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Paper Citation Record · LEDGER

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.22147.

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

pith.paper-citation-record.v1
2607.22147 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:42:17.753100Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 2a694867-591c-4786-b3c8-da30838cf3b3 · outbound

This paper cites Present and future of slam in extreme environments: The darpa subt challenge,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Present and future of slam in extreme environments: The darpa subt challenge,

Reference 1

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Observation 7f99d5b9-5ee0-4815-8d6d-68fd2e10f925 · outbound

This paper cites Slam for autonomous planetary rovers with global localization,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Slam for autonomous planetary rovers with global localization,

Reference 2

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Observation 216d7f1b-0507-4357-a632-8e597e025346 · outbound

This paper cites Challenges of slam in extremely unstructured environments: the dlr planetary stereo, solid- state lidar, inertial dataset,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Challenges of slam in extremely unstructured environments: the dlr planetary stereo, solid- state lidar, inertial dataset,

Reference 3

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Observation f386989d-5da1-4506-b4c4-2c67d9bd982e · outbound

This paper cites What is the best 3d scene representation for robotics? from geometric to foundation models,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis What is the best 3d scene representation for robotics? from geometric to foundation models,

Reference 4

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source=pdf_text observed=2026-08-01T05:42:15.160301Z digest=sha256:fb693f7f3210987c1d77a6d12e2ba8e6860e7a2db3948fbdb00f543b7f7910e8

Observation 412e8c64-40ff-4b71-a7b4-935d11853e78 · outbound

This paper cites How nerfs and 3d gaussian splatting are reshaping slam: a survey,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis How nerfs and 3d gaussian splatting are reshaping slam: a survey,

Reference 5

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source=pdf_text observed=2026-08-01T05:42:15.215689Z digest=sha256:5744a9146526e15c23cb58beee0f4c12a1716ccd9592c9904dfae1f5d5ea6e0d

Observation adcd2f91-dd07-4c07-aaa4-c78e277aeece · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis 3d gaussian splatting for real-time radiance field rendering

Reference 6

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source=pdf_text observed=2026-08-01T05:42:15.263141Z digest=sha256:55a894f528cc6738ff4eab1db5372f8555d5b7e07a5f55ff1501cc28e6cc23d3

Observation 0aec219d-b009-4d48-b2b4-e730227feff7 · outbound

This paper cites The s3li vulcano dataset: A dataset for multi-modal slam in unstructured planetary environments,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis The s3li vulcano dataset: A dataset for multi-modal slam in unstructured planetary environments,

Reference 7

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Observation 00d45b61-ac55-4e85-9a1e-c8f1759473cd · outbound

This paper cites Visual place recognition: A tutorial [tutorial],.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Visual place recognition: A tutorial [tutorial],

Reference 8

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source=pdf_text observed=2026-08-01T05:42:15.412673Z digest=sha256:6b8aa14878ab6973462338cbc97fbace923a0d686096389acd21e064796e1ea8

Observation 8a3d7dbb-1001-4612-8697-c2edfc9e972f · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 9

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source=pdf_text observed=2026-08-01T05:42:15.499126Z digest=sha256:d3e16a9284f9d52d710788e8856fe84382d4bb693d006295233bd2a0c02856b0

Observation f59e9dd7-86d1-4754-9c07-78161f146b7b · outbound

This paper cites Bags of binary words for fast place recognition in image sequences,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Bags of binary words for fast place recognition in image sequences,

Reference 10

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source=pdf_text observed=2026-08-01T05:42:15.559718Z digest=sha256:6b70e8299a02d79c468aca31cf1a65ca5e00c07299115f14aaf93eea5c3257f0

Observation 1504fc11-fa32-4835-8a39-3dcf0ec4b961 · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Epnp: An accurate o(n) solution to the pnp problem,

Reference 11

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source=pdf_text observed=2026-08-01T05:42:15.643923Z digest=sha256:2ddfadcfcf2d3d6d3223ce30f14553e7e95578e1349fd928c1ecb2300174164c

Observation 2c506b64-7fda-44da-a6fd-fdaeafd54b8b · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 12

