Paper Citation Record · LEDGER

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models

As of 23 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 2 inbound Pith citation observations for arXiv:2504.15776.

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

pith.paper-citation-record.v1
2504.15776 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:22:24.682103Z

measured 88 of 88 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:11:24.423975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.925923Z

Reference resolution

86 of 86 outbound references displayed

verified exact1
verified fuzzy75
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90de897c-9483-4892-aff2-32087824b20f · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Scalability in perception for autonomous driving: Waymo open dataset,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.295840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9351a19-8ef5-4b4f-bf21-0202f2ce9f7f · outbound

This paper cites KITTI-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models KITTI-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.300970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4195a634-2918-480e-bc50-ea23b2b30985 · outbound

This paper cites Pandaset: Advanced sensor suite dataset for autonomous driving,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Pandaset: Advanced sensor suite dataset for autonomous driving,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.305730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa70fe3-b932-4e32-ae25-38c34309a5f2 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models nuscenes: A multimodal dataset for autonomous driving,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.310370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e123ef63-1215-45fc-8d58-c647847bd766 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.315646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4e0fca-0c54-406d-a4e9-e4723ed356c7 · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.321158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e541c1-07a0-40e4-8d05-3b12836e8ef8 · outbound

This paper cites Barf: Bundle- adjusting neural radiance fields,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Barf: Bundle- adjusting neural radiance fields,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.326430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188cf4f3-84ff-479f-9656-43f4444b86b5 · outbound

This paper cites INF: Implicit Neural Fusion for LiDAR and Camera,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models INF: Implicit Neural Fusion for LiDAR and Camera,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.833296Z

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.

Observation ea346cd8-baf4-4445-b913-974eeae639f6 · outbound

This paper cites MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.819916Z

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.

Observation 6345ba9d-092d-456c-9843-1e30488c374d · outbound

This paper cites Soac: Spatio-temporal overlap-aware multi-sensor calibration using neural radiance fields,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Soac: Spatio-temporal overlap-aware multi-sensor calibration using neural radiance fields,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.806299Z

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.

Observation d7fb3423-43b1-4368-8e5a-76d76a5d04b8 · outbound

This paper cites Unical: Unified neural sensor calibration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Unical: Unified neural sensor calibration,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.792428Z

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.

Observation b159cc4b-999f-4b99-9915-8206cedf4978 · outbound

This paper cites Structure-from-Motion Revisited,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Structure-from-Motion Revisited,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.778714Z

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.

Observation bc37f227-8895-482d-b192-0fce0a877fd5 · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Distinctive image features from scale-invariant keypoints,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.764061Z

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.

Observation 59ab4ea0-80c9-43ef-b6f1-54af08e5ce77 · outbound

This paper cites Visual odometry,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Visual odometry,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.750428Z

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.

Observation 6ebcc03e-08d4-48e6-a35c-24874d90fbdd · outbound

This paper cites When to use what feature? sift, surf, orb, or a-kaze features for monocular visual odometry,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models When to use what feature? sift, surf, orb, or a-kaze features for monocular visual odometry,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.736073Z

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.

Observation 4a38f5b2-6c29-4d5d-a307-cf3a4fdc6bf8 · outbound

This paper cites Simultaneous localization and map- ping: part i,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Simultaneous localization and map- ping: part i,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.722216Z

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.

Observation af63a1b0-4176-44d9-911d-e69abe269b28 · outbound

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

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Orb-slam: a versatile and accurate monocular slam system,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.708768Z

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.

Observation ae1d8257-b837-4b28-b01f-1d0676f8c333 · outbound

This paper cites Least-squares fitting of two 3-d point sets,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Least-squares fitting of two 3-d point sets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.694183Z

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.

Observation 32511dc4-c46c-4cbc-a05c-41f835b607c6 · outbound

This paper cites Kiss-icp: In defense of point-to-point icp–simple, accu- rate, and robust registration if done the right way,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Kiss-icp: In defense of point-to-point icp–simple, accu- rate, and robust registration if done the right way,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.680652Z

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.

Observation e166fd51-8df9-4c1c-9c3c-df969673de6f · outbound

This paper cites Loam: Lidar odometry and mapping in real- time,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Loam: Lidar odometry and mapping in real- time,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.665495Z

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.

