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Paper Citation Record · LEDGER

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.01757.

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

pith.paper-citation-record.v1
2607.01757 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T16:28:29.939667Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact4
  • verified fuzzy39
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8c624d7-c98c-49a6-85dd-f7aab9f8f725 · outbound

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

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Orb: An efficient alternative to sift or surf

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4b9e31bd-d4e6-4928-b735-4d089979ccf4 · outbound

This paper cites Brisk: Binary robust invariant scalable keypoints,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Brisk: Binary robust invariant scalable keypoints,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.954531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b953a24f-0b86-473b-9c51-988a8f8207a5 · outbound

This paper cites Comparative study of deep learning based features in slam,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Comparative study of deep learning based features in slam,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.956839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f8d25e2d-8d26-4880-9269-4c4725e9986b · outbound

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

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Superpoint: Self- supervised interest point detection and description

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.961823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:e67c752cab0eaad5a359a4e64bceecb59a3b8bd27b5568463bffde59ab36668f

Observation 05a0f6b8-9b3d-4f4f-ab95-1d8640798e34 · outbound

This paper cites SuperGlue: Learning Feature Matching with Graph Neural Networks.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:38.217187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:84431cab62a9a7b365454925c1d6be3649c70606a81c6e9b285a85bc33a2ca9d

Observation af1273cf-0453-4386-9bf2-69f5265e2d68 · outbound

This paper cites Closed- loop benchmarking of stereo visual-inertial slam systems: Understanding the impact of drift and latency on tracking accuracy,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Closed- loop benchmarking of stereo visual-inertial slam systems: Understanding the impact of drift and latency on tracking accuracy,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.943046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:f0489e09da9c197a20d8882f95337529ff55639e532dd7bdac8aac4e02d8ddc6

Observation 15398eaf-f08b-4fdb-8c48-e2a1af409e5c · outbound

This paper cites Bags of binary words for fast place recognition in image sequences,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Bags of binary words for fast place recognition in image sequences,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.973991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:251fce45c6aea5392951a160f95da2ecb4c042bb8a1771e0330acd1b444e92f6

Observation 3b0b9d4d-5414-4eb9-b5a3-102f28e6f68b · outbound

This paper cites Anyloc: Towards universal visual place recognition,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Anyloc: Towards universal visual place recognition,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.992235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:3f6754fc658b9ba18efbb64ea37880a31db3cac3c1915d2103b97784bd55b04a

Observation 06283606-62e6-4091-b0c7-358a79eeb460 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.926077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:015d4bcf5118f2bad4d2395ed1be0a9b7d3c73fd31fe7786406b2c85e5212209

Observation bbef67a1-8130-4570-b240-740e3a1c6a4a · outbound

This paper cites Okvis2-x: Open keyframe-based visual-inertial slam configurable with dense depth or lidar, and gnss,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Okvis2-x: Open keyframe-based visual-inertial slam configurable with dense depth or lidar, and gnss,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.936191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:581b7a7fe5ebb1ded5e3b22afa31034c29845033226e26f7dc23652f2737067b

Observation 729e08a2-bf53-40b8-b8a4-ba13fd1f983a · outbound

This paper cites A general optimisation-based framework for global pose estimation with multiple sensors,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM A general optimisation-based framework for global pose estimation with multiple sensors,

Reference 11

Resolution
verified exact
doi, observed 2026-07-03T16:28:38.132607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:fe12d292806e2b97130ffc2f03e1b6aa6c98fa3415c72ecf9137aaa27ce7209e

Observation a0a96d32-7390-4c2d-b7c4-6e1d3840a89b · outbound

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

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Openvins: A research platform for visual-inertial estimation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.949346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:d44af2ffabbc77c2c44146b6effa8f7a80771b0394ede7953ac9ca5d5e78aac6

Observation 0f162bbe-a9d9-4907-8ee3-3cff3d109a45 · outbound

This paper cites Kimera: an open- source library for real-time metric-semantic localization and mapping,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Kimera: an open- source library for real-time metric-semantic localization and mapping,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.911594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:5693bfc3958264f6f386bb23fd149b865d5067ec3a40ebdfe388a38fc1d800b3

