Paper Citation Record · LEDGER

PyTorch Metric Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2008.09164.

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

pith.paper-citation-record.v1
2008.09164 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:58:32.301827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:58:15.316812Z

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 acdb6a43-f1cc-4124-8a51-026bc5ba5893 · inbound

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation cites this paper.

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation PyTorch Metric Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T23:58:32.301827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd17353-1095-4539-9d3f-13a79cd3f619 · inbound

On dataset transferability in medical image classification cites this paper.

On dataset transferability in medical image classification PyTorch Metric Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T23:34:56.060034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be918df-e36d-41a7-ab7c-db0027cd73b1 · inbound

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID cites this paper.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID PyTorch Metric Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.574784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd932466-0579-4ab4-8727-653500ba10f9 · inbound

AstroLoc: Robust Space to Ground Image Localizer cites this paper.

AstroLoc: Robust Space to Ground Image Localizer PyTorch Metric Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T14:10:56.126567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 843fa242-7bda-4055-92dd-738f94886cb1 · inbound

Complexity of Linear Regions in Self-supervised Deep ReLU Networks cites this paper.

Complexity of Linear Regions in Self-supervised Deep ReLU Networks PyTorch Metric Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:48.797340Z

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.

Observation f538b7eb-9d95-4485-a29e-28a2d684697c · inbound

Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels cites this paper.

Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels PyTorch Metric Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:58:15.318402Z

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.

Observation eeaa0c01-e731-4ee0-b236-e8e86f74a733 · inbound

Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning cites this paper.

Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning PyTorch Metric Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T09:44:25.492857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3bfeb2-3942-465c-aa5a-b6d13b2b08b6 · inbound

Face and Voice Cross-modal Association with Learning Convex Feature Embedding cites this paper.

Face and Voice Cross-modal Association with Learning Convex Feature Embedding PyTorch Metric Learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-31T16:58:29.563080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.