Observation 80d0e731-25f6-4ec3-acc7-dd153569f19a · outbound

This paper cites Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.650750Z

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.

Observation c0ea6e6b-1285-4598-a51c-f9eca4df00d5 · outbound

This paper cites F-loam: Fast lidar odometry and mapping,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models F-loam: Fast lidar odometry and mapping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.635438Z

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.

Observation 6731e9cc-9ccb-493a-b8d7-11fc56b87c44 · outbound

This paper cites Visual-lidar odometry and mapping: Low-drift, robust, and fast,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Visual-lidar odometry and mapping: Low-drift, robust, and fast,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.619961Z

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.

Observation c41b5417-4c2e-4c17-b4e2-e2b4a963a8fe · outbound

This paper cites Limo: Lidar-monocular visual odometry,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Limo: Lidar-monocular visual odometry,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.606064Z

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.

Observation 991d5076-09ce-4afc-ab81-b33f1e122e4a · outbound

This paper cites Camvox: A low-cost and accurate lidar-assisted visual slam system,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Camvox: A low-cost and accurate lidar-assisted visual slam system,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.592062Z

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.

Observation 0e0f57ce-0819-4acf-b860-6cef3c5b8a0d · outbound

This paper cites Efficient and accurate tightly-coupled visual-lidar slam,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Efficient and accurate tightly-coupled visual-lidar slam,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.578401Z

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.

Observation 0f0dd9ab-2d53-4dd7-9914-2f7d2e29b6d4 · outbound

This paper cites Lidar-monocular visual odometry using point and line features,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Lidar-monocular visual odometry using point and line features,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.564136Z

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.

Observation f83eee75-4644-4692-b228-4ce36dea25da · outbound

This paper cites Dvl-slam: Sparse depth enhanced direct visual-lidar slam,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Dvl-slam: Sparse depth enhanced direct visual-lidar slam,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.422269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef25af7-4492-4257-82d4-70f9523a5f2a · outbound

This paper cites Sdv-loam: semi-direct visual–lidar odometry and mapping,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Sdv-loam: semi-direct visual–lidar odometry and mapping,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.540363Z

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.

Observation cdda0586-8a20-4cf9-9982-3c4b62a61e14 · outbound

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

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Deepvo: Towards end-to- end visual odometry with deep recurrent convolutional neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.526695Z

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.

Observation 1f38f1c4-d0fd-4fda-9440-b2dddd221911 · outbound

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

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Superpoint: Self- supervised interest point detection and description,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.434950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753cccf1-91fe-4880-9f55-6dc7acdbb2c2 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Superglue: Learning feature matching with graph neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.503656Z

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.

Observation 34aff189-35bf-4926-a4ba-aae2b59bc9cd · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Vggsfm: Visual geometry grounded deep structure from motion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.489713Z

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.

Observation 91ca082b-1cda-4e49-8cc5-cb180bac834e · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Dust3r: Geometric 3d vision made easy,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.476273Z

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.

Observation 080656f9-b1bb-42bd-b895-aaaff45eaf18 · outbound

This paper cites Grounding image matching in 3d with mast3r,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Grounding image matching in 3d with mast3r,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.463158Z

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.

Observation befaa62f-f82d-4457-a716-bcdeab53431a · outbound

This paper cites Efficient 3d deep lidar odometry,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Efficient 3d deep lidar odometry,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.449452Z

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.

Observation d457e6e9-835e-4341-98d0-6d1c2c4af31e · outbound

This paper cites Deepvcp: An end-to-end deep neural network for point cloud registration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Deepvcp: An end-to-end deep neural network for point cloud registration,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.435986Z

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.

Observation 5bb285af-6148-4c3f-97f7-1528e19b8fae · outbound

This paper cites Lvio-fusion: A self-adaptive multi-sensor fusion slam framework using actor-critic method,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Lvio-fusion: A self-adaptive multi-sensor fusion slam framework using actor-critic method,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.422526Z

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.

