Pith. sign in

Paper Citation Record · LEDGER

Deep Transfer Learning: Model Framework and Error Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.09383.

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

pith.paper-citation-record.v1
2410.09383 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:37.605837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:58:08.655221Z

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 08d6d16b-3d90-4740-a1b5-1e8ffdfe84ba · inbound

Residual Feature Integration is Sufficient to Prevent Negative Transfer cites this paper.

Residual Feature Integration is Sufficient to Prevent Negative Transfer Deep Transfer Learning: Model Framework and Error Analysis

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:11:43.822887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T15:10:24.596806Z digest=sha256:9c79ad9086cfdcbc68bce8bb93ce886e2cd86997276df4829105d36688261c21

Observation 8ceaad7b-599a-45fb-bbc4-2044067a8136 · inbound

A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation cites this paper.

A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation Deep Transfer Learning: Model Framework and Error Analysis

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:37.605837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:37.605837Z digest=sha256:85e980559073a443178259c595ed6eb92c4189700a50d1988f45dc102d16aa82

Observation 5ea0335c-c21d-4f63-be2c-b356950baa1b · inbound

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records cites this paper.

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records Deep Transfer Learning: Model Framework and Error Analysis

Reference 115

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T12:58:08.656653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T08:35:37.953328Z digest=sha256:27c1503e8a10947fb0767cdbebf9943f27cc40a19538a764c3b178c76d9aa69c

Observation 6aa420ca-5d52-40ef-829e-b0ed73f19de5 · inbound

Adaptive deep nonparametric regression from dependent data under covariate shift cites this paper.

Adaptive deep nonparametric regression from dependent data under covariate shift Deep Transfer Learning: Model Framework and Error Analysis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T10:18:30.378082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:18:30.378082Z digest=sha256:f7d9881d1ab956ccc3990579cda176c336f343e8601b536001ead7a489af5dd4