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Paper Citation Record · LEDGER

Exploring Adversarial Robustness of Deep Metric Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.07265.

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

pith.paper-citation-record.v1
2102.07265 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:29.416088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:30:22.191552Z

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 6f541f0e-9002-4916-be9a-02551f7ff008 · inbound

Towards Adversarially Robust Deep Metric Learning cites this paper.

Towards Adversarially Robust Deep Metric Learning Exploring Adversarial Robustness of Deep Metric Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:40:29.416088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:29.416088Z digest=sha256:2109894f700c1daa8913603ed14d1eaaa91f3514accb8be52d4449cacb490ba2

Observation 69054c3a-fe4d-4819-9414-e81999e6b297 · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Exploring Adversarial Robustness of Deep Metric Learning

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T17:30:22.196449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T17:30:21.493754Z digest=sha256:fe1decc5a1ce42a71b7e45fac0df5ae9f1cfbcac687508546cef91da3fce53bf