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Paper Citation Record · LEDGER

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing

As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.20082.

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

pith.paper-citation-record.v1
2412.20082 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

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measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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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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Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation 40a6266d-e8c6-4c13-aa3d-57f854916094 · outbound

This paper cites The euroc micro aerial vehicle datasets.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing The euroc micro aerial vehicle datasets

Reference 1

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Observation af25b31e-ef6c-4f60-9654-8a843db90759 · outbound

This paper cites PRISM: PRogressive dependency maxImization for Scale-invariant image Matching.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing PRISM: PRogressive dependency maxImization for Scale-invariant image Matching

Reference 2

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Observation 4c840a51-4bd1-4d68-a56c-b372c2e59a43 · outbound

This paper cites Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam

Reference 3

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Observation 1da53aa5-9c13-47d5-9ef4-030ef1b3b328 · outbound

This paper cites Locally opti- mized ransac.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Locally opti- mized ransac

Reference 4

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Observation 00c48565-b73e-48a3-9f20-6132558e9124 · outbound

This paper cites Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization

Reference 5

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Observation 0a69f175-0a75-41c8-8f45-7f2227e84cd8 · outbound

This paper cites Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem

Reference 6

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Observation 7d750b58-81b5-4b25-a0da-784ad9690a64 · outbound

This paper cites Learning to solve non- linear least squares for monocular stereo.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Learning to solve non- linear least squares for monocular stereo

Reference 7

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Observation 01725709-f02e-4a08-8247-6c03961c8af2 · outbound

This paper cites Deepfactors: Real-time probabilistic dense monocular slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deepfactors: Real-time probabilistic dense monocular slam

Reference 8

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Observation 41b37db8-6ef0-437e-bf3c-017006435ce5 · outbound

This paper cites Factor graphs and gtsam: A hands-on in- troduction.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Factor graphs and gtsam: A hands-on in- troduction

Reference 9

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Observation 48bba225-8264-43bf-a505-73c951e08aba · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Superpoint: Self-supervised interest point detection and description

Reference 10

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Observation 39d2bb02-ceee-4d1c-b944-2041d8da2a51 · outbound

This paper cites Lsd- slam: Large-scale direct monocular slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Lsd- slam: Large-scale direct monocular slam

Reference 11

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Observation 80a238bd-f51e-4d77-b273-0283cc7058cc · outbound

This paper cites Svo: Fast semi-direct monocular visual odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Svo: Fast semi-direct monocular visual odometry

Reference 12

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Observation 72bfbfa2-ea79-4b66-8aac-f88e55c750f1 · outbound

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MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Unresolved cited work

Reference 13

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Observation cd84d3c7-3042-40d1-a0e7-31ddc967d03a · outbound

This paper cites Ldso: Direct sparse odometry with loop closure.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Ldso: Direct sparse odometry with loop closure

Reference 14

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Observation 99b02084-529c-49b8-a047-aef5c6596f99 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 15

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Observation e1e23782-bc2d-4420-a43d-837b188c45b4 · outbound

This paper cites Openvins: A research platform for visual-inertial estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Openvins: A research platform for visual-inertial estimation

Reference 16

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Observation 42f7aad0-988b-403b-b0a0-f95e6eaa949b · outbound

This paper cites evo: Python package for the evalua- tion of odometry and slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing evo: Python package for the evalua- tion of odometry and slam

Reference 17

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Observation 9475dcd1-aff5-48ed-9384-446e06b7fbdb · outbound

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

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Observation 818a2245-b488-4df5-b4d1-44daeb4dd555 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

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Observation 481bf0de-5e3f-43e5-bfed-3f0b6134e61e · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing On the parameterization and initialization of diagonal state space models

Reference 20

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Observation f076f6f3-710e-4961-8ff2-8148b772923c · outbound

This paper cites From variance to veracity: Unbundling and mitigating gradient variance in differentiable bundle adjustment layers.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing From variance to veracity: Unbundling and mitigating gradient variance in differentiable bundle adjustment layers

Reference 21

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Observation 9996440f-31f9-4fff-ac96-65b91a6b31cb · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 22

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Observation a105357d-e5ec-4327-9f62-c522f5ce59ef · outbound

This paper cites Roco: Robust cooperative perception by iterative object matching and pose adjustment.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Roco: Robust cooperative perception by iterative object matching and pose adjustment

