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Paper Citation Record · LEDGER

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:1412.3555.

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

pith.paper-citation-record.v1
1412.3555 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 100 of 399 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:37:01.968257Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

554
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 435b88df-306f-40b7-b50b-c3635d69cc64 · inbound

Attention Is All You Need cites this paper.

Attention Is All You Need Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 7

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arxiv_id, observed 2026-05-11T17:35:08.548350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 74eb37e3-395c-45af-a209-2a128d84bdf8 · inbound

Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments cites this paper.

Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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local_arxiv, observed 2026-05-25T17:41:05.685621Z

Source-reported events for the cited work

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Observation 27587ef2-1942-4170-b136-b5f33f965551 · inbound

Latent Multi-Criteria Ratings for Recommendations cites this paper.

Latent Multi-Criteria Ratings for Recommendations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

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local_arxiv, observed 2026-05-25T15:30:58.527639Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ea4c2df8-b151-4d1b-84fc-35a3e5623f2c · inbound

Multiplicative Models for Recurrent Language Modeling cites this paper.

Multiplicative Models for Recurrent Language Modeling Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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local_arxiv, observed 2026-05-25T12:15:47.089360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ce601d45-41d5-4a8a-a7a9-403e6a55caf2 · inbound

Inter and Intra Document Attention for Depression Risk Assessment cites this paper.

Inter and Intra Document Attention for Depression Risk Assessment Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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local_arxiv, observed 2026-05-25T12:30:47.939981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bed91b99-fea8-4d69-8701-c5f0b36a7554 · inbound

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks cites this paper.

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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local_arxiv, observed 2026-05-25T11:40:44.054665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dd638cf6-ba77-4af9-9837-4b34174f23df · inbound

A Bi-directional Transformer for Musical Chord Recognition cites this paper.

A Bi-directional Transformer for Musical Chord Recognition Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 16

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local_arxiv, observed 2026-05-25T02:25:14.845869Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4b3d250e-24e9-4044-92b5-ac38d08d000e · inbound

Click-Through Rate Prediction with the User Memory Network cites this paper.

Click-Through Rate Prediction with the User Memory Network Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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local_arxiv, observed 2026-05-25T00:35:08.625598Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6bbe3271-56cd-4b5e-9c1c-46ff055b73d2 · inbound

Two-stream Spatiotemporal Feature for Video QA Task cites this paper.

Two-stream Spatiotemporal Feature for Video QA Task Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 14

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local_arxiv, observed 2026-05-24T23:30:03.873331Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4683fa5f-1f9c-4ac2-9c0c-d93f08160db6 · inbound

R-Transformer: Recurrent Neural Network Enhanced Transformer cites this paper.

R-Transformer: Recurrent Neural Network Enhanced Transformer Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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local_arxiv, observed 2026-05-24T22:56:26.280684Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e2adc610-1790-419f-9111-c733bf72bb26 · inbound

Deep Learning for Time Series Forecasting: The Electric Load Case cites this paper.

Deep Learning for Time Series Forecasting: The Electric Load Case Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 52

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local_arxiv, observed 2026-05-24T17:59:46.592129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e93c7a86-6a65-47c3-bcd6-95894e184b24 · inbound

Automatically Learning Construction Injury Precursors from Text cites this paper.

Automatically Learning Construction Injury Precursors from Text Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 48

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local_arxiv, observed 2026-05-24T15:29:38.109120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 592f7ef1-4ff1-4966-a2ce-02a4f310b6d4 · inbound

Recurrent Neural Networks with Long Term Temporal Dependencies in Machine Tool Wear Diagnosis and Prognosis cites this paper.

Recurrent Neural Networks with Long Term Temporal Dependencies in Machine Tool Wear Diagnosis and Prognosis Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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local_arxiv, observed 2026-05-24T15:14:37.458248Z

Source-reported events for the cited work

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Observation 3a0784f0-5d45-4d25-9118-a4b3097c9449 · inbound

Recent Trends in Deep Learning Based Personality Detection cites this paper.

