Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transferability in Deep Learning: A Survey
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.05867.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T19:29:34.901868Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:46:49.150026Z
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 4f69a97e-d8a1-4837-adcf-1fa75c45c9e9 · inbound
From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping cites this paper.
From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping Transferability in Deep Learning: A Survey
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:57:02.997851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2818b661-57a6-4623-8fe0-c043728f4c0d · inbound
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock cites this paper.
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock Transferability in Deep Learning: A Survey
Reference 287
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T02:06:58.776994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 938627cf-50a8-4308-b79c-e1acf9490f73 · inbound
RADAR: Relative Angular Divergence Across Representations cites this paper.
RADAR: Relative Angular Divergence Across Representations Transferability in Deep Learning: A Survey
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:40:23.917574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 512ca432-4cd1-477a-a606-96fb850dee62 · inbound
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain cites this paper.
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain Transferability in Deep Learning: A Survey
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:32:34.903210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0a7ddf0-42e9-48b7-a24f-4e997d26c0b7 · inbound
X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation cites this paper.
X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation Transferability in Deep Learning: A Survey
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:46:49.151343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.