Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:44:39.644854Z
Paper Citation Record · LEDGER
Continual Low-Rank Scaled Dot-product Attention
As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2412.03214.
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
60 of 60 outbound references displayed
- verified exact1
- verified fuzzy37
- unresolved22
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 83a7882d-d623-4b10-a68b-fc7d063bb216 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Continual Low-Rank Scaled Dot-product Attention Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.560811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9e8ee95-a755-45e8-b082-363e52dccca1 · outbound
This paper cites Trans- formers in the real world: A survey on NLP applications.
Continual Low-Rank Scaled Dot-product Attention Trans- formers in the real world: A survey on NLP applications
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:42.116252Z
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 309c28f1-4373-43ca-88e0-f0413ab061a8 · outbound
This paper cites Transformer architecture and attention mechanisms in genome data analysis: A comprehensive review.
Continual Low-Rank Scaled Dot-product Attention Transformer architecture and attention mechanisms in genome data analysis: A comprehensive review
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:42.095133Z
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 cdbf2adc-389f-42ae-ae75-7c64cbf05300 · outbound
This paper cites Vision Transformers for Action Recognition: A Survey.
Continual Low-Rank Scaled Dot-product Attention Vision Transformers for Action Recognition: A Survey
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.631872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c031925-eda3-4cab-a169-f101a01fca84 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Continual Low-Rank Scaled Dot-product Attention An image is worth 16x16 words: Transformers for image recognition at scale
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.658027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08f7b4d3-2a99-4f6c-8ad6-3359775363da · outbound
This paper cites Singh, Muskaan Chopra, Sudhakar Kumar, and Francesco Colace.
Continual Low-Rank Scaled Dot-product Attention Singh, Muskaan Chopra, Sudhakar Kumar, and Francesco Colace
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:42.064666Z
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 8dcf52df-da94-4a1a-bbe6-8c7341c60f5e · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:42.046836Z
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 c633bb72-ae33-4ffb-acac-0e1585a0e699 · outbound
This paper cites A Survey of Deep Learning and Foundation Models for Time Series Forecasting.
Continual Low-Rank Scaled Dot-product Attention A Survey of Deep Learning and Foundation Models for Time Series Forecasting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.678717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1320ca10-055f-4a0d-93b5-a468a428c8e5 · outbound
This paper cites Single-layer Vision Transformers for more accurate early exits with less overhead.
Continual Low-Rank Scaled Dot-product Attention Single-layer Vision Transformers for more accurate early exits with less overhead
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.957365Z
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 21a2c198-fe2b-4800-a2fa-e56f3f188726 · outbound
This paper cites Efficient High-Resolution Deep Learning: A Survey.
Continual Low-Rank Scaled Dot-product Attention Efficient High-Resolution Deep Learning: A Survey
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.914753Z
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 2a48665e-950a-4eaa-b1ee-1195e1c47984 · outbound
This paper cites Reducing transformer depth on demand with structured dropout.
Continual Low-Rank Scaled Dot-product Attention Reducing transformer depth on demand with structured dropout
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.798661Z
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 47b7b396-2cc8-4173-9b52-834147af03f7 · outbound
This paper cites Transformer Multivariate Forecasting: Less is More?.
Continual Low-Rank Scaled Dot-product Attention Transformer Multivariate Forecasting: Less is More?
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.741777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1381d7d6-c38f-4296-9cbf-46b3f1961653 · outbound
This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.
Continual Low-Rank Scaled Dot-product Attention Informer: Beyond efficient transformer for long sequence time-series forecasting
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.757602Z
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 30e07cca-337d-4c57-95b1-2a9e25c3d1d0 · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
Continual Low-Rank Scaled Dot-product Attention Generating Long Sequences with Sparse Transformers
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.824736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 657ca656-b3a5-445c-b4b0-a702e519e3b8 · outbound
This paper cites Longformer: The Long-Document Transformer.
Continual Low-Rank Scaled Dot-product Attention Longformer: The Long-Document Transformer
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:37.885666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18ed6feb-b2d0-4764-a462-022723270451 · outbound
This paper cites Colwell, and Adrian Weller.
Continual Low-Rank Scaled Dot-product Attention Colwell, and Adrian Weller
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.722643Z
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 33154db5-73dc-4163-be7d-057b180bb6fc · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:41.691539Z
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 0c206191-9b08-4ce4-9273-d89ee9b659bd · outbound
This paper cites On compressing deep models by low rank and sparse decomposition.
Continual Low-Rank Scaled Dot-product Attention On compressing deep models by low rank and sparse decomposition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.619889Z
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 482af051-da69-4fec-8bb6-bcb2d36bc70f · outbound
This paper cites Nystr ¨omformer: A nystr ¨om- based algorithm for approximating self-attention.
