Paper Citation Record · LEDGER

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1905.03561.

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

pith.paper-citation-record.v1
1905.03561 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:39.828656Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T14:57:03.785704Z

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 99ea383f-e508-4580-a3c2-4023338cf14c · inbound

Relative Pose Estimation through Affine Corrections of Monocular Depth Priors cites this paper.

Relative Pose Estimation through Affine Corrections of Monocular Depth Priors D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:39.828656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77ac650-07aa-4029-9a1e-b85f65a578ce · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:43:15.403264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8db506ae-ad51-4b56-b096-6d62e684dea9 · inbound

Landscape-Awareness for Geometric View Diffusion Model cites this paper.

Landscape-Awareness for Geometric View Diffusion Model D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:53:04.554112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 636e1806-5a33-4ecf-933b-02c86b4e5100 · inbound

EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization cites this paper.

EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T14:57:03.787306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.