Paper Citation Record · LEDGER

Transfer Learning Beyond Bounded Density Ratios

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.11963.

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

pith.paper-citation-record.v1
2403.11963 v1

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:12.651197Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:03:50.818162Z

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 b4dcdd80-d9ac-440c-80eb-d2d3927f9bcf · inbound

Phase Transition in Nonparametric Minimax Rates for Covariate Shifts on Approximate Manifolds cites this paper.

Phase Transition in Nonparametric Minimax Rates for Covariate Shifts on Approximate Manifolds Transfer Learning Beyond Bounded Density Ratios

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:12.651197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f31399-d1cf-4826-9919-8f9a3decc51b · inbound

A Semi-Supervised Kernel Two-Sample Test cites this paper.

A Semi-Supervised Kernel Two-Sample Test Transfer Learning Beyond Bounded Density Ratios

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:05.738341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76eb88ed-e815-4528-8adf-7f66dbcebcf5 · inbound

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift cites this paper.

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift Transfer Learning Beyond Bounded Density Ratios

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:56.902353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9243cd4-6ce5-4058-a2dd-329eefca9292 · inbound

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift cites this paper.

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift Transfer Learning Beyond Bounded Density Ratios

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:03:50.820675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.