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Paper Citation Record · LEDGER

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 6 inbound Pith citation observations for arXiv:2506.02265.

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

pith.paper-citation-record.v1
2506.02265 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:52.003391Z

measured 85 of 85 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:12.127589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T23:55:43.023437Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact7
  • verified fuzzy29
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ca26002-95da-4365-a9d2-7576b285dd3d · outbound

This paper cites Multiple View Geometry in Computer Vision.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Multiple View Geometry in Computer Vision

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:59.703243Z

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=2026-08-07T11:31:46.837491Z digest=sha256:ffb90c6318ed03d0d710b5558738f4282c3d0da0decf376c7ceff16be5c39ec4

Observation c4d01dbc-ec5a-41a9-b9e2-852dcd0501d9 · outbound

This paper cites an unresolved cited work.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:46.924268Z digest=sha256:24fa053b5b058489e5107bf8bc83d2c2d808951118d2ceb9c7c27351c83e964c

Observation 7699ffd5-af21-4dad-b9bd-3fe133fd566b · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Loam: Lidar odometry and mapping in real-time

Reference 3

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no resolver link, observed 2026-08-07T11:31:46.992607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:46.992607Z digest=sha256:3b22d2091e03c916ad8d8f2c9ae7c767809cf7e44e9ec61ac692efa359877a2d

Observation fef56326-3f5c-460a-a05d-085b8467573b · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 4

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no resolver link, observed 2026-08-07T11:31:47.042099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.042099Z digest=sha256:7d2e73a445f36b9d2ff4add2cd61ef5f6bb40d6db04ea2620e4c95b3cd97d0b7

Observation e121cf24-f7cb-4bba-8ac3-3582daafc6c3 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering, 2023.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction 3d gaussian splatting for real-time radiance field rendering, 2023

Reference 5

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no resolver link, observed 2026-08-07T11:31:47.130617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.130617Z digest=sha256:bd50b6897ab61f9d47b573b6fab72ce6316461fee29ea9601e7f31d1f45796dc

Observation 3d22d8eb-fede-4312-b40d-1b07e8d72dc6 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Instant neural graphics primitives with a multiresolution hash encoding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:47.197792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.197792Z digest=sha256:1e06aae41db7b5b7120e3ecb695f464ce2078ebc8c97e3ddeb6f72b5bea1c592

Observation 994dd4b8-565b-496d-a024-0e61969adb92 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 7

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no resolver link, observed 2026-08-07T11:31:47.270198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.270198Z digest=sha256:5a668a81dc975e5230b16206cc51217293895fffcf45308cb4281ea16bb0b436

Observation d2fa6dd5-c35b-4db1-9f70-3316c67a7a96 · outbound

This paper cites Schonberger and Jan-Michael Frahm.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Schonberger and Jan-Michael Frahm

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:59.507019Z

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=2026-08-07T11:31:47.381199Z digest=sha256:a17c1365cab713d01d432ae93b072495d1ae9e24fdd33d022717748d87b9c09a

Observation 9ea26456-977c-4745-8aff-1d5aac6a3be0 · outbound

This paper cites an unresolved cited work.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-07T11:31:59.373446Z

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=2026-08-07T11:31:47.441080Z digest=sha256:35c64ab0d2482c021d00f6b838027b55bcdc6de33354faec81e0d6f7d26d9ddf

Observation 404fa357-1981-4f76-8d66-e7dda116ddac · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Accurate, dense, and robust multiview stereopsis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:59.187848Z

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=2026-08-07T11:31:47.535964Z digest=sha256:7b0d84dbed083181631f7fbe1cb997f6fe50c9393eedd34ea7ff15c55aeeb835

Observation 1cccd2d4-aa11-4fe2-855a-f51ff7e445e1 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Dust3r: Geometric 3d vision made easy

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T11:31:59.013553Z

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=2026-08-07T11:31:47.623044Z digest=sha256:e75633f455546c1405f2cc80b5504edfbc806e083c8b7ec996d5aae080a1254e

Observation c54c2a00-e254-44ff-be73-f1df5cf7713c · outbound

This paper cites Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:58.837954Z

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=2026-08-07T11:31:47.683772Z digest=sha256:aaadf139e5200ea8a588223804daf7fda46199e0d6022fcb7e9ddededd2bd306