Reference 23

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Observation 351323a9-60c7-44e2-9287-7fd2bcb05eb3 · outbound

This paper cites Dense slam meets automatic differentiation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Dense slam meets automatic differentiation

Reference 24

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Observation 7886360c-07e8-4d94-9a6b-4f74ac0f9162 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Splatam: Splat track & map 3d gaussians for dense rgb-d slam

Reference 25

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Observation 3254d35e-f813-4d9e-9913-cb3f334daa9f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing 3d gaussian splatting for real-time radiance field rendering

Reference 26

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Observation 2d2731f4-71bb-4d72-89d4-3642e69f5f38 · outbound

This paper cites g 2 o: A general frame- work for graph optimization.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing g 2 o: A general frame- work for graph optimization

Reference 27

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Observation 8fabe396-7d06-4408-8a6d-ca6ace5ba2cf · outbound

This paper cites PoseLib - Minimal Solvers for Camera Pose Estimation, 2020.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing PoseLib - Minimal Solvers for Camera Pose Estimation, 2020

Reference 28

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Observation c574a8b3-4361-48b2-8816-b02ceddbf2c2 · outbound

This paper cites VideoMamba: State Space Model for Efficient Video Understanding.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing VideoMamba: State Space Model for Efficient Video Understanding

Reference 29

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Observation 9f5918cb-412a-4aa9-9aab-0bb86a2cc8dc · outbound

This paper cites Undeepvo: Monocular visual odometry through unsuper- vised deep learning.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Undeepvo: Monocular visual odometry through unsuper- vised deep learning

Reference 30

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Source-reported events for the cited work

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Observation aac840f8-c031-42e5-b718-fbf4e3f55535 · outbound

This paper cites Colslam: A versatile collaborative slam system for mobile phones using point-line features and map caching.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Colslam: A versatile collaborative slam system for mobile phones using point-line features and map caching

Reference 31

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Observation 1d8cdd19-c8f0-417b-b4b0-667553b627a2 · outbound

This paper cites CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model

Reference 32

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Observation 3bec85c2-584a-4327-9ac1-d70f30ac0d95 · outbound

This paper cites Scale invariant feature transform.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Scale invariant feature transform

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3c876322-803c-41b4-afc8-921bb656c562 · outbound

This paper cites Deep Patch Vi- sual SLAM.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep Patch Vi- sual SLAM

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.906637Z digest=sha256:498fc2a09568e5250fa931fa85cfb2af13a58ff630aac102c145391298b9981c

Observation 8b81598e-df95-4744-889b-f0d07469fcb4 · outbound

This paper cites DeepVO: A Deep Learning approach for Monocular Visual Odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DeepVO: A Deep Learning approach for Monocular Visual Odometry

Reference 35

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no resolver link, observed 2026-08-10T23:40:07.911396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.911396Z digest=sha256:19ceec04f17037bd89f54e221c01ce4b92c91aa53b6bec1b44463ab0eb8135f8

Observation 47e9d310-ac5d-4910-92fe-62bd8dc9ffec · outbound

This paper cites Learning correspondence uncer- tainty via differentiable nonlinear least squares.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Learning correspondence uncer- tainty via differentiable nonlinear least squares

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.740805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.916416Z digest=sha256:9ff6baf0c18c5c829e5b66fe40a2d0779e1d629faee03ff311064cc1d79d4222

Observation c225265a-dddc-4885-97f0-f1b2a6dd511e · outbound

This paper cites Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.725371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.920878Z digest=sha256:0fa0e4bf9281a91c2c7e11ab112ef688d9443f96b9bb66c5fc34530f569df4e3

Observation 52c065c9-c5f7-4811-bb08-9f89ad45d64f · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam: a versatile and accurate monocular slam system

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.925224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.925224Z digest=sha256:12a3ad8d68cd94a9e4f821e9cacfc0a9b4d1aacf197769790a4f221405b028f9

Observation 8cc8b588-be5b-4d61-8c2b-c3e05f09b9cf · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DINOv2: Learning Robust Visual Features without Supervision

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.929783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.929783Z digest=sha256:aec6ed6b2fa40d06c7805d7dfd916c65baec908c287250096d452413ec2a7864

Observation 64779219-9fdc-4255-bc73-efa73a8879ab · outbound

This paper cites Theseus: A Library for Differentiable Nonlinear Optimization.Advances in Neu- ral Information Processing Systems, 2022.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Theseus: A Library for Differentiable Nonlinear Optimization.Advances in Neu- ral Information Processing Systems, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.700245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.933906Z digest=sha256:ae008de1f823001caf5030664c69cb88d4f442e87e9577946470168740dad08f