Observation 439e111d-e475-42bf-aec9-2d62cb64747a · outbound

This paper cites Airslam: An efficient and illumination-robust point-line visual slam system,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Airslam: An efficient and illumination-robust point-line visual slam system,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.916221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:38c83029d0bd2bbea44d77e18c0a50c51d5f831c29ef5c4e02c1edfc8e5cd8b0

Observation cdb7189d-cfc4-4ff8-8fda-fad525f11d13 · outbound

This paper cites Gcnv2: Efficient correspondence prediction for real-time slam.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Gcnv2: Efficient correspondence prediction for real-time slam

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.887677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:48a3b44d1c2ecb2c8c4dc2f79c8ef97a003791538b77499fd31655eae27985f9

Observation 4c3b2c0a-e77b-4c61-822a-d37bef6ab700 · outbound

This paper cites Dxslam: A robust and efficient visual slam system with deep features,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Dxslam: A robust and efficient visual slam system with deep features,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.947423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:a4b34048ba7cdb02817f7dd341fa0e0ada2b0b63462fd07afe97c1b4312fc4d8

Observation bcf132ad-415c-4ecf-bac3-b6b8ec1890ba · outbound

This paper cites Hfnet-slam: An accurate and real-time monocular slam system with deep features,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Hfnet-slam: An accurate and real-time monocular slam system with deep features,

Reference 17

Resolution
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raw_fallback, observed 2026-07-05T05:30:43.908471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:8ef1cd68d81e27a17f8c1ca5a0253867849863e31fa75370b10096422b6e226c

Observation 94cade8f-d869-49b3-ba29-e2bd32b40279 · outbound

This paper cites Available: https://www.mdpi.com/1424-8220/23/4/2113.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Available: https://www.mdpi.com/1424-8220/23/4/2113

Reference 18

Resolution
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raw_fallback, observed 2026-07-05T05:30:43.918223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:dd95c8ad8625c5d8e90d9cd609c56e12af122cffdef6fcd020fcc241b32b26d6

Observation 36e871d2-b56a-40db-a128-db2e7db54cf8 · outbound

This paper cites Supslam: A robust visual inertial slam system using superpoint for unmanned aerial vehicles,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Supslam: A robust visual inertial slam system using superpoint for unmanned aerial vehicles,

Reference 19

Resolution
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raw_fallback, observed 2026-07-05T05:30:43.920307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:36d73cdc4f91a1b15618fe56438e3a919dca87132d11bc8e247b2be620713038

Observation daf273d6-2921-4ca0-a63a-89322fa8ae70 · outbound

This paper cites D-vins: Dynamic adaptive visual–inertial slam with imu prior and semantic constraints in dynamic scenes,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM D-vins: Dynamic adaptive visual–inertial slam with imu prior and semantic constraints in dynamic scenes,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.913794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:0993473a121ec66d9e776b5a9dc81366bc1951b6c7da41d07bbcec81e7fc2c52

Observation e0e3dae3-1a37-4e64-b5c8-d65aac711763 · outbound

This paper cites Supervins: A real- time visual-inertial slam framework for challenging imaging conditions,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Supervins: A real- time visual-inertial slam framework for challenging imaging conditions,

Reference 21

Resolution
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raw_fallback, observed 2026-07-05T05:30:43.923585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:117ac39e635d95205d00a94ab61b93d6d4e3da7703d93028543fb6a3185494da

Observation cb80bbe6-3072-4e9d-afe9-92cfd4de12fb · outbound

This paper cites LoFTR: Detector-free local feature matching with transformers,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM LoFTR: Detector-free local feature matching with transformers,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.928247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:c82da1f6fd8d2c0bdb8528ec9692fb84f8cd80798ae7da6a2b6a2c552951bcd8

Observation b1031093-3526-49ed-a577-8566a0adfc91 · outbound

This paper cites V2VNet: Vehicle-to-vehicle communication for joint perception and prediction.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM V2VNet: Vehicle-to-vehicle communication for joint perception and prediction

Reference 23

Resolution
metadata mismatch
doi, observed 2026-07-03T16:28:38.137891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:915dc5f04d62af3354b610f8198c904f83fb5f1f7758e01c16efd1d2bb5801c8

