Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:40:47.795497Z
Paper Citation Record · LEDGER
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.19391.
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 2026-08-18T06:34:40.430872+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
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy12
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ec34a711-b286-47de-a01e-af78aa442e43 · outbound
This paper cites an unresolved cited work.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:40:48.089429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 19d15395-47d7-45e6-bfe9-0657ee756896 · outbound
This paper cites Deep domain confusion: Maximizing for domain invariance, 2014.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Deep domain confusion: Maximizing for domain invariance, 2014
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:48.074265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f0079fc-a8b6-4eca-98fb-8aa7e1dad012 · outbound
This paper cites Adversarial discriminative domain adaptation, 2017.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Adversarial discriminative domain adaptation, 2017
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:48.057451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82120ae1-db26-4ba0-bb19-54fe19176a22 · outbound
This paper cites Lecun, L.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Lecun, L
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:48.041452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7aa3e606-4421-4470-b6cd-ce08b37ae842 · outbound
This paper cites an unresolved cited work.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:40:48.024819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b58b526-75fe-47bf-a11c-af92ee90d85a · outbound
This paper cites an unresolved cited work.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:40:48.006083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e8102216-3fdd-4fbd-af1a-1a88c483a4da · outbound
This paper cites Kouw and Marco Loog.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Kouw and Marco Loog
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.989050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2e885dd4-7ffb-4e3d-88f3-3b29696f2e0b · outbound
This paper cites Hospedales.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Hospedales
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.971277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 44a81218-b805-43c8-ac39-633338d9dd37 · outbound
This paper cites Domain-adversarial train- ing of neural networks, 2016.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Domain-adversarial train- ing of neural networks, 2016
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.955351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e24b5233-9442-45a2-90d0-d2c6db53ed52 · outbound
This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.939541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb2544a5-10b1-45e8-a412-cffb271548dd · outbound
This paper cites Adversarial autoencoders,.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Adversarial autoencoders,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:40:47.772095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f6d910d-946a-4de1-90b5-c347dabab8ae · outbound
This paper cites Domain randomization for transferring deep neural networks from simulation to the real world, 2017.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Domain randomization for transferring deep neural networks from simulation to the real world, 2017
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.910204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bc5d5a28-b4f3-41eb-a397-4fc45ab74f5d · outbound
This paper cites Caffe: Convolutional architecture for fast feature embedding, 2014.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Caffe: Convolutional architecture for fast feature embedding, 2014
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.891244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1f5e9ac-c3f4-499c-9cfd-e60dfc8ebdf6 · outbound
This paper cites Kingma and Jimmy Ba.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Kingma and Jimmy Ba
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.871883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58e80adf-6f8f-4389-83cd-802d5ff3a8d2 · outbound
This paper cites Visualizing data using t-sne.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Visualizing data using t-sne
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.854248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1005e44c-f288-4025-979f-5ea7ec8afc83 · outbound
This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:40:47.835556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.