Pith. sign in

Paper Citation Record · LEDGER

Shape Preserving Facial Landmarks with Graph Attention Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.07233.

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

pith.paper-citation-record.v1
2210.07233 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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:58:57.691639Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.853794Z

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 3cae0406-8603-4ce1-86af-be61e78881af · inbound

Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review cites this paper.

Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review Shape Preserving Facial Landmarks with Graph Attention Networks

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-09T12:58:57.691639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:58:57.691639Z digest=sha256:1e3497e29be2a17ef8ed492682272c8065c34fc7476d88da2f94f03128521086

Observation d9eb71c2-0d63-42a1-9ac0-0be0cd23aa39 · inbound

OpenFace 3.0: A Lightweight Multitask System for Comprehensive Facial Behavior Analysis cites this paper.

OpenFace 3.0: A Lightweight Multitask System for Comprehensive Facial Behavior Analysis Shape Preserving Facial Landmarks with Graph Attention Networks

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:04.665688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:04.665688Z digest=sha256:92a162c61dc0af843f55e8cf55182b7abe6e0cee4a7fc63920b38a04c84e9d83

Observation 53409458-3731-4031-b5e7-b72d5fe3f967 · inbound

Generalized Disguise Makeup Presentation Attack Detection Using an Attention-Guided Patch-Based Framework cites this paper.

Generalized Disguise Makeup Presentation Attack Detection Using an Attention-Guided Patch-Based Framework Shape Preserving Facial Landmarks with Graph Attention Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:13.642086Z

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.

source=pdf_text observed=2026-05-07T17:03:19.735363Z digest=sha256:0e1b6da956a338b8d136b28aecc4133416e39cc2a3f68188a3c8b6270458be8e

Observation ca04dd9c-eef7-4f8b-b36e-aeb3df72421a · inbound

NeoLoc-68: End-to-end 68-point neonatal facial landmark localisation in neonatal clinical environments cites this paper.

NeoLoc-68: End-to-end 68-point neonatal facial landmark localisation in neonatal clinical environments Shape Preserving Facial Landmarks with Graph Attention Networks

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:19:30.856081Z

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.

source=pdf_text observed=2026-06-26T18:13:27.477664Z digest=sha256:c52eb8f2bab267c9b9a31fcd1a08a4eb14fc461363749cdd29844e9d612f0a6b