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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 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.058558Z digest=sha256:331cfaa44315383c24ca9c71523a5d66ecad33ac97be2746ad5a4ada6f654c43

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.140313Z digest=sha256:eae6dd418c3494f5b7963bf5382ef0d95d7372d5b05ea877c6656fa186843b51

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.262914Z digest=sha256:95976937e6b0d52a9201a8b97bb667e0f01e9117fd3175ab8f9ece56ba7a59b7

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=sha256:5bd08422a255a05f16eb409071a00ad4aad8ff60c5649b93945517d53764c1ee

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.491677Z digest=sha256:e1c3edc45ce65a13a30759501a24d1e3249cd7768732c32a72d008c45eeb1067

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.621963Z digest=sha256:02feb45cd5eccdd1ad4bfdee4094b6c589a1315a59f341f0032d1de8cf64ce6c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.739307Z digest=sha256:1d8f609f2b4c751825028c5b47ad8dcaa1bf94ca613cb204dbfb8ff50831bfdf

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.845209Z digest=sha256:268038e1d6ab4de3707b06911b42de1c255533bd37ec8cde982d3fd094cc6bef

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:54.963822Z digest=sha256:2d9c523b3ed31bb38573ca1888bc1665af4b6ba0c24d91dcdb6dd8d6f76edcac

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.068751Z digest=sha256:d6ca8b222a0f708ecf7ac9ca1779bafcfb7a8737226b3e16bc0e32b0410aba8c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.169546Z digest=sha256:63de7745707920ce11ed0b7228363c6f302577333b4b4890460bd70daeb883ac

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.271752Z digest=sha256:f64236fa31f96ef6ffb142a9da06523b6f8859c54fa705407239d0b2c6b21e54

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.339998Z digest=sha256:24455fe7f82d459006df4f0cba3adc2f94320b8876e00d255ac83337cad2eeb4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.435868Z digest=sha256:467993698cee03a919246c42fd341d973d46babe92e478e46cf3e20bcbc1c074

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.531570Z digest=sha256:d3894d6ce8ff241d39cd3ddcd45d2a5649e7d7d1621595ee604a2118c244fb82

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.617441Z digest=sha256:3773418becdf53c4024e6e63e5a814d1b4d4a2edf26e05f754e9a72710b63cd3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.701805Z digest=sha256:04f7836578fb353a3b4081416850841bebd8991b8c84240515cef76d919725d6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.803492Z digest=sha256:9f4de9888295a533a5a7a9a8e8e2c3b3d8efaaf0bca1cf65599fb07cd577e66b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.897687Z digest=sha256:09c2a3d7a310809379e977bd5af996c8937c01483bb1737fd6e1bc253f20ea3d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:55.985560Z digest=sha256:dac4f235f982c1eed10b40d2cf71965a1a1ca25d12124e7ae3500ae7a90f2418

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.065449Z digest=sha256:50d878691bdedba254d72fe566c965d9d620083212faa106cba1cd1b8436c6ff

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.133020Z digest=sha256:e182a824199a15b4ad8f8e28d7cda6cae8a4013ac0b9a3af63f0b8a5a6caa84f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.225904Z digest=sha256:b487850bcd73b9a114d1ffeb3044090534f8b078a378dff83a201ba933b8e525

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.330001Z digest=sha256:401479482c193c24b25a103613fe592f139463a87ec5a6bd0517f281dd7ec1ba

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.403777Z digest=sha256:56b14720a91502fcfb36f9a8a9a09defbcb467e565841785f0949344ff787e09

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.463467Z digest=sha256:91cd7a74b6998abb5f6963b7c07c35e0d3aab98625d5f6b50db113b6dcde65ae

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.554977Z digest=sha256:148b5e366c91d7a70ffeafcf8ba024cf42bd847b31b4a70e3939ee0528dcead7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.644293Z digest=sha256:89edd83ac698c80f6b8b447052230c00ac9dcf7dca95fb6827256faa19a245a9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.741481Z digest=sha256:a0d2f5f2ab96b97e7e06949703233d8438ef35c687dcc82e45c9379da12226b4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.817311Z digest=sha256:5d645ce8a13ec2d537f70afa77a6ee73d1513ef18e552c09d704377ef75b27e7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:56.964113Z digest=sha256:d52869fb04700aa23da0fddee5d51015f805e425c8ef573c7c2a67e5ad4e7ad1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:40:57.029238Z digest=sha256:f1e68840b3a7a76ce4754fe8db65a145dec78910ede7ccad6131c122596003ba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T02:17:16.204154Z digest=sha256:5192db35efccb929bb4a8a2ca2fbd35dff9b6b88deb85809e39ea2346a3d6bb6