Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:25.771682Z
Paper Citation Record · LEDGER
Towards Large-scale Generative Ranking
As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 32 inbound Pith citation observations for arXiv:2505.04180.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:19:47.026404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
29 of 29 outbound references displayed
- verified exact1
- verified fuzzy16
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation f2723690-6d79-4a03-910a-2c07934cc800 · outbound
This paper cites Exploring Training and Inference Scaling Laws in Generative Retrieval.
Towards Large-scale Generative Ranking Exploring Training and Inference Scaling Laws in Generative Retrieval
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:39:25.866593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5e66a01d-56f5-4458-9533-4840036bdde3 · outbound
This paper cites an unresolved cited work.
Towards Large-scale Generative Ranking Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:39:26.102320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ef8ed778-301f-4c95-82d4-84cd516a3a12 · outbound
This paper cites an unresolved cited work.
Towards Large-scale Generative Ranking Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:39:26.091379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1a65ce6a-d0b9-4331-afe7-10a3709466c1 · outbound
This paper cites Wide & deep learning for recommender systems // Proceedings of the 1st workshop on deep learning for recommender systems.
Towards Large-scale Generative Ranking Wide & deep learning for recommender systems // Proceedings of the 1st workshop on deep learning for recommender systems
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.078854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 31995402-73a6-4bd9-88e0-ea064761e1ba · outbound
This paper cites Scaling New Frontiers: Insights into Large Recommendation Models.
Towards Large-scale Generative Ranking Scaling New Frontiers: Insights into Large Recommendation Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.689561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50d12282-65e7-4705-876d-3f877da7b655 · outbound
This paper cites Neural statistics for click-through rate prediction // Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Towards Large-scale Generative Ranking Neural statistics for click-through rate prediction // Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.066420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 22da240d-c3e0-4a5c-ac93-f784f82d4ad6 · outbound
This paper cites Sliding spectrum decomposition for diversified recommendation // Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining.
Towards Large-scale Generative Ranking Sliding spectrum decomposition for diversified recommendation // Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.055293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4400a217-898d-4d7a-aa9e-4678e74259bb · outbound
This paper cites Self-attentive sequential recommendation // 2018 IEEE international conference on data mining (ICDM).
Towards Large-scale Generative Ranking Self-attentive sequential recommendation // 2018 IEEE international conference on data mining (ICDM)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.044539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 256e878a-d9d4-40ec-b00a-8922d37cf9d7 · outbound
This paper cites Scaling Laws for Neural Language Models.
Towards Large-scale Generative Ranking Scaling Laws for Neural Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.704564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6233c76b-53db-40f2-b7cb-0144a6a4df99 · outbound
This paper cites an unresolved cited work.
Towards Large-scale Generative Ranking Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:39:26.033460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 25dbf3ff-dfa8-43a1-9417-b8f0d2071ead · outbound
This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
Towards Large-scale Generative Ranking Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.711646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b6ac3a6-f886-4d81-b1ae-eb8bc0458a8d · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer // Journal of machine learning research.
Towards Large-scale Generative Ranking Exploring the limits of transfer learning with a unified text-to-text transformer // Journal of machine learning research
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.021625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c4674bde-6aef-4255-9eef-b3b53bc7ccc5 · outbound
This paper cites Recommender systems with generative retrieval // Advances in Neural Information Processing Systems.
Towards Large-scale Generative Ranking Recommender systems with generative retrieval // Advances in Neural Information Processing Systems
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:26.010306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6509ee29-5965-453a-a51b-39f83b783ce7 · outbound
This paper cites Non-autoregressive generative models for reranking recommendation // Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Towards Large-scale Generative Ranking Non-autoregressive generative models for reranking recommendation // Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.999772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f81644c7-cc27-4e4e-bff1-25c7e763a9d2 · outbound
This paper cites an unresolved cited work.
Towards Large-scale Generative Ranking Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:39:25.988705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 69e48bed-4794-4e3f-bb36-ed9faa002cb3 · outbound
This paper cites an unresolved cited work.
Towards Large-scale Generative Ranking Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:39:25.978454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c3268945-cd01-41dc-ab79-3b6aa1002a03 · outbound
This paper cites Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations // Proceedings of the 14th ACM conference on recommender systems.