Recent Trends in Deep Learning Based Personality Detection Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 20

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no resolver link, observed 2026-08-14T14:37:01.968257Z

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source=pdf_text observed=2026-08-14T14:37:01.968257Z digest=sha256:dc84bf67ffb8a3600fc9fa683b3166b3c761cccdb6e9ef59a4c5c77f7ac04f16

Observation ae47f7ff-d0b2-41e0-83ae-27aec69837b5 · inbound

Temporal Collaborative Ranking Via Personalized Transformer cites this paper.

Temporal Collaborative Ranking Via Personalized Transformer Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 3

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Observation 2b58e37b-5252-4a14-a267-b2e7271d679b · inbound

Towards Making the Most of BERT in Neural Machine Translation cites this paper.

Towards Making the Most of BERT in Neural Machine Translation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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Observation 50254cd6-9fcb-46e6-b4d9-cfeca4d5fc6e · inbound

State-of-the-art Speech Recognition using EEG and Towards Decoding of Speech Spectrum From EEG cites this paper.

State-of-the-art Speech Recognition using EEG and Towards Decoding of Speech Spectrum From EEG Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 18

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Observation 02699e2b-6373-4edd-8433-c924a03b3531 · inbound

Named Entity Recognition for Nepali Language cites this paper.

Named Entity Recognition for Nepali Language Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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Unavailable: canonical work link unavailable.

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Observation af8d57fa-a811-4f10-bd7e-e2cc5036acf1 · inbound

Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion cites this paper.

Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 20

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Observation 59a32055-d1f4-4d08-9e9d-51b0bae5ce4b · inbound

Message Passing Attention Networks for Document Understanding cites this paper.

Message Passing Attention Networks for Document Understanding Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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Observation 820e9bed-d710-4b0a-a4ec-1b1d5d92647e · inbound

A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement cites this paper.

A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 24

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Observation c55f6f70-3492-4e47-82fe-08de8147ed6d · inbound

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning cites this paper.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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source=pdf_text observed=2026-08-14T12:44:25.903032Z digest=sha256:f588db549b344c3c0ca508c6267e42f8795111d31f345ec9590b14ec24ed8799

Observation d45fe5b5-bdb9-4fae-b993-368955a3fdc8 · inbound

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling cites this paper.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 52

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source=pdf_text observed=2026-08-14T12:27:23.725091Z digest=sha256:0754af91b125aa18e13878fd4aa1d69f9343cdcd9bbd9f07977c809f031ea171

Observation 06c64f8f-c4b6-49ba-9557-1eba98144e50 · inbound

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention cites this paper.

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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Observation 85daa52f-bb58-4d54-8db3-3ca05987397c · inbound

A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models cites this paper.

A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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Observation b5f0baa5-de34-4792-a7bf-4e74cf74655c · inbound

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales cites this paper.

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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Observation 0bde8656-f7a5-4b31-9957-567c40985dc7 · inbound

Improved Cardinality Estimation by Learning Queries Containment Rates cites this paper.

Improved Cardinality Estimation by Learning Queries Containment Rates Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 28

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Observation 8cc4849e-f5b9-41e8-b37b-510e2f56ace5 · inbound

Deep Recurrent Architectures for Seismic Tomography cites this paper.

Deep Recurrent Architectures for Seismic Tomography Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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Observation 2a1d6df9-186a-49bc-8581-9e85956ec7a7 · inbound

Compositionality decomposed: how do neural networks generalise? cites this paper.

Compositionality decomposed: how do neural networks generalise? Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 17

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no resolver link, observed 2026-08-14T11:45:19.196670Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:45:19.196670Z digest=sha256:9421c693e5b0f4670dce4831d5715d14c1ad422d1e8ed1e2a41b9b316752570b

Observation 80693b5e-7d79-4399-9aa7-afe53bdc6e1f · inbound

MASR: A Modular Accelerator for Sparse RNNs cites this paper.

