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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:00efef596621d23f1c1f190a11f4d8be9d9753cae3e3dec525b095466c95a046

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:02.478540Z digest=sha256:3542077372c9f91254be58d32c8290d794c91bfbe7a431a77b598b9eec386438

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:02.553763Z digest=sha256:bbf34706ef0b27537f3750c97890bfc6d66b6f51acaf1ff1c97ad492dbff83fb

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:02.611568Z digest=sha256:4862247e888dd21b36349848bae740a48914de3246153d8c67ef467a89484314

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:02.694294Z digest=sha256:3976d231aba2652f297cf465487dbe1889e57ca8924f6319175ead11c9a4a55e

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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verified fuzzy
raw_fallback, observed 2026-08-06T21:34:08.725193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:02.771958Z digest=sha256:b165293a651fc36ab106ef248582ef7d7144ceb1145288dfd8a1c3f68b34edf2

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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no resolver link, observed 2026-08-06T21:34:02.860299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.860299Z digest=sha256:3623d7f236f4c73dd9cfd56a1ba5ff3ee9f1228a07b42b3a94c9e2c178781288

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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no resolver link, observed 2026-08-06T21:34:02.945260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.945260Z digest=sha256:a246c57943e0a4ce8ba30f4d79a2e2a16ab3f942936965120644dffc833766ab

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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no resolver link, observed 2026-08-06T21:34:02.997668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:02.997668Z digest=sha256:ca41d6b96a70a338e829e81abb12ea9554038bb58310256326d62b3ee0b3fb38

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=sha256:937ea6b599c9ed9ebc3f4bc4b240cc04854ddb8f07098232dc72e299dc78f21b

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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no resolver link, observed 2026-08-06T21:34:03.130002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.130002Z digest=sha256:905024ad3513a200cc15b43cc0c66316c125e7281e5a58c082d7a7ff589a5554

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:03.193222Z digest=sha256:161f48fee71bf3096d2883563e1da36d9ad082b039f4be66db92d938abd11e5c

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:03.256611Z digest=sha256:f4396a09e32e9024afdfb09db1bc36ca2d89cdadb3ecd10a2c682b2edfb10de2

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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no resolver link, observed 2026-08-06T21:34:03.299672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.299672Z digest=sha256:f8fd5ca153e6976f2b89b2aa11a00aa8b2633ac80a09031419a653b16bf2a28f

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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no resolver link, observed 2026-08-06T21:34:03.381572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.381572Z digest=sha256:849375589a10866aea77bddb4b9f475162810888b8261cc4f8041139ba8cad0b

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=sha256:0ed8bb799bedde1746224da11df4d1d91e0c86bdccf833223a2a9b09e4ff5609

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.532442Z digest=sha256:e3728d67e3bbc6c6c2cfc37daf31f7844dc69f26ad8e840de46ade44f3355448

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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no resolver link, observed 2026-08-06T21:34:03.604430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.604430Z digest=sha256:95bd315e38dd3604e8a5f29837e351c8055e3525c0d5deef26bb312af7346d20

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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no resolver link, observed 2026-08-06T21:34:03.662271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.662271Z digest=sha256:7f317dc3ce85b6626406d2608a3db144ce3dbca1f1e851cc13374da9eab11c01

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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no resolver link, observed 2026-08-06T21:34:03.745086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.745086Z digest=sha256:29b19e7bebefa440ca6e942212eb03dff32cb38efc03a435625dc65a17223f08

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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no resolver link, observed 2026-08-06T21:34:03.824798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.824798Z digest=sha256:c9fd1734d81821923d77512afa3495de9d0773647e65c57e598083d4e49d8fc9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:03.906033Z digest=sha256:c189fec1386fde8ec0ce1305758d3138c4237eca35ebc3b9c2bc13a0cdb8fe65

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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no resolver link, observed 2026-08-06T21:34:04.027841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.027841Z digest=sha256:0663fc465a679646e00658cc2e011083195479a8825a3522d16448847950b2e6

