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Paper Citation Record · LEDGER

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes

As of 16 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2605.29220.

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

pith.paper-citation-record.v1
2605.29220 v1

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measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:47:14.772460Z

measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

100 of 101 outbound references displayed

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Outbound references

Observation d37941df-c48e-4b10-a8c2-3675266554bd · outbound

This paper cites Multiscale fluorescence imaging of living samples,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Multiscale fluorescence imaging of living samples,

Reference 1

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Observation 53063cbf-83b1-4fb3-8340-f866d1faa2ee · outbound

This paper cites Live-cell imaging in the deep learning era,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Live-cell imaging in the deep learning era,

Reference 2

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Observation 20467c2b-06db-4284-8ced-cb9cf3b7a8fe · outbound

This paper cites Robust single-particle tracking in live-cell time-lapse sequences,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Robust single-particle tracking in live-cell time-lapse sequences,

Reference 3

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Observation b0c61ed0-222d-4c93-924f-01ea7a4edd86 · outbound

This paper cites Objective comparison of particle tracking methods,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Objective comparison of particle tracking methods,

Reference 4

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Observation f87ecf67-3e82-4456-90f5-d0ec3fbdb8c6 · outbound

This paper cites Featurepointtrackingandtrajectoryanalysisforvideoimagingincellbiology,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Featurepointtrackingandtrajectoryanalysisforvideoimagingincellbiology,

Reference 5

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Observation eb9d8ed6-b6a8-484f-9b76-25e23692a47c · outbound

This paper cites A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies,

Reference 6

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Observation ea9845b0-f4ad-4583-9517-c9ec986c9656 · outbound

This paper cites A review of progress in single particle tracking: from methods to biophysical insights,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes A review of progress in single particle tracking: from methods to biophysical insights,

Reference 7

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Observation 10745e6d-9b06-4fc6-af39-67a3a2a1fe74 · outbound

This paper cites Live cell imaging analysis of receptor function,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Live cell imaging analysis of receptor function,

Reference 8

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Observation d19570d2-dc20-4993-87a8-816ac6f79640 · outbound

This paper cites Intracellular transport dynamics revealed by single-particle tracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Intracellular transport dynamics revealed by single-particle tracking,

Reference 9

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Observation fa930dcf-f283-4057-86e5-01171e3eddcb · outbound

This paper cites Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations,

Reference 10

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Observation 55bd74e9-7496-4e59-a277-bc7a77c94786 · outbound

This paper cites Delta: Automated cell segmentation, tracking, and lineage reconstruction using deep learning,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Delta: Automated cell segmentation, tracking, and lineage reconstruction using deep learning,

Reference 11

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Observation 96c7756e-9f11-4572-847b-f3b06d4b6111 · outbound

This paper cites Long-term tracking of budding yeast cells in brightfield microscopy: Cellstar and the evaluation platform,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Long-term tracking of budding yeast cells in brightfield microscopy: Cellstar and the evaluation platform,

Reference 12

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Observation adf93903-de0c-455a-87f7-a2550c20f566 · outbound

This paper cites Cell population tracking and lineage construction with spatiotemporal context,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Cell population tracking and lineage construction with spatiotemporal context,

Reference 13

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Observation a5cb787c-6494-4af1-85e8-8b4dd99f40eb · outbound

This paper cites Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations,

Reference 14

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Observation b7feff73-e5d5-44b4-8007-89970e6973ab · outbound

This paper cites Deep neural networks to register and annotate cells in moving and deforming nervous systems,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Deep neural networks to register and annotate cells in moving and deforming nervous systems,

Reference 15

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Observation 819dab37-3f86-4130-95a9-26e223505061 · outbound

This paper cites Rethinking deep learning in bioimaging through a data centric lens,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Rethinking deep learning in bioimaging through a data centric lens,

Reference 16

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Observation d1f432b7-9947-4991-b2c7-c276c02a6541 · outbound

This paper cites Trackmate: Anopenandextensibleplatformforsingle-particletracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Trackmate: Anopenandextensibleplatformforsingle-particletracking,

Reference 17

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Observation 5b399c25-67d5-47ae-8357-0d70aa5c2b4c · outbound

This paper cites Trackmate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Trackmate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines,