MASR: A Modular Accelerator for Sparse RNNs Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 50

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source=pdf_text observed=2026-08-14T11:30:12.210243Z digest=sha256:bc5705bfd6fec9333d2e569608b252967a9529e5591bb492fcd37002a5ca2f70

Observation dcd920a5-9028-4443-b942-761061d3d916 · inbound

PixelVAE++: Improved PixelVAE with Discrete Prior cites this paper.

PixelVAE++: Improved PixelVAE with Discrete Prior Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 35

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source=pdf_text observed=2026-08-14T11:03:39.369433Z digest=sha256:ec60fd6cc81878414b456c01ec59f892ae8f8e404e8a77a36b40d93f154e1158

Observation 31972aa1-f5be-4804-84c6-61acc08da424 · inbound

False News Detection on Social Media cites this paper.

False News Detection on Social Media Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 29

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source=pdf_text observed=2026-08-14T10:35:43.008609Z digest=sha256:ee4898dfe051e502ed122f3d37c4903b05c175a935fb682a47e312027d1f9a51

Observation 4896a7d1-e5f7-428e-a805-1acff569a1c5 · inbound

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation cites this paper.

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

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no resolver link, observed 2026-08-14T10:17:02.792802Z

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source=arxiv_source observed=2026-08-14T10:17:02.792802Z digest=sha256:a557e1107dbe7b7ac456767270fb4a485255e2a088752ff5b8a3560f66cea573

Observation 63a0faa0-88b1-47c4-be8f-32e79e4375b5 · inbound

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations cites this paper.

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 14

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no resolver link, observed 2026-08-14T06:05:46.101895Z

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source=arxiv_source observed=2026-08-14T06:05:46.101895Z digest=sha256:a1a3dca7a352f3c5b2099a68c54f687126f5b8f9cfc61a3695687a58607e990f

Observation 3db3a2ad-268e-4977-90bd-a29c2e84f0f9 · inbound

Visual Question Answering using Deep Learning: A Survey and Performance Analysis cites this paper.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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source=pdf_text observed=2026-08-14T10:56:14.263584Z digest=sha256:88c88cb3c7a6ab70e516c96a8ec987f98f3d86a796dbb460825bf8b240028515

Observation 9ead5d99-58c1-431f-9be6-3ed55ee4fe9c · inbound

Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking cites this paper.

Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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no resolver link, observed 2026-08-14T04:54:28.128290Z

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Observation 216f3527-f62b-499d-8800-709343054006 · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 223

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Observation c3874bb4-e177-40f4-8477-df84a14368ea · inbound

A Survey on Deep Learning Techniques for Action Anticipation cites this paper.

A Survey on Deep Learning Techniques for Action Anticipation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 146

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Observation c53d786f-758a-451d-8c02-f832be62183a · inbound

Mamba: Linear-Time Sequence Modeling with Selective State Spaces cites this paper.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 17

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arxiv_id, observed 2026-05-11T17:35:08.548350Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dbcde3ab-7863-4408-a9fc-a9dae0607d49 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 143

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source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:df8665a5d504bc5c323fd35cb88e4c48a41106a876042b566c53161fc6b68af9

Observation 55ee1edb-eb88-4c0f-8c5f-98566dd9df0f · inbound

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models cites this paper.

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 7

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local_arxiv, observed 2026-05-15T06:58:17.474817Z

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source=pdf_text observed=2026-05-15T06:58:17.370396Z digest=sha256:aa3be7a832b731d87dbf977f3f64953565f66b684b8f54bcbecfa33aae7445fe

Observation 9bacc9c3-4262-4f7c-8723-31ed4b0f07e6 · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 21

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arxiv_id, observed 2026-05-11T17:35:08.548350Z

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Observation d1ec4312-c7ba-454a-b40c-61ca623a30d8 · inbound

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter cites this paper.

