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Paper Citation Record · LEDGER

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2506.23863.

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

pith.paper-citation-record.v1
2506.23863 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:06.213439Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:25:18.100623Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:25:25.660275Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved29
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c662cb8-09f8-46ee-9038-6824572759e0 · outbound

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

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.411241Z digest=sha256:ced0304908e90241dbe38822f3089b2b3a60a3dd2548c397dc7162fa358ac0ae

Observation 0531e826-ad20-438d-889b-0da5f63b54e8 · outbound

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

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Lsd-slam: Large-scale direct monocular slam

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T21:34:09.350454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:02.478540Z digest=sha256:84fe062bf4a3683a279097da7c29c7baa41f1fffb46799fdf481344281446d17

Observation 6e3ca8a2-d818-462f-adcc-533c3b89e936 · outbound

This paper cites Parallel tracking and mapping on a camera phone.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Parallel tracking and mapping on a camera phone

Reference 3

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raw_fallback, observed 2026-08-06T21:34:09.129554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:02.553763Z digest=sha256:c4de489f478684022da331077154a645077e192da98fd49afbf540711341d4e1

Observation 35828843-84c2-4f1c-bf7a-34297a27f752 · outbound

This paper cites Structure-from-motion revisited.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Structure-from-motion revisited

Reference 4

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raw_fallback, observed 2026-08-06T21:34:08.991105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:02.611568Z digest=sha256:5e978af2395bbf846a06fd0c40276a583a5ae900366f73d460be599accb2b8cc

Observation 57b917a0-e78d-4f40-9a62-7839bc045f6f · outbound

This paper cites Massively parallel multiview stereopsis by surface normal diffusion.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Massively parallel multiview stereopsis by surface normal diffusion

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:02.694294Z digest=sha256:af5d0be7df6e87c92bde8684557fa8b991484f67eef3453afe4a48770efac5e2

Observation c3faca1b-3a56-4c04-8da0-754d3bace9dc · outbound

This paper cites Multi-view stereo: A tutorial.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Multi-view stereo: A tutorial

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:02.771958Z digest=sha256:d3cb7a5c61c0c33681ebb24c18ad7546ce38c016d132f2515f070a89ddb5d712

Observation 25728908-3dd1-448b-9e7c-8eaa8ded93b9 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Pixelwise view selection for unstructured multi-view stereo

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.860299Z digest=sha256:98cae456c4b25106b480afe8a964a359ee1fffd9e7259a283caade2ef77a9079

Observation 6341fe84-3505-437a-9c25-53027c24fb30 · outbound

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

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Dust3r: Geometric 3d vision made easy

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.945260Z digest=sha256:2e6f05094aeefe19aed9198f0a86560683953c7d319cbc29a5db3bf53b57afa9

Observation 33f51161-0e01-44cb-b155-f980efcee24c · outbound

This paper cites 3D Reconstruction with Spatial Memory.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction 3D Reconstruction with Spatial Memory

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.997668Z digest=sha256:998647739766717d495b709aed799981b9caab28f22df41877dfe7b7eee10937

Observation 0e57e007-7322-4b62-b80d-e499116dfd25 · outbound

This paper cites SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.065795Z digest=sha256:3008f30987ae7d1c7a1d987ddd98d1b5bdd0d6b964be6fc2fb450d7239a5f4f7

Observation 53ef1ceb-96d6-454d-883c-9d439392b8de · outbound

This paper cites Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.130002Z digest=sha256:3f845c512358d3d7295193f9fe13b7b95e9eb0ec2b9e3bbc713e120413fd512d

Observation ee732a69-9469-4bd8-80d1-58592863b626 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T21:34:08.574613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:03.193222Z digest=sha256:63f5ba8789525f4be986f7283cbdb81d6ed753d7dbf73e67b5afb3461e93dfce

Observation 4b2a313d-0d4b-491f-a7b4-a671c344abd6 · outbound

This paper cites Scannet++: A high- fidelity dataset of 3d indoor scenes.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Scannet++: A high- fidelity dataset of 3d indoor scenes

