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Paper Citation Record · LEDGER

Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.15600.

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

pith.paper-citation-record.v1
2405.15600 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:49.043433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:52:59.412198Z

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 324ab8e8-936b-45c9-8019-987ca27c2c46 · inbound

Generalized optimal parameter-transfer learning through Mallows-type model averaging cites this paper.

Generalized optimal parameter-transfer learning through Mallows-type model averaging Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:52:59.415263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T04:52:41.441434Z digest=sha256:4fd0ce0b5e69ea0b3322c706312af6bdd22a419b70f9103d3b7fb80407540688

Observation 152cdaed-e12b-4c3c-85ee-640d42ccbc4f · inbound

Sufficiency-principled Transfer Learning via Model Averaging cites this paper.

Sufficiency-principled Transfer Learning via Model Averaging Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T15:40:49.043433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:40:49.043433Z digest=sha256:c7ab71d0d09caeb1b48c38272fa0b9f4dee1f1d79dce9834d5f0d79e5ef1ae8f