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 15

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source=pdf_text observed=2026-08-12T21:40:25.993140Z digest=sha256:8f3e520bb4327db81993310d72cb95fa0db729979e0db2fc5df9f6a20eb5b32d

Observation 9ba8ef2b-f3f7-4fcf-a7d5-67b351a0bab4 · inbound

Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey cites this paper.

Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 23

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source=pdf_text observed=2026-08-12T21:03:56.414762Z digest=sha256:73f08b0cb8a0434851b607246371fb82cbad1b79045c83c4ca9fecca118da7fe

Observation c187b195-895c-4070-a831-a34661150ae7 · inbound

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting cites this paper.

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 19

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source=pdf_text observed=2026-08-12T20:56:16.808510Z digest=sha256:ca3786c36e4b2be79728d3a5adfe42c970fb9491ab17904935055f6519413621

Observation 2a479731-90e5-45b3-8a88-aca88b77e431 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 63

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source=pdf_text observed=2026-08-12T20:23:10.377326Z digest=sha256:c80e9ea5a20418f5369dab733e20bf8dd88f6afe0303cce139ead796fa28701a

Observation 0985a0e2-912a-41f3-8641-a31bb0d936fd · inbound

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era cites this paper.

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 44

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Observation 1c52cbe9-6dbc-40f4-ac24-bca3c9279524 · inbound

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts cites this paper.

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 27

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source=pdf_text observed=2026-08-12T19:24:02.658144Z digest=sha256:9445e37138799324427f456fde90ecedf834825ee4f5823e10d7afad6c4e66c9

Observation a2088956-e610-452f-94d4-6b6d306af97a · inbound

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models cites this paper.

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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source=arxiv_source observed=2026-08-12T19:17:10.528993Z digest=sha256:b68685693f97cab6c23c71421e768935cd58bad43450dea2a8e305caa40a5736

Observation 49fdd9ed-7d8b-4ccc-8624-716fc446b037 · inbound

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network cites this paper.

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

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source=pdf_text observed=2026-08-12T18:58:36.587263Z digest=sha256:53e6c1b16ab0e508febabcf2dd6c2a6c50813fe48175d26ab3fd5573d625869e

Observation 9bc69d98-425f-491b-a56f-13577e2791d0 · inbound

Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder cites this paper.

Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 82

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source=pdf_text observed=2026-08-12T15:57:04.469916Z digest=sha256:92edaf2918b2902ff9db7c135bb20a917053b57847d3df3dcfc29beb0ce8f858

Observation 3589998f-ccce-4c3f-81c7-969cf5214c27 · inbound

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations cites this paper.

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=pdf_text observed=2026-08-12T16:47:25.931065Z digest=sha256:cf470ac5a792e0fd4323871010e9954ef342d210c6cd6aa24cdd9741be9159e9

Observation beb708e3-24d7-4cce-ae2e-c8810b2f1c7d · inbound

Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval cites this paper.

Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 19

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source=pdf_text observed=2026-08-12T15:05:57.724413Z digest=sha256:4ddd277c4783842685c468b891e125fb16963171a4382f8be63d5925011a7808

Observation 3d138598-0cf9-40e2-bfda-0cd2d6ea809e · inbound

The Zamba2 Suite: Technical Report cites this paper.

The Zamba2 Suite: Technical Report Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=arxiv_source observed=2026-08-12T15:04:38.100356Z digest=sha256:7c9ce0b78e8967954c8c3a66273175810dbba4e0d93297287c611ac4997064d7

Observation a57eb17b-ab7d-400c-9026-fccf8ccc637c · inbound

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting cites this paper.

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=pdf_text observed=2026-08-12T13:34:39.612003Z digest=sha256:d9a8b73f26e48d8c3f38e9e06b84e2745535152fe964c280ce64a068067f8cdb

Observation 846a4ce6-4b0e-4fc2-8b2a-702d0a488a00 · inbound

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression cites this paper.

