Paper Citation Record · LEDGER

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.09160.

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

pith.paper-citation-record.v1
2501.09160 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:51.422406Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy30
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a5f8e4c-5db3-4430-9d57-bc9834561b4a · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Orb-slam3: An accurate open- source library for visual, visual–inertial, and multimap slam

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.267700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cb12ed89-c75b-4494-ad9a-dffbe6a29ef7 · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Vins-mono: A robust and versatile monocular visual-inertial state es- timator

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.249811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbc471d0-24c2-43ce-9c85-e5a883e2f877 · outbound

This paper cites Deep patch visual odometry.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deep patch visual odometry

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.227258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff65d69f-6d66-45c9-b4f2-9fa9363e4a36 · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:51.260536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b4c235-ba82-43ae-8c3a-ba44da890b6d · outbound

This paper cites Deep patch visual slam.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deep patch visual slam

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.210428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3f547db-3de3-43e4-9a1f-d13c25b6298c · outbound

This paper cites Im- proved SLAM closed-loop detection algorithm based on DBoW2.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Im- proved SLAM closed-loop detection algorithm based on DBoW2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.195648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bff4ab2b-2b71-4d7e-b8d9-0ba58d269d62 · outbound

This paper cites VLAD-based loop closure detection for monocular SLAM.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning VLAD-based loop closure detection for monocular SLAM

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.180311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b64f89d-17c3-4e02-8090-5c2609d5732c · outbound

This paper cites NetVLAD: CNN architecture for weakly supervised place recognition.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning NetVLAD: CNN architecture for weakly supervised place recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.163204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 155dc5ca-6151-4867-8de9-b066d64d764d · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Superglue: Learning feature matching with graph neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.144775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bc51f35-213c-457c-96ba-1411fded1b30 · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning LoFTR: Detector-free local feature matching with transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.127046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62a679a8-86e3-4eaa-9c22-566a118e675c · outbound

This paper cites Curriculum learning.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Curriculum learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.108936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94946a31-7d5f-47eb-b9ad-d1a3c7b30923 · outbound

This paper cites Cur- riculum learning by transfer learning: Theory and ex- periments with deep networks.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Cur- riculum learning by transfer learning: Theory and ex- periments with deep networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.089932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df7b2aab-1a3e-40c5-a880-5a8451ba6114 · outbound

This paper cites gradSLAM: Automagically differentiable SLAM.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning gradSLAM: Automagically differentiable SLAM

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:51.311763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c49f32e3-e12e-48fb-a5cb-67aec9894ffd · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deepfactors: Real-time proba- bilistic dense monocular slam

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.069918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35792da9-f8be-495d-adf8-49847779cbd5 · outbound

This paper cites LoRa technology- an overview.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning LoRa technology- an overview

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.040230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dde7935-b29d-4406-9267-71027260aed7 · outbound

This paper cites Visual prompt tuning.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Visual prompt tuning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:52.019124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6c09473-d058-4db1-88c3-4a0227b2633f · outbound

This paper cites Optimal Image-Aided Inertial Navigation.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Optimal Image-Aided Inertial Navigation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.999582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aba73433-492e-480d-b329-e91491eaaee7 · outbound

This paper cites Deeplio: Deep lidar iner- tial sensor fusion for odometry estimation.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deeplio: Deep lidar iner- tial sensor fusion for odometry estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.983319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ddad99be-c1a6-4a82-951f-c5a850a354fa · outbound

This paper cites S-PTAM: Stereo parallel tracking and mapping.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning S-PTAM: Stereo parallel tracking and mapping

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.963763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f233d9dd-9080-48cb-988d-587fc16fd918 · outbound

This paper cites maplab: An open framework for research in visual-inertial mapping and localization.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning maplab: An open framework for research in visual-inertial mapping and localization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.940792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35730a03-df4b-4361-9e2b-f3ed4fd75746 · outbound

This paper cites Mono-hydra: Real-time 3D scene graph construc- tion from monocular camera input with IMU.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Mono-hydra: Real-time 3D scene graph construc- tion from monocular camera input with IMU

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:14:51.650905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df118b5c-5824-4a71-b5ce-9cad5b101b2c · outbound

This paper cites Atloc: Attention guided camera localization.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Atloc: Attention guided camera localization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.923527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c5820aa-7be4-483f-a64f-0bb281a55e9b · outbound

This paper cites Vision meets robotics: The kitti dataset.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Vision meets robotics: The kitti dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.904318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67f08b67-97ac-40b2-81e6-1ed8ba6754f7 · outbound

This paper cites The EuRoC micro aerial vehicle datasets.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning The EuRoC micro aerial vehicle datasets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.886302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9df72545-888f-4da5-a6a7-2b07f5eb3094 · outbound

This paper cites A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.870125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fdf444e7-b89d-4c00-a9f0-f6b21341a1e6 · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning A benchmark for the evaluation of RGB-D SLAM systems

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.851547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3249494-2a2a-45fe-b4b6-70bfef918224 · outbound

This paper cites Robust Monocular Visual Odometry using Curriculum Learning.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Robust Monocular Visual Odometry using Curriculum Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:14:51.473053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8501639d-36c7-4474-a72f-2b1a29aaa8ca · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.833668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8bdcef70-cd18-4d29-b1de-dc45e26173ef · outbound

This paper cites Deep Visual Odometry with Events and Frames.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deep Visual Odometry with Events and Frames

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.813554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1ab5664-8a22-4faf-8cb2-dafec452d2a8 · outbound

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

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning TartanAir: A dataset to push the limits of visual slam

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.793167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c643e149-ce81-4666-a2e3-e7cba854f268 · outbound

This paper cites Deep event visual odometry.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Deep event visual odometry

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.769074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9170c19b-2c1e-4144-a171-512073f1f0dc · outbound

This paper cites Tar- tanvo: A generalizable learning-based vo.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Tar- tanvo: A generalizable learning-based vo

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.749386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94c9c679-b46d-4bd9-9373-2e42ad3519d7 · outbound

This paper cites SVO: Fast semi-direct monocular visual odom- etry.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning SVO: Fast semi-direct monocular visual odom- etry

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.726732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fdfdf40-ebb1-40d4-b4e1-2da91ca7f0dd · outbound

This paper cites Direct sparse odometry.

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning Direct sparse odometry

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:51.706248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.