Observation 4f8fb475-3d24-4704-adc2-d82243209c66 · outbound

This paper cites MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:47.742823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.742823Z digest=sha256:121dc03a9f65e2143a4c53e9efb175ff3c46db0ac04d78294eaf9641229f256d

Observation af30b448-0473-4c97-a16a-fbbf8aa1f90f · outbound

This paper cites Probabilistic structure matching for visual slam with a multi-camera rig.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Probabilistic structure matching for visual slam with a multi-camera rig

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:58.653035Z

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=2026-08-07T11:31:47.814539Z digest=sha256:490d42617a712ca801f000a7627880730e41855cba673db63451cfd332d34884

Observation 0952fbbc-aeb5-4d61-8190-71e52ef460bb · outbound

This paper cites Leveraging image-based localization for infrastructure-based calibration of a multi-camera rig.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Leveraging image-based localization for infrastructure-based calibration of a multi-camera rig

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:58.488967Z

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=2026-08-07T11:31:47.864508Z digest=sha256:ebc6005d2429ee327188353e3dd83f9dd882c45024c7bc905d351031aa729d6d

Observation bf9a5605-5b7d-47be-8d04-2562a69a53b9 · outbound

This paper cites an unresolved cited work.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-07T11:31:58.325200Z

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=2026-08-07T11:31:47.930492Z digest=sha256:9306d61f6cd55e5d5e21260b7aef7bd727e2470a7ea4d7b3150b6a857c9c47d9

Observation d62adf79-c3b4-4405-9444-580f8a16fca4 · outbound

This paper cites Global Structure-from-Motion Revisited.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Global Structure-from-Motion Revisited

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:31:53.930340Z

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=2026-08-07T11:31:47.999577Z digest=sha256:eaa2082441964b047d3affb20f828cf202ac5bc922c1bc33d06f8428544ff2f6

Observation d906b074-4417-4972-9e38-f2489d7ccc86 · outbound

This paper cites FastMap: Revisiting Structure from Motion through First-Order Optimization.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction FastMap: Revisiting Structure from Motion through First-Order Optimization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.090552Z digest=sha256:3b3bfde085881c1e3a09b0aac2f789418fe85b301b53c68133b7c1ad7763d97b

Observation 6b07ea35-8c52-40f1-8482-0d0bb5cbe818 · outbound

This paper cites SuperPoint: Self-Supervised Interest Point Detection and Description.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SuperPoint: Self-Supervised Interest Point Detection and Description

Reference 19

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no resolver link, observed 2026-08-07T11:31:48.151872Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:31:48.151872Z digest=sha256:b815dcf0c7de780830d4b8219203887e0e82e85ea4389743d41792d3821816d5

Observation 8cccb5a9-b635-461e-848f-a65810526d95 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 20

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unresolved
no resolver link, observed 2026-08-07T11:31:48.222151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.222151Z digest=sha256:acfd905fb595d752478cb6b77ed2dad3532bc7ffee9b455b47cb3d118fde73ba

Observation d42c4b1c-310c-4037-a813-24d9a3f27b9d · outbound

This paper cites Back to the Feature: Learning Robust Camera Localization from Pixels to Pose.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:31:53.700803Z

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=2026-08-07T11:31:48.303681Z digest=sha256:a672f6e86cb9ec9766f205bf10f71e52601a0b1dfed83955c8d94495dc7d2a61

Observation 1d3a81a7-5015-4100-9cd9-23925d5f2954 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction LoFTR: Detector-free local feature matching with transformers

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T11:31:58.128677Z

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=2026-08-07T11:31:48.345866Z digest=sha256:7eda7120b7d64cb913134f52222b032434efb56b24887bc2a5c730168220bdc7

Observation cf811ac4-19d1-4aa5-a0fd-bc6a3bd617ad · outbound

This paper cites RoMa: Robust Dense Feature Matching.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction RoMa: Robust Dense Feature Matching

Reference 23

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no resolver link, observed 2026-08-07T11:31:48.433776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.433776Z digest=sha256:f2678393662f2f7067796eea41b6721cdb44dcf0e7abbf27b9882ae166a2fbd3