Observation 1ed64c6c-830a-4dcc-b9a8-5ea89e2856bf · outbound

This paper cites Self-supervised visual- lidar odometry with flip consistency,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Self-supervised visual- lidar odometry with flip consistency,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.409110Z

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.

Observation fe3ae65e-e929-4383-91eb-f511a84d69c0 · outbound

This paper cites Self-calibrating neural radiance fields,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Self-calibrating neural radiance fields,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.395444Z

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.

Observation 21c119ba-06ed-48f8-b757-abb03f38dbfc · outbound

This paper cites Nope- nerf: Optimising neural radiance field with no pose prior,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nope- nerf: Optimising neural radiance field with no pose prior,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.381785Z

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.

Observation 611291d6-a9b1-4828-a4c4-3ccdf6386adb · outbound

This paper cites Up-nerf: Unconstrained pose prior- free neural radiance field,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Up-nerf: Unconstrained pose prior- free neural radiance field,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.368479Z

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.

Observation 2f9d1289-2877-4663-bec0-95e07afee62d · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Emerging properties in self-supervised vision transformers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.354914Z

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.

Observation 8c1a71b6-d878-48c9-bf92-28c209a15281 · outbound

This paper cites iMAP: Implicit Mapping and Positioning in Real-Time,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models iMAP: Implicit Mapping and Positioning in Real-Time,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.341347Z

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.

Observation 49dfba9b-e9e6-4a3f-8c95-03e23d690479 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nice-slam: Neural implicit scalable encoding for slam,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.327569Z

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.

Observation 9e45ffc1-3bb4-4244-adb8-c69133184b5b · outbound

This paper cites Orbeez-slam: A real-time monocular visual slam with orb features and nerf-realized mapping,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Orbeez-slam: A real-time monocular visual slam with orb features and nerf-realized mapping,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.313818Z

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.

Observation 2f4b6e57-6a90-429f-87e1-3bd5c025feb5 · outbound

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

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.299169Z

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.

Observation 473444ef-65f1-495d-8f7c-757ded789357 · outbound

This paper cites Nerf-slam: Real-time dense monocular slam with neural radiance fields,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nerf-slam: Real-time dense monocular slam with neural radiance fields,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.285618Z

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.

Observation 705b223c-6aa7-4083-945e-a050970a7ed9 · outbound

This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Plgslam: Progressive neural scene represenation with local to global bundle adjustment,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.271438Z

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.

Observation a7c0551e-a3a6-4b0a-ad88-4dff5506ff32 · outbound

This paper cites Shine-mapping: Large- scale 3d mapping using sparse hierarchical implicit neural representa- tions,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Shine-mapping: Large- scale 3d mapping using sparse hierarchical implicit neural representa- tions,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.256798Z

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.

Observation a3b3c921-8f40-4ed2-8ef6-8e90824d5fba · outbound

This paper cites Nerf-loam: Neural implicit representation for large-scale incremental lidar odometry and mapping,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nerf-loam: Neural implicit representation for large-scale incremental lidar odometry and mapping,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.242822Z

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.

Observation d95f8b1e-5b50-4a40-ba6d-7f6c91472930 · outbound

This paper cites Loner: Lidar only neural representations for real-time slam,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Loner: Lidar only neural representations for real-time slam,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.228927Z

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.

Observation 198ecf87-6386-4ec1-9c0f-5de3b29f0812 · outbound

This paper cites Pin-slam: Lidar slam using a point-based implicit neural repre- sentation for achieving global map consistency,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Pin-slam: Lidar slam using a point-based implicit neural repre- sentation for achieving global map consistency,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.215263Z

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.

Observation b2604e80-8871-41df-9007-f1fcff5c48d8 · outbound

This paper cites Multi- modal neural radiance field for monocular dense slam with a light-weight tof sensor,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Multi- modal neural radiance field for monocular dense slam with a light-weight tof sensor,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.200942Z

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.

Observation 00be8dbf-f8db-43cc-a4d1-be7757d20465 · outbound

This paper cites Rapid-mapping: Lidar- visual implicit neural representations for real-time dense mapping,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Rapid-mapping: Lidar- visual implicit neural representations for real-time dense mapping,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.186115Z

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.

