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Paper Citation Record · LEDGER

CosFace: Large Margin Cosine Loss for Deep Face Recognition

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1801.09414.

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

pith.paper-citation-record.v1
1801.09414 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:06:36.954441Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:29:37.312892Z

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 08e8680e-6a72-41d3-a462-b1825baf983e · inbound

Using predefined vector systems to speed up neural network multimillion class classification cites this paper.

Using predefined vector systems to speed up neural network multimillion class classification CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:53:23.436414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-13T22:50:23.083429Z digest=sha256:c58f4a73e9fdf745fdc8f2ae7ed91e8110c2d7d4501b6d2fc184678b8fb5d115

Observation 6cc633bf-e555-40a7-8c85-371830e081da · inbound

Find the Differences: Differential Morphing Attack Detection vs Face Recognition cites this paper.

Find the Differences: Differential Morphing Attack Detection vs Face Recognition CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.811771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-10T11:33:31.659337Z digest=sha256:29aae0bb59815e77ef67c036aa6fc32a5749a11e677b95d1acaa5556b8308066

Observation a7645d4c-f580-4b4b-a089-8b29fb2eb265 · inbound

Personalized Face Privacy Protection From a Single Image cites this paper.

Personalized Face Privacy Protection From a Single Image CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.778266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-20T10:59:29.178550Z digest=sha256:53062d632518abfb369bb38ee220baf73534c81c50171e3881a00ea6ab0cea4d

Observation 50ad223c-4f28-4738-8880-741cb6195f5f · inbound

Adaptive Calibration for Fair and Performant Facial Recognition cites this paper.

Adaptive Calibration for Fair and Performant Facial Recognition CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:06:44.687284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-28T07:06:36.954441Z digest=sha256:454d24b21f0e9abba98bd2280063af81d0c071f40e87a5200c6be946285eaa0e

Observation b3decad8-d467-44c1-8329-21786b390482 · inbound

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning cites this paper.

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:29:37.315471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:3628954afe2798d9dd6434048864938c4bab6d99404644a1600d76d37efc56e5