Reference 18

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Observation 0199453c-5cdd-4d7d-a819-f8491570cabc · outbound

This paper cites u-track3d: Measuring, navigating, and validating dense particle trajectories in three dimensions,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes u-track3d: Measuring, navigating, and validating dense particle trajectories in three dimensions,

Reference 19

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Observation 32af4625-34c3-4537-8fbb-2cb937a5b42f · outbound

This paper cites Organoidtracker: Efficient cell tracking using machine learning and manual error correction,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Organoidtracker: Efficient cell tracking using machine learning and manual error correction,

Reference 20

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Observation 2d6d785e-56b9-4bf2-babe-2e0c3b292547 · outbound

This paper cites An objective comparison of cell-tracking algorithms,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes An objective comparison of cell-tracking algorithms,

Reference 21

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Observation 466d7c9c-5652-436b-9a6e-6be6470db5d4 · outbound

This paper cites Cellpose: a generalist algorithm for cellular segmentation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Cellpose: a generalist algorithm for cellular segmentation,

Reference 22

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Observation 43372aa5-32f3-451e-a652-1f7341bf0e9c · outbound

This paper cites Cell detection with star-convex polygons,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Cell detection with star-convex polygons,

Reference 23

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Observation 7b952e3d-2e79-407c-8e56-0abf417d9ba6 · outbound

This paper cites Sleap: A deep learning system for multi-animal pose tracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Sleap: A deep learning system for multi-animal pose tracking,

Reference 24

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Observation 9566825f-e1f4-4473-aace-6194b9561bac · outbound

This paper cites Using deeplabcut for 3d markerless pose estimation across species and behaviors,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Using deeplabcut for 3d markerless pose estimation across species and behaviors,

Reference 25

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Observation 29153f22-ba41-45f6-8152-c1fd7d67a18b · outbound

This paper cites TAPIR: Tracking any point with per-frame initialization and temporal refinement,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes TAPIR: Tracking any point with per-frame initialization and temporal refinement,

Reference 26

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Observation 851d8e4c-9124-4454-8faf-483e53e223ad · outbound

This paper cites Cotracker: Itisbettertotracktogether,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Cotracker: Itisbettertotracktogether,

Reference 27

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Observation 93021d42-b898-476e-a9d0-4459d0a1b526 · outbound

This paper cites Local all-pair correspondence for point tracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Local all-pair correspondence for point tracking,

Reference 28

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Observation bc6c0693-46e0-4dd2-a1a1-4367c2852f51 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Particle video revisited: Tracking through occlusions using point trajectories,

Reference 29

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Observation ff6c4db4-9663-48d4-acbe-52ca13bb3678 · outbound

This paper cites Cotracker3: Simpler and better point tracking by pseudo-labelling real videos,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Cotracker3: Simpler and better point tracking by pseudo-labelling real videos,

Reference 30

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Observation 5eaeb004-4bfd-46c7-b749-b271a7998f9a · outbound

This paper cites Deepprobabilistictrackingofparticlesinfluorescencemicroscopyimages,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Deepprobabilistictrackingofparticlesinfluorescencemicroscopyimages,

Reference 31

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Observation 637e5b75-2fd0-42a7-aad3-e5955f8f60e7 · outbound

This paper cites Robustmodel-basedanalysisofsingle-particletrackingexperiments with spot-on,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Robustmodel-basedanalysisofsingle-particletrackingexperiments with spot-on,

Reference 32

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Observation 0682cf3f-7157-4d14-a2a5-e81f6f1e7cd6 · outbound

This paper cites Thecelltrackingchallenge: 10yearsofobjectivebenchmarking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Thecelltrackingchallenge: 10yearsofobjectivebenchmarking,

Reference 33

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Observation 5d1af84c-b998-48c3-bfe9-a446d845c76f · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Pointodyssey: A large-scale synthetic dataset for long-term point tracking,

Reference 34

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Observation 9bb4522e-7043-46d4-b163-1154928a55bc · outbound

This paper cites Biological data annotation via a human-augmenting ai-based labeling system,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Biological data annotation via a human-augmenting ai-based labeling system,

Reference 35

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Observation 51db33d2-0618-4514-89d1-2d8e74258d93 · outbound

