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Paper Citation Record · LEDGER

Visual Loop Closure Detection Through Deep Graph Consensus

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.21754.

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

pith.paper-citation-record.v1
2505.21754 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:24.505972Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy35
  • unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21c43214-2b70-4750-9de4-f67d0dd13c98 · outbound

This paper cites Hierarchical Open-V ocabulary 3D Scene Graphs for Language-Grounded Robot Navigation,.

Visual Loop Closure Detection Through Deep Graph Consensus Hierarchical Open-V ocabulary 3D Scene Graphs for Language-Grounded Robot Navigation,

Reference 1

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Observation bbad17ac-ca4e-418f-b459-9a720ad1cd7e · outbound

This paper cites N 2 m2: Learning navigation for arbitrary mobile manipulation motions in unseen and dynamic environments,.

Visual Loop Closure Detection Through Deep Graph Consensus N 2 m2: Learning navigation for arbitrary mobile manipulation motions in unseen and dynamic environments,

Reference 2

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Source-reported events for the cited work

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Observation 26065ae6-f9ee-442f-a509-a44a196f42c4 · outbound

This paper cites Language-grounded dynamic scene graphs for interactive object search with mobile manipulation,.

Visual Loop Closure Detection Through Deep Graph Consensus Language-grounded dynamic scene graphs for interactive object search with mobile manipulation,

Reference 3

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Observation 250a61b9-78dc-4c95-bfb4-c767071617b1 · outbound

This paper cites Tartanvo: A generalizable learning- based vo,.

Visual Loop Closure Detection Through Deep Graph Consensus Tartanvo: A generalizable learning- based vo,

Reference 4

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Source-reported events for the cited work

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Observation 0a35a6f5-84d4-47ed-bac3-c7f1074eab32 · outbound

This paper cites Covio: Online continual learning for visual-inertial odometry,.

Visual Loop Closure Detection Through Deep Graph Consensus Covio: Online continual learning for visual-inertial odometry,

Reference 5

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9ff5a21c-7470-4e13-a8b4-52448d186816 · outbound

This paper cites All about vlad,.

Visual Loop Closure Detection Through Deep Graph Consensus All about vlad,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6f2913c6-56a0-4f7d-aca9-a60d0c3dd721 · outbound

This paper cites Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing.

Visual Loop Closure Detection Through Deep Graph Consensus Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b82ea26-28a7-4960-abc9-623ba8ec25fb · outbound

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

Visual Loop Closure Detection Through Deep Graph Consensus Bags of binary words for fast place recognition in image sequences,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f3b26fa6-4307-4c78-bd6f-e56d4d93aa09 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

Visual Loop Closure Detection Through Deep Graph Consensus Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7d34a1e6-4545-4cb5-b5b7-713e0f244b24 · outbound

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

Visual Loop Closure Detection Through Deep Graph Consensus Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 10

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation de4f2c9a-e805-4de6-bca0-0303c25ab19e · outbound

This paper cites Hartley and A.

Visual Loop Closure Detection Through Deep Graph Consensus Hartley and A

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5227262e-6c88-48e2-899d-a6feb6cc9a97 · outbound

This paper cites Gv-bench: Benchmarking local feature matching for geometric verification of long-term loop closure detection,.

Visual Loop Closure Detection Through Deep Graph Consensus Gv-bench: Benchmarking local feature matching for geometric verification of long-term loop closure detection,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation eacdedbc-6a59-4e73-804d-5e222c07ce97 · outbound

This paper cites The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection,.

Visual Loop Closure Detection Through Deep Graph Consensus The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 71da5e42-990d-4f7f-bab4-f8ddabaa27c2 · outbound

This paper cites Loop closure detection for visual slam systems using convolutional neural network,.

Visual Loop Closure Detection Through Deep Graph Consensus Loop closure detection for visual slam systems using convolutional neural network,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7f0445c9-a815-428e-ab30-d6248cd97aeb · outbound

This paper cites Lightweight unsupervised deep loop closure,.

Visual Loop Closure Detection Through Deep Graph Consensus Lightweight unsupervised deep loop closure,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 14b3fa7e-896b-49c4-8ada-779bd9abdb57 · outbound

This paper cites 3d multi-object tracking using graph neural networks with cross-edge modality attention,.

Visual Loop Closure Detection Through Deep Graph Consensus 3d multi-object tracking using graph neural networks with cross-edge modality attention,

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 80fb4ad7-164c-49f4-b179-d43aafe48302 · outbound

This paper cites Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks,.

