Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Transferable Features with Deep Adaptation Networks
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1502.02791.
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 2026-08-04T21:33:23.900799Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
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 1fcb5d5d-4087-4543-a6d3-83d69449f47e · inbound
Learning to learn with quantum neural networks via classical neural networks cites this paper.
Learning to learn with quantum neural networks via classical neural networks Learning Transferable Features with Deep Adaptation Networks
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T23:00:03.160892Z
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 1e89f2e8-02a0-4a72-a307-0a2a25454b00 · inbound
Remaining Useful Lifetime Prediction via Deep Domain Adaptation cites this paper.
Remaining Useful Lifetime Prediction via Deep Domain Adaptation Learning Transferable Features with Deep Adaptation Networks
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T20:26:20.992661Z
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 712b4d88-433d-4bd9-bf24-944438811317 · inbound
Unsupervised Domain Adaptation via Calibrating Uncertainties cites this paper.
Unsupervised Domain Adaptation via Calibrating Uncertainties Learning Transferable Features with Deep Adaptation Networks
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T16:06:15.381673Z
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 fd84e9a9-94d9-4add-a0dd-cc3d18a7353e · inbound
Environment Probing Interaction Policies cites this paper.
Environment Probing Interaction Policies Learning Transferable Features with Deep Adaptation Networks
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T15:39:38.259236Z
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 1dc81037-90ad-4f8c-ad2e-959d02bd2be0 · inbound
ACE and Diverse Generalization via Selective Disagreement cites this paper.
ACE and Diverse Generalization via Selective Disagreement Learning Transferable Features with Deep Adaptation Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:33:23.900799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad72ae81-5057-420d-a77f-b8f808bd17d7 · inbound
Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy cites this paper.
Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy Learning Transferable Features with Deep Adaptation Networks
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T15:56:13.445417Z
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 2e26a3f4-8996-450e-b1e1-defdbbe388d0 · inbound
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework cites this paper.
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Learning Transferable Features with Deep Adaptation Networks
Reference 90
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T04:25:19.121847Z
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.