Observation 5017344d-3168-4576-9f3a-d018a57a0db1 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vins-mono: A robust and versatile monocular visual-inertial state estimator

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.684871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.937957Z digest=sha256:b7aff11aa45e84ab687ccc975c612c560526fb94343838c93bc7fe6dd7aa26f6

Observation e0857229-da69-4562-87fa-30a2eb8bfb2c · outbound

This paper cites Deep fundamental matrix estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep fundamental matrix estimation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.668611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.942199Z digest=sha256:d2267b2f27d6accbc8e589c296b544fbd5016d3e454cbe11dd11c24f3aebf132

Observation 38807265-adaf-4ee5-a2f7-72846187c78e · outbound

This paper cites Orb: An efficient alternative to sift or surf.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb: An efficient alternative to sift or surf

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.946358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.946358Z digest=sha256:4135bc66eb664980ca2bca1a710fb3994a66fb6db210ba5d5a90ccb57ea8edd7

Observation 4a8679d0-9fe0-4bb9-80bc-96fd40e0b97b · outbound

This paper cites Structure-from-motion revisited.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Structure-from-motion revisited

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.644824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.950675Z digest=sha256:d0305ae777cff633002a8b85c1ce7f9787faab700bd607e7f5327fe69fec09c1

Observation e7da433b-db06-42c5-9b41-1330e445ecf8 · outbound

This paper cites Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.631280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.954742Z digest=sha256:ff6dc3eb422b193f311e6dc08f60819c5a6667f8ad85da6dddcabfe009a29daf

Observation 6ec150a4-6993-4558-9fef-b97d065399a4 · outbound

This paper cites Sturm, N.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Sturm, N

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.617976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.958833Z digest=sha256:5923364be3c6c7b9a6a3407e9d9e10a9c333c590a162038342d708b46dbd3f41

Observation bf7cfb1e-cc90-4246-9ffc-21bd87f65356 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing BA-Net: Dense Bundle Adjustment Network

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.963298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.963298Z digest=sha256:5dc11bbaf94873446d9da3625254a957ab5be798e7cd28cf32a525311be37301

Observation b2bc0ebd-6361-4d4b-a725-a2a852bda64a · outbound

This paper cites DeepV2D: Video to Depth with Differentiable Structure from Motion.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.968049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.968049Z digest=sha256:a28da6dd27ffc9e17d759953c10c024186ccf8588fc65e2cdbae01c9b8ee4a05

Observation e7b36f2e-08ab-4ff4-9c86-11abba63c3f9 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.603579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.972971Z digest=sha256:8661bd730f7c137e229dc5601a0deb50ceffc602c0d71f723635467ccc8564bb

Observation bc294ed3-7a5d-4dfe-8188-497bf5246fd4 · outbound

This paper cites Tangent space backpropa- gation for 3d transformation groups.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tangent space backpropa- gation for 3d transformation groups

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.589018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.977679Z digest=sha256:2bd52d3f201bdc5b29318306f397857a41b36f89c6b537452986c2bc653ce638

Observation 67c16057-45fa-49f1-b088-3d775efb0069 · outbound

This paper cites Deep patch vi- sual odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep patch vi- sual odometry

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.573878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.982057Z digest=sha256:ca81af4621eb7f5f9e0270c57be07f36f8178dd3f887cf412a99398f876308d0

Observation f5d1dacd-b90b-4653-b834-8adb5ca18c7c · outbound

This paper cites SfM-Net: Learning of Structure and Motion from Video.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing SfM-Net: Learning of Structure and Motion from Video

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:07.987157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:07.987157Z digest=sha256:abbae9ce135853c2a2e571c9c07340867ffe8a2f599353e4f566320fefa92878

Observation dc13619f-6f5b-44bc-a92e-acb86c173072 · outbound

This paper cites Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.559178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.991874Z digest=sha256:92eb6a1cb148121443ca5bab65e9bcb8d7e449db133faec09d1bbcdc6d60a169

Observation 871b89c3-fc60-493e-abd0-1b668ebc3443 · outbound

This paper cites Communication efficient, distributed relative state estimation in uav networks.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Communication efficient, distributed relative state estimation in uav networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.544393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:07.996384Z digest=sha256:c31adf9774b594f89a0ef3f12d5e88aef803af225ec3a73ae9fbdd1b96fe4858

