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Paper Citation Record · LEDGER

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.17973.

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

pith.paper-citation-record.v1
2505.17973 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:57.029238Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:17:16.204154Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:15:58.429612Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71f3e062-3ea0-4a6c-9e30-c022168f0dc5 · outbound

This paper cites write newline.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:53.696478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:53.696478Z digest=sha256:4778b3edb6c2fec376514ded8d7a8f7b6677c77d7324a72f9863ca9ea703eba1

Observation 963976c3-e5d4-4ace-8f7d-c5092b3f5c6e · outbound

This paper cites F., Solutions, T., 2011.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models F., Solutions, T., 2011

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:04.498359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 88f9aae1-bc9b-4284-91d2-119df8646db7 · outbound

This paper cites Uav laser scanning and photogrammetry of tum downtown campus.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Uav laser scanning and photogrammetry of tum downtown campus

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:04.326700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:53.937350Z digest=sha256:60ca96d4a29a1da7e4ef63c7370803a83b7e82309aa0d37e0d65090c60c18e81

Observation 3c9bc3db-8022-4ad4-89fd-9fc765e6d1e5 · outbound

This paper cites Three things everyone should know to improve object retrieval.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Three things everyone should know to improve object retrieval

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:04.156499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.058558Z digest=sha256:51b0af56521eccc4e03ee4d36145d49d31596fc835830ae471059cdc2d370b73

Observation 342ef95c-7746-4e84-afef-e032627ec9a1 · outbound

This paper cites Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:03.960828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.140313Z digest=sha256:0c02eeccf247faff093d068c88da7cc36a719700e25aff123ec00836c0bededd

Observation 984ee705-787e-4855-87dc-ac0e031d6045 · outbound

This paper cites Surf: Speeded up robust features.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Surf: Speeded up robust features

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:03.780270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.262914Z digest=sha256:83b0c239ece5c54c27982e009b5f25e9d0f340cfeb93e81304b908300f2ed242

Observation 5054bc22-85a8-4437-abe4-4ba9deec8bf1 · outbound

This paper cites MatchBench: An Evaluation of Feature Matchers.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models MatchBench: An Evaluation of Feature Matchers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:54.391142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:54.391142Z digest=sha256:23ef296dd671ceec0d83bf86d2b64b76078d46f63955ac9332dd8319bf94b702

Observation b6ea93bf-45b9-44ab-b74f-0a9eb7c4b2b3 · outbound

This paper cites Analyzing the Impact of Semantic LoD3 Building Models on Image-based Vehicle Localization.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Analyzing the Impact of Semantic LoD3 Building Models on Image-based Vehicle Localization

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:03.567090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.491677Z digest=sha256:c486f70ebe3b12789a756bb68bb9788decc83a0c53095b9fc376720e6b5ec853

Observation 550124b5-404a-4f55-b404-93fe37621d7d · outbound

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

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Superpoint: Self-supervised interest point detection and description

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:03.382167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.621963Z digest=sha256:086d629ff50f9064caca5e3c8f2db38e2018789a362e0487200d0730c084e8e2

Observation 65797110-64f2-4d0c-b396-329ec15e8a84 · outbound

This paper cites o ger, G., Kolbe, T. H., Nagel, C., H \.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models o ger, G., Kolbe, T. H., Nagel, C., H \

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:03.137326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.739307Z digest=sha256:0539420ce41033b2a39368329a920aa8dec0392d4fb1cbbe5b3e1d4c7a00d5ed

Observation e5c5316b-6e41-4572-8b39-9256bf9fd75f · outbound

This paper cites A survey of feature matching methods.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models A survey of feature matching methods

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:02.935764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.845209Z digest=sha256:b1799abdf08d9652c353bb673ef077b207e35db2613f8fa6944538ceb7f523bc

Observation 49683d13-ce9f-4eba-99e0-93d42390feb0 · outbound

This paper cites Lfm-3d: Learnable feature matching across wide baselines using 3d signals.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Lfm-3d: Learnable feature matching across wide baselines using 3d signals

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:02.651802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.963822Z digest=sha256:0be331d41eee65940ce6a074b9ef12a9bd3fcdd8e9b89b40257efae77395e3b6

