Paper Citation Record · LEDGER

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation

As of 6 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 3 inbound Pith citation observations for arXiv:2604.04976.

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

pith.paper-citation-record.v1
2604.04976 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T16:59:06.735742Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:25:22.045978Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T20:43:58.728142Z

Reference resolution

78 of 78 outbound references displayed

verified exact48
verified fuzzy0
unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7795bb27-d1ba-4723-9b16-2915681d0d8e · outbound

This paper cites PinRec: Unified Generative Retrieval for Pinterest Recommender Systems.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation PinRec: Unified Generative Retrieval for Pinterest Recommender Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-23T02:11:57.528699Z

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Observation e65de16c-b6e4-4973-aa71-c951ac15d300 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 2

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Observation 861e8642-17d3-4e98-b50b-9ef5d43e0f64 · outbound

This paper cites LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.477024Z

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Observation e574380d-fcf7-4a02-85ec-633545fb08b7 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 4

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Observation e0f4d2a0-d9cd-4572-b795-674922cf155f · outbound

This paper cites Wide & Deep Learning for Recommender Systems.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Wide & Deep Learning for Recommender Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.166425Z

Source-reported events for the cited work

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Observation de148eec-8e48-4809-a922-73acd205e2fe · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 6

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Observation d6f4e112-190e-4100-a3bd-027468f1839c · outbound

This paper cites The Faiss library.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation The Faiss library

Reference 7

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Source-reported events for the cited work

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Observation f8fe0601-2317-4f68-ab1a-833eab62c052 · outbound

This paper cites Long-Sequence Recommendation Models Need Decoupled Embeddings.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:01.580027Z

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Observation 8a87cf54-f343-4b25-a1a5-495c5142472d · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 9

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Observation 048bd580-d5b7-4ebe-affe-555f3d138ce3 · outbound

This paper cites FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-29T02:04:39.235074Z

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Observation 1447e4ea-262f-439a-a8fc-108e7dc719a6 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 11

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Observation 6399aec5-a911-452a-904b-23588acd6d58 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 12

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Observation f6ad8590-d50a-4182-a938-26678cd48bbf · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Breaking the modality barrier: Universal embedding learning with multimodal llms

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.098252Z

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Observation e85dcdf6-f256-4648-bc8d-dfe3132ed1e0 · outbound

This paper cites DeepFM: a factorization-machine based neural network for CTR prediction.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation DeepFM: a factorization-machine based neural network for CTR prediction

Reference 14

Resolution: verified exact; doi, observed 2026-05-13T17:03:00.446246Z

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Observation 68c8b88b-6500-4176-92b7-85d913d75634 · outbound

This paper cites Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.106578Z

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Observation feec7482-c0fb-4f26-ada3-f7c8376c4e0c · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 16

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Observation 3a55c713-4c58-4945-8750-7d7b9b23046a · outbound

This paper cites Dumais, Paul N.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Dumais, Paul N

Reference 17

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Observation 9de3dee2-66b1-41c0-b17f-1a5ab1a78605 · outbound

This paper cites A Survey on Generative Recommendation: Data, Model, and Tasks.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation A Survey on Generative Recommendation: Data, Model, and Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:08:01.102424Z

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Observation 3d0f9817-75f6-471a-9e29-d05718d9e2c4 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 19

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Observation d628cf3c-781e-4c2c-a8e3-1a921962f73d · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 20

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Observation c995b783-9fc2-40cc-b63c-523db8398854 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 21

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Observation e3e4bde3-3eed-421b-a587-041fc0783651 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 22

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Observation 1d57a1c5-8c2c-4b9b-b475-2689fd23b76e · outbound

This paper cites Towards Large-scale Generative Ranking.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Towards Large-scale Generative Ranking

Reference 23

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Observation 28ecc526-45b2-4999-be97-c8232f4a9119 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 24

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Observation 1af5e1ba-c362-4a42-ae3c-28940c786873 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 25

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Observation 3daf9518-578d-4df2-a9d4-44a6fcefd245 · outbound