This paper cites A benchmark for comparison of cell tracking algorithms,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes A benchmark for comparison of cell tracking algorithms,

Reference 36

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Observation a83291dc-e092-4410-ad3d-bd09e0415168 · outbound

This paper cites Tracking cell lineages in 3d by incremental deep learning,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Tracking cell lineages in 3d by incremental deep learning,

Reference 37

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Observation 80593787-7304-4590-8dd5-6361d7eddc30 · outbound

This paper cites edetect: afasterrordetectionandcorrectiontoolforlivecellimagingdataanalysis,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes edetect: afasterrordetectionandcorrectiontoolforlivecellimagingdataanalysis,

Reference 38

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Observation 7bcac03f-e886-4f8f-890f-6b42e4a0f1c7 · outbound

This paper cites Tracurate: efficiently curating cell tracks,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Tracurate: efficiently curating cell tracks,

Reference 39

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Observation 83140e30-9e4e-4787-a9e7-4536c4a70235 · outbound

This paper cites Segmentation, tracking and cell cycle analysis of live-cell imaging data with cell-acdc,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Segmentation, tracking and cell cycle analysis of live-cell imaging data with cell-acdc,

Reference 40

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Observation 58839ec7-7afe-455f-a3c1-f6084f208cbf · outbound

This paper cites Laptrack: linear assignment particle tracking with tunable metrics,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Laptrack: linear assignment particle tracking with tunable metrics,

Reference 41

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Observation b0fcb4cb-8293-4eb6-a7d4-82e548d7b93b · outbound

This paper cites Automated cell tracking using stardist and trackmate,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Automated cell tracking using stardist and trackmate,

Reference 42

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Observation 35ef1543-218c-4f2a-b70f-c9cc24deaf3d · outbound

This paper cites A genetically tractable jellyfish model for systems and evolutionary neuroscience,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes A genetically tractable jellyfish model for systems and evolutionary neuroscience,

Reference 43

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Observation 07c559f6-ae11-4dba-93bb-1e4ba9c928c2 · outbound

This paper cites Whole-animal multiplexed single-cell rna-seq reveals transcriptional shifts across clytia medusa cell types,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Whole-animal multiplexed single-cell rna-seq reveals transcriptional shifts across clytia medusa cell types,

Reference 44

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Observation f89fe44c-a573-4b71-bbd6-2d877a78c0a9 · outbound

This paper cites Past, present and future of clytia hemisphaerica as a laboratory jellyfish,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Past, present and future of clytia hemisphaerica as a laboratory jellyfish,

Reference 45

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:98f9fed2820b6a8daa4e629127907522dfb3c2f036aac433407de8ba87ed5970

Observation f578ddc7-8e46-4c80-822f-f00b1447eaae · outbound

This paper cites Tap-vid: A benchmark for tracking any point in a video,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Tap-vid: A benchmark for tracking any point in a video,

Reference 46

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:ee30a4e5603c5ba9f6273483c64f2ff07be66f94130434e148966141f3093abd

Observation 5fd57f65-f60c-4333-aa28-94d7fb08fabe · outbound

This paper cites Quantitative phase imaging in biomedicine,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Quantitative phase imaging in biomedicine,

Reference 48

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Observation 397fa013-1000-4157-8315-91b523e29b4a · outbound

This paper cites Episodic rolling and transient attachments create diversity in sperm swimming behavior,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Episodic rolling and transient attachments create diversity in sperm swimming behavior,

Reference 49

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:49117a6375910b16191424d38865067ee4613b54cb4a1ae685bccc8cdebc7a4d

Observation 718b0260-c9ad-42dc-b6ef-12f63ead547c · outbound

This paper cites Bimodal rheotactic behavior reflects flagellar beat asymmetry in human sperm cells,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Bimodal rheotactic behavior reflects flagellar beat asymmetry in human sperm cells,

Reference 50

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:684e978923dc1827aedc4cdc7d8e19aeda3dffbbff21185bf625ac4f1728f275

Observation 6229fdf0-43c3-4ece-80cb-2a96fc00b2f7 · outbound

This paper cites Chirality and frequency measurement of longitudinal rolling of human sperm using optical trap,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Chirality and frequency measurement of longitudinal rolling of human sperm using optical trap,

