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Paper Citation Record · LEDGER

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.07400.

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

pith.paper-citation-record.v1
2211.07400 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:32:52.341656Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:14:28.295012Z

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 bc1a4b06-9e98-4c7f-ba04-d574b94f28eb · inbound

From Votes to Volatility Predicting the Stock Market on Election Day cites this paper.

From Votes to Volatility Predicting the Stock Market on Election Day Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:14:28.300256Z

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=2026-08-11T15:14:28.117191Z digest=sha256:a27a3c57862e873d73adb08b5fd7dff4a094da5ad7df8eb6dae0d0a5a5b59507

Observation fc4fd1e1-7d0a-4fa5-8f7e-a16386aff33b · inbound

QuantBench: Benchmarking AI Methods for Quantitative Investment cites this paper.

QuantBench: Benchmarking AI Methods for Quantitative Investment Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T10:32:52.341656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:32:52.341656Z digest=sha256:0cdec1a7639d90292976085b853e2478a32b028e5c4c3681323b4cca0d2082af