Observation 829a6542-0db6-406f-ac00-8a145c49e503 · outbound

This paper cites NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Reference 24

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unresolved
no resolver link, observed 2026-08-07T11:31:48.527922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.527922Z digest=sha256:c63d5d3aab37eba721862a84eada499b18cc2878101c4061e702e55266631ce2

Observation 8519f6c7-a059-4957-b56c-198648d4d35a · outbound

This paper cites DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:48.581933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.581933Z digest=sha256:8ff8e37898586387117963c0fc5b52661f363018c89a20ed663a529d000224b8

Observation 53677ba7-dfa1-4c39-831b-f351a0ebadcf · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images , page 370–386.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images , page 370–386

Reference 26

Resolution
verified exact
doi, observed 2026-08-07T11:31:52.422035Z

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=2026-08-07T11:31:48.624351Z digest=sha256:6001aa5742db7c990d8b97abdf939c8b4d25319e5ff44dc9c9a9042cd114f60a

Observation b4aa4f3a-a616-4c7c-af76-ebdfd16aabae · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 27

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unresolved
no resolver link, observed 2026-08-07T11:31:48.686775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.686775Z digest=sha256:9fbe8c17d01043c224c2b253663b098a8e15f003131fc08a6e98e14f1b55e0e4

Observation a9850795-55f3-4702-9ef3-eb83e3154f04 · outbound

This paper cites an unresolved cited work.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:31:57.942961Z

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=2026-08-07T11:31:48.769364Z digest=sha256:e88603f64f70e3459eefa27821d0d8b170a5ed52519a783cf077746e8674446b

Observation daa6e2da-8ce3-4ceb-9361-36b7260ed5f6 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Depth anything: Unleashing the power of large-scale unlabeled data

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:57.784208Z

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=2026-08-07T11:31:48.813884Z digest=sha256:efa8d3027b71f2b6d1ef0d447be0ff65608c42eb4c3870c442004b02a0aa0ed6

Observation 8e9c838a-d1af-450f-93cb-3628d2def12e · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vggsfm: Visual geometry grounded deep structure from motion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:57.635900Z

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=2026-08-07T11:31:48.906712Z digest=sha256:af509fffdf72007b0f7970d2c11963dd3d94b1a167c36d7fab4925c11c430b7d

Observation c50ddfe2-8eb3-49ca-a97b-4c3ab2266649 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Continuous 3D Perception Model with Persistent State

Reference 31

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unresolved
no resolver link, observed 2026-08-07T11:31:48.992374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:48.992374Z digest=sha256:b8f0c4e4e8536404c4d7802ce0acf14dac7be2f0a12f43e2f1b19768ee5ddda6

Observation f60add61-8688-4a93-b2e7-d9729a5da0b5 · outbound

This paper cites 3D Reconstruction with Spatial Memory.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction 3D Reconstruction with Spatial Memory

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.061820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.061820Z digest=sha256:5c5da7960f25eec1e98958c53860615d5617a5d701c759b885d6277cb497569c

Observation 2fba2009-a0b4-4af9-ae7d-3ef024b5ce82 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.154362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.154362Z digest=sha256:d8c4f5049afa992c7f2a97f6377379b3dfd74343d8bb47a536a2dfda503c959a

Observation 38e7ce11-cbc0-475b-b0ff-08bf18cfada3 · outbound

This paper cites Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.224103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.224103Z digest=sha256:6d66e29c72c5b1eaad14cc68a858dd2462416580757a448d0cca0865b6356f42

Observation ffb783f3-4a8b-4ea3-9ff6-93512d0005e7 · outbound

This paper cites Easi3r: Estimating disentangled motion from dust3r without training, 2025.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Easi3r: Estimating disentangled motion from dust3r without training, 2025

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.281322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.281322Z digest=sha256:0ee9db65400e69a9a446981ba5141ea4f10cbec5cc5f44afd1f50e9108ca03a9

Observation 792baa7a-c26a-4cdd-bb93-baa2a9846063 · outbound

This paper cites Slam3r: Real-time dense scene reconstruction from monocular rgb videos,.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Slam3r: Real-time dense scene reconstruction from monocular rgb videos,

Reference 36

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raw_fallback, observed 2026-08-07T11:31:57.483025Z