Reference 13

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raw_fallback, observed 2026-08-06T21:34:08.439632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:03.256611Z digest=sha256:fa1d8c8c01796290d54477d523e1e7d34e6acde3ad0ac8b51d7c75a81b6ecfe5

Observation eaca205d-c040-4132-9bf7-c42b98b35e2f · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.299672Z digest=sha256:151ea11adbddc0d82f2d96ff414afc3a9ff0623138a4d689e886468dab2a304b

Observation 3eb83ddd-34c3-4227-acc5-e7df567a0da9 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.381572Z digest=sha256:fefe4463e74a863c3e29f04ba21ea166883d6df1096c3169293f2c40657eb6f1

Observation 81c62357-df74-4910-9c63-bc7f90f632b7 · outbound

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

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Grounding image matching in 3d with mast3r

Reference 16

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no resolver link, observed 2026-08-06T21:34:03.466638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.466638Z digest=sha256:a9a1538a3d1d3a9f47ba751f1f211e33bbeb65c1ca3313a44160ab513f1e0975

Observation c1f7799c-51c6-4644-9c80-31f6c109975f · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 17

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source=pdf_text observed=2026-08-06T21:34:03.532442Z digest=sha256:d56899d59e9415915109b639cde8fbab9274f5abce741e735bb7f632aa88f945

Observation 7f5164b5-6543-43d2-b417-445901b866c8 · outbound

This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.604430Z digest=sha256:bd7bc93a0bc4538ea1009fb67c3748e7e32b789a701bae32d682218e7a1cff9c

Observation 0a55cc62-2df4-4d1e-8988-e3780dc9af60 · outbound

This paper cites Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.662271Z digest=sha256:1ebeae2d69f58a5c79389b6f8760b8158c28b11c63db0ad74c581ed525fd4d90

Observation de7da482-ad4e-4887-9e5e-2f839ae03032 · outbound

This paper cites Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.745086Z digest=sha256:62b39623091b445ee82b7ec6e83d79ba1726c657b917116b1ffbf6d426179528

Observation a13d2872-5d0e-474f-97b2-61f4fa81bd04 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.824798Z digest=sha256:e68e4546e15a3cd70fef8c32e59af267a5b4bfdb538b688869929fe774a9ae4a

Observation 10eee74f-04c3-4d45-b5cb-37b93982868a · outbound

This paper cites Continuous 3D Perception Model with Persistent State.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Continuous 3D Perception Model with Persistent State

Reference 22

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source=pdf_text observed=2026-08-06T21:34:03.906033Z digest=sha256:3c79797151ce88cb14f8420e10438714b3ef2dba8a14012a6f607a7487ff8796

Observation c9f8087b-9be2-4bc3-bf0e-41081324e0f9 · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction VGGT: Visual Geometry Grounded Transformer

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.027841Z digest=sha256:005b5c13e86d97d936fb30cb21780f8635ad902b5dc4f58ee2f222e60a9d12d9

Observation b6cef649-909b-48a2-ac9d-d31155f75ab6 · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 24

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source=pdf_text observed=2026-08-06T21:34:04.121029Z digest=sha256:daa8c9f3f7ce7d71687bc6d8063f57241d7b914cc3347dc071677a105b84aa82

Observation 02fdc9a0-36fa-4d4d-bb6d-a8c838c947ab · outbound

This paper cites Random erasing data augmentation.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Random erasing data augmentation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:04.182223Z digest=sha256:c5cf9c8341b182336d2a575c80af6f6269fd6aad25a062fe5683dea0fb701138

Observation 0df9680b-b161-40a5-bd31-9e3169000ee4 · outbound

This paper cites Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.258826Z digest=sha256:917279380b4e8a0815c76ff0a6dfba35111f6368c6400462adc7a16edb167e83

Observation ffd07d90-092d-401a-a80a-e6abf776cf69 · outbound

This paper cites GridMask Data Augmentation.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction GridMask Data Augmentation

Reference 27

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source=pdf_text observed=2026-08-06T21:34:04.317284Z digest=sha256:946d6a965ab8a2106773f125792226bbd563f72ccd2ee238be42e4da790a264e

