Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:40:36.014183Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 3 inbound Pith citation observations for arXiv:2510.14260.
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 2026-08-04T09:40:36.014183Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:33:08.474747Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T21:37:42.135393Z
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 67a4c916-4177-4058-9816-4679bf874df7 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Dust3r: Geometric 3d vision made easy,
Reference 1
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Observation 54a0b017-9fde-4a22-97af-b8da26b35425 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,
Reference 2
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Observation 52662b4f-c92a-4b93-8c38-c96d7dddb3e7 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Reference 3
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Observation fe5e07d8-8b2a-4def-bdd7-3447b5746e74 · outbound
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Observation cb0a4d88-58a2-443e-9c3c-cdc8feac790c · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Unifying flow, stereo and depth estimation,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Grounding image matching in 3d with mast3r,
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Observation f8241793-8d6b-46a0-9dd6-71547ba87b0e · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching LoFTR: Detector- free local feature matching with transformers,
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Observation 749cf58f-fd34-4059-9cdf-9f85348685a4 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Show, attend and tell: neural image caption generation with visual attention,
Reference 9
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Observation 1306cb49-1a86-46db-b2b8-d16a86ebb2d6 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Effective approaches to attention-based neural machine translation,
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Observation 60b3d4b5-0e93-4e54-aec8-d2f57c0a94ea · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Deformable detr: Deformable transformers for end-to-end object detection
Reference 11
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Observation a853df2c-b45d-4134-93de-a6f182284258 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching High-resolution stereo datasets with subpixel-accurate ground truth,
Reference 12
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Observation 1ce0025a-ffb4-419f-837b-b17e6159ddc3 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A multi-view stereo benchmark with high-resolution images and multi-camera videos,
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Observation 849095fa-16c8-4c10-bce9-4cf1280d4c9f · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,
Reference 14
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Observation 6843e72f-c5ce-4213-94b3-e3df4afb7f68 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Raft-stereo: Multilevel recurrent field transforms for stereo matching,
Reference 15
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Observation 0fe657ab-731a-4aac-843e-acc19bfe7722 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Foundationstereo: Zero-shot stereo matching,
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Observation c19d99c9-9eaf-467a-85d2-402a7f3e3c1e · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Are we ready for autonomous driving? the kitti vision benchmark suite,
Reference 17
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Observation e9bacfec-be15-4b63-aa99-68fd05cf494d · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Joint 3d estimation of vehicles and scene flow,
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Observation 4e7a1568-8c95-4f0e-b60b-5cb7dfb5e274 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo,
Reference 19
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Observation 867aa1fa-9a64-4df8-b289-2fe60bbf8e3b · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neural machine translation by jointly learning to align and translate,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Bridging the divide: Reconsidering softmax and linear attention,
Reference 21
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Observation f4f11dcd-cb79-4085-b299-1c076b0ac164 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Longformer: The Long-Document Transformer
Reference 22
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Observation a53e000f-f48d-4535-b0f8-bcbbe1d495df · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Big bird: Transformers for longer sequences,
Reference 23
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Observation 98028e8f-c1cc-4cfe-9d56-263da827de04 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers
Reference 24
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Observation aee178d3-922a-449c-a8ac-4b5f60763fbf · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neighborhood attention transformer,
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Observation 4c234ab7-1ce2-4bd1-afbf-988e6a20e5ad · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
Reference 26
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Observation c2fb64a3-a7d9-4b2d-be1c-e58dbe12076b · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 27
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Observation 19f8f959-188b-4ad6-ba2a-fa8338dbd9e0 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Bevformer: Learning bird’s-eye-view representation from multi- camera images via spatiotemporal transformers,
Reference 28
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Observation a7458e7e-b7bc-406a-93df-74837f8b19df · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Attention is all you need,
Reference 29
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Observation be4dc118-3b19-4e68-abc8-b50e725e7501 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Swin transformer v2: Scaling up capacity and resolution,
Reference 30