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=2026-08-07T11:31:49.399567Z digest=sha256:4b7cae6a684c035a0a9feeaba4bc659fdb33de37ce707e0395131773b6164127

Observation 6ae66c10-d067-4e72-a54a-83e5545f5cb5 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.593136Z digest=sha256:fe0264c9b75ca2e3d861d4587fc66752cb3e8663c35fee8e30fc1f8ab65597fd

Observation 1f7fbaca-e0fb-4a30-a69e-491be74c8633 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vggt: Visual geometry grounded transformer

Reference 39

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no resolver link, observed 2026-08-07T11:31:49.644715Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:31:49.644715Z digest=sha256:cf59e0a4eae5b3ebb9ade8478e05125fff9cf67b07e56ab73fd9322678ead030

Observation 39b117f8-a252-4119-a7f4-4f715d04f190 · outbound

This paper cites Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:31:49.707580Z digest=sha256:779d09eeefe388398c7d504021def00106dc0d3bfc65069741b93570acbc692c

Observation 358a43d5-e306-4812-a1fd-5c19fcec8e9b · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Epnp: An accurate o(n) solution to the pnp problem

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:57.337490Z

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=2026-08-07T11:31:49.803836Z digest=sha256:1b163ca11eda61ba6d47618189e0c5b536ec80fa5cf3a061517000227498faed

Observation 6049385a-bcd9-4c4a-9142-df16696b183e · outbound

This paper cites Fischler and Robert C.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Fischler and Robert C

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:57.180373Z

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=2026-08-07T11:31:49.854443Z digest=sha256:926c49fabc2f7a642e9d3b1222e6c37f450923b0d2a0737acff3bc3840c32341

Observation 4ef6579a-b0b6-4b2a-93c3-3313b197f3f6 · outbound

This paper cites PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:31:53.154749Z

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=2026-08-07T11:31:49.900401Z digest=sha256:58708f313abc2fc76de3ad49449499a052310ece4023de0a8d014826e07120e3

Observation bc6dc074-b397-429c-ba5d-b6247ba7dc0c · outbound

This paper cites Cameras as Rays: Pose Estimation via Ray Diffusion.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Cameras as Rays: Pose Estimation via Ray Diffusion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.987261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.987261Z digest=sha256:a25328a4e809f7af9ef8bf9839c44f27178bb63c839d7b567fbf7c54437549bd

Observation 917e6d58-3a9f-437f-9129-8098c9c471b0 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.076004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.076004Z digest=sha256:506abbd58dc8d99740b0316688fd449161f5631064339beb4b6a5a63eabfa6e8

Observation daab20fc-af85-4746-b624-7d052aa06def · outbound

This paper cites Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:31:52.970819Z

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=2026-08-07T11:31:50.127005Z digest=sha256:5351c4f5837712b1b173517095445fb5b11a2a03847e6c366200c1656f980e8a

Observation 76e84058-e3e7-4b6f-9680-d3e66dc4b103 · outbound

This paper cites Unsupervised Learning of Depth and Ego-Motion from Video.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unsupervised Learning of Depth and Ego-Motion from Video

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:31:52.757022Z

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=2026-08-07T11:31:50.153328Z digest=sha256:007e6a1c418867bb05fbba7520d8848c5734dd868acee04134d199d965ca7682

Observation 106afed7-86d6-40b1-b7d7-e8580a4a7685 · outbound

This paper cites DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.188937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.188937Z digest=sha256:2b1ca71e71f04d023dcbf34ea22f6d2058c74a7464c8dd03e38b0e1d62a5549a

Observation f92dd5a3-bbe7-4689-9835-906fc53268f4 · outbound

This paper cites an unresolved cited work.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:31:57.042619Z

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=2026-08-07T11:31:50.252379Z digest=sha256:3c1904d6ee28f365f6f85bd8268357f6f968d3eadb3d6f0e9430541953435bf0

Observation d69c7eff-8e7f-47d8-a197-7ddb7e43916a · outbound

This paper cites Oswald, and Marc Pollefeys.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Oswald, and Marc Pollefeys

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.885010Z

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=2026-08-07T11:31:50.292111Z digest=sha256:a3ade6599228206867f8bdc22e0ee26f24a0f72ff12dd7ba39655fac57752930

