Paper Citation Record · LEDGER

SuperGlue: Learning Feature Matching with Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1911.11763.

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

pith.paper-citation-record.v1
1911.11763 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:48.222151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.215170Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8cccb5a9-b635-461e-848f-a65810526d95 · inbound

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction cites this paper.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.222151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92bbef9f-b426-405b-aefb-360799ecd84e · inbound

Accelerating SfM-based Pose Estimation with Dominating Set cites this paper.

Accelerating SfM-based Pose Estimation with Dominating Set SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:07.288545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8fdf8b9-6f6d-4152-954a-7df9d3404409 · inbound

ZeroReg3D: A Zero-shot Registration Pipeline for 3D Consecutive Histopathology Image Reconstruction cites this paper.

ZeroReg3D: A Zero-shot Registration Pipeline for 3D Consecutive Histopathology Image Reconstruction SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:44.762879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b9c414-b40c-49e2-8694-69212703cfbf · inbound

KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments cites this paper.

KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T15:40:44.126357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1d6c41-e43e-457e-9021-a07d6d064ae1 · inbound

Leveraging AV1 motion vectors for Fast and Dense Feature Matching cites this paper.

Leveraging AV1 motion vectors for Fast and Dense Feature Matching SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:32:25.809649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fcef43b-fa3c-470e-93d8-80aa92811b6f · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:15.540307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be9a4a85-2cb7-46ae-87ad-987d356ff37e · inbound

A Novel Computer Vision Approach for Assessing Fish Responses to Intrusive Objects in Aquaculture cites this paper.

A Novel Computer Vision Approach for Assessing Fish Responses to Intrusive Objects in Aquaculture SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.128701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05a0f6b8-9b3d-4f4f-ab95-1d8640798e34 · inbound

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM cites this paper.

DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.217187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 890a36d8-78fc-4966-8a70-7a44053069f7 · inbound

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching cites this paper.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:08.495655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.