Observation 4856e610-79b2-4b01-b7e5-74cc3060d016 · outbound

This paper cites H., Donaubauer, A., 2021.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models H., Donaubauer, A., 2021

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:02.341009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.068751Z digest=sha256:d9eea4bbbcf6700eddcee6747f0dac7df68078769fa1f36acf896d18bda3711e

Observation 998d90af-a314-4332-9a48-3e8c05a6b5ad · outbound

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

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Grounding image matching in 3d with mast3r

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:02.014648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.169546Z digest=sha256:86f4896149de2c4ce4c8cce6594eefa149bb04bf8056eca3ead009702677afcb

Observation edeb74ae-e77e-4441-947a-73b78e66ecf9 · outbound

This paper cites A robust O (n) solution to the perspective-n-point problem.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models A robust O (n) solution to the perspective-n-point problem

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:01.731348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.271752Z digest=sha256:33ac0f2b6beaa9e97b79983fe130fca0b8f3242371291f20f1a2505f789ba940

Observation f7d9ec7b-b885-4bc9-8331-4e0be15fb63a · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Megadepth: Learning single-view depth prediction from internet photos

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:01.311128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.339998Z digest=sha256:c8b51adaeb68a06d12bf84e86e95da62984263a4638f58d10b0575fb0fc77e00

Observation b240d122-c2b9-44bd-9318-aba88da7e886 · outbound

This paper cites L., 2014.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models L., 2014

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:00.911972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.435868Z digest=sha256:84366428dd4143ea6fd26631a1b1dc7ddb4eb986dd5b5eeb7d5c8ed7232f7f8e

Observation dcf379f6-0585-4cc7-bbd6-bea4b0e68694 · outbound

This paper cites Lightglue: Local feature matching at light speed.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Lightglue: Local feature matching at light speed

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:00.566345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.531570Z digest=sha256:45fc63ff36f905cacb049d2c7e27e9e70f6317403ce4983d69be71dab08f8aa7

Observation d10b4924-e3ec-4c42-8c0f-e581e05b2e38 · outbound

This paper cites S., Fanta-Jende, P., 2024.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models S., Fanta-Jende, P., 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:00.247807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.617441Z digest=sha256:0fc71c27c83c0ed505b91678095d7ebb332a44ce1d36b8a4d07db58d449caae9

Observation a3c789c5-783f-4607-8ebb-69e256119e23 · outbound

This paper cites G., 2004.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models G., 2004

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:59.977226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.701805Z digest=sha256:faaeb6d139ef88a3405fb6dceb7f2d764e572aac430f4552233082fce5882847

Observation e159b9db-4984-424a-b4d8-b8e9d0b2daed · outbound

This paper cites S., Sattler, T., Pollefeys, M., Jutzi, B., 2019.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models S., Sattler, T., Pollefeys, M., Jutzi, B., 2019

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:59.719091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.803492Z digest=sha256:cb9a44237f7dba6962ab657ec832eedcc31bbb904bacdd5761164ea825140f5d

Observation 67336deb-18cd-46af-8518-8509ccbcdab5 · outbound

This paper cites G., 2009.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models G., 2009

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:59.486709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.897687Z digest=sha256:a80722a481564a0082c4966feb8f3f91a13994a5576ffe815ab95b2f8bcf4246

Observation 50d27de4-f801-4b6b-a445-ec5b12386348 · outbound

This paper cites Meshloc: Mesh-based visual localization.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Meshloc: Mesh-based visual localization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:59.201290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.985560Z digest=sha256:893c9f4965d7a034b163689f4bdcee3bc706ee8950f6b22d2d9863689b9056a6

Observation 9110e192-b2e5-470b-b2f9-1c051d5897e9 · outbound

This paper cites Visual localization using imperfect 3d models from the internet.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Visual localization using imperfect 3d models from the internet

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.937956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.065449Z digest=sha256:19b46b43bc7d940db320a8152eac869dadb36c8d82d797152e3353ff0ac145c0