Observation 339e1576-afa6-4927-a05c-2d425d554daa · outbound

This paper cites Tightly-coupled visual- inertial odometry with robust feature association in dynamic illumination environments,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Tightly-coupled visual- inertial odometry with robust feature association in dynamic illumination environments,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.977058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:2a30980ab488687d59c843f813d5748dae7a56f852ee5e8e2b0198bafe0c9377

Observation 4b0d4628-2e1d-4cbd-a962-2f7d5377fbe5 · outbound

This paper cites DROID-SLAM: Deep visual SLAM for monoc- ular, stereo, and RGB-D cameras,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM DROID-SLAM: Deep visual SLAM for monoc- ular, stereo, and RGB-D cameras,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.979273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:1a5bd84a75797fde8f709ad85d733ca8e71c3e4d8156b5fb757b126d1eb74bbe

Observation 69c79508-3961-4653-847c-182237bc34ab · outbound

This paper cites MANIKIN: Biomechanically accurate neural inverse kinematics for human motion estimation.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM MANIKIN: Biomechanically accurate neural inverse kinematics for human motion estimation

Reference 26

Resolution
metadata mismatch
doi, observed 2026-07-03T16:28:38.135229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:c5f3a58900395d8623e84cd09f84a7cb6d092b2a07f4e46fad2a2315c2ec1beb

Observation 68943901-3a39-4ada-8800-7307fa28fcf0 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 27

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raw_fallback, observed 2026-07-05T05:30:43.981380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:ab62bffa2cafa0296f08430a7664d14bc4f5c97974186e4da0db2f9ac773c42d

Observation cc740e38-a3a0-493e-a229-3e123fdf23c2 · outbound

This paper cites Mixvpr: Feature mixing for visual place recognition,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Mixvpr: Feature mixing for visual place recognition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.972673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:f18e79af1742f4044a530b952d9b3daf4375b0c19b1639c41ee7c179356342e4

Observation ceb4480a-20a5-49f5-868c-26cf1ddb2e35 · outbound

This paper cites Eigenplaces: Training viewpoint robust models for visual place recognition,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Eigenplaces: Training viewpoint robust models for visual place recognition,

Reference 29

Resolution
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raw_fallback, observed 2026-07-05T05:30:43.970538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:739b92a21d6f8f5da790f18d96e7848d18288678efa2316c41800fea0e77be49

Observation c7c81e36-6861-4d59-a8f3-9211d2a6eb0c · outbound

This paper cites Rethinking visual geo- localization for large-scale applications.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Rethinking visual geo- localization for large-scale applications

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.969239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:183dc6aa24c4bbe7ae57f0f54136e14ef4cbf969380ae5bd1f0296403a3a0d0d

Observation 2e3e03d9-0356-4ff6-a4fb-e584e49a2473 · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM DINOv2: Learning robust visual features without supervision,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.945085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:d367ee76f6c0b7edc931e8554ef99cea8222ceebbcc9dfd5a05063f9762d6aa2

Observation 63c4aba1-da0e-4e73-a950-8f8e0ad7233f · outbound

This paper cites VINS-Mono: A robust and versatile monoc- ular visual-inertial state estimator,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM VINS-Mono: A robust and versatile monoc- ular visual-inertial state estimator,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.966475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:3c82691866a31b5db8c568a7eb871094ee7e72f20ab1baaf30a7202328502370

Observation 23bc11cd-fa20-43fd-a0fd-664967d4e227 · outbound

This paper cites Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.968449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:09bdd5b096b781aa1a5a30043d7c2f81271b168ba76380dafbf76dc5eb714e45

Observation 1ab7a0a6-0deb-4c39-83a2-24cbec33565e · outbound

This paper cites RaCo: Ranking and Covariance for Practical Learned Keypoints ,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM RaCo: Ranking and Covariance for Practical Learned Keypoints ,

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:38.139466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:49b2ec8a65d00ac3083c10dba59924412263aa6efedaf0e19b7d56b3358ce93d

Observation eaa54ce1-9aad-4a50-b927-77508a7ff12d · outbound

This paper cites Xfeat: Accelerated features for lightweight image matching.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Xfeat: Accelerated features for lightweight image matching

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.974678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:9c7bf4b5a85d9946d05ba2c0b0d87807764bd3b762367aa8fa4bf20cb3fc6d10