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Observation d1a0213c-c5c9-47c3-8959-5babe67b1dfa · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Transnext: Robust foveal visual perception for vision transformers,
Reference 31
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Roformer: Enhanced transformer with rotary position embedding,
Reference 32
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Observation 444841c6-47f9-4c3c-ac02-e039883e0738 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching The Llama 3 Herd of Models
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Observation cdcb59c6-a9f8-46d1-b86b-bea7126bf1d3 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow,
Reference 34
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Observation 63662dc2-ab9b-458d-b3ea-8c37baa4796a · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Cameras as relative positional encoding,
Reference 35
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Observation 4e9fe67e-f640-478e-8a4d-bee70211a94e · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers,
Reference 36
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Observation 1890fc88-b605-430d-8807-797cfe5c6bb2 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching End-to-end learning of geometry and context for deep stereo regression,
Reference 37
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Pyramid stereo matching network,
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Observation e3031e90-ecc3-42b2-9d6b-e16ffec809c6 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Correlate-and-excite: Real-time stereo matching via guided cost volume excitation,
Reference 39
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Observation eeaa00fb-88ec-4b50-9156-640a0c247258 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Raft: Recurrent all-pairs field transforms for optical flow,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Continuous 3D Label Stereo Matching using Local Expansion Moves,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Hierarchical belief propagation on image segmentation pyramid,
Reference 42
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Iterative geometry encod- ing volume for stereo matching,
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Observation 3c74f329-d6cd-4dff-aea4-8bf57a67c268 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Selective-stereo: Adaptive frequency information selection for stereo matching,
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Observation e13cd049-fa6d-442c-afa6-bd3a5d88bde9 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching All-in-one: Transferring vision foundation models into stereo matching,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching DINOv2: Learning robust visual features without supervision,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Segment anything,
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Observation 1cc61e5f-8fb7-4e41-937c-70f3532f48b5 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Depth anything v2,
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Observation 7e4a033d-a719-4aa9-9916-0df6e8d49afc · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Vision transformers for dense prediction,
Reference 49
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Observation 2b05ae6f-d880-41ba-838f-7e897a163b5d · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching An image is worth 16x16 words: Transformers for image recognition at scale,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Gaussian Error Linear Units (GELUs)
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Adaptive multi-modal cross-entropy loss for stereo matching,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A naturalistic open source movie for optical flow evaluation,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Skflow: Learning optical flow with super kernels,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Flowformer: A transformer architecture for optical flow,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Dip: Deep inverse patchmatch for high-resolution optical flow,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Craft: Cross-attentional flow transformer for robust optical flow,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Cfnet: Cascade and fused cost volume for robust stereo matching,
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MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Itsa: An information-theoretic approach to automatic shortcut avoidance and domain generalization in stereo matching networks,
Reference 84
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Observation e952136f-66bc-4eaf-9283-eb696bc0e654 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Domain generalized stereo matching via hierarchical visual transformation,
Reference 85
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Observation 40b46bee-933b-4c69-8ee2-dfc12e0465c8 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neural markov random field for stereo matching,
Reference 86
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Observation 9106eb06-9b19-4fc8-a495-0c04d8e329c7 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Mocha-stereo: Motif channel attention network for stereo matching,
Reference 87
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Observation 15cc8d8f-cd6c-4449-a2f5-fd11c262f571 · outbound
MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Stereo any- where: Robust zero-shot deep stereo matching even where either stereo or mono fail,
Reference 88
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Observation a7907830-f8f0-4504-94d9-c6630f92c8c3 · inbound
WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching
Reference 61
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Observation f0baab99-b3ed-4141-b9af-950c5c844421 · inbound
URS-Stereo: Uncertainty-Guided Residual Search for Real-Time Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching
Reference 26
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Observation b1fc8025-0a5a-4043-9841-53ba141788c7 · inbound
WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching
Reference 36
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