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Paper Citation Record · LEDGER

MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.15485.

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

pith.paper-citation-record.v1
2403.15485 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T23:06:01.107830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:06:52.963614Z

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 bd92b6b4-5d65-44ca-8e62-fe85e636d934 · inbound

AI Models for Depressive Disorder Detection and Diagnosis: A Review cites this paper.

AI Models for Depressive Disorder Detection and Diagnosis: A Review MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:06:52.965650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T23:06:01.107830Z digest=sha256:b8ce0115c4dd146df6fdd973c23abf78fae901c422b9221413175d3adb7008f8