Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:46.475659Z
Paper Citation Record · LEDGER
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation
As of 17 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2504.15085.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
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- verified fuzzy63
- unresolved10
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 91c470ce-4c2c-488d-9f2a-1df4ed598e9c · outbound
This paper cites An mdp-based recommender system,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation An mdp-based recommender system,
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd738ed5-e47c-4bd1-aa83-ccd875e85c75 · outbound
This paper cites Translation- based recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Translation- based recommendation,
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 402f3d16-f81f-4f95-8560-fe1feaede108 · outbound
This paper cites Fusing similarity models with markov chains for sparse sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Fusing similarity models with markov chains for sparse sequential recommendation,
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 5605d8a0-740f-48cc-b517-38ea00b64bfa · outbound
This paper cites Neural attentive session-based recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Neural attentive session-based recommendation,
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 77eb84aa-0de3-49cb-b6fb-5f5dacd26c97 · outbound
This paper cites π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation π-net: A parallel information-sharing network for shared-account cross-domain sequential recommendations,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf9ad148-42a2-412f-8215-cc2f8f8b64cc · outbound
This paper cites Sequential recommendation via cross-domain novelty seeking trait mining,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommendation via cross-domain novelty seeking trait mining,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.421805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0574086d-4957-4410-a3fc-34fb3c8141a7 · outbound
This paper cites Da-gcn: A domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Da-gcn: A domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation,
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation b949b986-b458-4367-96b4-b711301e8ae8 · outbound
This paper cites Semi: A sequential multi-modal information transfer network for e-commerce micro-video recommenda- tions,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Semi: A sequential multi-modal information transfer network for e-commerce micro-video recommenda- tions,
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbc5acd5-8ca0-4d08-ae7c-3235c9692b1a · outbound
This paper cites Contrastive cross-domain sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Contrastive cross-domain sequential recommendation,
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6efbf15-d430-40d6-aa3b-a4e94b8daf65 · outbound
This paper cites Recguru: Adversarial learning of generalized user representations for cross-domain recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Recguru: Adversarial learning of generalized user representations for cross-domain recommendation,
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f7bdd02-00b2-45f1-a019-cf165803775e · outbound
This paper cites Mixed information flow for cross-domain sequential recommendations,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Mixed information flow for cross-domain sequential recommendations,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.357959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 47e879f7-59e2-4ad4-8399-cfd7c980423b · outbound
This paper cites The cognitive science of visual-spatial displays: Im- plications for design,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation The cognitive science of visual-spatial displays: Im- plications for design,
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5326061f-8681-4654-82bc-6031c6001356 · outbound
This paper cites Benefits of multisensory learning,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Benefits of multisensory learning,
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 22913d99-367a-48c9-9fab-0dcc7deed4bb · outbound
This paper cites Learning transferable visual models from natural language supervision,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Learning transferable visual models from natural language supervision,
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ca4caef-f97b-433a-845e-f214a23d9a3c · outbound
This paper cites SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation SLCF-Net: Sequential LiDAR-camera fusion for semantic scene completion using a 3D recurrent U-Net,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f81a14c9-dd49-4209-ae96-da13bb33e948 · outbound
This paper cites OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbb7e89c-470d-4a18-b59a-89a73806db5d · outbound
This paper cites SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90400390-fbc3-4759-b7f6-ae00f386c7f3 · outbound
This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17c37df4-0344-41ab-98f6-fd11d358a9f5 · outbound
This paper cites CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44e484ef-5bed-41bb-9931-4524da913e0d · outbound
This paper cites Ich-prnet: a cross-modal intracerebral haemorrhage prognostic pre- diction method using joint-attention interaction mechanism,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Ich-prnet: a cross-modal intracerebral haemorrhage prognostic pre- diction method using joint-attention interaction mechanism,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db608014-73d6-4dba-9370-014a96d3445d · outbound
This paper cites Ich-scnet: Intracerebral hemorrhage segmentation and prognosis classification net- work using clip-guided sam mechanism,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Ich-scnet: Intracerebral hemorrhage segmentation and prognosis classification net- work using clip-guided sam mechanism,
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4951b309-6343-46d1-be64-8e814ab7abd1 · outbound
This paper cites Towards visual-prompt temporal answer grounding in instructional video,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Towards visual-prompt temporal answer grounding in instructional video,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.271427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 93412dc5-e94b-4612-8319-252b7542a166 · outbound
This paper cites Distinct but correct: generating diver- sified and entity-revised medical response,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Distinct but correct: generating diver- sified and entity-revised medical response,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.258741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c9e330d-adf0-4043-8d40-553d03f39363 · outbound
This paper cites Towards better chinese-centric neural machine translation for low-resource languages,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Towards better chinese-centric neural machine translation for low-resource languages,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.247851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e386d96-34c4-4d5a-81e8-87568fcc3b85 · outbound
This paper cites Image protection scheme for bridge management systems based on quantum coupling function,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Image protection scheme for bridge management systems based on quantum coupling function,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.236454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90df496d-261d-43eb-a21e-5db28af52321 · outbound
This paper cites A smart agriculture image protection scheme based on annealing algorithm and affine transformation is optimized for s-box generated by chaos,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation A smart agriculture image protection scheme based on annealing algorithm and affine transformation is optimized for s-box generated by chaos,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.224404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3ce7d3f5-b62d-4fa9-aebf-7ae55871514f · outbound