Visual Loop Closure Detection Through Deep Graph Consensus Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks,

Reference 17

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Observation 97c4e574-7534-43a7-b58e-78434b8126c3 · outbound

This paper cites University of michigan north campus long-term vision and lidar dataset,.

Visual Loop Closure Detection Through Deep Graph Consensus University of michigan north campus long-term vision and lidar dataset,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4f4154ac-d01c-4461-9080-619d509f8d77 · outbound

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

Visual Loop Closure Detection Through Deep Graph Consensus Orb: An efficient alternative to sift or surf,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 79496f32-2ad7-4a30-b5d4-07fd413a0d2d · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

Visual Loop Closure Detection Through Deep Graph Consensus Distinctive image features from scale-invariant keypoints,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation da338b6b-c4ec-441c-a511-62439f9208f7 · outbound

This paper cites Surf: Speeded up robust features,.

Visual Loop Closure Detection Through Deep Graph Consensus Surf: Speeded up robust features,

Reference 21

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f07e585-a2c3-4967-be05-bf1164acf3f9 · outbound

This paper cites Lift: Learned invariant feature transform,.

Visual Loop Closure Detection Through Deep Graph Consensus Lift: Learned invariant feature transform,

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e478f8d-f18b-42a4-848b-4209daf16372 · outbound

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

Visual Loop Closure Detection Through Deep Graph Consensus Superpoint: Self- supervised interest point detection and description,

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f9e6274c-a745-4ae8-b3d3-3bc4b99ca33c · outbound

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

Visual Loop Closure Detection Through Deep Graph Consensus Superglue: Learning feature matching with graph neural networks,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f8de268c-f01f-4c47-ab3b-efe272774331 · outbound

This paper cites Xfeat: Accelerated features for lightweight image matching,.

Visual Loop Closure Detection Through Deep Graph Consensus Xfeat: Accelerated features for lightweight image matching,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be1657a5-c562-4aa8-892e-388c04e85d6f · outbound

This paper cites RoMa: Robust Dense Feature Matching,.

Visual Loop Closure Detection Through Deep Graph Consensus RoMa: Robust Dense Feature Matching,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ba516a72-ab9a-4f8e-b98e-e42d2ade096f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Visual Loop Closure Detection Through Deep Graph Consensus DINOv2: Learning Robust Visual Features without Supervision

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a6a2b9f-d79d-4bf8-b340-e245babae11c · outbound

This paper cites Rethinking visual geo- localization for large-scale applications,.

Visual Loop Closure Detection Through Deep Graph Consensus Rethinking visual geo- localization for large-scale applications,

Reference 28

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raw_fallback, observed 2026-08-07T13:30:28.806312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8134a3e7-0a0a-4c7e-bcb3-56c4b3d8c314 · outbound

This paper cites Anyloc: Towards universal visual place recognition,.

Visual Loop Closure Detection Through Deep Graph Consensus Anyloc: Towards universal visual place recognition,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.324032Z digest=sha256:d8aa696e805e835ddcaec200d0f5d411d9d4985a2812dcb23f39a71e4a86f485

Observation b766ee03-a61b-4dbf-9cf1-e9bdf5f60645 · outbound

This paper cites Calc2.0: Combining appearance, semantic and geometric information for robust and efficient visual loop closure,.

Visual Loop Closure Detection Through Deep Graph Consensus Calc2.0: Combining appearance, semantic and geometric information for robust and efficient visual loop closure,

Reference 30

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raw_fallback, observed 2026-08-07T13:30:28.692635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.420325Z digest=sha256:d9b9ecb3e2b5f33d882d859e62c5d593d57e382bdf0e408e06beeae3ac53f307

Observation a7a3d37d-0ffe-4457-bdf7-feea5fea6853 · outbound

This paper cites Siamese-resnet: implementing loop closure detection based on siamese network,.

Visual Loop Closure Detection Through Deep Graph Consensus Siamese-resnet: implementing loop closure detection based on siamese network,

Reference 31

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raw_fallback, observed 2026-08-07T13:30:28.566347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.508891Z digest=sha256:97d094394be02b0cec2cd9266b4cd483397ad29a8e056bd7bc0d238e30ffa99f

Observation 9652bd24-3ca6-42c5-b865-5892cc7491d4 · outbound

This paper cites Semanticloop: Loop closure with 3d semantic graph matching,.

Visual Loop Closure Detection Through Deep Graph Consensus Semanticloop: Loop closure with 3d semantic graph matching,

Reference 32

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raw_fallback, observed 2026-08-07T13:30:28.255223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.644760Z digest=sha256:506ec6103af5c3768dcc272feecc39d6dee14241ab52b5c0a032d62cfd0fe168

Observation b5477354-877f-49ee-83e3-ededb34a24bc · outbound

This paper cites Fast and incremental loop closure detection using proximity graphs,.