Observation 63ff217c-173f-4191-b495-24b81b00de96 · outbound

This paper cites A flexible new technique for camera calibration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models A flexible new technique for camera calibration,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.172324Z

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.

Observation 7bafae89-18ee-4212-b420-41f5386b28b7 · outbound

This paper cites Extrinsic calibration of a camera and laser range finder (improves camera calibration),.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Extrinsic calibration of a camera and laser range finder (improves camera calibration),

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.158298Z

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.

Observation 6b7b4f32-4d5d-40e5-b9b7-7667e50bbe4e · outbound

This paper cites Automatic camera and range sensor calibration using a single shot,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Automatic camera and range sensor calibration using a single shot,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.144282Z

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.

Observation aaf68ecf-076b-4021-b1e6-a7f7f06ef88d · outbound

This paper cites Automatic extrinsic calibration for lidar-stereo vehicle sensor setups,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Automatic extrinsic calibration for lidar-stereo vehicle sensor setups,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.130089Z

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.

Observation 075a297a-cdae-49a8-8faf-3fe9b213e102 · outbound

This paper cites Accurate calibration of LiDAR-camera systems using ordinary boxes,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Accurate calibration of LiDAR-camera systems using ordinary boxes,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.114862Z

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.

Observation 2c3b3bd5-39b1-4969-9d35-fcd15ee4c5a9 · outbound

This paper cites Cross-calibration of push- broom 2d lidars and cameras in natural scenes,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Cross-calibration of push- broom 2d lidars and cameras in natural scenes,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.101059Z

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.

Observation 572232a7-636b-4951-aa97-91b2ce23838b · outbound

This paper cites Pixel-level extrinsic self cal- ibration of high resolution lidar and camera in targetless environments,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Pixel-level extrinsic self cal- ibration of high resolution lidar and camera in targetless environments,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.086553Z

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.

Observation bdb83de3-f9b1-4737-afd9-c23cf7cb7cb8 · outbound

This paper cites Spatio-temporal laser to visual/inertial calibration with applications to hand-held, large scale scanning,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Spatio-temporal laser to visual/inertial calibration with applications to hand-held, large scale scanning,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.072428Z

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.

Observation b472b791-e137-4050-807b-5c03995608da · outbound

This paper cites Spa- tiotemporal camera-LiDAR calibration: A targetless and structureless approach,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Spa- tiotemporal camera-LiDAR calibration: A targetless and structureless approach,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.058628Z

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.

Observation 25bfbfd6-7b88-4dee-b6c8-67b88021f68b · outbound

This paper cites Keypoint-based LiDAR-camera online calibration with robust geometric network,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Keypoint-based LiDAR-camera online calibration with robust geometric network,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.044535Z

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.

Observation 15cc5805-418e-4190-bf0d-77a3f16b1afc · outbound

This paper cites Automatic target- less extrinsic calibration of a 3d lidar and camera by maximizing mutual information,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Automatic target- less extrinsic calibration of a 3d lidar and camera by maximizing mutual information,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.029945Z

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.

Observation 0f1b30a6-5dfc-4fb0-99f1-433ccc5d0dbd · outbound

This paper cites Automatic registration of mobile LiDAR and spherical panoramas,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Automatic registration of mobile LiDAR and spherical panoramas,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.015889Z

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.

Observation 66cfa7aa-006c-4fe1-95d8-6dfe5ebec310 · outbound

This paper cites RegNet: Multimodal sensor registration using deep neural networks,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models RegNet: Multimodal sensor registration using deep neural networks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:25.001842Z

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.

Observation e537c55a-bb99-423b-b341-0ea79d8fb017 · outbound

This paper cites CalibNet: Geo- metrically supervised extrinsic calibration using 3d spatial transformer networks,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models CalibNet: Geo- metrically supervised extrinsic calibration using 3d spatial transformer networks,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.987949Z

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.

Observation 9c7ddd6c-579c-4b4c-bbd6-3d4afb3473e8 · outbound

This paper cites LCCNet: LiDAR and camera self-calibration using cost volume network,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models LCCNet: LiDAR and camera self-calibration using cost volume network,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.974062Z

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.