Observation 0169ec0f-3b17-4d47-9d50-d23b8635b24e · outbound

This paper cites MAC-VO: Metrics-aware covariance for learning-based stereo visual odometry,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM MAC-VO: Metrics-aware covariance for learning-based stereo visual odometry,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.983451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:baf7b94c313f6449be30581b0b641c69d124b56b27f063a8cc6c014c8c45532f

Observation 478d4db8-45d5-467a-a5bc-095d9d1627b8 · outbound

This paper cites Lightglue: Local feature matching at light speed.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Lightglue: Local feature matching at light speed

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.957286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:8f5b21b6aaf290399e7855c9421c74795d367397fa5a5840497a49b256d412a7

Observation 7f058c63-d078-43a6-ace0-f34f3c6be360 · outbound

This paper cites MAGSAC++, a fast, reliable and accurate robust estimator,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM MAGSAC++, a fast, reliable and accurate robust estimator,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.959209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:a0182c3005174442427f1f96c496d2ad35d27da7e4608f8f806a79f293e017b4

Observation c79283cc-edf6-467a-a262-47585d1e927a · outbound

This paper cites Billion-scale similarity search with GPUs.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Billion-scale similarity search with GPUs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.962196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:388d49c9293b998903a925b0d6924c24da45bc5c109cff1a83ba7d87a4c382eb

Observation 6ad1872e-6d2e-4bfd-87a6-b614bdddae18 · outbound

This paper cites The euroc micro aerial vehicle datasets,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM The euroc micro aerial vehicle datasets,

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-07-05T05:30:43.964396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:717e6f6b428f4217ffd38ed681a4285d2b2cb76a7f195a7d0e7c4c39f1d0f82f

Observation 8d24f571-4a26-43b2-b9ec-496d2a4bd923 · outbound

This paper cites Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint

Reference 41

Resolution
verified exact
doi, observed 2026-07-03T16:28:38.140240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:401a3f0359702b109ada2a6402f7de13b2b5e17e6bf6c47a17cedc676506c3b7

Observation 612c97a8-7c04-4085-9c8b-0391c5c60ded · outbound

This paper cites Botanicgarden: A high-quality dataset for robot navigation in unstructured natural environments,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Botanicgarden: A high-quality dataset for robot navigation in unstructured natural environments,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.985746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:74e2adb2021c6e82db5d2e095ad44d54f4e377bd3cfba5e310a6daa2caed6ebd

Observation 8d5d74b8-67c2-43fb-899a-237c00ae4cc2 · outbound

This paper cites Subt-mrs dataset: Pushing slam towards all-weather environments,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Subt-mrs dataset: Pushing slam towards all-weather environments,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.987870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:1416cbc13800c2514bdfe9c0820c4a16e5cce07be084c7d9a5c225b6c66380e9

Observation 01585787-fa2e-48ad-99d5-0fb139fd5c05 · outbound

This paper cites Good features to track,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Good features to track,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.990031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:3681661e9dff76e29e555c03ff9c33214917ad52f318dcf9f816b80ba95a690c

Observation ac9130b7-eb98-412e-b1b1-e29708ef02b2 · outbound

This paper cites An iterative image registration technique with an application to stereo vision.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM An iterative image registration technique with an application to stereo vision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.930899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:d7d6693fda644c2832c2f35e3d66c569cf7fff2176e459ac26a5dda6b8bd716f

Observation 4c60c714-1e32-4ae6-adc1-e964d3cdfaeb · outbound

This paper cites In: Annals of Operations Research.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM In: Annals of Operations Research

Reference 46

Resolution
malformed identifier
doi_truncated, observed 2026-07-03T16:28:38.131679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:b14464f0fd62930dd99410aabf744dceaceae06b25575755ed6a89c6f194b1c6

Observation 8ccf8c8b-ecd0-484d-ac27-6e09c0534731 · outbound

This paper cites Breaking of brightness consistency in optical flow with a lightweight cnn network,.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM Breaking of brightness consistency in optical flow with a lightweight cnn network,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T05:30:43.933186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T16:28:29.939667Z digest=sha256:9f219de6ff2586ed1032aeed91091c3dd21276250fb2b5114dbccb8c7561632a

Pith citing papers

No inbound Pith citation observations are available.