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Paper Citation Record · LEDGER

Point-Based Multi-View Stereo Network

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:1908.04422.

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

pith.paper-citation-record.v1
1908.04422 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:48:39.356867Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:24:25.037490Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:24:26.349091Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69c15e13-8123-4590-9dd1-738ed401816e · outbound

This paper cites Large-Scale Data for Multiple-View Stereopsis.

Point-Based Multi-View Stereo Network Large-Scale Data for Multiple-View Stereopsis

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:40.161838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c350f269-a466-4237-95b1-b5181c845e59 · outbound

This paper cites an unresolved cited work.

Point-Based Multi-View Stereo Network Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-14T13:48:40.149737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4e25213d-8b6e-4fb6-8dc5-11595775dd35 · outbound

This paper cites Silhouette and stereo fusion for 3d object modeling.

Point-Based Multi-View Stereo Network Silhouette and stereo fusion for 3d object modeling

Reference 3

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raw_fallback, observed 2026-08-14T13:48:40.137072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 060cafbe-b96a-4deb-8c44-068d2d815112 · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

Point-Based Multi-View Stereo Network A point set generation network for 3d object reconstruction from a single image

Reference 4

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no resolver link, observed 2026-08-14T13:48:39.068216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.068216Z digest=sha256:41bc0fce675c01800f64ee6f515a77dc575c3986150b4b53634c5aba40a1f664

Observation 909020ed-a52e-46c2-9369-51cc42fb077e · outbound

This paper cites Furukawa and J.

Point-Based Multi-View Stereo Network Furukawa and J

Reference 5

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raw_fallback, observed 2026-08-14T13:48:40.116203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.082133Z digest=sha256:5a8a339b6b71868e004c1ecf6498db26257a6d897f721076521ee3f3a0264eb3

Observation 51e7bbc3-9305-43df-8e96-a0cf971ce107 · outbound

This paper cites Gipuma: Massively parallel multi-view stereo reconstruction.

Point-Based Multi-View Stereo Network Gipuma: Massively parallel multi-view stereo reconstruction

Reference 6

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raw_fallback, observed 2026-08-14T13:48:40.025421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.122757Z digest=sha256:94368de9c73c1edab1cb0db72277b0ed5296260f8628b509bd7f7fddab9f9961

Observation 2656b132-b577-4dca-8b47-b8a88436741f · outbound

This paper cites Matchnet: Unifying feature and metric learning for patch-based matching.

Point-Based Multi-View Stereo Network Matchnet: Unifying feature and metric learning for patch-based matching

Reference 7

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.935491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.133727Z digest=sha256:c84566d3677f8cc80ae5c6e8bb68a2a0bc5a7c698e8331bd8b0fc4a221d9ad50

Observation df9cc22b-b9a6-4102-8dae-e9bce37f52a0 · outbound

This paper cites Deep residual learning for image recognition.

Point-Based Multi-View Stereo Network Deep residual learning for image recognition

Reference 8

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no resolver link, observed 2026-08-14T13:48:39.137669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.137669Z digest=sha256:28eca86725b292652e4f6431502f15dcef9ce716e757924614ec732287d7db96

Observation 1f677c9d-8871-4b6c-8e7a-23f4159b6aa9 · outbound

This paper cites Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding.

Point-Based Multi-View Stereo Network Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.853200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.141736Z digest=sha256:629fdd42cd2071dcfedc93a993c38e2e885dfc7bd880ff71e98640ebdc0722d3

Observation cef80c99-d96d-4d03-95dc-7d8b4a33d7b8 · outbound

This paper cites DeepMVS: Learning Multi-view Stereopsis.

Point-Based Multi-View Stereo Network DeepMVS: Learning Multi-view Stereopsis

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:48:39.449149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.146098Z digest=sha256:0bf36b94fea3bd78f9516afebbcf74d4e269148ca7b8c365830ff5f58a9c8de7

Observation dd4598f3-2d76-4fb0-aa1c-78247faf4ada · outbound

This paper cites DPSNet: End-to-end Deep Plane Sweep Stereo.

Point-Based Multi-View Stereo Network DPSNet: End-to-end Deep Plane Sweep Stereo

Reference 11

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raw_fallback, observed 2026-08-14T13:48:39.833428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.150970Z digest=sha256:383f6c97b2562cb1ba9438ae47d9f279c4cd1f16da71274480f677f6da798ca8

Observation 05875d11-c959-463b-affa-4bdc7907af41 · outbound

This paper cites SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis.

Point-Based Multi-View Stereo Network SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Reference 12

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no resolver link, observed 2026-08-14T13:48:39.155001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.155001Z digest=sha256:d14004fcc25043c788b81362bbc4d43525145879ea0351014dcfb5483485087f

Observation 21fb1379-38e9-4903-baaa-f917c501edb3 · outbound

This paper cites Learning a multi-view stereo machine.