Observation 1f7356ac-f66c-4c6e-8f95-209e9b9ee76a · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction mixup: Beyond Empirical Risk Minimization

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.421809Z digest=sha256:c62fe85ccb2caf93a5f41898dfba1cf50341d8fcd0949b37b46c17742a985d4e

Observation 990796c3-defc-4e0a-9a40-861d72765790 · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 29

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source=pdf_text observed=2026-08-06T21:34:04.488020Z digest=sha256:3a92fb0d5d3bf85cc2e6fd60bb7038adbd1fe57d01be579c6e48d85d4b3aa4b3

Observation b178f00c-ae75-4ad3-980e-d9223d1c2ea7 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Improved Regularization of Convolutional Neural Networks with Cutout

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.572413Z digest=sha256:da5230f4d3f92bd1002723c01e51b625c7ae342fc01580cf89c52e5aa7be35ea

Observation 7b267875-2d66-411a-9c6c-6ade5c266fdf · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.578522Z digest=sha256:efc8a33e87fe8c9d7154627af4f65eb85f6faddd082f37e7d830d6025a5508aa

Observation 170c74ae-e38d-49cf-83a1-cd073b2d6579 · outbound

This paper cites Learning data augmentation strategies for object detection.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Learning data augmentation strategies for object detection

Reference 32

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raw_fallback, observed 2026-08-06T21:34:08.196126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:04.649804Z digest=sha256:cf1fb2e8b5d90df5940d815790a1aa2227562e2fe4eae3b746384ee9efe278be

Observation 76eb51ea-e8d8-4c93-9d78-5708a0c57620 · outbound

This paper cites Classmix: Segmentation-based data augmentation for semi-supervised learning.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Classmix: Segmentation-based data augmentation for semi-supervised learning

Reference 33

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raw_fallback, observed 2026-08-06T21:34:08.057607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:04.755090Z digest=sha256:4e00e55d3f9d13727a7a502b5a24d1a647c1d547823a1f20626f0d1ad6876108

Observation 88abbfdf-cc5c-46dd-8d1d-3588f43b8204 · outbound

This paper cites Matching anything by segmenting anything.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Matching anything by segmenting anything

Reference 34

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raw_fallback, observed 2026-08-06T21:34:07.958111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:04.848249Z digest=sha256:a8408ccaf4a6126e9db962d68af1487339a3b9d5e140d4c71a8dc8fb96469b6c

Observation bd21eee8-cc70-4f60-bff9-3f64d00fc8c4 · outbound

This paper cites Bridging images and videos: A simple learning framework for large vocabulary video object detection.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Bridging images and videos: A simple learning framework for large vocabulary video object detection

Reference 35

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raw_fallback, observed 2026-08-06T21:34:07.825918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:04.958228Z digest=sha256:2aaa889d3b1f05acc43845f464041977c8562afc807414a13fb82969269f3662

Observation 1c40da49-e52d-481d-bd2b-f493e411953f · outbound

This paper cites Matchanything: Universal cross-modality image matching with large-scale pre-training.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Matchanything: Universal cross-modality image matching with large-scale pre-training

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:07.710917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:05.069662Z digest=sha256:3ceb69d7b20f889a36f8be9d6b18f13fc22df83d2f6c056c57f1bafea2ac57c7

Observation 228aa8fb-12e3-4785-b297-a5a62022fdd9 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applica- tions to image analysis and automated cartography.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Random sample consensus: a paradigm for model fitting with applica- tions to image analysis and automated cartography

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:07.605752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:05.144425Z digest=sha256:ad99d95af0dd26172641f2138aa9cc7710ad41713cc98e061d2638a8c6207cc2

Observation abdd6dd1-6756-4e64-97aa-14ef9fb68c0b · outbound

This paper cites Multiple view geometry in computer vision.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Multiple view geometry in computer vision

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:05.249860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:05.249860Z digest=sha256:0441ae8cf0efc406841586b3f3eec94d7e7222c7a66c7e8b36be87ca819c476d