Observation cba645e5-c838-4079-a29c-742f473317b3 · outbound

This paper cites Splatam: Splat, track & map 3d gaussians for dense rgb-d slam.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Splatam: Splat, track & map 3d gaussians for dense rgb-d slam

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.726818Z

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=2026-08-07T11:31:50.347898Z digest=sha256:c836ae495edc01bf345aacaae4e9245d1a4ce0ae445e49761bb554f9f7f28a7d

Observation a4973f82-05b7-47d9-ba60-c82d64f43657 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Grounding Image Matching in 3D with MASt3R

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.401046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.401046Z digest=sha256:d1dd17d95eae8390fa8ce8f95550983aa7eec3106ce482f1de4db93e7fa1c26a

Observation 345b85e7-0a00-43fb-8f9f-7b140a3028f6 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.478882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.478882Z digest=sha256:ef36d78e488fcae284305a8337df3f63dd8aeae435243eb7c3e5e7d29dadbc10

Observation 9e125790-16d1-45e6-b1aa-0d7ba45ca200 · outbound

This paper cites Somani Arun, Thomas S.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Somani Arun, Thomas S

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.575190Z

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=2026-08-07T11:31:50.515298Z digest=sha256:fbf894d3b3305277f0f0b219d1d3819357120fa1546ba06cad244a4de9c1a929

Observation 4048dbb5-db68-47b4-b5cf-d1cf5658c56d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.558176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.558176Z digest=sha256:492f51375569c0ac7620c4f5ddea3ad4ea984145ef6d628c1f0298dc22e5c153

Observation ec8c0f0c-fb5d-454f-a5e2-d93bcf0289a3 · outbound

This paper cites Attention Is All You Need.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Attention Is All You Need

Reference 56

Resolution
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no resolver link, observed 2026-08-07T11:31:50.645041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.645041Z digest=sha256:c509b358ec0ae552326dd5fb176b4e79363b2d1208b0f4d9419a7ba91c4df332

Observation 4e26cc89-1959-41bd-8bd1-42b6c59da0bf · outbound

This paper cites Vision transformers for dense prediction,.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vision transformers for dense prediction,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.426364Z

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=2026-08-07T11:31:50.681983Z digest=sha256:cec9c512de1bc1ed04c378feb00aa7eda30fd5aaffc69a3fa0a80c926e499839

Observation 3021270f-70ec-4f1a-b782-87c8869b90c3 · outbound

This paper cites Modelling uncertainty in deep learning for camera relo- calization.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Modelling uncertainty in deep learning for camera relo- calization

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.243785Z

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=2026-08-07T11:31:50.782476Z digest=sha256:1271217f243a8d50d5cc0d0aa42f6937c3d71ca43a6d469e525b97b35dee6328

Observation 764616a8-96dc-44ac-bab3-1b7b11ac3a73 · outbound

This paper cites Capturing the geometry of object categories from video supervision.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Capturing the geometry of object categories from video supervision

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:56.061260Z

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=2026-08-07T11:31:50.853167Z digest=sha256:c7ccad027a9071e68073ce341dde9f1139236910b7d06ee449c0a6d75cd47385

Observation a87341b9-fe4d-4881-9a29-29a61e8fa57d · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:55.885972Z

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=2026-08-07T11:31:50.895324Z digest=sha256:d4a305920e512c70e4b668226a9bc3626803b8644dcde4c5e25f780f836ccb0c

Observation b1d4cdbe-f53a-4ad0-95de-47e749853907 · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo networks.Computer Vision and Pattern Recognition (CVPR), 2020.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Blendedmvs: A large-scale dataset for generalized multi-view stereo networks.Computer Vision and Pattern Recognition (CVPR), 2020

Reference 61

Resolution
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raw_fallback, observed 2026-08-07T11:31:55.695059Z

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=2026-08-07T11:31:50.934878Z digest=sha256:8094f65ad90c702a7b2f43535eda7cb35362c000450907563155fb1023546ee5

Observation 083f75a4-8c58-4da5-9dde-51d768e302d0 · outbound

This paper cites Map-free visual relocalization: Metric pose relative to a single image.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Map-free visual relocalization: Metric pose relative to a single image

