Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributionally Robust Transfer Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.06534.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:51:05.279243Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:05:36.809956Z
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 7fb7646d-3d6b-4b48-bf9c-f754a7eb0a3c · inbound
U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms cites this paper.
U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms Distributionally Robust Transfer Learning
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:51:05.279243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fc437d5-b5d2-4906-bee9-ed506fcf5894 · inbound
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts cites this paper.
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts Distributionally Robust Transfer Learning
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:09:15.238284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36191b78-f4d0-4412-ac5d-7aa24299e6df · inbound
Sufficiency-principled Transfer Learning via Model Averaging cites this paper.
Sufficiency-principled Transfer Learning via Model Averaging Distributionally Robust Transfer Learning
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:40:48.665565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f376c436-099d-4cba-be16-4904f0b05958 · inbound
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework cites this paper.
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework Distributionally Robust Transfer Learning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:18:49.478019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50dada06-0857-47f3-a2fa-cfb59ff9dfc3 · inbound
Privacy-preserving Meta-analysis through Low-Rank Basis Hunting cites this paper.
Privacy-preserving Meta-analysis through Low-Rank Basis Hunting Distributionally Robust Transfer Learning
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:21:13.036866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bb1a834c-e4f1-4c2a-8bcf-c0ea3c880353 · inbound
Privacy-preserving Meta-analysis through Low-Rank Basis Hunting cites this paper.
Privacy-preserving Meta-analysis through Low-Rank Basis Hunting Distributionally Robust Transfer Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:05:36.812471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.