273d4a3c1ce7e5e235605ade84960063e12e36867c75cf42d24041e9a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:18.263924Z digest=sha256:357bac08171021d621ad47329dd16e98128ac94a9a53c7f05784b24a51bfc07c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:42:09.450235Z digest=sha256:e58e2643dfe629203a59247590b545d1f4de8993aead37979985feb372dd5d76

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.

source=pdf_text observed=2026-08-07T10:21:54.170513Z digest=sha256:0e09fdd768f98f932b56e3e644cb70f1fc843cdfd380ee449bd9c0ba90cf6112

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.

source=pdf_text observed=2026-08-06T23:49:15.305212Z digest=sha256:d3077490dbe96c9d176b34b5e5fcf2b6bb87e5ceebe6142219c9cb873c4b9c4f

Observation ebc9c51b-0ab5-43ee-bd24-e1c97c93e7c7 · inbound

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects cites this paper.

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 41

Resolution
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no resolver link, observed 2026-08-15T19:20:29.347059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:29.347059Z digest=sha256:d8ed22b320b1f5c113071cb46063d0c8c6f0a47b2f34645f9efe24c3ebe4cb4e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:47.782126Z digest=sha256:bb253c6995de1a564bf55541def484ac483bb75133a555965a51f35cfe006aff

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:45:46.880568Z digest=sha256:8e217cef526c7722626382497b233e6e0821a0a860660a11df799d93bfdb934f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:48:14.123097Z digest=sha256:8678890fc2663f8af778b4f05d8c2dc644d5c1ec60ec34b08497c6053d0d20b5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T05:53:22.577986Z digest=sha256:93b5145dacf92925e254bb260976a1d904e4b9776237e12c0dd8659e98b14aa8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:04.530230Z digest=sha256:cf20f3c8ce7055ab9c3d53b09ae8600d1edd4c9c7b8cddffba61d4e1eed2c357

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:14.763580Z digest=sha256:9f622c5629e74f86ce4329852b68f1b4f51d7a80b8f6afbb8272b201238ad7db

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.

source=pdf_text observed=2026-08-06T16:41:38.586292Z digest=sha256:8cc1a501378c7dae5c811f434e625c6a492a59dcfb2027738fc15840a63ebb5a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:17:10.345154Z digest=sha256:343fe4b03ba04a0669cff1f2374c8753bdb810bdb99695aa47cbf635c99f38e6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T11:51:53.936922Z digest=sha256:d273fb03d3c339381038533a881115b19d3126364cd9f0644390a9d04179542e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:52:31.463022Z digest=sha256:3b907f38b8c8978cd5b3224aa62c07e22d603af8cffa575eb3c8108d6d6d5b9a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T17:01:07.245161Z digest=sha256:aeaf489d714cfc8f4a6b6b6dc246086c2086636351700db75c683a4afdf62301

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.

source=pdf_text observed=2026-08-02T19:15:40.982227Z digest=sha256:ae078187ac7381d6c95fe77d79d129b65447353b47209165f4bc344146979910

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T16:20:39.024412Z digest=sha256:5e59d71a1afee480ab36495f63f8868c19c40af10d997eb2b00393637120ee43

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T18:46:08.393219Z digest=sha256:fae467bef78e1fe7daf15a501154e20120396ec9c4c78511f3afd4ddeff917fe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T23:50:47.510019Z digest=sha256:a261dfeb2d0137484c488838f5fad980185a85efc09c2ab9c44cd24b7dec9592

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T00:12:24.019383Z digest=sha256:cb8774e9e2ab4100ec8588c3cf68b5e92b74503781418021ab29bb6f139e63af

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T06:06:49.422159Z digest=sha256:36177a96a01071c11151c20bfc48af4108607d7253f1f2a69c4ba134bf1f53d3

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.

source=pdf_text observed=2026-08-02T14:47:54.877541Z digest=sha256:88e101a7a02962de3cc5f7c5af7d2d7ae7f1d553bb188285b07ffdcf6defd4c5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T02:30:29.654122Z digest=sha256:027c80b669d48e92599b0a343e58094eedf806203ee505a5f08b6acc4522274b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T02:16:25.272764Z digest=sha256:dacb1f8f69ca2548f06d38319674c1560ffdd4c1101403aa918a2350e9544434

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T15:49:45.212333Z digest=sha256:fc9f1049844860bd552841816a87084d8388c8aa06d4924631dad276e476de67

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T11:56:50.401811Z digest=sha256:a48e50cd9357a60638c6ae6aa6694327ecd75e2f3be9b4a8d4ef7fbf39ab5cbe

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.

source=pdf_text observed=2026-08-01T08:44:51.550618Z digest=sha256:bb232df9e5a9ad03de66416a804d2c4ed233acbbb5cf28a1dcdd1ea6afac597a

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.

source=arxiv_source observed=2026-08-02T12:15:44.726281Z digest=sha256:4d29c8d4b44381da5960d3e8ead5d00d5cfafe740133748d3d4b8709235b2f14