Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2409.12740.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:56:55.645326Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:25:51.255113Z
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 61870f33-2f08-4096-bed5-28a6289dbd9a · inbound
A Contextual-Aware Position Encoding for Sequential Recommendation cites this paper.
A Contextual-Aware Position Encoding for Sequential Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:56:55.645326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d22a75ce-d6d7-4d76-8ea9-2573f7ad9580 · inbound
SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation cites this paper.
SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:15:10.889754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c5bf0f6-b6c8-412d-80fe-06a84f5980cb · inbound
Generate, Not Recommend: Personalized Multimodal Content Generation cites this paper.
Generate, Not Recommend: Personalized Multimodal Content Generation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:11.910614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef3f9c0b-0c35-4ed0-bae8-a18a04a98b09 · inbound
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:21.689804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630499d7-01b2-4c3b-823d-a896c8a3fc47 · inbound
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation cites this paper.
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:03:40.309340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8369ba14-fe54-46ed-9324-00278c1934b6 · inbound
ImpReSS: Implicit Recommender System for Support Conversations cites this paper.
ImpReSS: Implicit Recommender System for Support Conversations HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:18.052936Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ce0ea76-5961-44e1-8c39-088c88554b34 · inbound
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning cites this paper.
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:40.369144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 084f4239-4f22-4b2c-b380-ca79e855234d · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:06:00.373455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79afb898-4ddd-4dcf-8a21-1942f944298d · inbound
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders cites this paper.
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:17:49.431774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a554a91-033a-4b7d-b52c-674f301dcca3 · inbound
OneRec-V2 Technical Report cites this paper.
OneRec-V2 Technical Report HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:56:49.265186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c00f4381-77e0-46dd-8858-188bc33e00fd · inbound
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines cites this paper.
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:46:03.495838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 269ad83f-ffc9-41e6-a533-7981dc0e4da4 · inbound
A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.
A Survey on Generative Recommendation: Data, Model, and Tasks HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:50:52.020680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc0ec962-5f3e-4a70-a1b5-3e74087599fe · inbound
From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction cites this paper.
From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:08:54.826512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cbfe496-391a-4d81-8b47-f792ec05abc9 · inbound
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations cites this paper.
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:26:42.117585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f6d74d08-6f69-4d88-a2aa-cfa771b6767b · inbound
SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation cites this paper.
SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:27:41.420897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 02642985-e1c6-4aec-9437-ffdffaf34d3e · inbound
End-to-End Semantic ID Generation for Generative Advertisement Recommendation cites this paper.
End-to-End Semantic ID Generation for Generative Advertisement Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:54:51.413848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff652dc1-9213-4767-a126-3c2ef48ee570 · inbound
IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems cites this paper.
IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:01:01.415732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a1d3c4b0-098c-47b9-9072-6bdfe9190ec9 · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:01:18.507981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation de609575-e485-4a97-95b4-5c68268698ac · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:15:40.325406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aab7f71f-d7c5-4081-98dd-d977959f4699 · inbound
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression cites this paper.
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.834350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 70e445a5-2ec2-4cfa-94b2-c281c932c741 · inbound
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches cites this paper.
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:07.785840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a5b2e1e3-f517-4159-b7ec-b6e7c64736cb · inbound
Modeling Behavioral Intensity and Transitions for Generative Recommendation cites this paper.
Modeling Behavioral Intensity and Transitions for Generative Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:01:20.606140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 02d3cf5e-88ec-4250-9611-58db990aaf2f · inbound
Limitations of LTI Koopman Modeling for Nonlinear Control Systems cites this paper.
Limitations of LTI Koopman Modeling for Nonlinear Control Systems HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:15:43.603643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1b0c6cfe-7e74-4aba-b175-027d2d3ac568 · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:11:17.072400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f22daa8-7ff9-4d88-b96f-e935876e56e5 · inbound
Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation cites this paper.
Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:51:06.640696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1c7afe11-6db5-45dc-8e8c-3078e98a9f21 · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:10:43.269576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a79123b1-13b0-48de-a60a-6f5aa00e19e4 · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:53:51.799916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 67eeb07f-c0d2-4b96-af4c-83548174f137 · 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 HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:15:09.163759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b0e08615-48b9-49ed-b0a1-d9e5f3061a68 · inbound
RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation cites this paper.
RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:10:53.896192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1fa167e4-4e90-4ab4-ab25-c38b4c9ea1ba · inbound
RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching cites this paper.
RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:55:56.394920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a9120a9f-3658-4e07-8c67-1eb6744f206e · inbound
Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation cites this paper.
Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:22:23.351903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ad9d3c69-a5c6-4a94-b396-4c22fe6f6e70 · inbound
From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark cites this paper.
From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:53:58.195368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 14d63fd1-d020-446b-8203-40fc247dd4af · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T18:42:29.344241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 04f0621c-074a-44e2-8849-3bc9b0fac1f7 · inbound
Intuition-Guided Latent Reasoning for LLM-Based Recommendation cites this paper.
Intuition-Guided Latent Reasoning for LLM-Based Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:25:51.257567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e627445-04e2-4a6a-bbb1-ecea25ba07ef · inbound
UniSGR: Unified Framework for Semantic ID Generation and Ranking cites this paper.
UniSGR: Unified Framework for Semantic ID Generation and Ranking HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T21:55:00.514210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75594462-2d35-46be-8080-6cff47b5af31 · inbound
TSGR: Taobao Search Generative Retrieval cites this paper.
TSGR: Taobao Search Generative Retrieval HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:25:20.405500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d85f863f-f15f-4283-b415-48f9302ba893 · inbound
SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.
SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:20:20.934356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3314d9f-8a23-47b4-a4d6-d66d9aa987f9 · inbound
SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.
SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:02:20.073864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05ff05c7-6b1b-4530-aee9-ed5d165e0775 · inbound
IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation cites this paper.
IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T14:25:02.342752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09496fdf-8a5d-40cf-8162-3bf9709ef07f · inbound
From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation cites this paper.
From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:28:18.843232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29793728-9125-4ec9-aa78-109d4c214917 · inbound
Building a User Foundation Model for the Open Web cites this paper.
Building a User Foundation Model for the Open Web HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T20:16:39.311219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6c03b76-a475-4272-ad4a-e666e64e6dd6 · inbound
GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System cites this paper.
GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:34:16.729423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.