This paper cites Scaling Laws for Neural Language Models.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Scaling Laws for Neural Language Models

Reference 26

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Observation 7b9da58e-3a12-4acd-b9d8-5a6c3478dd14 · outbound

This paper cites Minionerec: An open-source framework for scaling generative recommendation.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Minionerec: An open-source framework for scaling generative recommendation

Reference 27

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Observation d5e4787d-ee17-4bb1-b396-eb7c5b9d992c · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 28

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Observation 08c94832-e347-45c9-ab20-d504b56e1042 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 29

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Observation e1418290-68e8-46cc-9f07-2d413d52bd6d · outbound

This paper cites LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System

Reference 30

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Observation 548ba8da-058b-4afd-83a8-e97d1be0b766 · outbound

This paper cites Conan-embedding: General Text Embedding with More and Better Negative Samples.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 31

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Observation 5f7d1389-ba4f-456b-83c7-9fadde309535 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 32

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Observation 69b51c52-8cf4-4433-a9ff-865f5ffe12aa · outbound

This paper cites URLhttps://doi.org/10.1145/3219819.3220025.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation URLhttps://doi.org/10.1145/3219819.3220025

Reference 33

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Observation 84dad979-67d5-4e37-94b1-e2dc1c851eac · outbound

This paper cites DeepSeek-V3 Technical Report.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation DeepSeek-V3 Technical Report

Reference 34

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Observation ebd510e5-3689-4f5c-8ce7-1d73226967af · outbound

This paper cites Decoupled Weight Decay Regularization.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Decoupled Weight Decay Regularization

Reference 35

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Observation 9a0c830d-29fd-4684-828c-d18248453b04 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 36

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This paper cites Lyu, and Irwin King.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Lyu, and Irwin King

Reference 37

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Observation a0f9ff12-70e8-45cd-8903-3e1d5626caed · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 38

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Observation abba363f-2ddf-4011-b981-eb202b1c2775 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence, Vol.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation In Proceedings of the AAAI Conference on Artificial Intelligence, Vol

Reference 39

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Observation 713422fe-11eb-4ad1-a67c-87e9c45badfa · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 40

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Observation 4f2b2476-db26-4346-bce0-051d0d8c7c0f · outbound

This paper cites Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.128449Z

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Observation 5abb6e07-a9d9-4368-b2ce-b3003e4ffb8c · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Representation Learning with Contrastive Predictive Coding

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:08:01.136081Z

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Observation cb041888-63df-42f5-b2ec-ed25a6600517 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 43

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Observation 9350c025-3134-4b60-b184-5fff2f73bd23 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 44

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Observation 949f7b32-e472-4b09-bf5f-61277891d003 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 45

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Observation 9963aebe-b9d3-40ad-b06f-d5167a8a60f2 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 46

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Observation d75eb7d3-fc94-4a75-baad-043ec45dd4fc · outbound

This paper cites Twinbert: Distilling knowledge to twin-structured compressed bert models for large-scale retrieval.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Twinbert: Distilling knowledge to twin-structured compressed bert models for large-scale retrieval

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.473473Z

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Observation bcfdcd63-c8dc-43ac-8a5e-4afba1738c89 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 48

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Observation fdd8a6ce-7d7d-4a40-9319-977fa36f2b50 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 49

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Observation cfadc566-0767-498e-a974-a7a2f80e8b47 · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Factorization machines

Reference 50

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Observation 8276b641-b15a-4787-a715-2c8e501c76dd · outbound

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Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 51

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Observation 9e727241-2d11-4618-a98e-1b933a7b41e7 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.631641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4efbedb2-f358-4899-bc13-e372c91640d1 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.629280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 425ebf4c-6297-457d-9fa9-d17f4ad43341 · outbound

This paper cites 2021.𝐹 𝑀2: Field-matrixed Factorization Machines for Recommender Systems.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation 2021.𝐹 𝑀2: Field-matrixed Factorization Machines for Recommender Systems