Reference 51

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Observation 887063de-a7bc-4fa7-b2a3-eb0711478956 · outbound

This paper cites Imagej for microscopy,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Imagej for microscopy,

Reference 52

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:0b5fc21b73cba12db03597251df29fcd3362f9ab9cb0a3d31302061c6a0af291

Observation 0a715b0b-cb90-42e2-908e-237ffdd998e1 · outbound

This paper cites Clytia hemisphaerica: a jellyfish cousin joins the laboratory,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Clytia hemisphaerica: a jellyfish cousin joins the laboratory,

Reference 54

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Observation 26b79b9b-2f1d-4c05-be45-d343c1dcf17a · outbound

This paper cites High doses of crispr/cas9 ribonucleoprotein efficiently induce gene knockout with low mosaicism in the hydrozoan clytia hemisphaerica through microhomology-mediated deletion,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes High doses of crispr/cas9 ribonucleoprotein efficiently induce gene knockout with low mosaicism in the hydrozoan clytia hemisphaerica through microhomology-mediated deletion,

Reference 55

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Observation dcf10396-fdeb-4246-af3c-8573b99c628c · outbound

This paper cites The genome of the jellyfish clytia hemisphaerica and the evolution of the cnidarian life-cycle,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes The genome of the jellyfish clytia hemisphaerica and the evolution of the cnidarian life-cycle,

Reference 56

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Observation 1c34202b-77fe-438e-b5f3-1fc5f7d19c72 · outbound

This paper cites 3d slicer: a platform for subject-specific image analysis, visualization, and clinical support,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes 3d slicer: a platform for subject-specific image analysis, visualization, and clinical support,

Reference 57

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Observation 99112bc4-f72e-437e-b847-206c16a0b0ee · outbound

This paper cites Demo for Annotating a Point Track with Optical Flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Demo for Annotating a Point Track with Optical Flow,

Reference 58

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Observation 3117bc58-4517-4902-a70e-402e74f72f46 · outbound

This paper cites Fast optical flow using dense inverse search,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Fast optical flow using dense inverse search,

Reference 59

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Observation f1cf3549-2890-4d66-a0bb-f466b24c7aa1 · outbound

This paper cites Two-frame motion estimation based on polynomial expansion,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Two-frame motion estimation based on polynomial expansion,

Reference 60

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Observation 336cd816-a379-4e67-b531-ecb005ab55a7 · outbound

This paper cites A duality based approach for realtime tv-l 1 optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes A duality based approach for realtime tv-l 1 optical flow,

Reference 61

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Observation 513e4e35-c623-43d8-88d0-adb0f36d972f · outbound

This paper cites Robust local optical flow for feature tracking,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Robust local optical flow for feature tracking,

Reference 62

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Observation 459055e0-23c2-4b75-b029-2a0e8405af9b · outbound

This paper cites Deepflow: Large displacement optical flow with deep matching,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Deepflow: Large displacement optical flow with deep matching,

Reference 63

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Observation 84dc046d-7b6b-4733-846e-44c40ec43e91 · outbound

This paper cites Simpleflow: A non-iterative, sublinear optical flow algorithm,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Simpleflow: A non-iterative, sublinear optical flow algorithm,

Reference 64

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Observation c54c22fe-5319-41c3-b6be-1896033613b9 · outbound

This paper cites Efficient sparse-to-dense optical flow estimation using a learned basis and layers,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Efficient sparse-to-dense optical flow estimation using a learned basis and layers,

Reference 65

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Observation fc0c1018-8704-4bdf-9a59-c430ddc84e78 · outbound

This paper cites Bradski, A.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Bradski, A

Reference 66

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Observation 4a6e528d-deb9-4528-b3d0-5757a44166f9 · outbound

This paper cites Denseopticalflowbyiterativelocalwindowregistration,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Denseopticalflowbyiterativelocalwindowregistration,

Reference 67

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Observation bdcf3e76-0e53-41f4-bba7-9a0cf5fc735e · outbound

This paper cites Determining optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Determining optical flow,

Reference 68

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Observation 6f0d0e8a-be85-49e4-a556-c51a702bf48b · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes RAFT: Recurrent all-pairs field transforms for optical flow,

Reference 69

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Observation 73a4f125-612e-4583-bbed-79d0fed47929 · outbound