Observation 6942513d-6a53-4e84-9c0e-7f08b326883e · outbound

This paper cites DXQ-Net: differ- entiable lidar-camera extrinsic calibration using quality-aware flow,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models DXQ-Net: differ- entiable lidar-camera extrinsic calibration using quality-aware flow,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.959131Z

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.

Observation ceffb998-1d5f-4539-a302-51d18d7b446d · outbound

This paper cites Batch Differentiable Pose Refinement for In-The-wild Camera/LiDAR Extrinsic Calibration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Batch Differentiable Pose Refinement for In-The-wild Camera/LiDAR Extrinsic Calibration,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.944979Z

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.

Observation 64b87bc9-c5db-48ca-baba-07d8eea33874 · outbound

This paper cites 3dgs-calib: 3d gaussian splatting for multimodal spatiotemporal calibration,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models 3dgs-calib: 3d gaussian splatting for multimodal spatiotemporal calibration,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.930034Z

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.

Observation 6953d7ff-a3fe-45ec-9b24-be909c9278f6 · outbound

This paper cites ViiNeuS: Volumetric Initialization for Implicit Neural Surface reconstruction of urban scenes with limited image overlap.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models ViiNeuS: Volumetric Initialization for Implicit Neural Surface reconstruction of urban scenes with limited image overlap

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:22:24.724860Z

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.

Observation 60da01a8-2bd4-4392-b2d6-5474729670a0 · outbound

This paper cites Oasim: an open and adaptive simulator based on neural rendering for autonomous driving,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Oasim: an open and adaptive simulator based on neural rendering for autonomous driving,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.915314Z

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.

Observation 476bb57f-668b-4688-b976-be9f38989031 · outbound

This paper cites Evaluating the performance of map optimiza- tion algorithms,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Evaluating the performance of map optimiza- tion algorithms,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.901097Z

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.

Observation 11703a14-8e6d-4469-a6b0-2897bcb66308 · outbound

This paper cites g2o: A general framework for graph optimization,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models g2o: A general framework for graph optimization,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.886885Z

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.

Observation d98393be-c5a9-43ab-ab4e-0564544d63c5 · outbound

This paper cites The drunkard’s odometry: estimating camera motion in deforming scenes,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models The drunkard’s odometry: estimating camera motion in deforming scenes,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.872853Z

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.

Observation 0c64ceed-f267-438c-bfca-cdfd70148220 · outbound

This paper cites Nerf in the wild: Neural radiance fields for unconstrained photo collections,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nerf in the wild: Neural radiance fields for unconstrained photo collections,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.858200Z

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.

Observation 8a8bacd2-a65a-46e5-83f2-dcc3e92998ca · outbound

This paper cites Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.842698Z

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.

Observation 9fc2b357-783c-41e4-9caa-bce58cf8b570 · outbound

This paper cites On the limits of pseudo ground truth in visual camera re-localisation,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models On the limits of pseudo ground truth in visual camera re-localisation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.826890Z

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.

Observation 1dd04ee2-07a4-46c6-a0e8-07885b31b130 · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Nerfstudio: A modular framework for neural radiance field development,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.812216Z

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.

Observation f1f8b7c1-32ea-4d2c-a668-58af30b0d4ab · outbound

This paper cites Animating rotation with quaternion curves,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Animating rotation with quaternion curves,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.797775Z

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.

Observation c969ab1b-f7b2-4255-8380-c0b75d9ae2c5 · outbound

This paper cites Continuous pose for monocular cameras in neural implicit representation,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Continuous pose for monocular cameras in neural implicit representation,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.782858Z

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.

Observation 5e31158b-13d5-4b67-9bd3-c455308a03ef · outbound

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

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models 3d gaussian splatting for real-time radiance field rendering,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:22:24.766206Z

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.

Observation a7cfb5a8-ffb2-4e9a-8cc6-07054ff72a0e · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models Vision meets robotics: The kitti dataset,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:24.682103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5f2f32d7-e769-4a53-8f13-cac35260a846 · inbound

SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes cites this paper.

SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:43:11.255917Z

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.

Observation 4cefee3b-1dd9-4d38-a860-b2022fb14336 · inbound

DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction cites this paper.

DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.927359Z

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.