Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:49:15.944729Z
Paper Citation Record · LEDGER
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.06580.
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 2026-08-23T06:30:58.430688+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
50 of 50 outbound references displayed
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- verified fuzzy43
- unresolved5
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cd6ed546-4045-45e2-baf7-ca5f240ed27f · outbound
This paper cites Pseudo-labeling and confirmation bias in deep semi-supervised learning.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Pseudo-labeling and confirmation bias in deep semi-supervised learning
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0699aae6-08e5-408a-9c41-8e2889d9c9d8 · outbound
This paper cites Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0c72d5dc-d6b1-41d4-8305-91094c12f4cd · outbound
This paper cites Adversarial robust- ness for unsupervised domain adaptation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Adversarial robust- ness for unsupervised domain adaptation
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation c4f1a452-76d6-418a-ba29-a1249910e793 · outbound
This paper cites Latent space regularization for unsupervised domain adaptation in semantic segmentation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Latent space regularization for unsupervised domain adaptation in semantic segmentation
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d8395bf4-94b0-40f1-931c-9619c8c9cc5d · outbound
This paper cites Convexity, classification, and risk bounds.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Convexity, classification, and risk bounds
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cd91e200-33a9-4da6-9be6-8e36dfc75139 · outbound
This paper cites Spectrally-normalized margin bounds for neural networks.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Spectrally-normalized margin bounds for neural networks
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 902ae8ff-2ebc-43e3-b304-bea8d32b2e6e · outbound
This paper cites A theory of learning from different domains.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification A theory of learning from different domains
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94703e67-b2b1-406b-83e6-9bdf0788a6d8 · outbound
This paper cites Two wrongs don’t make a right: Combating confirmation bias in learning with label noise.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Two wrongs don’t make a right: Combating confirmation bias in learning with label noise
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c43f4c0-f9de-4f73-a5c0-c7847bdaa6c6 · outbound
This paper cites Parseval networks: Improving robustness to adversarial examples.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Parseval networks: Improving robustness to adversarial examples
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2de40e1b-167c-42ee-842a-b7aa1dd7ede0 · outbound
This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse parameter- free attacks.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Reliable evaluation of adversarial robustness with an ensemble of diverse parameter- free attacks
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1a5977cb-d62f-42b0-a080-e908e19b28fb · outbound
This paper cites Vector analysis versus vector calculus.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Vector analysis versus vector calculus
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d47274f-c291-401b-a7a5-e6c8ca6a60fc · outbound
This paper cites Unsupervised domain adaptation by backpropagation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Unsupervised domain adaptation by backpropagation
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 17f1a637-5a3f-42a6-bd03-9e202473d38b · outbound
This paper cites Domain-adversarial training of neural networks.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Domain-adversarial training of neural networks
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8b48911b-51af-4071-bcfd-c925d5525434 · outbound
This paper cites Certifying better robust generalization for unsupervised domain adaptation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Certifying better robust generalization for unsupervised domain adaptation
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ea124dd7-7134-4be5-8a84-240f265d57da · outbound
This paper cites Reliable and efficient concept erasure of text- to-image diffusion models.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Reliable and efficient concept erasure of text- to-image diffusion models
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0581c5a4-34e9-41b7-8d8f-ea5934cbec59 · outbound
This paper cites Johansson, David Sontag, and Rajesh Ranganath.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Johansson, David Sontag, and Rajesh Ranganath
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4bbda792-682b-47e2-8528-40637476d4de · outbound
This paper cites Exactly computing the local lipschitz constant of relu networks.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Exactly computing the local lipschitz constant of relu networks
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94b08b1a-597a-4e92-8179-56db37184a71 · outbound
This paper cites Transfer-learning-library.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Transfer-learning-library
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 092734d7-3c96-4017-b84f-11af43386e8d · outbound
This paper cites R.a.c.e.: Ro- bust adversarial concept erasure for secure text-to-image dif- fusion model.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification R.a.c.e.: Ro- bust adversarial concept erasure for secure text-to-image dif- fusion model
Reference 19
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b8205790-bedb-48f4-b732-1ab4c39d90d4 · outbound
This paper cites an unresolved cited work.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e17b624e-df5e-4aba-a8b7-9813b7c8bbc0 · outbound
This paper cites Towards deep learning models resistant to adversarial attacks.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Towards deep learning models resistant to adversarial attacks
Reference 21
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 856cefa5-7639-43f2-995b-705bec0123a7 · outbound
This paper cites Understanding zero-shot adversarial robust- ness for large-scale models.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Understanding zero-shot adversarial robust- ness for large-scale models
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b65c1ce2-a27f-47dc-a107-cfed867a1e8e · outbound
This paper cites Foundations of Machine Learning.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Foundations of Machine Learning
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1ea836c3-9502-4931-bc9a-4f22ac0d5240 · outbound
This paper cites Sstn: Self- supervised domain adaptation thermal object detection for autonomous driving, 2021.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Sstn: Self- supervised domain adaptation thermal object detection for autonomous driving, 2021
Reference 24
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1f29d501-df34-43e1-bfa2-c92964451fc7 · outbound
This paper cites Visda: The visual domain adaptation challenge, 2017.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Visda: The visual domain adaptation challenge, 2017
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1bc03e60-a225-48a1-b151-def3d35d0cf7 · outbound
This paper cites Moment matching for multi-source domain adaptation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Moment matching for multi-source domain adaptation
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7196b3be-72a6-4526-8743-f8def693f30f · outbound
This paper cites Adapting visual category models to new domains.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Adapting visual category models to new domains
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 266f6f75-9e12-45d0-b0f0-680892fa31fe · outbound