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source=pdf_text observed=2026-08-01T05:42:15.693283Z digest=sha256:8bf2e53089dd8745932737236206d43ba56c6e7edc565d8c7ce01189cb66c929

Observation fafce664-33db-491b-bb9d-74e5bee12e14 · outbound

This paper cites Optimal transport aggregation for visual place recognition,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Optimal transport aggregation for visual place recognition,

Reference 13

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Observation 8db665d0-a460-4127-b727-1c3c58f38df2 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Vggt: Visual geometry grounded transformer,

Reference 14

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source=pdf_text observed=2026-08-01T05:42:15.874312Z digest=sha256:4eedab6573d2acb7a0c2781b23ec009ad97083fc0d25003597cc6bb1a1a7274b

Observation ea1bcedb-8ead-42ba-9f1d-a2b21ec40f16 · outbound

This paper cites VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

Reference 15

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source=pdf_text observed=2026-08-01T05:42:15.954136Z digest=sha256:341ce927f8eb6ae7f0a848a45bda54af4a87fda0f00646808cd9ea9fdc538d5f

Observation 4815f768-ec15-48a9-b62a-b0ea9a090f03 · outbound

This paper cites Bow3d: Bag of words for real-time loop closing in 3d lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Bow3d: Bag of words for real-time loop closing in 3d lidar slam,

Reference 16

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source=pdf_text observed=2026-08-01T05:42:16.018100Z digest=sha256:413230bee2126fb90dd1bd934e118e94dc10c2b98c74ea7eed75855f8b99c1bc

Observation 0c13f64d-8872-40b9-b677-ad14546e7525 · outbound

This paper cites Lcdnet: Deep loop closure de- tection and point cloud registration for lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Lcdnet: Deep loop closure de- tection and point cloud registration for lidar slam,

Reference 17

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Observation 4122f0ae-3e0d-4c90-9111-0b4e26707e25 · outbound

This paper cites Fast and accurate deep loop closing and relocalization for reliable lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Fast and accurate deep loop closing and relocalization for reliable lidar slam,

Reference 18

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source=pdf_text observed=2026-08-01T05:42:16.155717Z digest=sha256:1a38ce1a0928f94a0d34d0e0a24e83d28b227f3bab21b3c5fb840bf62f618371

Observation 45b8cb18-5e41-469d-a3f0-e63e6cbb95f2 · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Reference 19

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source=pdf_text observed=2026-08-01T05:42:16.235555Z digest=sha256:9a4c8bba3f770e2b3d02c335ce988f60fae67ea5856e8b4709394718e2bbf4ce

Observation 0d46b027-b5b4-4cdf-b375-94a92727d71a · outbound

This paper cites Understanding the limitations of cnn-based absolute camera pose regression,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Understanding the limitations of cnn-based absolute camera pose regression,

Reference 20

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source=pdf_text observed=2026-08-01T05:42:16.306839Z digest=sha256:be5251542821845e687ae9e5ec4c0b5dbfc6b101b5b6b1c2fedb6f987c8aad6b

Observation a7c877d6-2323-43a2-97f9-18fccd9d51b6 · outbound

This paper cites Advances in neural rendering,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Advances in neural rendering,

Reference 21

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source=pdf_text observed=2026-08-01T05:42:16.351787Z digest=sha256:ef67185c7633139802fdaa0f5ca42d245dc2be70810bff9e3cf70c69fd729b0d

Observation 21acf39d-dff8-491a-85b7-8a57fc35dfae · outbound

This paper cites View interpolation for image synthesis,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis View interpolation for image synthesis,

Reference 22

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source=pdf_text observed=2026-08-01T05:42:16.441499Z digest=sha256:0c2ba96f4dba1f4895b0aaa5e055073d0c585abfa310f2f8f9f54d6bc26744c4

Observation 55a73212-845f-464a-b6e6-3b72f138623c · outbound

This paper cites View morphing,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis View morphing,

Reference 23

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source=pdf_text observed=2026-08-01T05:42:16.523175Z digest=sha256:a7dd905104195c2f8f2d3f6203cff86919d2b2866da5d644e55278e342a8cd5e