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 13

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source=pdf_text observed=2026-08-12T13:02:31.702138Z digest=sha256:cdc8f1326e5cef01bcaba19375a5ab33f628bc9104e2db494e3d5f55c9b42887

Observation 7d87310a-d55f-4a93-9fc1-48703edcffe6 · inbound

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet cites this paper.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=pdf_text observed=2026-08-12T12:47:03.123723Z digest=sha256:94cc1a081435a2024c0a755f73c0a37b91732ea65b52af1d31c8c0811916867a

Observation a7376c86-b60e-4bbe-bf0d-024d3d6e10b0 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 77

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local_arxiv, observed 2026-05-19T11:08:27.614459Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:54149a51eb39c35a44d2abab0fbd8af805e892ab6f170fc22c72824d914dc38b

Observation 06d9a5d4-d9d6-4a16-a87b-242937f7b853 · inbound

3D Scene Graph Guided Vision-Language Pre-training cites this paper.

3D Scene Graph Guided Vision-Language Pre-training Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 12

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source=pdf_text observed=2026-08-12T11:13:36.186265Z digest=sha256:df9de5784098f6e06f2bbf4555208bf9c58086e44acf8feb375aef5ec05dfdf5

Observation 6fd65d7d-45f8-4165-b2f5-2c1a575956fa · inbound

Homeostasis and Sparsity in Transformer cites this paper.

Homeostasis and Sparsity in Transformer Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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source=pdf_text observed=2026-08-12T05:23:37.950675Z digest=sha256:d04c4d5e79e9c7a7e1825d5bbae1ad4c97e9a4ba97ac2f5654118794928d2679

Observation 1c1e4270-c889-40f9-9b9c-a444862f34c3 · inbound

FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders cites this paper.

FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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source=pdf_text observed=2026-08-12T00:05:14.232449Z digest=sha256:f452f1de89fb30e4183d365e06f43807226f722a2b274931bc001ad09b6a1ebc

Observation 9f5d5cf5-6e17-4e67-ba6f-640a1bb7c51d · inbound

Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration cites this paper.

Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 29

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source=pdf_text observed=2026-08-11T21:21:52.584745Z digest=sha256:cb6daa8b366bc4b1b82c3da92fa07b77aef7179ae60b2f22baf03402a02da1a5

Observation d620cdb3-942b-4e66-9ab0-bb7700d017f6 · inbound

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity cites this paper.

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 17

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source=arxiv_source observed=2026-08-11T20:02:09.268519Z digest=sha256:a8867b15883598b78334a803978646980c08a608f0f1df9563e878c586bfa1b9

Observation 9b24bf18-890c-41c7-8094-2b7c2a5e9193 · inbound

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting cites this paper.

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 27

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source=pdf_text observed=2026-08-11T20:41:23.072379Z digest=sha256:cbafeb7da9da4a77d5c8477fd42f201b77f6a749df978c8092e2c572b5e3db36

Observation 1dbc9750-6840-414e-83ac-f5944d7c0bbd · inbound

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations cites this paper.

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 12

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source=arxiv_source observed=2026-08-11T19:03:25.695799Z digest=sha256:93e2ebd86fa461c0e9dcc530187a562730cc5692c54b34ddb26c13908dc35532

Observation 2c075f5a-e015-4936-b7cf-b170d3721073 · inbound

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language cites this paper.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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no resolver link, observed 2026-08-11T18:46:07.219529Z

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source=arxiv_source observed=2026-08-11T18:46:07.219529Z digest=sha256:80c020080278defdbbebc059edefabdf63f139fb1411d67f265f2658693b854f

Observation 565ba297-e383-42a6-98e9-52b308ab53e2 · inbound

Rumor Detection on Social Media with Temporal Propagation Structure Optimization cites this paper.

Rumor Detection on Social Media with Temporal Propagation Structure Optimization Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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no resolver link, observed 2026-08-11T18:01:45.814291Z

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source=arxiv_source observed=2026-08-11T18:01:45.814291Z digest=sha256:dea42bb3b6a5cf6acf8f9d0a18c922eeed1974bc40327d3f3be2537a13bffe24

Observation 1d8aea88-ec4e-4765-a94f-781aab82c286 · inbound

Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments cites this paper.

Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 44

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source=pdf_text observed=2026-08-11T16:24:57.825271Z digest=sha256:201dce8689f850f0e04a0bf890e957729c23437dc18dcb40034abb107aa5c495

Observation d73980bd-9fcd-4aec-89cc-428477c334b3 · inbound

SPT: Sequence Prompt Transformer for Interactive Image Segmentation cites this paper.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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source=pdf_text observed=2026-08-11T16:14:48.453546Z digest=sha256:81deac73e094385e47b3886003ccdad37b35d04ac59cae3cba5d9d76dedd2fca

Observation 146af5f6-1d9b-40b4-9356-dbdce1eac069 · inbound

Learning Latent Spaces for Domain Generalization in Time Series Forecasting cites this paper.

Learning Latent Spaces for Domain Generalization in Time Series Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=pdf_text observed=2026-08-11T15:17:18.655025Z digest=sha256:3a2c116f769e9580f385b16d116433a231681a70f5ab3064f2fb8b3e2abff51f

Observation 1728a45f-c43e-42c3-811e-36fe65e08665 · inbound

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks cites this paper.

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 34

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source=pdf_text observed=2026-08-11T14:28:07.542090Z digest=sha256:f958b1767882097c3a5f75de952d7927c8ff55783f88b624e57f4b65b043023e

Observation b364a33d-48d6-4504-9d29-746ff5d8b15b · inbound

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting cites this paper.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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source=pdf_text observed=2026-08-11T17:33:17.135831Z digest=sha256:8af75ff29c3f455a6f92ff8dcdfa0ea4c8db59360dee89c74f900661948419e6

Observation 79a07fbd-00c8-40ac-a043-d691f5ab2deb · inbound

Embracing Large Language Models in Traffic Flow Forecasting cites this paper.

Embracing Large Language Models in Traffic Flow Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 14

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Observation ff8c3300-403c-4d26-87d1-af080786d73c · inbound

PT: A Plain Transformer is Good Hospital Readmission Predictor cites this paper.

PT: A Plain Transformer is Good Hospital Readmission Predictor Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 56

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source=pdf_text observed=2026-08-11T13:40:23.129041Z digest=sha256:2211c5dcc78d103697975b555252b44a50b23f7d218aa6fe98b9c9da6cf42462

Observation c95cca93-144b-448c-b4dd-323db706a774 · inbound

Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint Maps cites this paper.

Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint Maps Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 11

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source=pdf_text observed=2026-08-11T13:03:57.743581Z digest=sha256:0c8b99f6a3e414fe8cc06b591c0e5154e71b530305c8c3a1cf275256ec815904

Observation c6d1b2fe-b590-4bdd-b7bf-7edae07b1ebc · inbound

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture cites this paper.

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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source=pdf_text observed=2026-08-11T12:41:32.577723Z digest=sha256:1be0fc5d705b9a96e223faf3e7644999969e2fdfdc7c300d03a320e560aaadf9

Observation 5c1194ee-339c-4ccb-8aac-2e6e19e9d6db · inbound

What Matters in Building Vision-Language-Action Models for Generalist Robots cites this paper.

What Matters in Building Vision-Language-Action Models for Generalist Robots Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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local_arxiv, observed 2026-05-17T21:37:50.828876Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T21:37:50.617813Z digest=sha256:9a56e021dfa50432c5e44f61cd9e22f365046648dfc476b432a3a60619746598

Observation a9c460eb-2f3a-409f-83af-8bc41588e80b · inbound

A Survey of RWKV cites this paper.

A Survey of RWKV Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 268

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source=pdf_text observed=2026-08-11T11:53:40.586419Z digest=sha256:d0bb2c96d5d91b25ce85ea946bd385c571c65c1d1ef5f80ab9a80ff8496595cf

Observation 95224754-5a3f-485c-b1d0-36227b01e157 · inbound

A Review of the Marathi Natural Language Processing cites this paper.