Observation 50d15c21-dd0c-43e4-bab6-58c7a3ef85ab · outbound

This paper cites GlueStick: Robust Image Matching by Sticking Points and Lines Together.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models GlueStick: Robust Image Matching by Sticking Points and Lines Together

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.621241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.133020Z digest=sha256:eb2f31a884a40427ee306c9b6e3f8dd3c6407be5a728e72bd275e75fbc4dceb3

Observation 03e927fe-15f1-4cdf-87c4-fbcd5eafcf55 · outbound

This paper cites Kornia: an open source differentiable computer vision library for pytorch.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Kornia: an open source differentiable computer vision library for pytorch

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.531960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.225904Z digest=sha256:f724600e0379394b2b34859001bb4e96fd901438eb40f73e27a747c3416880f8

Observation cce0ec41-308b-4df8-9539-1f2ecec8506a · outbound

This paper cites Orb: An efficient alternative to sift or surf.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Orb: An efficient alternative to sift or surf

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.410828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.330001Z digest=sha256:076b8cb6ea164fdd9915fe53e698b43104271d880acc581458f5965e2cab006f

Observation ca347bcb-09c7-4490-95c3-7dc30ed8dc38 · outbound

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

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Superglue: Learning feature matching with graph neural networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.259611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.403777Z digest=sha256:e178144f18a74b5262ab81f3106d3c4b2b4cd0535d789dfb72a67716bb6e03a3

Observation dd05fd61-7f7f-4013-bfd8-8bf0452a0d8a · outbound

This paper cites et al., 2018.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models et al., 2018

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:58.102307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.463467Z digest=sha256:01a7fffd629ea2de9bca535a45dda29bb2fa8e21990e23172cfc3ee480a18763

Observation 6b21636e-c9f1-4b9b-a8c6-6100d6295fd3 · outbound

This paper cites L., Frahm, J.-M., 2016.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models L., Frahm, J.-M., 2016

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.932286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.554977Z digest=sha256:5ac958f0d6e3d4f55a9cda2e9796d7d3554061379ab37a63406f2d9392da52f0

Observation 064e6eed-2d89-4025-a152-1047cda5efc0 · outbound

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

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Loftr: Detector-free local feature matching with transformers

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.796763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.644293Z digest=sha256:52472e4863a1892d4f54e0ed8d2092c5f1e0c7ec3727ab9f8fd80ed038f077e4

Observation 30c4917b-e6c1-40e0-9137-027694df46b6 · outbound

This paper cites DISK: Learning local features with policy gradient.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models DISK: Learning local features with policy gradient

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.647467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.741481Z digest=sha256:e180fdfd13eb71ef82019e7edeaba551db81abf67d643905926504eeaa31260d

Observation 22c6bb49-070f-43cb-a28d-bc3b5d6179b4 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Vggt: Visual geometry grounded transformer

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.532752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.817311Z digest=sha256:749fa36b8f705e8aaac26dfe221c77bb53a91f75b5b851fbdc489eea591fc11b

Observation 41c462f6-4ced-4821-aad6-3a262701649c · outbound

This paper cites H., 2024.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models H., 2024

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:56.895151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:56.895151Z digest=sha256:5f67ba021d74869fec8e4de28b07661d3dd1c7c33e4bdd0eafbeb508b437f0e1

Observation b5dd8a1d-04e2-4abb-b806-a19854d7bc1b · outbound

This paper cites TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:40:57.219834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.964113Z digest=sha256:c33365099037650543c747db0068cd9cf168ba37659f937c5087c618743c8e58

Observation f2ed098e-f314-4511-93ca-54424b68ec58 · outbound

This paper cites Local feature matching using deep learning: A survey.

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models Local feature matching using deep learning: A survey

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:57.396541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:57.029238Z digest=sha256:d4e4d5d8b95d0c6fa6172c32b744ac3b7445414afb968a159a14cc81319e27bf

Pith citing papers

Observation ccd2b286-ef60-4dd3-9878-2fa5b6edb307 · inbound

SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models cites this paper.

SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:15:58.431047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T02:17:16.204154Z digest=sha256:1e5bcf012112e5ec968a623d455150af242be0076a594298e1e9f60c17886439