This paper cites MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 489e1a0b-0e5e-4969-9eb3-d714b18f26d3 · outbound
This paper cites Multimodal com- monsense knowledge distillation for visual question answering (student abstract),.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Multimodal com- monsense knowledge distillation for visual question answering (student abstract),
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.213295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05200c19-6621-4989-969e-42f547e3e8dd · outbound
This paper cites Diverse cotraining makes strong semi- supervised segmentor,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Diverse cotraining makes strong semi- supervised segmentor,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.201180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7eabf484-0ee0-481b-aa45-92d2f1652427 · outbound
This paper cites Core Knowledge Deficits in Multi-Modal Language Models.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Core Knowledge Deficits in Multi-Modal Language Models
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6667b670-725b-42f3-921c-1a3e8363a7af · outbound
This paper cites Egoprivacy: What your first-person cam- era says about you?,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Egoprivacy: What your first-person cam- era says about you?,
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ce88839-9bb5-4d05-b359-3dd6b025318c · outbound
This paper cites Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.177209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b008a288-3c36-4e0f-938a-b9301c8e7231 · outbound
This paper cites Event-guided low-light video semantic segmentation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Event-guided low-light video semantic segmentation,
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2508f257-f9a2-4e74-983d-5e83288f1b4a · outbound
This paper cites Two-dimensional hyperchaos-based encryption and compression algorithm for agricultural uav-captured planar images,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Two-dimensional hyperchaos-based encryption and compression algorithm for agricultural uav-captured planar images,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.165587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea97f24d-0d59-4ab8-9971-3a6f1fb48db3 · outbound
This paper cites Adaptive attention-enhanced yolo for wall crack detection.,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Adaptive attention-enhanced yolo for wall crack detection.,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.153904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee7eb8cb-823a-4846-a2d6-9a8fba978efb · outbound
This paper cites Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.142723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be043f40-3a84-4eee-85e7-b10d0bd223d0 · outbound
This paper cites Spiking Point Transformer for Point Cloud Classification.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Spiking Point Transformer for Point Cloud Classification
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T11:37:46.545698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f56f714-eba4-46af-8847-193b79b0301d · outbound
This paper cites Generative prompt controlled diffusion for weakly supervised semantic segmentation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Generative prompt controlled diffusion for weakly supervised semantic segmentation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.131602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 371ca21d-a4c7-4c9d-8d74-80279ed7711c · outbound
This paper cites What’s in a name? a large-scale computational study on how competition between names affects naming variation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation What’s in a name? a large-scale computational study on how competition between names affects naming variation,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.119484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bf19b399-0250-41f4-9a7d-8984a7a373b2 · outbound
This paper cites Vispa (vision spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Vispa (vision spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.106254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e918f33f-6c98-4d94-9fe3-dda47010f0f0 · outbound
This paper cites Prompt Categories Cluster for Weakly Supervised Semantic Segmentation.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:37:46.342601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 263bcee6-5d38-40ef-81ba-0b039fcfd5ea · outbound
This paper cites Learning to gen- erate text-grounded mask for open-world semantic segmentation from only image-text pairs,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Learning to gen- erate text-grounded mask for open-world semantic segmentation from only image-text pairs,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.094387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d72f938e-c58c-48ce-aff6-465ba2c66717 · outbound
This paper cites Sequential recommender systems: challenges, progress and prospects,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommender systems: challenges, progress and prospects,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.079599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3cb257df-d189-4c25-8890-0635e7f7316b · outbound
This paper cites Factorizing personalized markov chains for next-basket recommenda- tion,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Factorizing personalized markov chains for next-basket recommenda- tion,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.066933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b8911f24-a1bd-47ac-b17d-44509468a1b9 · outbound
This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Empirical evaluation of gated recurrent neural networks on sequence modeling,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.054115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a9fcb09-e1ee-40d7-9c1d-dcdf0c57e483 · outbound
This paper cites Long short-term memory,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Long short-term memory,
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:37:46.361752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d58c964-b85f-4a77-a129-e00a0686093c · outbound
This paper cites Convolutional networks for images, speech, and time series,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Convolutional networks for images, speech, and time series,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.035171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32532ef8-e3de-4922-93a3-72175a061cf1 · outbound
This paper cites Attention is all you need,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Attention is all you need,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.022093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c9d5bf9-4e91-4b5b-bc8d-cec680aedd7a · outbound
This paper cites Session-based recommendations with recurrent neural networks,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Session-based recommendations with recurrent neural networks,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:47.009231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5b95ceb-804c-41a8-8e09-4f7388065a5e · outbound
This paper cites Deep interest evolution network for click-through rate prediction,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Deep interest evolution network for click-through rate prediction,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.995270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a7d28701-3ba7-4aae-b8b2-bcdfd0bd684e · outbound