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:55.540043Z

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=2026-08-07T11:31:50.984030Z digest=sha256:2e29f262e48d5726bd2c78d64a7572faa518e2651a1f68ec22dd3d4d61fb4b8f

Observation d15c4a1d-b583-4de8-a687-ab5dc84d1494 · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner

Reference 63

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unresolved
no resolver link, observed 2026-08-07T11:31:51.051154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.051154Z digest=sha256:18664596284337c08223c815aad713132a80051c78a33a6879c8024fb29e10bb

Observation 7f707337-3991-4c30-b719-52c4413c0518 · outbound

This paper cites Mvimgnet: A large-scale dataset of multi-view images.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Mvimgnet: A large-scale dataset of multi-view images

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:55.322668Z

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=2026-08-07T11:31:51.110990Z digest=sha256:6fad5552e96495089bec1a7211820dacd5295b4a478955d0bdc8550500e8d818

Observation ebe879cf-183a-44c8-8b06-b3ef8f757c49 · outbound

This paper cites PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking

Reference 65

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no resolver link, observed 2026-08-07T11:31:51.166748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.166748Z digest=sha256:e5da144d420d50f649e1e9c532eafb4a25a36172a6e04a1ea87ed3785a73fc41

Observation 4e7a7106-e77c-4750-940c-c064eb62bc05 · outbound

This paper cites Virtual KITTI 2.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Virtual KITTI 2

Reference 66

Resolution
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no resolver link, observed 2026-08-07T11:31:51.214377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.214377Z digest=sha256:869e148c73fcc0c762dc858c586f83977068d41717f982a54def6a65030795d8

Observation 43bf96b4-ac98-4f9c-959a-36fe66128584 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Tartanair: A dataset to push the limits of visual slam

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:51.284849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.284849Z digest=sha256:fb92e1f1b5cbc944d9ba61957a536391d5d84a6188b31ae977a8f1c2f72686f1

Observation 5a278cfd-91d2-459c-a9a7-5ebcc26c78c4 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Pandaset: Advanced sensor suite dataset for autonomous driving

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:55.106869Z

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=2026-08-07T11:31:51.329375Z digest=sha256:02360d800bb5022ae33b3e21af3a2647e94d060f51310b1dd7a5cc1da95615ad

Observation 0aaa45e6-d569-4158-ab91-c76aa7791653 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:54.943914Z

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=2026-08-07T11:31:51.370745Z digest=sha256:69fad8283bfe33b53c74204a054dabcf72904dfe27284f692e8aece77b602287

Observation 92eb8eba-a42e-4c55-a648-2be0b895b711 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 70

Resolution
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no resolver link, observed 2026-08-07T11:31:51.432349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.432349Z digest=sha256:28308a780d6512f8008a9f38a8b27c2c71f49cb6fb2792b72de6b3667de4d861

Observation c5491dca-aae9-46e7-8cd9-11a5ae3db38b · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction nuScenes: A multimodal dataset for autonomous driving

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:51.502179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.502179Z digest=sha256:80a7a52ca67cfec5338d754fc04cb6a1c1dd33591985bbaa5f950f48108faa7f

Observation 2b358a55-ba47-4efe-9ee0-5336158ac528 · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Scalability in perception for autonomous driving: Waymo open dataset

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:54.804814Z

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=2026-08-07T11:31:51.554670Z digest=sha256:14b87f55688920e0f86e353411f608b7ee292ff4d135f31e7a36d279aca3fe46

Observation 41a5550e-a5bf-433c-9950-2810e1764f7b · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction OmniRe: Omni Urban Scene Reconstruction

Reference 73

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unresolved
no resolver link, observed 2026-08-07T11:31:51.627748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.627748Z digest=sha256:f09414425ab4c50e900651996c92eca52251ef896543c87b60899596c9fffd12

Observation 1391946a-33e4-4901-814a-fc2ec5cd528e · outbound

This paper cites WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:51.732265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:51.732265Z digest=sha256:ca6262c290a8c7f4ae683ea1e3c1a1bbd854486f3e30dced4e5059a0d5f000e2

Observation 5e7e6a50-fd5d-420a-97ee-b34eb374ab38 · outbound

This paper cites Posediffusion: Solving pose esti- mation via diffusion-aided bundle adjustment, 2024.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Posediffusion: Solving pose esti- mation via diffusion-aided bundle adjustment, 2024