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.121029Z digest=sha256:6143b9c6d282097304884febbb317f60768072eb310f30833217df915799d173

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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raw_fallback, observed 2026-08-06T21:34:08.307282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:04.182223Z digest=sha256:3f7e4c379666d2d9683d06adaa8aa304a8243b30af3c344a658d78bc36d58ba5

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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no resolver link, observed 2026-08-06T21:34:04.258826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.258826Z digest=sha256:96c0c48e0cb7f38ce8068807a2f674325b0933c4b91461edf6bd2dcd14afe1f9

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.317284Z digest=sha256:57fea9ceb93a33aed5d5ecb27ea1177c1a6a523d25a548b92f09a46c6751f5e9

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=sha256:6e3a778c1a093c2756644148a5ec12f5596ea371fa038b0c075dfe07235076ba

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.488020Z digest=sha256:dd0e2a38858b1b4edee91c3918db9d09fb14fe78c6ed85716f161c23bd919485

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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no resolver link, observed 2026-08-06T21:34:04.572413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.572413Z digest=sha256:8d0c8ddf26a762b7043b865b0fdff08834ab11eb232a4ef9b38f31b8963ea8a0

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:a673c38a79a85bd9a88b36322cf86137c75d4364fa618acc84b796d52144679e

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:04.649804Z digest=sha256:9408806163212d57ecf0b7a1017093301d75fbd018d93dd229e50433e3e54e6d

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:04.755090Z digest=sha256:2c2e0bddd67cf5350e4f6ad38894e8112a98fcd5974427f70db034f808fdbc71

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:04.848249Z digest=sha256:65db2fe23a7fa3d0fdc4f1e7dad430982acc0303413f418b6a8476be81817183

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:04.958228Z digest=sha256:dd2f7227cab2c1c56d9b2eb99706f0fb6b9ed3196c482b84839559e056ed3e80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:05.069662Z digest=sha256:dab78b9029299ca2706232ff435064aee332fb86c7457d8449dcaa134bc1f924

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:05.144425Z digest=sha256:902af90b419fe20afbe250b403effb29783a9504e1fa18dbff2a5d5b821d7744

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:f6fb8ec690ea7da4499865d83f8a831073334bdfa7122dcfc5df09aefcfa841c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:05.325936Z digest=sha256:81c57f55bfb0ba529e117bd51413b4842e38c7b9887f21d5e4b7a3ac1cd7d023

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:a701dca355bfd58e03292ead7e849313a70808943c207200b4ab7a1db7ac617b

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:ba96a9a467a593c1e359a70681d391e0319480a51813face1f8906fcdb2978e8

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=sha256:5243081c6c8470c6e47f991ac8671b28b57cdfe3ff011f05c17b00c04477507b

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=sha256:9c21a53ab2d4f98d7e72ef66d757233759f44b0439c6e1c568fb19864f00a8cb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:05.937310Z digest=sha256:9e545043e731b01c1dc5fdcbf590efbdbc6468648d83c9d50bfdb6057e604c94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:06.013512Z digest=sha256:0e675198cf705c10bb45a39946a0313713dcca6a43a11d422258754c0fbc4b82

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:06.120070Z digest=sha256:1f6b66e66a0943dc008d1f680d5f98a6f6bc57cd3c6e32baefaf8bd71f856229

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:e89c5068a5ea15108a941174c0bd5b25356b1b6987cc4c230d4518778eafc45e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:34:05.441913Z digest=sha256:a568d6e3b5ff73d0930a8f43c58e7576667922221267454167fef9f596a12320

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:25:18.100623Z digest=sha256:810db0a95fb89979c3f9d36a673b9c0d13e9447539f8691ef18ca54536bfb3c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:13:42.052386Z digest=sha256:29974e3a6ad015681ef557915360adbbe65a1f9c576cc60086d09e377a960827