Observation ac3b1836-855a-4343-a930-aab4db19a2b8 · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 24

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source=pdf_text observed=2026-08-01T05:42:16.586647Z digest=sha256:6571c91fd6f47a9200b8a0ea3db5020416bd0a74f0dd711c06bcafc93cb5bde0

Observation c37f2f5a-2167-4f54-be9d-18125c32d648 · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splatting reconstruc- tion from multi-view stereo,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsgaussian: Fast generalizable gaussian splatting reconstruc- tion from multi-view stereo,

Reference 25

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source=pdf_text observed=2026-08-01T05:42:16.649487Z digest=sha256:a88353a89b38e3da6dfda21389a8b235f31d91f77bee7db3447a4dd226613f64

Observation 195c5d1a-7864-4da0-881f-3309c505ebab · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,

Reference 26

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source=pdf_text observed=2026-08-01T05:42:16.714299Z digest=sha256:f7bc1e071924914e8549a61d43ff2a2700241016c1562f61e8629f0023549026

Observation 73661a33-f92d-4e12-af65-2ccea035942a · outbound

This paper cites Sparse2dgs: Sparse-view surface reconstruction using 2d gaussian splatting with dense point cloud,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Sparse2dgs: Sparse-view surface reconstruction using 2d gaussian splatting with dense point cloud,

Reference 27

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source=pdf_text observed=2026-08-01T05:42:16.764378Z digest=sha256:65b6237f43b1ace89afb9ccf4041595056d18e1c5772942da375b318152a863a

Observation 479fd362-35fc-47d8-bf3d-4d274468cebc · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dy- namic autonomous driving scenes,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Drivinggaussian: Composite gaussian splatting for surrounding dy- namic autonomous driving scenes,

Reference 28

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source=pdf_text observed=2026-08-01T05:42:16.827734Z digest=sha256:957fa97048b73eab21c57d8a283345a90fcb85713c1808afc4a39aa449aeb0ec

Observation f902ef4a-59bf-4a86-84fd-fbdfc90d2469 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Street gaussians: Modeling dynamic urban scenes with gaussian splatting,

Reference 29

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source=pdf_text observed=2026-08-01T05:42:16.874125Z digest=sha256:c6a50353848b5dfc7582b9d19dd848dad5f618d944c6357ce76282b3530e6718

Observation 0b4af51f-c659-4977-a1f4-93baab339e2a · outbound

This paper cites A constrained optimization approach for gaussian splatting from coarsely-posed images and noisy lidar point clouds,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis A constrained optimization approach for gaussian splatting from coarsely-posed images and noisy lidar point clouds,

Reference 30

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source=pdf_text observed=2026-08-01T05:42:16.932557Z digest=sha256:56bfba0e401b83604aab1431e76375e70506fd175718c02237fc0bd5b4d425c3

Observation bbcb0870-168e-4428-bb09-f89084b581e5 · outbound

This paper cites iNeRF: Inverting neural radiance fields for pose estimation,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis iNeRF: Inverting neural radiance fields for pose estimation,

Reference 31

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source=pdf_text observed=2026-08-01T05:42:16.997843Z digest=sha256:2779c2cd58ebd1373668d74d06341546448805664bc4155b2a0b1766787d1464

Observation e673e2ad-971a-4799-9a4f-82d92b385c21 · outbound

This paper cites 6dgs: 6d pose estimation from a single image and a 3d gaussian splatting model,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis 6dgs: 6d pose estimation from a single image and a 3d gaussian splatting model,

Reference 32

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source=pdf_text observed=2026-08-01T05:42:17.050130Z digest=sha256:4b1c6bbf1fb6efb8f78c338632467dce2fc67239b3fc959301275c1482770b51

Observation bafa016d-34b1-4846-9779-1602bbd4e8e5 · outbound

This paper cites Gs-lidar: Generating realistic lidar point clouds with panoramic gaussian splatting,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Gs-lidar: Generating realistic lidar point clouds with panoramic gaussian splatting,

Reference 33

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source=pdf_text observed=2026-08-01T05:42:17.154634Z digest=sha256:62bca06cd0635b16be49f31c820fb8e90f987755dcdaf6073f08963caef91a67