Observation 7eb3f153-f268-4ce0-a536-5e1a339a7951 · outbound

This paper cites Rodrigues’ rotation formula—Wikipedia, the free encyclope- dia.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Rodrigues’ rotation formula—Wikipedia, the free encyclope- dia

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:07.453953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:05.325936Z digest=sha256:1c1455ba1f16b3c451067117fad5f5df4345a9807b23182b57c2b9d7b50a6983

Observation 98aa9d33-93eb-4706-ab69-7ced920291ae · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Open3D: A Modern Library for 3D Data Processing

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:05.526823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:05.526823Z digest=sha256:d3e1b48577e74cf5e276d9dc2a20193728c706dd89982177561774a25bbdeaa0

Observation 7bde38c9-3ea7-4bc5-98ab-dc9283322711 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:05.649045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:05.649045Z digest=sha256:bf59f942ed48734cfba417d4affe494fde87dde61aa53713a161f29e8401a9fa

Observation 2f7dbdb4-36a5-4b3b-b8a6-794e900b0c91 · outbound

This paper cites Habitat: A platform for embodied ai research.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Habitat: A platform for embodied ai research

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:05.719212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:05.719212Z digest=sha256:dfac28bac4547c41931842cae3827786e49d3975ce5863055d4ed27c5351ae00

Observation 13701753-1240-4270-9b80-473904a6e65a · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo networks.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Blendedmvs: A large-scale dataset for generalized multi-view stereo networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:05.803510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:05.803510Z digest=sha256:90cc4b13431cd300e2eee822f7194a4e6c37caa71b600249dcc2e069db9c1a23

Observation 4b5a3574-c2ef-42ee-afd8-c69f4d8de146 · outbound

This paper cites Scene coordinate regression forests for camera relocalization in rgb-d images.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Scene coordinate regression forests for camera relocalization in rgb-d images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:07.190208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:05.937310Z digest=sha256:78cea4fe5035dd01ec672de7b120a392093dfb06cb6fe501099d5c0a4ff81afd

Observation c3e1a09b-d5bb-4699-b177-9a27a016683b · outbound

This paper cites Neural rgb-d surface reconstruction.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Neural rgb-d surface reconstruction

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:07.045314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:06.013512Z digest=sha256:436a76df1e7c3998709ed2b701798359531ff7495b7e4b0a240371c1d1b46e9e

Observation 3bda58ea-b3da-4e84-9820-c72b0106ddd2 · outbound

This paper cites Large-scale data for multiple-view stereopsis.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Large-scale data for multiple-view stereopsis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:34:06.837106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:06.120070Z digest=sha256:dcc36403949595f04003bac939c9ef32f6582125cc5cd787bd07b17dba32458b

Observation f61950ac-2e8b-4ab3-a60f-2cab3f4a5032 · outbound

This paper cites MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:06.213439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:06.213439Z digest=sha256:8e8881f98ddc6c0f879d2513a74be55f6a39c0dcd121157453db5aefafbf0c2e

Observation e2f53b7f-734a-4cd3-b42d-415c0722c3ca · outbound

This paper cites an unresolved cited work.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Unresolved cited work

Reference 2025

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T21:34:07.332691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:34:05.441913Z digest=sha256:bfa9f357bf8f161963fd9b78d6b59b7153cfcc0d77016eec681222123cb05a95

Pith citing papers

Observation 9fa1dc34-b9ca-4633-8907-b6148bcdf678 · inbound

RobotPan: A 360$^\circ$ Surround-View Robotic Vision System for Embodied Perception cites this paper.

RobotPan: A 360$^\circ$ Surround-View Robotic Vision System for Embodied Perception Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:25:25.662239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T13:25:18.100623Z digest=sha256:9b11e7848af74871725069603fc00d6f5b716d591f5c5d602715b07508931501

Observation 7153bbd9-87f7-4afc-8b73-0c6d3b364552 · inbound

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective cites this paper.

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction

Reference 174

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:26.090374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T13:13:42.052386Z digest=sha256:3a4999a64a553b55b9fcbde98e441894823293619cdc389ddad2954a5cb199ba