Towards Large-scale Generative Ranking Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations // Proceedings of the 14th ACM conference on recommender systems
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.967828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 67913f06-d2b2-4384-b2e7-ccc6811d30f0 · outbound
This paper cites Learnable item tokenization for generative recommendation // Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
Towards Large-scale Generative Ranking Learnable item tokenization for generative recommendation // Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.955257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9bb67a0e-8dac-417d-bd4b-720a1e3dd313 · outbound
This paper cites EAGER: Two-Stream Generative Recommender with Behavior- Semantic Collaboration // Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Towards Large-scale Generative Ranking EAGER: Two-Stream Generative Recommender with Behavior- Semantic Collaboration // Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.944237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 324e8c88-2d46-4dd4-bd43-753e69d6b536 · outbound
This paper cites Content-Based Collaborative Generation for Recom- mender Systems // Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
Towards Large-scale Generative Ranking Content-Based Collaborative Generation for Recom- mender Systems // Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.933507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f6abd0ce-59c1-4778-933f-ba1cc0c86c95 · outbound
This paper cites Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention // Proceedings of the 18th ACM Conference on Recommender Systems.
Towards Large-scale Generative Ranking Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention // Proceedings of the 18th ACM Conference on Recommender Systems
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.923682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 54a9cabe-38de-40cc-aff8-7af29cc21f33 · outbound
This paper cites Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations.
Towards Large-scale Generative Ranking Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.747342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5243f674-2453-4c7a-8d5c-8c8dc4fc0513 · outbound
This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.
Towards Large-scale Generative Ranking Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.750896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f3f0e4e-f46d-436e-b2a6-6f6feb2ab93e · outbound
This paper cites Scaling vision transformers // Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
Towards Large-scale Generative Ranking Scaling vision transformers // Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.912858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a2836247-bdf6-47f1-b84c-f6878ee5d056 · outbound
This paper cites Sigmoid loss for language image pre-training // Proceedings of the IEEE/CVF international conference on computer vision.
Towards Large-scale Generative Ranking Sigmoid loss for language image pre-training // Proceedings of the IEEE/CVF international conference on computer vision
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.900985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a83797b9-3fb7-4f4a-9181-6dd6686605d9 · outbound
This paper cites Wukong: Towards a Scaling Law for Large-Scale Recommendation.
Towards Large-scale Generative Ranking Wukong: Towards a Scaling Law for Large-Scale Recommendation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.760563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdcb1ef3-fe53-4431-a13e-3015eca85ff3 · outbound
This paper cites NoteLLM-2: Multimodal Large Representation Models for Recommendation.
Towards Large-scale Generative Ranking NoteLLM-2: Multimodal Large Representation Models for Recommendation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:39:25.764421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bb7f710-b326-41f1-9fe2-00cbfefb133a · outbound
This paper cites Towards understanding the overfitting phenomenon of deep click-through rate models // Proceedings of the 31st ACM international conference on information & knowledge management.
Towards Large-scale Generative Ranking Towards understanding the overfitting phenomenon of deep click-through rate models // Proceedings of the 31st ACM international conference on information & knowledge management
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.889876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94e3053d-dbd8-484f-92fe-ed49eb7dc59f · outbound
This paper cites Deep interest network for click-through rate prediction // Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining.
Towards Large-scale Generative Ranking Deep interest network for click-through rate prediction // Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:39:25.879468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
Observation 3360218f-bb60-44bf-abdd-241078655be1 · 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 Towards Large-scale Generative Ranking
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:06:03.798087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07f1671a-3711-4566-adbc-9aa7e288e019 · inbound
Request-Only Optimization for Recommendation Systems cites this paper.
Request-Only Optimization for Recommendation Systems Towards Large-scale Generative Ranking
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:43:53.793746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7b02637-e695-49a1-8316-85e291967c19 · inbound
Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models cites this paper.
Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models Towards Large-scale Generative Ranking
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:19:07.455503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e856c2c2-3cff-49ee-afaa-f0d9515bf8c3 · inbound
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives cites this paper.
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives Towards Large-scale Generative Ranking
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:42:44.463434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 806b7157-abe4-4d2b-bf14-1467a722fc13 · inbound
UniSearch: Rethinking Search System with a Unified Generative Architecture cites this paper.
UniSearch: Rethinking Search System with a Unified Generative Architecture Towards Large-scale Generative Ranking
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:19:47.026404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 892bfbfd-6cdc-4ac5-9ede-292132600206 · inbound
A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.
A Survey on Generative Recommendation: Data, Model, and Tasks Towards Large-scale Generative Ranking
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:50:52.163903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 919ffd54-4da3-4693-a16d-0c8f05a7cea9 · inbound
End-to-End Semantic ID Generation for Generative Advertisement Recommendation cites this paper.
End-to-End Semantic ID Generation for Generative Advertisement Recommendation Towards Large-scale Generative Ranking
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:54:51.403162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2df4c1aa-544a-45e9-9d88-47986ffc52f1 · inbound
MBGR: Multi-Business Prediction for Generative Recommendation at Meituan cites this paper.