Observation 059c954c-a598-4a21-b563-1f6bf1bab918 · outbound

This paper cites Splatad: Real-time lidar and camera rendering with 3d gaussian splatting for autonomous driving,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Splatad: Real-time lidar and camera rendering with 3d gaussian splatting for autonomous driving,

Reference 34

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source=pdf_text observed=2026-08-01T05:42:17.191006Z digest=sha256:0768f06e2e04377ed00db67159c81f9117010d96424594d6ae32bb5652ea69d6

Observation a66ab8b9-dd2c-4fb8-bc63-479810873c61 · outbound

This paper cites Gaussian splatting slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Gaussian splatting slam,

Reference 35

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source=pdf_text observed=2026-08-01T05:42:17.268442Z digest=sha256:e9d43b18c63d43c1050f591cfedf110e00f2412c4808a3aac3e346f306643a81

Observation 191a92fa-8875-4256-b88e-77e130e2ea31 · outbound

This paper cites Loopsplat: Loop closure by registering 3d gaussian splats,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Loopsplat: Loop closure by registering 3d gaussian splats,

Reference 36

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no resolver link, observed 2026-08-01T05:42:17.330777Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T05:42:17.330777Z digest=sha256:a6b9da9d08a51a3039127e05f78e4b5a6de29de7637ff41c391e5b97593f8b60

Observation f65839e2-d9bf-49fe-97ea-1dadb39c597c · outbound

This paper cites Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,

Reference 37

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Observation d8f9558f-b6c7-4ea7-b472-4a8762f4c1b8 · outbound

This paper cites Mvsanywhere: Zero-shot multi-view stereo,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsanywhere: Zero-shot multi-view stereo,

Reference 38

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source=pdf_text observed=2026-08-01T05:42:17.441920Z digest=sha256:815b72a38f45de3dbc217b41dd18fcbc069db3c942b77bb281a5a438e77e6287

Observation 4c6f49b5-9350-4c82-84ad-9489c0e81e9a · outbound

This paper cites Multi- modal loop closure detection with foundation models in severely unstructured environments,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Multi- modal loop closure detection with foundation models in severely unstructured environments,

Reference 39

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source=pdf_text observed=2026-08-01T05:42:17.498045Z digest=sha256:0821d60c5a6b29392bd3f7816947ac722582d9b820f86281d2905299d950d866

Observation 9f891523-b2d9-425e-8d51-f81c93804588 · outbound

This paper cites The faiss library,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis The faiss library,

Reference 40

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no resolver link, observed 2026-08-01T05:42:17.556649Z

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source=pdf_text observed=2026-08-01T05:42:17.556649Z digest=sha256:7a4f32335594b801f23523ac7a41ed84998d049784add287c7fe6ed58e69fbc6

Observation 2aff043a-a32f-4efa-9130-47eb35266d93 · outbound

This paper cites Multi-modal loop closing in unstructured planetary environments with visually enriched submaps,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Multi-modal loop closing in unstructured planetary environments with visually enriched submaps,

Reference 41

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source=pdf_text observed=2026-08-01T05:42:17.612232Z digest=sha256:b2683eea3ff45ff5f46d22e3e3407caf365783da8bc0fafd6faf49d88d36ca3d

Observation ff194b63-52fc-42a2-b267-7e1e3e1f74d1 · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Superpoint: Self- supervised interest point detection and description,

Reference 42

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no resolver link, observed 2026-08-01T05:42:17.691521Z

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source=pdf_text observed=2026-08-01T05:42:17.691521Z digest=sha256:63b32f1acc427f95f7d6848e66d59d7a16c873fb61140a1bac55d272af924904

Observation 7ab8c551-265e-4ea0-8c45-33932c7c54a4 · outbound

This paper cites Su- perglue: Learning feature matching with graph neural networks,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Su- perglue: Learning feature matching with graph neural networks,

Reference 43

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source=pdf_text observed=2026-08-01T05:42:17.753100Z digest=sha256:e2b957fe9825a51c120a64c15ea8674021d0d474ac5e1427de6db1cbf662b33b

Pith citing papers

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