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.438005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3cf39967-c478-4477-831b-3b3bda04cda9 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.163980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 443c03da-1a49-4689-8ef3-5e2c9463bcb6 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.636605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 01de373e-f8b8-47ae-ac98-52d31442c0bc · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.634234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81d7419b-8ae9-43f2-a2f2-f37dec760042 · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Inductive Representation Learning on Temporal Graphs

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.146893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation abd3d8c7-a070-4f50-bf2e-5d5c55eef29b · outbound

This paper cites Mmq: Multimodal mixture-of-quantization tokenization for semantic id generation and user behavioral adaptation.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Mmq: Multimodal mixture-of-quantization tokenization for semantic id generation and user behavioral adaptation

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.155896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb721cab-4221-4162-8f03-04d4038c14e4 · outbound

This paper cites Generative recommendation for large-scale advertising.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Generative recommendation for large-scale advertising

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.158466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5019370f-b1a0-4032-a9cf-39ea744575e5 · outbound

This paper cites Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.150217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 703f16d5-ae1e-4a4c-8c8e-b39f1664da3b · outbound

This paper cites Qwen3 Technical Report.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Qwen3 Technical Report

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:08:01.161355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2f2ea0b-947d-482c-a3bd-22f5a3826365 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.641835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 578cf685-d71a-4184-8af1-84f272a57cbf · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.655332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e430638d-6618-4360-987d-f5671afc9de3 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:39:33.082504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b65235c6-bbe8-48f0-a1db-fc0dd2809cac · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.644234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ffdc48c1-6836-4191-a3a2-89d9f160e792 · outbound

This paper cites DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.494587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48ec6827-ac4e-482a-91ae-571ff4212b36 · outbound

This paper cites Towards Scalable Semantic Representation for Recommendation.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Towards Scalable Semantic Representation for Recommendation

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.092038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc5f6507-dc7a-45c5-9649-3336671ea7e1 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.679600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96dc0a4d-d504-4e50-a0c2-36f79ca4945a · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.682409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 613c641b-f420-47b9-be58-40594264d48d · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-05-14T05:33:10.684841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6073aa5f-0a64-486c-9b52-1aa7aa192f13 · outbound

This paper cites Onerec technical report.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Onerec technical report

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.110378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1433140-713c-4402-b5a7-e80acef3eecb · outbound

This paper cites OneRec-V2 Technical Report.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation OneRec-V2 Technical Report

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:56:49.350367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75687d85-0dd4-461e-acb1-bb1c4a39204f · outbound

This paper cites Muthukrishnan, Vishwa Vinay, and Zheng Wen.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Muthukrishnan, Vishwa Vinay, and Zheng Wen

Reference 74

Resolution: verified exact; doi, observed 2026-05-13T17:03:00.463545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f134491f-d08e-4fe2-b72d-49b4b85201dd · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 75

Resolution: verified exact; doi, observed 2026-05-13T17:03:00.461294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4cb3536f-8706-4e8a-ad68-4bc3be06ba47 · outbound

This paper cites an unresolved cited work.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Unresolved cited work

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.449403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 153c7b6e-07a2-4bba-9e48-e62908b39318 · outbound

This paper cites Louis, G.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Louis, G

Reference 77

Resolution: malformed identifier; doi_truncated, observed 2026-05-13T17:03:00.458568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e658f2ba-dd90-40f7-bc4e-1d212cb93f34 · outbound

This paper cites RankMixer: Scaling Up Ranking Models in Industrial Recommenders.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation RankMixer: Scaling Up Ranking Models in Industrial Recommenders

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.141267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 361f4b13-3558-438e-bced-6bf9db4a182c · inbound

LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction cites this paper.

LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:43:58.730615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a4fe175-95a9-47dd-8dec-e9446210c2a1 · inbound

TSGR: Taobao Search Generative Retrieval cites this paper.

TSGR: Taobao Search Generative Retrieval Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:22.045978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b36e29-94c0-459b-bc1c-9c472d006758 · inbound

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction cites this paper.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T11:07:58.849909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.