Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:53.416936Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.09091.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:53.416936Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0ec7a7f7-d492-416b-addb-6a6db513ac9f · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Meta-Learning for Few-Shot Land Cover Classification
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b121eed-a053-4f9f-b21c-e7ee1268466a · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Unresolved cited work
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 32e353ae-f252-4294-90da-98d747889c12 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Hughes and Marcel Salath
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c8ee5f11-e78c-46cf-86a6-02be4521d5b4 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d7b6cca4-b83e-4aa1-9cf7-7aac737380df · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset 2009 IEEE conference on computer vision and pattern recognition , pages =
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 05c29922-0810-4faf-a622-7fde8a441b2b · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset 2009 , type =
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6e46714d-c994-4cd4-9d5f-65cbd98fb221 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Microsoft COCO: Common Objects in Context
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 707b853b-4c70-41a9-85f7-a9b63ef407de · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset An online database for plant image analysis software tools , journal =
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eb401a73-6cad-4f5c-b9ec-1cff663c736c · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 614285cb-96bf-4267-b0ad-2596edabcd3c · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Learning multiple layers of features from tiny images , year =
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cc678e4-ffd8-4a8f-91f1-b7b2e1f48c4e · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Using Pre-Training Can Improve Model Robustness and Uncertainty
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e5eb6a4-4153-40fb-b0b5-238efefe04a5 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d4f456af-8efc-4a39-88fe-d229aec6eb5a · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 505b3263-5b26-4641-9751-b5b1cb9bc497 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation daa71cf9-f772-4379-b5e0-4cb8bd549d44 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Efficiently Identifying Task Groupings for Multi-Task Learning
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 230ad801-34bc-47fc-bf27-2f99e8614178 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset What is being transferred in transfer learning?
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f6dfc14-3ef1-47a8-bac1-87de6b18e576 · outbound
TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Similarity of Neural Network Representations Revisited
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.