Pith. sign in

Paper Citation Record · LEDGER

Stock Chart Pattern recognition with Deep Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.00418.

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

pith.paper-citation-record.v1
1808.00418 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:42:42.562291Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:16:17.926450Z

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 5edd0c61-cd57-428c-bef6-f6936b774048 · inbound

Investigating Market Strength Prediction with CNNs on Candlestick Chart Images cites this paper.

Investigating Market Strength Prediction with CNNs on Candlestick Chart Images Stock Chart Pattern recognition with Deep Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:23:48.381579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T17:23:48.295994Z digest=sha256:4a1d4f087d900daf1a4974d370da2a6049f38b151ad9514e94840b770ca8baf1

Observation 44c3f4d1-f544-49d9-8bf9-d19a5b3f3102 · inbound

Exploring Diffusion Models for Generative Forecasting of Financial Charts cites this paper.

Exploring Diffusion Models for Generative Forecasting of Financial Charts Stock Chart Pattern recognition with Deep Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:42.562291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:42:42.562291Z digest=sha256:9145a25fd11b24e264a75998d15a97fd1dd4015e51aaf3484370b25081983fcc