MBGR: Multi-Business Prediction for Generative Recommendation at Meituan Towards Large-scale Generative Ranking
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:18:09.327198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d57a1c5-8c2c-4b9b-b475-2689fd23b76e · inbound
Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.
Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Towards Large-scale Generative Ranking
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:01.175399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cb4a2dec-371e-479b-9ba8-3c4c7a379636 · 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 Towards Large-scale Generative Ranking
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:01:18.491532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 463ea0e6-c82a-4013-95bf-bc0cd11fb5ef · 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 Towards Large-scale Generative Ranking
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:15:40.698549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1f3e989-6ed3-4595-969b-fb05590f71fb · inbound
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches cites this paper.
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches Towards Large-scale Generative Ranking
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:07.763341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bc0ff1c2-c8aa-435b-af56-0eaaf2827d50 · inbound
Limitations of LTI Koopman Modeling for Nonlinear Control Systems cites this paper.
Limitations of LTI Koopman Modeling for Nonlinear Control Systems Towards Large-scale Generative Ranking
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:15:43.608143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f718d530-21f1-41b1-825d-b5578006776b · inbound
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space cites this paper.
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space Towards Large-scale Generative Ranking
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:11:17.056106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 402235e1-ba90-4224-9bac-fef0e6835e7c · inbound
One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving cites this paper.
One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving Towards Large-scale Generative Ranking
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T19:49:07.382341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 739198b6-7c8c-4d88-9d5f-743f31a4568e · 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 Towards Large-scale Generative Ranking
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:10:43.281551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b083fdfa-1a95-41af-81ca-33027d5e44aa · 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 Towards Large-scale Generative Ranking
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:53:51.757491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a6bfc8f1-9ca4-42d5-bb72-d52ad5c90883 · 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 Towards Large-scale Generative Ranking
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:15:09.140799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 39ca6766-ce76-46cc-b328-e0c777dc2152 · 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 Towards Large-scale Generative Ranking
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:16:26.021045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e0dc2492-8981-422c-a70c-e085902c949f · 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 Towards Large-scale Generative Ranking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:47:54.548933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a7d61cb-b222-4f14-853c-fad79732f393 · inbound
Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization cites this paper.
Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization Towards Large-scale Generative Ranking
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:49:38.097978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b53422d2-9a97-4873-888e-23ae2b9975ea · inbound
Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization cites this paper.
Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization Towards Large-scale Generative Ranking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:13:09.699709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3123c7f6-5da8-439f-913e-0203c17e5819 · inbound
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale cites this paper.
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale Towards Large-scale Generative Ranking
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T20:32:36.720977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b0f47834-4499-47ea-b507-f3abe4e83938 · inbound
SSRLive: Live Streaming Recommendation with Dynamic Semantic ID cites this paper.
SSRLive: Live Streaming Recommendation with Dynamic Semantic ID Towards Large-scale Generative Ranking
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:07:21.815902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 44f426ed-c7ca-437c-88eb-95a1b849efcd · inbound
Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.
Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Towards Large-scale Generative Ranking
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:49:25.514233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 53585050-0693-4756-8fde-d492ef40c496 · inbound
Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.
Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Towards Large-scale Generative Ranking
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:53:50.228667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f51eb0e2-922f-4d7d-a737-3e2e72c858e3 · inbound
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems cites this paper.
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems Towards Large-scale Generative Ranking
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:00:06.197062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 83eada5f-bfbd-47b6-a2d8-c1c41a2c736b · inbound
GenPage: Towards End-to-End Generative Homepage Construction at Netflix cites this paper.
GenPage: Towards End-to-End Generative Homepage Construction at Netflix Towards Large-scale Generative Ranking
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:55:42.341947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 84b4d87f-bc10-4128-824d-6b388730c9c6 · inbound
TSGR: Taobao Search Generative Retrieval cites this paper.
TSGR: Taobao Search Generative Retrieval Towards Large-scale Generative Ranking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:25:21.182340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc0076f2-d72c-47c2-8ddb-6b054fc43744 · inbound
LLM-Based Generative Retrieval for Snapchat Content Recommendation cites this paper.
LLM-Based Generative Retrieval for Snapchat Content Recommendation Towards Large-scale Generative Ranking
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:29:03.742585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9666522f-6c3a-48e7-8d3b-6dd8fa2aff72 · inbound
Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation cites this paper.
Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation Towards Large-scale Generative Ranking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:14:40.125040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06cf7532-6654-4c75-9888-b48c0f6ad3ca · inbound
Population-Level Generative Modeling for Ranking Data cites this paper.
Population-Level Generative Modeling for Ranking Data Towards Large-scale Generative Ranking
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:45:59.738968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.