Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:00.501033Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2412.12423.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:00.501033Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f8fdb0eb-559a-4f4c-9ea8-b9b0a37a8011 · outbound
GG-SSMs: Graph-Generating State Space Models Unresolved cited work
Reference 1
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GG-SSMs: Graph-Generating State Space Models A 2- dimensional state space layer for spatial inductive bias
Reference 2
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Observation d582ac99-aeae-4c62-bf5e-76baf0c23b36 · outbound
GG-SSMs: Graph-Generating State Space Models Retina : Low-power eye tracking with event camera and spiking hardware
Reference 3
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GG-SSMs: Graph-Generating State Space Models A 240 × 180 130 db 3 µs latency global shutter spatiotemporal vision sensor
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Observation 9918315b-237e-4848-8381-b932ffde0331 · outbound
GG-SSMs: Graph-Generating State Space Models Butler, Jonas Wulff, Garrett B
Reference 5
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GG-SSMs: Graph-Generating State Space Models A minimum spanning tree algorithm with inverse-ackermann type complexity
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GG-SSMs: Graph-Generating State Space Models 3et: Efficient event-based eye tracking using a change-based convlstm network
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GG-SSMs: Graph-Generating State Space Models Randaugment: Practical automated data augmentation with a reduced search space
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GG-SSMs: Graph-Generating State Space Models Long-term Forecasting with TiDE: Time-series Dense Encoder
Reference 9
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GG-SSMs: Graph-Generating State Space Models Li, and Li Fei-Fei
Reference 10
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GG-SSMs: Graph-Generating State Space Models Memflow: Optical flow esti- mation and prediction with memory
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Observation b2998587-2747-49fd-834a-8d77132df38a · outbound
GG-SSMs: Graph-Generating State Space Models Rethinking op- tical flow from geometric matching consistent perspective
Reference 12
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Observation ee5a9f89-8f89-4c34-89cc-9ae3510eea54 · outbound
GG-SSMs: Graph-Generating State Space Models Flownet: Learn- ing optical flow with convolutional networks
Reference 13
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Observation ba0d7dcb-7412-4d6f-993e-cb22d0d32c65 · outbound
GG-SSMs: Graph-Generating State Space Models K¨ubler, and Andrea Mazzei
Reference 14
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GG-SSMs: Graph-Generating State Space Models Unresolved cited work
Reference 15
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GG-SSMs: Graph-Generating State Space Models Fu, Tri Dao, Khaled K
Reference 16
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Observation 7c7d09d7-33a6-4572-8dbd-e09f39ffbcc4 · outbound
GG-SSMs: Graph-Generating State Space Models Orchard, Chiara Bar- tolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, An- drew J
Reference 17
Source-reported events for the cited work
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Observation 85a8caf1-f36f-4531-b95c-0fb7d070c0a3 · outbound
GG-SSMs: Graph-Generating State Space Models Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 18
Source-reported events for the cited work
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Observation c55fdcab-bb57-4fc2-9471-5be11039a321 · outbound
GG-SSMs: Graph-Generating State Space Models Mamba: Linear-time sequence mod- eling with selective state spaces
Reference 19
Source-reported events for the cited work
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Observation 8f520e63-2ebd-44f4-9d8c-e2ebf0c38770 · outbound
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Reference 20
Source-reported events for the cited work
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GG-SSMs: Graph-Generating State Space Models Efficiently mod- eling long sequences with structured state spaces
Reference 21
Source-reported events for the cited work
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Observation 14de0d7d-6cc3-44ab-8ee3-38b6cdee213f · outbound
GG-SSMs: Graph-Generating State Space Models Deep residual learning for image recognition
Reference 22
Source-reported events for the cited work
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Observation 092531cd-4a12-4d49-b255-1a466dd182b2 · outbound
GG-SSMs: Graph-Generating State Space Models Zigma: A dit-style zigzag mamba diffusion model
Reference 23
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Observation 6465e043-c21c-408f-b85b-a0845805f04a · outbound
GG-SSMs: Graph-Generating State Space Models LocalMamba: Visual State Space Model with Windowed Selective Scan
Reference 24
Source-reported events for the cited work
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Observation 1e1f09ac-7f1b-497e-88e2-81a4de9f599d · outbound
GG-SSMs: Graph-Generating State Space Models Unresolved cited work
Reference 25
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Reference 26
Source-reported events for the cited work
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Observation e951adef-8674-4193-9e89-3df52d733b6b · outbound
GG-SSMs: Graph-Generating State Space Models Kipf and Max Welling
Reference 27
Source-reported events for the cited work
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Observation 2f86f256-0914-49f7-92ba-f4cc425ef75b · outbound
GG-SSMs: Graph-Generating State Space Models Revisiting long- term time series forecasting: An investigation on linear map- ping
Reference 28
Source-reported events for the cited work
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Observation a5caccdb-498a-46ad-b374-9db073bedb3d · outbound
GG-SSMs: Graph-Generating State Space Models itransformer: In- verted transformers are effective for time series forecasting
Reference 29
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Observation c2090925-6778-40b2-9d62-7d9ba4455329 · outbound
GG-SSMs: Graph-Generating State Space Models Vmamba: Visual state space model
Reference 30
Source-reported events for the cited work
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Reference 31
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GG-SSMs: Graph-Generating State Space Models A convnet for the 2020s
Reference 32
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Observation 78b0e36a-6946-4fbf-8042-afdcc9232696 · outbound
GG-SSMs: Graph-Generating State Space Models Decoupled weight decay regularization
Reference 33
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Observation 7b5d4269-c61b-4bcc-af17-929e073ec00d · outbound
