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Paper Citation Record · LEDGER

Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12642.

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

pith.paper-citation-record.v1
2410.12642 v2

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 2026-08-12T18:41:44.563613Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:59:40.173467Z

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 c0bdc67d-9214-4894-828d-f7c75c7ff3d7 · inbound

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering cites this paper.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.563613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.563613Z digest=sha256:3066de80c62aadfd22ad448d876b8ae7243778ac80744a5714ed035b09d1e715

Observation 6780c677-3617-471d-9359-2f55a829b2ea · inbound

Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms cites this paper.

Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:59:40.179911Z

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=2026-08-11T04:59:39.902983Z digest=sha256:01b31bdd92d205d3457ffefa9c02cf4f0810ed4614777502c68bf52be4c1d3ac