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Paper Citation Record · LEDGER

Meta-Auxiliary Learning for Micro-Expression Recognition

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12024.

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

pith.paper-citation-record.v1
2404.12024 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:46:03.781603Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:46:04.135483Z

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 e0889fbc-3095-4938-bde8-6798c6056081 · inbound

Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts cites this paper.

Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts Meta-Auxiliary Learning for Micro-Expression Recognition

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:46:04.146853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:46:03.781603Z digest=sha256:b8a130a4b2fbd959a3659d2dfab53aade5edd02df54aa7999188dd39942a2cff

Observation 74587ee0-6391-49d5-96df-24963d97c453 · inbound

Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis cites this paper.

Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis Meta-Auxiliary Learning for Micro-Expression Recognition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T19:27:52.000401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:52.000401Z digest=sha256:e5aa4f9b6149f17963e3e4727d9401ebfaff55473c45e1dbeea663e818035f6e