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Paper Citation Record · LEDGER

Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12634.

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

pith.paper-citation-record.v1
2404.12634 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:51.685012Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T06:00:00.232375Z

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 55b6b8bf-15b7-4e51-8787-5f4639b07115 · inbound

Detecting and Classifying Defective Products in Images Using YOLO cites this paper.

Detecting and Classifying Defective Products in Images Using YOLO Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:51.685012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:51.685012Z digest=sha256:cac4819a32c77b659576a8e3aa771bebc2519e3a6da2cb57d93e796e3ab6465f

Observation e1696ae0-5a5d-4292-8f39-5a82193d00f4 · inbound

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network cites this paper.

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:00.238416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:59:59.788943Z digest=sha256:357b27bd7bf13b1eef47ca853d6b1bffc5348467600d58e444c50a5ef5d34058