This paper cites Do adversarially robust imagenet models transfer better? In Conference on Neural Information Processing Systems (NeurIPS), 2020.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Do adversarially robust imagenet models transfer better? In Conference on Neural Information Processing Systems (NeurIPS), 2020
Reference 28
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74d56eac-9b7b-484b-92ba-8b3412328fcd · outbound
This paper cites Robust clip: Unsupervised adversar- ial fine-tuning of vision embeddings for robust large vision- language models.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Robust clip: Unsupervised adversar- ial fine-tuning of vision embeddings for robust large vision- language models
Reference 29
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2f5c6c47-a581-4c5b-a6c8-84ed68910339 · outbound
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TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Efficiently computing local lipschitz con- stants of neural networks via bound propagation
Reference 30
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 50d28f45-b312-467a-9016-45334d359024 · outbound
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TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Domain adaptation: Challenges, methods, datasets, and applications
Reference 31
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 80c25c0a-5bd8-4dc8-942e-79b7ff984a28 · outbound
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TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Intriguing properties of neural networks
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c820883-bd54-433a-97cb-e499d2d0ca98 · outbound
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TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Upper and lower bounds for stochastic processes
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 242fb0b8-b309-4b70-b101-bd89b0d02c15 · outbound
This paper cites Multinet: Real-time joint se- mantic reasoning for autonomous driving, 2018.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Multinet: Real-time joint se- mantic reasoning for autonomous driving, 2018
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.172255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f0c40d23-92b8-4e64-b05c-980418e2bbe9 · outbound
This paper cites The robust way to stack and bag: the local Lipschitz way.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification The robust way to stack and bag: the local Lipschitz way
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 27877146-8ce7-47ce-b1ee-c6734fb8e6ec · outbound
This paper cites Are labels required for improving adversarial robustness? In Con- ference on Neural Information Processing Systems (NeurIPS),.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Are labels required for improving adversarial robustness? In Con- ference on Neural Information Processing Systems (NeurIPS),
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.160164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fd0d386c-997a-45da-b9f0-582731952a65 · outbound
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TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Deep hashing network for unsupervised domain adaptation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.149567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ca3a2833-9eb8-4865-a379-395f60322db6 · outbound
This paper cites Improving adversarial robustness requires revisiting misclassified examples.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Improving adversarial robustness requires revisiting misclassified examples
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.139102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ab2ca062-df76-4781-b21b-3272da74bb9d · outbound
This paper cites Do wider neural networks really help adversarial robust- ness? Advances in Neural Information Processing Systems, 34:7054–7067, 2021.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Do wider neural networks really help adversarial robust- ness? Advances in Neural Information Processing Systems, 34:7054–7067, 2021
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.127949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fbb7cb31-fc1d-45d8-a53c-1db0be9429c1 · outbound
This paper cites Enhanc- ing adversarial robustness in low-label regime via adaptively weighted regularization and knowledge distillation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Enhanc- ing adversarial robustness in low-label regime via adaptively weighted regularization and knowledge distillation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.115889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6f833370-b2cf-4048-92ea-085f45752bd9 · outbound
This paper cites Improving adversarial robustness by putting more regularizations on less robust samples.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Improving adversarial robustness by putting more regularizations on less robust samples
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.104360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 15c2efa9-abff-450a-9883-4da90f57b9f8 · outbound
This paper cites A closer look at accuracy vs.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification A closer look at accuracy vs
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.092282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0f414a13-8617-4553-aa36-711b6f817366 · outbound
This paper cites Rethinking lipschitz neural networks and certified robustness: A boolean function perspective.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Rethinking lipschitz neural networks and certified robustness: A boolean function perspective
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.080878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 42af3534-2e6d-4c1c-8fff-99e996f2445f · outbound
This paper cites Theoretically principled trade-off between robustness and accuracy.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Theoretically principled trade-off between robustness and accuracy
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.069037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 312131a6-0e38-4992-a41d-f08b5b3c349c · outbound
This paper cites an unresolved cited work.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Unresolved cited work
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3462c5d2-0616-41b7-9ae0-15f610016870 · outbound
This paper cites Srouda: meta self-training for robust unsupervised domain adaptation.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Srouda: meta self-training for robust unsupervised domain adaptation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.044498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f6b0f8ca-e54d-4502-a8ff-74e8d7d66161 · outbound
This paper cites an unresolved cited work.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:49:16.032084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5926efb1-d3b1-4a26-9d5a-c090e6a53780 · outbound
This paper cites Auxiliary Lemmas Lemma 1 (Lemma C.4 from Zhang et al.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Auxiliary Lemmas Lemma 1 (Lemma C.4 from Zhang et al
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:49:16.020407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a3ad1532-435b-42a5-88c1-e396f116a204 · outbound
This paper cites an unresolved cited work.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:49:16.008226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f0e8d7a0-781c-42a3-afd3-2bfb67f97486 · outbound
This paper cites Additionally, we perform supplemen- tary experiments to further support the effectiveness of our proposed method, TAROT.
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Additionally, we perform supplemen- tary experiments to further support the effectiveness of our proposed method, TAROT
Reference 50
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T22:49:15.997007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.