Visual Loop Closure Detection Through Deep Graph Consensus Fast and incremental loop closure detection using proximity graphs,

Reference 33

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raw_fallback, observed 2026-08-07T13:30:27.846073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.719252Z digest=sha256:d39c15eb9247e5feba2a6b9fd817f450b90ba3ee7a6c9d34e5420db15b5c5c2b

Observation fac4df72-3889-4d83-8563-9eea17c991b9 · outbound

This paper cites Towards accurate loop closure detection in semantic slam with 3d semantic covisibility graphs,.

Visual Loop Closure Detection Through Deep Graph Consensus Towards accurate loop closure detection in semantic slam with 3d semantic covisibility graphs,

Reference 34

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raw_fallback, observed 2026-08-07T13:30:27.580017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.817644Z digest=sha256:20ce0c324c6a058a918a1904f493e626829bb06d376bdae86c99e67ea137ba20

Observation 4ebfb156-cb2e-4d2e-912b-4ad286d3a1b2 · outbound

This paper cites Deep pose graph-matching-based loop closure detection for semantic visual slam,.

Visual Loop Closure Detection Through Deep Graph Consensus Deep pose graph-matching-based loop closure detection for semantic visual slam,

Reference 35

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raw_fallback, observed 2026-08-07T13:30:27.194958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.945779Z digest=sha256:2e6261e4033bcf1d9123ff82d57944c5e7019431e2e2cc18c35d53ed3d9daa88

Observation ce624fab-a0eb-4e06-b05a-09bfba43612b · outbound

This paper cites Closing the loop: Graph networks to unify semantic objects and visual features for multi-object scenes,.

Visual Loop Closure Detection Through Deep Graph Consensus Closing the loop: Graph networks to unify semantic objects and visual features for multi-object scenes,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:26.964831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:23.995370Z digest=sha256:d3b9a2e1db15c8886f1bca59fd6fde3bb4ae5cfe2e007ffa356c944fb020de73

Observation 4f7591dd-3c8d-45ee-a9a7-18b4cb87c6a5 · outbound

This paper cites Switchable constraints for robust pose graph slam,.

Visual Loop Closure Detection Through Deep Graph Consensus Switchable constraints for robust pose graph slam,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:26.515039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:24.079270Z digest=sha256:42f9d96e0f9306ce822bfeade59fec8e2b5a362093adfbbd6d69da106f966863

Observation 71685e17-9880-4fb4-b77a-938179208959 · outbound

This paper cites Modeling perceptual aliasing in slam via discrete–continuous graphical models,.

Visual Loop Closure Detection Through Deep Graph Consensus Modeling perceptual aliasing in slam via discrete–continuous graphical models,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:24.161290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:24.161290Z digest=sha256:6216e5b245caa902d1541c0014484933dc4948c72b2fd41a5589045b833a4b47

Observation 33969295-4ee6-48a8-a3a4-e02a0287fe35 · outbound

This paper cites A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors.

Visual Loop Closure Detection Through Deep Graph Consensus A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:24.218919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:24.218919Z digest=sha256:2f991b284589f7143948cbcd3730b1fd4fc9a0e971e1f82f7d8396f59f56dbba

Observation 94aac75c-5362-47c4-8961-21d6bf42c75b · outbound

This paper cites Graph Attention Networks,.

Visual Loop Closure Detection Through Deep Graph Consensus Graph Attention Networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:26.125024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:24.276184Z digest=sha256:a6a5d8c948808851b3b930188ebab2369db5471c68499480f5f321804f50a820

Observation c200b1ab-d6f9-4a4d-9353-c7e5bc0e1e1b · outbound

This paper cites Lisa: Lidar localization with semantic awareness,.

Visual Loop Closure Detection Through Deep Graph Consensus Lisa: Lidar localization with semantic awareness,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:25.807188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:24.346970Z digest=sha256:fdccafe242efc9a711cf411c6d9335f6fdafe206957397bde590194f5feec958

Observation c5fc3544-8256-4f0e-b0bc-f172e8060d74 · outbound

This paper cites Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,.

Visual Loop Closure Detection Through Deep Graph Consensus Aliked: A lighter keypoint and descriptor extraction network via deformable transformation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:25.372592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:30:24.505972Z digest=sha256:ded8449f56fbd0e410899cc5c276d3c3448198cbf9796740f70c11d3c769862a

Pith citing papers

No inbound Pith citation observations are available.