Observation a368e02b-9443-413a-b4c4-51d9a476eb7e · outbound

This paper cites Distributed relative localization algorithms for multi- robot networks: A survey.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Distributed relative localization algorithms for multi- robot networks: A survey

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.529913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.001032Z digest=sha256:1e531c728f5273ca350f341f9b5c2ff9b18186b289a6ac11531a5a7acf53fedb

Observation cfb590b8-52ec-407c-9aa6-527da3db1021 · outbound

This paper cites Gslamot: A tracklet and query graph-based simultaneous locating, map- ping, and multiple object tracking system.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Gslamot: A tracklet and query graph-based simultaneous locating, map- ping, and multiple object tracking system

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.514328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.005515Z digest=sha256:4f8ca34eca70ab509e957e9def5ec21b22b998858f71edd876ff06d7944ddd38

Observation ad743b47-a1fa-46cf-8963-00af68489a4a · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tartanair: A dataset to push the limits of visual slam

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.499237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.010068Z digest=sha256:a88d28ba80c0b400d37322cb0fefe21ee44cf0afbbeb6706b39291cf3ea9e1d7

Observation 23db8daa-6766-4306-8352-8adf02a375dd · outbound

This paper cites Tartanvo: A generalizable learning-based vo.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tartanvo: A generalizable learning-based vo

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.483032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.014656Z digest=sha256:798eca14ee27291572482a92d8b1679a067d1e84ceadaff3d04fe78a34aa2841

Observation 93da1ebe-a4ef-4f45-a85f-1248b36fa8ab · outbound

This paper cites Efficient loftr: Semi-dense local feature matching with sparse-like speed.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Efficient loftr: Semi-dense local feature matching with sparse-like speed

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.466694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.019126Z digest=sha256:af870193ce82e475c957d956255b31ff3e0f21649397e8a844544e8c7fbd6c7a

Observation 8cc01eb4-fb20-4495-a1a9-0c13fafaba9f · outbound

This paper cites Pop-up slam: Semantic monocular plane slam for low-texture environments.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Pop-up slam: Semantic monocular plane slam for low-texture environments

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.451477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.124789Z digest=sha256:ac3a38293bd63e5c0d5077c5a9b12b0b82bdd150459eb18fb88c1a495840e806

Observation b92d601f-505d-4be6-92cb-d50c65763759 · outbound

This paper cites D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:08.129640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:08.129640Z digest=sha256:b2cc0f88cf621f24229c0b5d799c0e04dc9d5592200ad43ba5e94fb77a33b5c9

Observation da9b2ada-9302-4765-9c90-a5511cf8cbec · outbound

This paper cites Go-slam: Global optimization for consistent 3d in- stant reconstruction.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Go-slam: Global optimization for consistent 3d in- stant reconstruction

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.436633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.134779Z digest=sha256:8a40de2682e5e141aa226daeb411d4fea723b1d2946ae92bc4dc49ebe9d439d0

Observation 8e052e11-068b-4db6-9c3e-907339cccc92 · outbound

This paper cites Determining the epipolar geometry and its uncertainty: A review.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Determining the epipolar geometry and its uncertainty: A review

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.422287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.140273Z digest=sha256:ebc7762d298ee61c9d12887a26285f24967da9c8c136f4191b012a5d99f78ff8

Observation 44c563d8-3092-4eca-944b-8df1c4fdad8d · outbound

This paper cites Revisiting the pnp problem: A fast, general and optimal solution.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Revisiting the pnp problem: A fast, general and optimal solution

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:40:08.407776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:40:08.144971Z digest=sha256:c2981b9732aab517249ff437631c32e3868749d13ee723446b72e09cdecc1b47

Observation 6f1f300d-e924-4c7b-a211-e49742a8092b · outbound

This paper cites Unsupervised learning of depth and ego-motion from video.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Unsupervised learning of depth and ego-motion from video

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:08.149516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:08.149516Z digest=sha256:31a4bcbd4d069499fbcc237b40313db824101cef01d74fca23f8aa6db968cd1c

Observation 90b5fe3d-b7e9-486b-855e-6284af166410 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:08.154265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:40:08.154265Z digest=sha256:fe4c5f4700ca0cbb249b7e852bf3c6cabbbe270bedf706983bf315959cb6a951

Pith citing papers

No inbound Pith citation observations are available.