This paper cites Learning to estimate hidden motions with global motion aggregation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Learning to estimate hidden motions with global motion aggregation,

Reference 70

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Observation c614a8be-3e1d-4908-9754-6cb3bc2a5c02 · outbound

This paper cites Flowformer: Atransformerarchitectureforopticalflow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Flowformer: Atransformerarchitectureforopticalflow,

Reference 71

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Observation b77b4194-0ef2-4043-ac1d-543a65c9c7c8 · outbound

This paper cites Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation,

Reference 72

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Observation bea115fd-3336-407e-a6fe-140747f91177 · outbound

This paper cites Gmflow: Learningopticalflowviaglobalmatching,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Gmflow: Learningopticalflowviaglobalmatching,

Reference 73

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Observation 530850a0-00d6-42b7-8951-0e3b49f15ea7 · outbound

This paper cites Unifying flow, stereo and depth estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Unifying flow, stereo and depth estimation,

Reference 74

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Observation 27e2b5b4-5c00-4280-9446-3258c3e2fbb8 · outbound

This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Sea-raft: Simple, efficient, accurate raft for optical flow,

Reference 75

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Observation ee30e761-ee97-41b1-a12a-a880e6941c58 · outbound

This paper cites High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022).

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)

Reference 76

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:f935e0717dfcbc6693d5e2568e62e314cdf7d83feff852f35df4f1e3186e908b

Observation 6494a213-679c-4b6a-a50c-01437a42d3f7 · outbound

This paper cites Neuflow-v2: Push high-efficiency optical flow to the limit,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Neuflow-v2: Push high-efficiency optical flow to the limit,

Reference 77

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Observation 800e448d-fe2d-4508-9545-c2bc68cfa889 · outbound

This paper cites Ccmr: High resolution optical flow estimation via coarse-to-fine context-guided motion reasoning,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Ccmr: High resolution optical flow estimation via coarse-to-fine context-guided motion reasoning,

Reference 78

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Observation e0806ef1-684d-4d47-8b87-3c28119a9147 · outbound

This paper cites Craft: Cross-attentional flow transformer for robust optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Craft: Cross-attentional flow transformer for robust optical flow,

Reference 79

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Observation 612938a6-90ee-46b9-9c9a-e53ab5834334 · outbound

This paper cites Memflow: Optical flow estimation and prediction with memory,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Memflow: Optical flow estimation and prediction with memory,

Reference 80

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Observation fa904751-07b9-43a5-bb9a-749b7c10ffac · outbound

This paper cites Skflow: Learning optical flow with super kernels,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Skflow: Learning optical flow with super kernels,

Reference 81

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Observation 47e6886d-58a8-45de-9cab-f255ac5185f6 · outbound

This paper cites Recurrent partial kernel network for efficient optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Recurrent partial kernel network for efficient optical flow estimation,

Reference 82

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:a94db14431b0ea221f6fa834fdd2d5d0ea7971f4e0e8ad6141061ae98f4f94bd

Observation 01f092b0-5891-41b8-8113-58f11834d5c5 · outbound

This paper cites Rapidflow: Recurrent adaptable pyramids with iterative decoding for efficientopticalflowestimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Rapidflow: Recurrent adaptable pyramids with iterative decoding for efficientopticalflowestimation,

Reference 83

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Observation 02530987-aeca-4cff-bfe8-b9829e3cdbae · outbound

This paper cites Videoflow: Exploiting temporal cues for multi-frame optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Videoflow: Exploiting temporal cues for multi-frame optical flow estimation,

Reference 84

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:db9964ccc6d4f183c8d492b2a055c3b87c3ec4786709c121c07b63a08776e2ad

Observation 775738ef-f73e-41b1-9721-d47e60f632e8 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,

Reference 85

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:d75b2fc5122bea32f289d2a5cf6e69a035b4a50940bfe5c1108b16ae62ee2a66

Observation 251485cc-352c-4843-bce5-7d26518e783f · outbound

This paper cites Liteflownet: A lightweight convolutional neural network for optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Liteflownet: A lightweight convolutional neural network for optical flow estimation,

Reference 86

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:63bca1cee9310d2d4a4088802c24e0d48c22e50e7cf36daa0d65a9bd7ca979a4