Continual Low-Rank Scaled Dot-product Attention Nystr ¨omformer: A nystr ¨om- based algorithm for approximating self-attention
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.518206Z
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 eb233905-3fc3-4df1-8bd8-3d133d3b2ae4 · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:41.491454Z
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 7fec859d-ce3d-4cd7-a76e-129963bb2511 · outbound
This paper cites Cvt: Introducing convolutions to vision transformers.
Continual Low-Rank Scaled Dot-product Attention Cvt: Introducing convolutions to vision transformers
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.438242Z
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 8f04936d-ae7b-4c44-ab1c-581c45bfba35 · outbound
This paper cites Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah.
Continual Low-Rank Scaled Dot-product Attention Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.400138Z
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 9325c7c2-9068-4b8a-8a04-e45a2970a68a · outbound
This paper cites Is space-time attention all you need for video understanding? In International Conference on Machine Learning , pages 813–824, 2021.
Continual Low-Rank Scaled Dot-product Attention Is space-time attention all you need for video understanding? In International Conference on Machine Learning , pages 813–824, 2021
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.229959Z
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 244c4f92-1030-4139-a755-de2cbb375f73 · outbound
This paper cites Video swin transformer.
Continual Low-Rank Scaled Dot-product Attention Video swin transformer
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.159513Z
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 cf1ba3af-7d2f-4c83-aacd-caffe87114eb · outbound
This paper cites Vivit: A video vision transformer.
Continual Low-Rank Scaled Dot-product Attention Vivit: A video vision transformer
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.073936Z
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 9dc1b33e-e954-4c81-9d43-c3e96c4862ba · outbound
This paper cites Multiscale vision transformers.
Continual Low-Rank Scaled Dot-product Attention Multiscale vision transformers
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:41.039577Z
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 e85fd8f0-7c47-4960-875d-f2e66f881132 · outbound
This paper cites Continual inference: A library for efficient online inference with deep neural networks in pytorch.
Continual Low-Rank Scaled Dot-product Attention Continual inference: A library for efficient online inference with deep neural networks in pytorch
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.874754Z
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 441c2d58-0a39-4922-b48e-94bf01d15d6b · outbound
This paper cites Recurrent Neural Networks (RNNs): A gentle Introduction and Overview.
Continual Low-Rank Scaled Dot-product Attention Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:38.334752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0d4dba8-0bcf-44ad-a636-4c1860f81a45 · outbound
This paper cites Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network.
Continual Low-Rank Scaled Dot-product Attention Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:38.424754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2044053f-ad31-4bb8-8800-96f6f7ac2bfb · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
Continual Low-Rank Scaled Dot-product Attention Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:38.496915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d264e9e3-0d8e-4735-8b9a-3f2a6a9d6d70 · outbound
This paper cites Con- tinual transformers: Redundancy-free attention for online inference.
Continual Low-Rank Scaled Dot-product Attention Con- tinual transformers: Redundancy-free attention for online inference
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.788814Z
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 b0f1d5b5-ebc6-414a-b48f-f7ce3bf69179 · outbound
This paper cites Continual spatio-temporal graph convolutional networks.
Continual Low-Rank Scaled Dot-product Attention Continual spatio-temporal graph convolutional networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.757538Z
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 8d2f63dd-9cd7-4759-a86b-49399ca1f81d · outbound
This paper cites Continual 3d convolutional neural networks for real-time processing of videos.
Continual Low-Rank Scaled Dot-product Attention Continual 3d convolutional neural networks for real-time processing of videos
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.728866Z
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 8a4844b2-ca53-42ac-b7e9-81674a1eab92 · outbound
This paper cites Vision Xformers: Efficient Attention for Image Classification.
Continual Low-Rank Scaled Dot-product Attention Vision Xformers: Efficient Attention for Image Classification
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:44:39.810327Z
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 df2aa885-c7d9-4d02-b71f-dd91d41e02d2 · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:40.704544Z
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 bd29012b-19ed-4aa8-9190-82c481547247 · outbound
This paper cites Improving CUR matrix decomposition and the nystr ¨om approximation via adaptive sampling.
Continual Low-Rank Scaled Dot-product Attention Improving CUR matrix decomposition and the nystr ¨om approximation via adaptive sampling
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.664219Z
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 45102145-f9a7-42e6-9079-5fad17f40a35 · outbound
This paper cites Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and Jo˜ao F.
Continual Low-Rank Scaled Dot-product Attention Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and Jo˜ao F
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.634763Z
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 620357d3-163d-4eb3-a11f-f13997d261b3 · outbound
This paper cites Eventful transformers: Leveraging temporal redundancy in vision transformers.
Continual Low-Rank Scaled Dot-product Attention Eventful transformers: Leveraging temporal redundancy in vision transformers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.573467Z
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 480e11bc-f926-4ba9-a14d-ba55add0535f · outbound
This paper cites SOFT: softmax-free transformer with linear complexity.
