Paper Citation Record · LEDGER

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation

As of 5 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2603.22908.

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pith.paper-citation-record.v1
2603.22908 v3

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External citation measurements

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Outbound references

Observation 36eb3f0e-824b-4f3c-8814-12fa40a56095 · outbound

This paper cites Transfer adaptation learning: A decade survey.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Transfer adaptation learning: A decade survey

Reference 1

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This paper cites Domain-invariant feature enhancement domain adaptation for cross-scene road damage detection.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Domain-invariant feature enhancement domain adaptation for cross-scene road damage detection

Reference 2

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Observation 64bb73d7-48ad-4232-b92c-f5cbbb574ba5 · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 3

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This paper cites Adversarial source generation for source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Adversarial source generation for source-free domain adaptation

Reference 4

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This paper cites Domain-division based progressive learning for source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Domain-division based progressive learning for source-free domain adaptation

Reference 5

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Observation 4d2caef0-5f77-4db2-8aeb-78f8a4c8402f · outbound

This paper cites Generative adversarial nets.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Generative adversarial nets

Reference 6

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Observation c58ab021-bd67-44e6-a563-d368b47c1d35 · outbound

This paper cites Dine: Domain adaptation from single and multiple black-box predictors.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Dine: Domain adaptation from single and multiple black-box predictors

Reference 7

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This paper cites GPT-4 Technical Report.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation GPT-4 Technical Report

Reference 8

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Observation 5c0caf4b-89c1-4c4c-b9db-8674c2a3d7a7 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Distilling the Knowledge in a Neural Network

Reference 9

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Observation 7d6c447a-7310-4db1-80d7-fb6f87b2c87d · outbound

This paper cites Unsupervised domain adaptation of black-box source models.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Unsupervised domain adaptation of black-box source models

Reference 10

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Observation 0e36a022-6b36-462d-bc3e-a2a77a587018 · outbound

This paper cites RAIN: regularization on input and network for black-box domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation RAIN: regularization on input and network for black-box domain adaptation

Reference 11

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Observation 288d5366-1a8b-4a25-b017-f85a25aec129 · outbound

This paper cites Adversarial experts model for black-box domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Adversarial experts model for black-box domain adaptation

Reference 12

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This paper cites Clip-guided black-box domain adaptation of image classification.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Clip-guided black-box domain adaptation of image classification

Reference 13

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Observation 21cfb828-c412-4702-b50d-801112a915a6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Learning transferable visual models from natural language supervision

Reference 14

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Observation 8f6fe2d9-2d3e-41e7-b218-8ba4301cd7f1 · outbound

This paper cites Learning transferable features with deep adaptation networks.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Learning transferable features with deep adaptation networks

Reference 15

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This paper cites Unsupervised domain adaptation with residual transfer networks.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Unsupervised domain adaptation with residual transfer networks

Reference 16

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This paper cites Domain-adversarial training of neural networks.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Domain-adversarial training of neural networks

Reference 17

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This paper cites Domain prompt tuning via meta relabeling for unsupervised adversarial adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Domain prompt tuning via meta relabeling for unsupervised adversarial adaptation

Reference 18

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This paper cites Wdan: A weighted discriminative adversarial network with dual classifiers for fine-grained open-set do- main adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Wdan: A weighted discriminative adversarial network with dual classifiers for fine-grained open-set do- main adaptation

Reference 19

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Observation f1b685da-aeaf-4171-a9c5-e14880f86803 · outbound

This paper cites Textadapter: Self-supervised domain adaptation for cross-domain text recognition.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Textadapter: Self-supervised domain adaptation for cross-domain text recognition

Reference 20

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This paper cites Self-ensembling for visual domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Self-ensembling for visual domain adaptation

Reference 21

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This paper cites Contrastive adaptation network for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Contrastive adaptation network for unsupervised domain adaptation

Reference 22

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This paper cites Independent feature decomposition and instance alignment for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Independent feature decomposition and instance alignment for unsupervised domain adaptation

Reference 23

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This paper cites Enhancing multi-source open-set domain adaptation through nearest neighbor classification with self-supervised vision transformer.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Enhancing multi-source open-set domain adaptation through nearest neighbor classification with self-supervised vision transformer

Reference 24

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This paper cites Progressive curriculum learning with teacher-student collaboration for source-free unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Progressive curriculum learning with teacher-student collaboration for source-free unsupervised domain adaptation

Reference 25

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This paper cites Consistency regularization for generalizable source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Consistency regularization for generalizable source-free domain adaptation

Reference 26

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This paper cites Source-free domain adaptation with class prototype discovery.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Source-free domain adaptation with class prototype discovery

Reference 27

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This paper cites Source- free domain adaptation via avatar prototype generation and adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Source- free domain adaptation via avatar prototype generation and adaptation