A Review of the Marathi Natural Language Processing Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2008

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source=pdf_text observed=2026-08-11T11:26:22.404275Z digest=sha256:58c811eade5a474829e2a9ba3be31ffb570763b029483e9b51418fb08d2a0787

Observation e78639ca-1a5d-47a0-a5b9-00fcab2d9e03 · inbound

Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins cites this paper.

Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 33

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source=pdf_text observed=2026-08-11T11:13:26.300413Z digest=sha256:2c4df71586aa395ff9263045e61dc4cbe17181f83736fad04c95564fa687de10

Observation 34550fcf-7006-41cf-99bd-ae37382fa397 · inbound

Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support cites this paper.

Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 7

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source=pdf_text observed=2026-08-11T10:56:39.739526Z digest=sha256:a390067c0ea8e9d05bb03a06514a7a65399f31c4a5f858b8b5c23b02c1b4d314

Observation 858c9c02-838d-4585-bd13-7234bb07ed05 · inbound

Formal Mathematical Reasoning: A New Frontier in AI cites this paper.

Formal Mathematical Reasoning: A New Frontier in AI Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 122

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source=pdf_text observed=2026-08-11T10:51:29.973787Z digest=sha256:fdf8932709c0802a85c23753b1f23a41bbc41403f27def12d2585481792db56c

Observation 551f7958-4b08-4b75-a30d-4292242e1fda · inbound

STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction cites this paper.

STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 24

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source=pdf_text observed=2026-08-11T05:31:34.854893Z digest=sha256:d41b649e2e51d9b6467e6d010e3900329a3ca78aa2a7eae524226a20e8b8dc61

Observation cfa6250b-a6ca-40c0-9067-53b24d4f5124 · inbound

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey cites this paper.

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 27

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source=pdf_text observed=2026-08-11T05:23:03.473992Z digest=sha256:d73c8284d855e4408ae34a27b7aaf02d2859b3fe9db22b9ff876c8f9f542423a

Observation f0280b0d-d632-424f-af12-b900bb1c5186 · inbound

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

An Automatic Graph Construction Framework based on Large Language Models for Recommendation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 11

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source=pdf_text observed=2026-08-11T04:58:30.211275Z digest=sha256:9305ec91fb2933538f2b68e6048603f9597dd5e117da407f9a2caba7b36875f5

Observation 28c1c0ad-3221-44b5-8de5-2190afe094f4 · inbound

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study cites this paper.

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 33

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source=pdf_text observed=2026-08-11T04:55:44.929733Z digest=sha256:4d0611f95e64c8546a8af561305b08095aed0f133fe081291fdc8862cb41eb5c

Observation d1ce1ed3-0bbc-414c-9008-dd7d85a31a09 · inbound

Revisiting PCA for time series reduction in temporal dimension cites this paper.

Revisiting PCA for time series reduction in temporal dimension Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

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source=pdf_text observed=2026-08-11T00:42:13.033209Z digest=sha256:49d8680c612cf53789e51960fb6a44fc76fe5f8c07e18ba66c30c0cd59a741a2

Observation b033c8c9-b00c-4a73-b4bc-d6e08ed0611b · inbound

Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation cites this paper.

Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 22

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source=pdf_text observed=2026-08-10T23:32:48.195930Z digest=sha256:17dc1aa195225f3d7b8c55fe82ea8601e7cbb37089a8f946e99902508deeb3ff

Observation 44e2f7b2-e8b7-43ba-92dc-6cb4cb706cdc · inbound

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy cites this paper.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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source=arxiv_source observed=2026-08-10T23:21:16.797295Z digest=sha256:6785cd8b34adfea3851e4e594d7474a3be956a7558310dd78ceead3e24d84667

Observation d65ce098-e6b4-4ee3-a76f-52c62916960b · inbound

DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation cites this paper.

DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 65

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source=pdf_text observed=2026-08-10T22:57:59.069949Z digest=sha256:3464659f24679c766aa609f2782d611c8c00b7547bf88e72f3590c36ef5a7dc1

Observation 99e071e3-bb3d-4e53-8ba9-6e405782d032 · inbound

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 46

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no resolver link, observed 2026-08-10T22:38:28.269114Z

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source=pdf_text observed=2026-08-10T22:38:28.269114Z digest=sha256:7a05621577cfd05db81ac509d3e45e50248cd14f25f5ab1e4a0c88128a417e87

Observation 6e0cd09f-a7af-45ab-b426-a976bb2a8c11 · inbound

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction cites this paper.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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source=pdf_text observed=2026-08-10T21:23:46.066549Z digest=sha256:aac03cebf477d360861152ad4ef52408c744fbfa7e0408a38cee37f8d85d75b4

Observation 74189119-bc7a-415e-b220-043bed198314 · inbound

Music Tagging with Classifier Group Chains cites this paper.

Music Tagging with Classifier Group Chains Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 23

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no resolver link, observed 2026-08-10T21:25:44.047169Z

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source=pdf_text observed=2026-08-10T21:25:44.047169Z digest=sha256:461b2b42f68c5904fa4d1b682ef5aeed1150134a8b5d0d8a4e0f7c247e0bb9d0

Observation 1684ec90-5603-4fce-9a83-f0b23a1ebfe4 · inbound

FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion cites this paper.

FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 23

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no resolver link, observed 2026-08-10T21:15:40.945407Z

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source=pdf_text observed=2026-08-10T21:15:40.945407Z digest=sha256:5b937abe5ccf571dc7fe752574a1ea8a621e9e33a6fb528442e5e7662a845953

Observation dbbe348a-7d00-4aac-bace-d0153710f255 · inbound

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments cites this paper.

Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

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no resolver link, observed 2026-08-10T20:34:09.525377Z

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source=pdf_text observed=2026-08-10T20:34:09.525377Z digest=sha256:0fc652e2738c44fd8627e943c2e5240108202f445a5ef9d89827ead2ebc734e4

Observation 8486ce53-cb4e-4255-bb95-b6862255663e · inbound

Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching cites this paper.

Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 39

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source=pdf_text observed=2026-08-10T20:36:34.956460Z digest=sha256:d0b5b2a4def065d5d7fcf140e366eda0179d96a198b177570eaf4711dbdfb2e8

Observation 33eb794f-e628-4c02-bea2-6afe497c172d · inbound

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations cites this paper.

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

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no resolver link, observed 2026-08-10T18:37:19.296844Z

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source=arxiv_source observed=2026-08-10T18:37:19.296844Z digest=sha256:8a8358fc7a11ebbacb3c8b3966cb557badef47adbfbf97e673491376175b95cf

Observation 5f2e4516-61f7-4ea1-85b6-df8f4086c632 · inbound

Machine Learning Modeling for Multi-order Human Visual Motion Processing cites this paper.

Machine Learning Modeling for Multi-order Human Visual Motion Processing Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 76

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no resolver link, observed 2026-08-10T16:52:44.193996Z

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source=pdf_text observed=2026-08-10T16:52:44.193996Z digest=sha256:d3f680fadd267962cbc1a58096c203884f6d4a3c0a8c0377512fe062f1f42895

Observation 0fd2aaa1-f4d8-4dbc-90c7-5563f3cfaebd · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 12

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source=pdf_text observed=2026-08-10T16:21:30.178781Z digest=sha256:099699f8b430c7abc8d05a27d3254aac79f29afd45fec6eaccdca78dbf43656f

Observation c5c56119-1878-4b08-9f20-84ee1594cf60 · inbound

Emotion estimation from video footage with LSTM cites this paper.

Emotion estimation from video footage with LSTM Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 28

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source=pdf_text observed=2026-08-10T16:11:55.505979Z digest=sha256:54de039a0578bac6cbc914cbb25b25093c4215faed7b51a993fb7bf4070e9d30