Continual Low-Rank Scaled Dot-product Attention SOFT: softmax-free transformer with linear complexity
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.549808Z
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 9bde083f-78fd-4cf1-b7fd-a96e666e84c3 · outbound
This paper cites Adaptive multi-resolution attention with linear complexity.
Continual Low-Rank Scaled Dot-product Attention Adaptive multi-resolution attention with linear complexity
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.526966Z
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 14bcae77-5745-44ec-aa1a-0621c15731f8 · outbound
This paper cites Kwok, Slobodan Vucetic, and Bahram Parvin.
Continual Low-Rank Scaled Dot-product Attention Kwok, Slobodan Vucetic, and Bahram Parvin
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.504483Z
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 2187b7f2-73f8-41c2-92d7-025cd52f77b3 · outbound
This paper cites Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification.
Continual Low-Rank Scaled Dot-product Attention Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.490992Z
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 713ab673-31da-436a-9487-5088d642b9c8 · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:40.468909Z
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 966c9101-4ecb-47bf-9b51-f5114dfed757 · outbound
This paper cites Razavi, A.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.444590Z
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 1ce32579-6c34-40c5-853d-c2b6589cac75 · outbound
This paper cites Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala.
Continual Low-Rank Scaled Dot-product Attention Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.411820Z
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 3f276387-f333-4237-8a4f-81244191b6fd · outbound
This paper cites Deep Learning.
Continual Low-Rank Scaled Dot-product Attention Deep Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:39.077024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89eb0dd3-f32d-46b6-bfba-9a2b66c8a1fb · outbound
This paper cites A scale for the measurement of the psychological magnitude pitch.
Continual Low-Rank Scaled Dot-product Attention A scale for the measurement of the psychological magnitude pitch
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.373758Z
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 2b540d7a-cd01-4458-bbf1-a159ad915c63 · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:40.357671Z
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 246b5cb2-cd41-4610-80b0-526f39841219 · outbound
This paper cites Rethinking CNN Models for Audio Classification.
Continual Low-Rank Scaled Dot-product Attention Rethinking CNN Models for Audio Classification
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:39.145701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b45f7573-7419-4ec0-b994-4f31ada548cd · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:40.338794Z
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 ce5d047b-73b8-477f-8287-a4cd9120388c · outbound
This paper cites Very deep convolutional networks for large-scale image recognition.
Continual Low-Rank Scaled Dot-product Attention Very deep convolutional networks for large-scale image recognition
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:39.194753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ea7da11-24b8-41ff-8603-654785156cf4 · outbound
This paper cites an unresolved cited work.
Continual Low-Rank Scaled Dot-product Attention Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:44:40.298730Z
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 aa2b296a-426a-4a16-b7ac-524fce1674db · outbound
This paper cites Online action detection.
Continual Low-Rank Scaled Dot-product Attention Online action detection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.281898Z
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 3f8c1463-21a2-4cb9-a3c2-33e8f22e3d3d · outbound
This paper cites Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah.
Continual Low-Rank Scaled Dot-product Attention Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.261641Z
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 d644c828-e7e8-4883-a254-386ce7b32b06 · outbound
This paper cites Learning to discriminate information for online action detection: Analysis and application.
Continual Low-Rank Scaled Dot-product Attention Learning to discriminate information for online action detection: Analysis and application
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.232066Z
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 d484079c-0c8a-4fa6-9de2-1ecc11c7a361 · outbound
This paper cites Temporal segment networks for action recognition in videos.
Continual Low-Rank Scaled Dot-product Attention Temporal segment networks for action recognition in videos
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.206663Z
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 c2dd5313-df5e-4812-a86a-4496c3463baa · outbound
This paper cites Activitynet: A large-scale video benchmark for human activity understanding.
Continual Low-Rank Scaled Dot-product Attention Activitynet: A large-scale video benchmark for human activity understanding
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.178237Z
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 ddec96f0-c937-4bec-afda-fb7fde1d1809 · outbound
This paper cites Quo vadis, action recognition? A new model and the kinetics dataset.
Continual Low-Rank Scaled Dot-product Attention Quo vadis, action recognition? A new model and the kinetics dataset
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.156896Z
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 d1c5ca38-4526-459f-ad8e-fb9378444d07 · outbound
This paper cites ElectricityLoadDiagrams20112014.
Continual Low-Rank Scaled Dot-product Attention ElectricityLoadDiagrams20112014
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:44:39.594853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9c4f5a0-173a-4172-9f57-92be4b891bd2 · outbound
This paper cites Decoupled weight decay regular- ization.
Continual Low-Rank Scaled Dot-product Attention Decoupled weight decay regular- ization
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:44:40.124750Z
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.