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Paper Citation Record · LEDGER

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.24046.

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

pith.paper-citation-record.v1
2410.24046 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:54:34.537574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:55:48.165436Z

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 99e826e0-94c2-44d0-8f1d-943368e0bcfd · inbound

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models cites this paper.

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T19:54:34.537574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:34.537574Z digest=sha256:689ea9c0dd0639d9ef55f219171a03f4e3f111c68c35c233bd144396e3fc3b37

Observation d090adbb-da58-48b9-89df-5a855e39da5b · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:55:48.171185Z

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=2026-08-11T14:55:48.075750Z digest=sha256:111ae74c80131547b0462ccfac68745eb98305dfaf851eae8a2e6a5435ff6a9b