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Paper Citation Record · LEDGER

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm

As of 18 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2504.12750.

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

pith.paper-citation-record.v1
2504.12750 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:11.838982Z

measured 5 of 5 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 737dec61-2a59-4c80-8bcd-205943ddd30f · outbound

This paper cites Spatial function-on-function regression.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm Spatial function-on-function regression

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T12:30:11.891305Z

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=2026-08-16T12:30:11.824213Z digest=sha256:7742c0fe15cd2253843ee41f4e6bce934a3a27b4f596cf7bc01d02a8ba786656

Observation ebe61767-227c-4718-bca6-bdb556038f7f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm Adam: A Method for Stochastic Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:11.835632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:11.835632Z digest=sha256:095740ae1c243b67579cc496e6036a5bdaa0ca9a380f6cdbc51288f01d9f2984

Observation baade960-c487-4981-ab49-b496c676a47c · outbound

This paper cites and Wang, S.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm and Wang, S

Reference 1680

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:11.902873Z

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=2026-08-16T12:30:11.832221Z digest=sha256:fac2f1ec080c5daebadf7fe3a0f683a99101a6637bc74790373cae44b6f822b2

Observation 861e98be-530e-452b-8de0-bafc5caf45bb · outbound

This paper cites and Mallows, C.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm and Mallows, C

Reference 2376

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:30:11.913356Z

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=2026-08-16T12:30:11.828826Z digest=sha256:b2aaa63961ffc112a634f3d71742932703d7c7e98bf4cbfb8af815432cac1637

Observation 1d9b7db4-e621-41aa-8047-85ca960fab7f · outbound

This paper cites An overview of gradient descent optimization algorithms.

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm An overview of gradient descent optimization algorithms

Reference 4946

Resolution
unresolved
no resolver link, observed 2026-08-16T12:30:11.838982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:30:11.838982Z digest=sha256:a6f603673ed975c9dbfb8693db65790015509904a03f9b467bd7f7d3c4442c46

Pith citing papers

No inbound Pith citation observations are available.