Point-Based Multi-View Stereo Network Learning a multi-view stereo machine

Reference 13

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.822042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.160988Z digest=sha256:c2ddd1957bcf327b6522713695b731089ee5cc2b717eac6b6b0f62f2222e4e8f

Observation 394d4398-761f-4119-ac72-7acdc3ec8a40 · outbound

This paper cites End-to-end learning of geometry and context for deep stereo regression.

Point-Based Multi-View Stereo Network End-to-end learning of geometry and context for deep stereo regression

Reference 14

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raw_fallback, observed 2026-08-14T13:48:39.809010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.164900Z digest=sha256:1b4c24c86bb8d4f6ce18c9aaf88572b94e9798995dba305198fe409672449621

Observation dc707bea-7c1a-48e0-a792-ac3e42975f99 · outbound

This paper cites Tanks and Temples: Benchmarking Large-scale Scene Reconstruction.

Point-Based Multi-View Stereo Network Tanks and Temples: Benchmarking Large-scale Scene Reconstruction

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.797406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.168582Z digest=sha256:482a991ed055a340355b71ee74e859f8f389c63845dde15c8ba19a85496f08bd

Observation 5a114aff-a620-4229-ab2b-da22f60fc803 · outbound

This paper cites End-to-end training of hybrid cnn-crf models for stereo.

Point-Based Multi-View Stereo Network End-to-end training of hybrid cnn-crf models for stereo

Reference 16

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raw_fallback, observed 2026-08-14T13:48:39.785117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 61a7c0ca-15a0-4431-a05b-97838a8ddb27 · outbound

This paper cites A quasi-dense approach to surface reconstruction from uncalibrated images.

Point-Based Multi-View Stereo Network A quasi-dense approach to surface reconstruction from uncalibrated images

Reference 17

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raw_fallback, observed 2026-08-14T13:48:39.771693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.176750Z digest=sha256:0b8044cf2fc87ac20a568b6530095a9ceafb47f7fcb4e5a95809bb0abb41e33c

Observation dd017f31-9d66-464f-b86d-239b7ced4249 · outbound

This paper cites Owens, J.

Point-Based Multi-View Stereo Network Owens, J

Reference 18

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.759284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.180805Z digest=sha256:c3fbb5a21da5d8d32e54583716094098ba82d3eac933e1da6433ee8cd56c3306

Observation c14a88e0-c0a7-448f-8ee0-aa38029f42ef · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

Point-Based Multi-View Stereo Network PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 19

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no resolver link, observed 2026-08-14T13:48:39.184474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.184474Z digest=sha256:33fb8183b9445cf658a96427e6cabfe3392dc95c17534a7cd5968a9455093646

Observation 3b020fd5-6272-405f-a0c8-a09a7a593ae9 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Point-Based Multi-View Stereo Network PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 20

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no resolver link, observed 2026-08-14T13:48:39.190968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.190968Z digest=sha256:416f4c86ebab053b6627ba434ec220eb18ba6a9bc1aaec16e6c6c8d9819e104b

Observation a2b4244b-373c-4b56-82ee-eb2553fe0cd6 · outbound

This paper cites Octnet: Learning deep 3d representations at high resolutions.

Point-Based Multi-View Stereo Network Octnet: Learning deep 3d representations at high resolutions

Reference 21

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.748048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.195559Z digest=sha256:5f0c4551822a30acb456e4e4e7aa53ff22b56cd92bb025d92ae32a36135ee191

Observation 070a1816-cec4-40fc-8784-db7f82c560f0 · outbound

This paper cites Sgm-nets: Semi-global matching with neural networks.

Point-Based Multi-View Stereo Network Sgm-nets: Semi-global matching with neural networks

Reference 22

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.736177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.199567Z digest=sha256:7e4289fc049de074d82274a3d0eb531a773901ec56738333920a7e63f021f009

Observation ac4b22ba-b29a-46f4-8990-3c1552c122cb · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

Point-Based Multi-View Stereo Network BA-Net: Dense Bundle Adjustment Network

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.695479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.203800Z digest=sha256:2f48b34af13b3bce27d596e371e1e02e95ba9eeed87e9dd7fc1a89b4b7260f4d

Observation 0bb7f543-bbc9-4117-83d0-d8467070aac1 · outbound

This paper cites Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs.

Point-Based Multi-View Stereo Network Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.674750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.209737Z digest=sha256:b28fc737de855a21d6b7a0d6f5f7646870cd9974dcd85e79b4f4ce78fcaa95eb

Observation 4c6b3623-00d6-49e2-9f0e-d8d4e6bbb7dc · outbound

This paper cites Efficient Large-scale Multi-view Stereo for Ultra High-resolution Image Sets.

Point-Based Multi-View Stereo Network Efficient Large-scale Multi-view Stereo for Ultra High-resolution Image Sets

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.662894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.213452Z digest=sha256:d8bb5f8c79f336f3694ac8b0248742eee8b6841502ba7c212f6bb88a8c3503d3

Observation b4b5c1fb-2af1-43f2-a372-f2b5c8d0e00c · outbound

This paper cites Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency.