Observation 9119a202-5ddf-4362-b332-4e2a72700fef · outbound

This paper cites Maskflownet: Asymmetric feature matching with learnable occlusion mask,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Maskflownet: Asymmetric feature matching with learnable occlusion mask,

Reference 87

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Observation 182bef80-56a2-4bac-99f3-a9b232e1a977 · outbound

This paper cites Flownet: Learningopticalflowwithconvolutionalnetworks,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Flownet: Learningopticalflowwithconvolutionalnetworks,

Reference 88

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Observation bdffa305-0132-47dc-bb86-51512e6edf13 · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Flownet 2.0: Evolution of optical flow estimation with deep networks,

Reference 89

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Observation 6f390c17-8557-45ef-9c9e-e392bbe91343 · outbound

This paper cites Iterative residual refinement for joint optical flow and occlusion estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Iterative residual refinement for joint optical flow and occlusion estimation,

Reference 90

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Observation 67d1b8c6-4778-4ed4-9f0b-4addbd08aa52 · outbound

This paper cites Separable flow: Learning motion cost volumes for optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Separable flow: Learning motion cost volumes for optical flow estimation,

Reference 91

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Observation f694655c-b887-401a-9e07-02cbf8ce0306 · outbound

This paper cites Starflow: A spatiotemporal recurrent cell for lightweight multi-frame optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Starflow: A spatiotemporal recurrent cell for lightweight multi-frame optical flow estimation,

Reference 92

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Observation 41d3bd40-68f2-45ee-9ad2-30ef19956f44 · outbound

This paper cites Dip: Deep inverse patchmatch for high-resolution optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Dip: Deep inverse patchmatch for high-resolution optical flow,

Reference 93

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Observation a97af647-2efc-4d82-a28e-f8c5ccfb6dfe · outbound

This paper cites Rethinkingopticalflowfromgeometricmatchingconsistentperspective,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Rethinkingopticalflowfromgeometricmatchingconsistentperspective,

Reference 94

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Observation 1330670d-99bc-47d7-94d4-168a542ed7bc · outbound

This paper cites Scopeflow: Dynamic scene scoping for optical flow,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Scopeflow: Dynamic scene scoping for optical flow,

Reference 95

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Observation b02e33e2-0d90-4b5e-a8d1-f09a6d05e06b · outbound

This paper cites Streamflow: streamlined multi-frame optical flow estimation for video sequences,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Streamflow: streamlined multi-frame optical flow estimation for video sequences,

Reference 96

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Observation 2750d226-a31d-420c-944f-729e85305ae6 · outbound

This paper cites Dpflow: Adaptiveopticalflowestimationwithadual-pyramidframework,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Dpflow: Adaptiveopticalflowestimationwithadual-pyramidframework,

Reference 97

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Observation 0c0d00ae-ae47-4e51-beb6-c39e8f536c4b · outbound

This paper cites High-resolution optical flow from 1d attention and correlation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes High-resolution optical flow from 1d attention and correlation,

Reference 98

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Observation 53e51729-160a-4afc-bb62-1fef92096658 · outbound

This paper cites Fastflownet: A lightweight network for fast optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Fastflownet: A lightweight network for fast optical flow estimation,

Reference 99

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source=pdf_text observed=2026-06-29T08:47:14.772460Z digest=sha256:dc52dfb56c4ca1462a629b9a45e37d5f8b9171a32189b9a779f2bfeebcccd3bc

Observation e15c814d-7708-46c0-ba4e-c5d8bbdc6570 · outbound

This paper cites Csflow: Learning optical flow via cross strip correlation for autonomous driving,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Csflow: Learning optical flow via cross strip correlation for autonomous driving,

Reference 100

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Observation ac5e2979-f611-4ae5-b887-34440c1d3389 · outbound

This paper cites Lla-flow: A lightweight local aggregation on cost volume for optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Lla-flow: A lightweight local aggregation on cost volume for optical flow estimation,

Reference 101

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Observation 5240b378-372b-4294-a97c-29f5d469ff66 · outbound

This paper cites Global matching with overlapping attention for optical flow estimation,.

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes Global matching with overlapping attention for optical flow estimation,

Reference 102

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Pith citing papers

No inbound Pith citation observations are available.