GG-SSMs: Graph-Generating State Space Models Chen, Huaijin Chen, and Dongfang Liu
Reference 34
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GG-SSMs: Graph-Generating State Space Models A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Reference 35
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GG-SSMs: Graph-Generating State Space Models Downs, Preey Shah, Tri Dao, Stephen A
Reference 36
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Observation 081749ea-23d4-46b9-8d91-d91faf0a4688 · outbound
GG-SSMs: Graph-Generating State Space Models Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam
Reference 37
Source-reported events for the cited work
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Observation 5b4dd3b9-308b-49a7-b628-11a8065a1ee5 · outbound
GG-SSMs: Graph-Generating State Space Models Ssm meets video diffusion models: Efficient long-term video generation with structured state spaces,
Reference 38
Source-reported events for the cited work
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Observation 4fed30bf-8a35-48c7-be7c-9cb94dc2dde7 · outbound
GG-SSMs: Graph-Generating State Space Models Deep-learning-based pupil center detection and tracking technology for visible-light wearable gaze tracking devices
Reference 39
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GG-SSMs: Graph-Generating State Space Models Sudderth, and Jan Kautz
Reference 40
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Observation bd1a2bb5-aeb8-4c51-98bb-2d9ddc897fa1 · outbound
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Reference 41
Source-reported events for the cited work
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Observation 6e7a0c5a-d7e7-4269-9589-84c4c00804f4 · outbound
GG-SSMs: Graph-Generating State Space Models See, Hongwei Qin, Jifeng Dai, and Hongsheng Li
Reference 43
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Reference 44
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Observation bb584a76-d6af-4dfd-a3d7-3f7569e8e11a · outbound
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Reference 46
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GG-SSMs: Graph-Generating State Space Models Jamba-1.5: Hybrid Transformer-Mamba Models at Scale
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Source-reported events for the cited work
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Observation 4eb849e5-7519-4b88-8f4a-ab571c1d7fe4 · outbound
GG-SSMs: Graph-Generating State Space Models Raft: Recurrent all-pairs field transforms for optical flow
Reference 48
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Observation 67ed223f-9ab1-4cb3-88cf-8124f02f5224 · outbound
GG-SSMs: Graph-Generating State Space Models Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments
Reference 49
Source-reported events for the cited work
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Observation fa9ae1b4-6628-4511-b68e-3b01ba196530 · outbound
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Reference 50
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Observation 849b19cf-1d6e-4c60-b956-eb8590d926d2 · outbound
GG-SSMs: Graph-Generating State Space Models Attention is all you need
Reference 51
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Observation e1b4f17c-c77b-4484-a2dd-97cd14af2165 · outbound
GG-SSMs: Graph-Generating State Space Models Is Mamba Effective for Time Series Forecasting?
Reference 52
Source-reported events for the cited work
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GG-SSMs: Graph-Generating State Space Models Timesnet: Temporal 2d- variation modeling for general time series analysis
Reference 53
Source-reported events for the cited work
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Observation 71b111f1-186f-4f25-971d-b6b6326d064c · outbound
GG-SSMs: Graph-Generating State Space Models GrootVL: Tree Topology is All You Need in State Space Model
Reference 54
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Observation 850ec9be-52d8-432a-8ce4-0abc7b3f80f3 · outbound
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Reference 55
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Observation 2e565b43-c237-410c-b7a9-195b6e7a96f5 · outbound
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Reference 56
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Reference 57
Source-reported events for the cited work
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Reference 59
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Observation a86968ed-cb5c-4665-b7c4-920d0c475cab · outbound
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Reference 60
Source-reported events for the cited work
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GG-SSMs: Graph-Generating State Space Models HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Reference 61
Source-reported events for the cited work
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Observation 556e7fe9-32f5-46ff-8517-f45fda867639 · outbound
GG-SSMs: Graph-Generating State Space Models Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting
Reference 62
Source-reported events for the cited work
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Observation 0293c1c5-a8b5-4ef5-a8ee-d5855502dc05 · outbound
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Reference 63
Source-reported events for the cited work
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Observation 246e9cd0-e47f-499e-bd96-f18cead81966 · outbound
GG-SSMs: Graph-Generating State Space Models Unresolved cited work
Reference 64
Source-reported events for the cited work
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Observation e01a7b96-74f2-4410-a59e-f7e6bda54862 · outbound
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Reference 65
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Observation 617bccda-2f3f-4197-ab3e-a041b7743193 · outbound
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Reference 66
Source-reported events for the cited work
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Observation 5ec50ff1-74a5-4a4a-a15b-37bb27589411 · outbound
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Reference 67
Source-reported events for the cited work
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Observation ba967ad1-9c56-421a-b754-f8be74bad47a · outbound
GG-SSMs: Graph-Generating State Space Models State space models for event cameras
Reference 68
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Observation 34baa129-8012-43e5-8218-fac9e93469fe · outbound
GG-SSMs: Graph-Generating State Space Models Limits of deep learning: Sequence modeling through the lens of complexity theory, 2024
Reference 69
Source-reported events for the cited work
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No inbound Pith citation observations are available.