Point-Based Multi-View Stereo Network Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.651448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.217038Z digest=sha256:3cdfcfa88d7616ba32158077ad0165eb327bb27708e586be9f7e077d3115af2e

Observation f716a752-2f45-483f-a005-d06483382ce5 · outbound

This paper cites O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis.

Point-Based Multi-View Stereo Network O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Reference 27

Resolution
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raw_fallback, observed 2026-08-14T13:48:39.639906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.220649Z digest=sha256:0581a7b816356156857fd69285d1205d2ee46dfef75f50e2d4ac876c73abf662

Observation 7ae2ff7a-7325-46cf-a273-4ea036a67de6 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Point-Based Multi-View Stereo Network Dynamic Graph CNN for Learning on Point Clouds

Reference 28

Resolution
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no resolver link, observed 2026-08-14T13:48:39.224156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.224156Z digest=sha256:a6c0f5b1716e7c5050a3081c0efe146c05d2feda660a596faa7b62b3c7f33f87

Observation f891c57c-6c78-4576-8f4a-3186b4b6d511 · outbound

This paper cites MVSNet: Depth Inference for Unstructured Multi-view Stereo.

Point-Based Multi-View Stereo Network MVSNet: Depth Inference for Unstructured Multi-view Stereo

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:48:39.239955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:39.239955Z digest=sha256:eb1c524523deaa12b749f8ad560e0ec34175169d9aad41bed13c78bd9525cdbb

Observation 978539a1-7978-4c08-86d6-a721be08e2b8 · outbound

This paper cites Pu-net: Point cloud upsampling network.

Point-Based Multi-View Stereo Network Pu-net: Point cloud upsampling network

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.587941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.259661Z digest=sha256:ef22c6c163f19e768f2ff6bee8ffc43d478d54da39ea881080ccce62cbb72793

Observation 47ed421b-33fd-4452-8d53-c6830b6d1720 · outbound

This paper cites Transformesh: a topology-adaptive mesh-based approach to surface evolution.

Point-Based Multi-View Stereo Network Transformesh: a topology-adaptive mesh-based approach to surface evolution

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.513316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.287663Z digest=sha256:36f55596a248ef46ff2f9b236c61214744ee67dd66710105f7d0b9792cbc4936

Observation 98eed6b7-e9fe-4fec-b298-2c1cc802be8e · outbound

This paper cites Number of Point Hypotheses In this section, we conduct an ablation study to verify the influence of the number of point hypotheses.

Point-Based Multi-View Stereo Network Number of Point Hypotheses In this section, we conduct an ablation study to verify the influence of the number of point hypotheses

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.500203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.322934Z digest=sha256:1ec9ba513e6e19a81df9748521492e91d48339779cc7efce0ad9bae37b1b8348

Observation 33559e2e-6777-47bb-a4a7-4f293ca1fd85 · outbound

This paper cites Our method is able to predict different resolutions of depth maps at different speed by changing the iterations.

Point-Based Multi-View Stereo Network Our method is able to predict different resolutions of depth maps at different speed by changing the iterations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.488367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.348605Z digest=sha256:167ce03a2a8cff0da4515fee2b0ab6d9dd88dc1b1f16b8c894c1ae542667a5f9

Observation 83d58932-2cd5-4648-9a39-7e2d8ae0fb78 · outbound

This paper cites Similar to MVSNet [29], our post-processing is composed of three steps: photometric filtering, geometric consistency filtering, and depth fusion.

Point-Based Multi-View Stereo Network Similar to MVSNet [29], our post-processing is composed of three steps: photometric filtering, geometric consistency filtering, and depth fusion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.473283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.353498Z digest=sha256:00335a77b87f07f2ab2d1afa1e07a821f256f181335a99c67850ac857856d72d

Observation e3652d72-96b0-4b6f-8660-283c6f3c445b · outbound

This paper cites Point-MVSNet is able to reconstruct dense and accurate point clouds for all scenes.

Point-Based Multi-View Stereo Network Point-MVSNet is able to reconstruct dense and accurate point clouds for all scenes

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:48:39.461159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T13:48:39.356867Z digest=sha256:d12c90638603c991eae8e4c384cf080ca7443a21ccd7884bf1b17d992b641da0

Pith citing papers

Observation d235e7b8-c788-41b5-b615-2212970a4e41 · inbound

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks cites this paper.

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks Point-Based Multi-View Stereo Network

Reference 127

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local_arxiv, observed 2026-08-14T11:24:26.353695Z

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source=pdf_text observed=2026-08-14T11:24:25.037490Z digest=sha256:c486c20f95f864f1d80b384ee9c9da0efd21e9ed2d8f9b4558175ba09862d661