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-07T11:31:54.681561Z

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=2026-08-07T11:31:51.819557Z digest=sha256:2733374af029721da16501483ec902db2a4e3f131bb27ffdbfe701eb44245878

Observation bbe75863-3ec7-4535-a2b8-dd7e4b2fbb86 · outbound

This paper cites Relpose: Predicting probabilistic relative rotation for single objects in the wild.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Relpose: Predicting probabilistic relative rotation for single objects in the wild

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:54.529636Z

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=2026-08-07T11:31:51.891984Z digest=sha256:a3940bcfd50b5a773fd33387696095f0f0880ed635c58f2d75533f90a49996c1

Observation 9ad92b2c-99c4-45d7-9e3e-f967d518ab36 · outbound

This paper cites Image matching across wide baselines: From paper to practice.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Image matching across wide baselines: From paper to practice

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:31:54.310196Z

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=2026-08-07T11:31:51.952214Z digest=sha256:5f46caa6d4ffac00aad1ea7b51867057cf0dd9130f02167aeda64cc6c96b6ed2

Observation 54a9601b-2222-44c6-a9f9-65e461996974 · outbound

This paper cites A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem, pages 478–494.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem, pages 478–494

Reference 78

Resolution
verified exact
doi, observed 2026-08-07T11:31:52.197065Z

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=2026-08-07T11:31:52.003391Z digest=sha256:d8c12682bd1e245441e1681634ba06852fa30206aaac14f0e3eeb4838844252d

Observation 284ca38a-4deb-435b-9f32-7e98e6e5ea29 · outbound

This paper cites Vision Transformers for Dense Prediction.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vision Transformers for Dense Prediction

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:50.728421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:50.728421Z digest=sha256:32afb557eda5c84f68385542eac60e5777534c45485cf26a32935cdbd1ed4eb5

Observation 4b7bd602-4362-45f2-8fa3-207f33f4ebbf · outbound

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

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:49.455784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:49.455784Z digest=sha256:c3a60bddf2efba2855117024887d5759a7aad1692e34086b5f6c37ff12ea8602

Pith citing papers

Observation 36aaf0b8-6f5c-4f94-80f6-08225a726eb2 · inbound

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models cites this paper.

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:12.127589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:12.127589Z digest=sha256:d0c556b4f83e116b305d69e17b58329229c157be3cbe76e3bc18497c11a117a7

Observation 07038e20-3d0f-4969-8367-d17345f19a91 · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:11.684561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:11.684561Z digest=sha256:118dcb3c5db49c5516e81f5639072f55e1f7d6b4a22096580223e3e68cfd08c1

Observation de00bd00-76c2-46e0-bf02-12a06f2c664e · inbound

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset cites this paper.

LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:33:23.339829Z

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=2026-05-15T00:30:56.156113Z digest=sha256:c1ab1f9fbaa8eaaf9e90db8c4f47a1362843aeee060305588b7b2e85f3b41ca5

Observation 74490980-71f9-4038-870b-9392a083835b · inbound

LA-Pose: Latent Action Pretraining Meets Pose Estimation cites this paper.

LA-Pose: Latent Action Pretraining Meets Pose Estimation Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:51:28.862093Z

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=2026-05-07T08:57:27.503349Z digest=sha256:96baee80f343f8f6cee27718ba7e3b711d3700f69dd9202055e92972d792412b

Observation cdb16a78-8ac4-4e01-80b8-6b95223fc059 · inbound

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation cites this paper.

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:18.807109Z

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=2026-05-12T03:15:40.944411Z digest=sha256:3856e324d62252684013e6cf5f7e9d8a9e1955240ca994592d1a6f2f583f056a

Observation 1836e6a1-b17e-4481-a5e5-1606494db860 · inbound

TRIG: Trajectory-Rig Decoupled Metric Geometry Learning cites this paper.

TRIG: Trajectory-Rig Decoupled Metric Geometry Learning Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T23:55:43.024821Z

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=2026-07-08T23:54:53.463703Z digest=sha256:cf554f06f3ee62ac435f8139c744539be058b879138ed32e8462f3a35aa96c12