Reference 28

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This paper cites Source-free domain adaptation guided by vision and vision-language pre-training.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Source-free domain adaptation guided by vision and vision-language pre-training

Reference 29

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This paper cites Proxy denoising for source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Proxy denoising for source-free domain adaptation

Reference 30

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This paper cites Reviewing the forgotten classes for domain adaptation of black-box predictors.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Reviewing the forgotten classes for domain adaptation of black-box predictors

Reference 31

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This paper cites A separation and alignment framework for black-box domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation A separation and alignment framework for black-box domain adaptation

Reference 32

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This paper cites Black-box unsupervised domain adaptation with bi-directional atkinson-shiffrin memory.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Black-box unsupervised domain adaptation with bi-directional atkinson-shiffrin memory

Reference 33

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This paper cites Vision-language models for vision tasks: A survey.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Vision-language models for vision tasks: A survey

Reference 34

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 35

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This paper cites Reproducible scaling laws for contrastive language-image learning.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Reproducible scaling laws for contrastive language-image learning

Reference 36

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This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 37

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This paper cites A new data augmentation method based on mixup and dempster-shafer theory.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation A new data augmentation method based on mixup and dempster-shafer theory

Reference 38

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This paper cites Temporal ensembling for semi-supervised learn- ing.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Temporal ensembling for semi-supervised learn- ing

Reference 39

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This paper cites Clip-adapter: Better vision-language models with feature adapters.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Clip-adapter: Better vision-language models with feature adapters

Reference 40

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This paper cites Learning to prompt for vision- language models.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Learning to prompt for vision- language models

Reference 41

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This paper cites Deep clustering for unsupervised learning of visual features.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Deep clustering for unsupervised learning of visual features

Reference 42

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This paper cites Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer

Reference 43

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This paper cites Maximum classifier discrepancy for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Maximum classifier discrepancy for unsupervised domain adaptation

Reference 44

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This paper cites Homeomor- phism alignment for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Homeomor- phism alignment for unsupervised domain adaptation

Reference 45

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This paper cites Domain adaptation via prompt learning.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Domain adaptation via prompt learning

Reference 46

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Observation fd30e1ee-5d6e-4066-8215-b8bb4fe89c08 · outbound

This paper cites Prompt-based distribution alignment for unsupervised domain adapta- tion.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Prompt-based distribution alignment for unsupervised domain adapta- tion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.891551Z

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Observation e31e8b28-3c97-4eae-bfff-2af849f6025c · outbound

This paper cites Bridging domain spaces for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Bridging domain spaces for unsupervised domain adaptation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.893268Z

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Observation 8d771a21-4238-4fda-b0a1-cbc0199a850d · outbound

This paper cites Attracting and dispersing: A simple approach for source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Attracting and dispersing: A simple approach for source-free domain adaptation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.902512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1fff836d-0a86-4115-be11-56900bccb2f4 · outbound

This paper cites Source- free domain adaptation via target prediction distribution searching.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Source- free domain adaptation via target prediction distribution searching

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.886000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d2bc60d-54ad-4b77-afc9-515bf4ae5459 · outbound

This paper cites Dual transferable knowledge interaction for source-free domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Dual transferable knowledge interaction for source-free domain adaptation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.884005Z

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Observation 1d924834-6ddd-4ef0-b31f-104a20b844a5 · outbound

This paper cites Leveraging multi-level regularization for efficient domain adaptation of black-box predictors.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Leveraging multi-level regularization for efficient domain adaptation of black-box predictors

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.934237Z

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Observation 121bd60d-97b0-40ce-8292-989b2dcdc6c6 · outbound

This paper cites Learning like a real student: Black-box domain adaptation with preview, differentiated learning and review.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Learning like a real student: Black-box domain adaptation with preview, differentiated learning and review

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.919321Z

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Observation 397d764c-7aa6-4af0-b333-44d5902adec0 · outbound

This paper cites Adapting visual category models to new domains.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Adapting visual category models to new domains

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.878573Z

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Observation c52c9a64-afea-4d79-85c3-b1d827199bb2 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Deep hashing network for unsupervised domain adaptation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.880439Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff3f3100-07cc-4728-92cd-0091efb4a188 · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:03:25.287501Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2cb0428c-6a35-4886-a528-f376224c69aa · outbound

This paper cites Deep residual learning for image recognition.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Deep residual learning for image recognition

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.882156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e225b79-56df-4bef-b24f-ed556c3e5a3c · outbound

This paper cites Visualizing data using t-sne.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Visualizing data using t-sne

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T01:03:25.887749Z

Source-reported events for the cited work

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Pith citing papers

Observation c0d8c8e2-2fb3-4b9a-835f-40ec9b359814 · inbound

Transition fronts of combustion reaction-diffusion equations in domains with multiple cylindrical branches cites this paper.

Transition fronts of combustion reaction-diffusion equations in domains with multiple cylindrical branches Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T20:02:04.305231Z

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