This paper cites Personalized top-n sequential recommen- dation via convolutional sequence embedding,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Personalized top-n sequential recommen- dation via convolutional sequence embedding,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.977337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f7e25f1f-ff89-4215-b3bc-4ed2bfcf9c7b · outbound
This paper cites Self-attentive sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Self-attentive sequential recommendation,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.965532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1bbdead-8405-47f6-a786-faa4de1dc2c2 · outbound
This paper cites Deep interest network for click-through rate prediction,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Deep interest network for click-through rate prediction,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.953270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0730007d-831d-4f5a-820c-6f10a9d9094d · outbound
This paper cites Sequential recommendation with graph neural networks,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Sequential recommendation with graph neural networks,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.940848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation da2ddbb5-3b04-425c-a07d-648dc2daa250 · outbound
This paper cites Dual-interest factorization- heads attention for sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Dual-interest factorization- heads attention for sequential recommendation,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.928577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1e9872d2-c87c-4e83-bdab-861c4c62c1e3 · outbound
This paper cites Dual contrastive network for sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Dual contrastive network for sequential recommendation,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.915746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3fbd613-8b14-4301-981f-1bf98698f1e3 · outbound
This paper cites Cross-domain recommender systems,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cross-domain recommender systems,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.902699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b75265e1-952f-403e-80e9-f7a5893a34bc · outbound
This paper cites Image fusion for cross-domain sequential recommenda- tion,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Image fusion for cross-domain sequential recommenda- tion,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.889884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f865df0-de7f-494c-a600-081d44b370cf · outbound
This paper cites Relation- fused attention in knowledge graphs for recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Relation- fused attention in knowledge graphs for recommendation,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.878423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c5819f4-9560-4016-8186-8bb1382f80fc · outbound
This paper cites Relational learning via collective matrix factorization,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Relational learning via collective matrix factorization,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.867583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2dbf4334-4b0d-474f-b2cb-ba3adc1f0cc6 · outbound
This paper cites A survey on transfer learning,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation A survey on transfer learning,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.856787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a984aaf-eef1-4c3a-99ef-736cc8845087 · outbound
This paper cites Minet: Mixed interest network for cross-domain click-through rate prediction,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Minet: Mixed interest network for cross-domain click-through rate prediction,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.844311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6efa34d0-4c9c-4d5b-a8b7-3a8b8272edca · outbound
This paper cites Conet: Collaborative cross networks for cross-domain recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Conet: Collaborative cross networks for cross-domain recommendation,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.833251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34b249ad-16cf-4c76-a5cc-ad04d7096a06 · outbound
This paper cites Transfer learning in collaborative filtering for sparsity reduction,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Transfer learning in collaborative filtering for sparsity reduction,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.821729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdf47baa-8615-4283-b394-592ecbff4605 · outbound
This paper cites Easytime: Time series forecasting made easy,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Easytime: Time series forecasting made easy,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.808736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a310d11-ecdd-4ec4-9d84-fa5bfb716787 · outbound
This paper cites Duet: Dual clustering enhanced multivariate time series forecasting,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Duet: Dual clustering enhanced multivariate time series forecasting,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.797410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d811883-e55e-4ad5-82ed-6d74a74f4b51 · outbound
This paper cites Self-attentive sequential recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Self-attentive sequential recommendation,
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.786221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be8a8d89-b1bf-4560-94bd-842e83323fa6 · outbound
This paper cites Contrastive learning for cold-start recommendation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Contrastive learning for cold-start recommendation,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.774496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a80aa0b4-d1e2-4915-a2db-1a79e96294c2 · outbound
This paper cites The trec-8 question answering track report,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation The trec-8 question answering track report,
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.762445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0efee68b-0f60-46ed-b860-cbfd28113e1a · outbound
This paper cites Cumulated gain-based eval- uation of ir techniques,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Cumulated gain-based eval- uation of ir techniques,
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.749965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6487fb43-d399-4dca-9628-38dcf42a2345 · outbound
This paper cites Adam: A method for stochastic optimization,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Adam: A method for stochastic optimization,
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.738580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8517275-5d3a-4964-9eab-ff896e78fce3 · outbound
This paper cites Session-based recommendation with graph neural networks,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Session-based recommendation with graph neural networks,
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.725864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e66a1369-f09f-4e58-bafe-d423045b0dc0 · outbound
This paper cites Triple sequence learning for cross-domain recommen- dation,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Triple sequence learning for cross-domain recommen- dation,
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.713819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 084d785e-8046-4000-9282-bc3731931a7a · outbound
This paper cites Parallel split-join networks for shared account cross-domain sequential recommendations,.
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation Parallel split-join networks for shared account cross-domain sequential recommendations,
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:37:46.700811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.