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Paper Citation Record · LEDGER

Multi-channel Deep 3D Face Recognition

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.14743.

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

pith.paper-citation-record.v1
2009.14743 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:57:29.071737Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:39:47.636828Z

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 00e7215d-5213-4bda-8caa-f927cc5229f9 · inbound

GRAMA: Adaptive Graph Autoregressive Moving Average Models cites this paper.

GRAMA: Adaptive Graph Autoregressive Moving Average Models Multi-channel Deep 3D Face Recognition

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T16:57:29.071737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:57:29.071737Z digest=sha256:ee5613b3fecde649b1d7a502e7dea97c026be9022c60a8a28e28eddf1b2c1737

Observation 42b2b07b-d113-47a3-852c-0043d8d4c5cd · inbound

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows cites this paper.

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows Multi-channel Deep 3D Face Recognition

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:39:47.712915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:39:46.077368Z digest=sha256:a4c1c8e018ee7031a4c2ee788f3031356425e79ee7e3d9dec9ec40c5da6577be