Component Adaptive Clustering for Generalized Category Discovery | Paper Citation Record

Observation a53abbb0-ec8a-405b-b2c9-257db17ede65 · outbound

This paper cites Generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Generalized category discovery,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:30.526542Z

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Observation 623b3e76-4964-44f9-b829-c79d79db3b99 · outbound

This paper cites Gpt4motion: Scripting physical motions in text-to-video generation via blender-oriented gpt planning,.

Component Adaptive Clustering for Generalized Category Discovery Gpt4motion: Scripting physical motions in text-to-video generation via blender-oriented gpt planning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:30.369018Z

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Observation a6ee075b-570f-422b-a9bc-8d22e7543fd4 · outbound

This paper cites Sbcr: Stochasticity beats content restriction problem in training and tuning free image editing,.

Component Adaptive Clustering for Generalized Category Discovery Sbcr: Stochasticity beats content restriction problem in training and tuning free image editing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:30.198127Z

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Observation efe4333c-c43b-4ad3-87f6-bbbb2734165f · outbound

This paper cites COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

Component Adaptive Clustering for Generalized Category Discovery COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:49:22.213714Z

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Observation 52fb8c7b-77be-4e1f-907d-005e9e34bb04 · outbound

This paper cites Magicfight: Personalized martial arts combat video generation,.

Component Adaptive Clustering for Generalized Category Discovery Magicfight: Personalized martial arts combat video generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:30.018371Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0250d73-8944-499e-8a77-a33181e2e5d8 · outbound

This paper cites Sglp: A similarity guided fast layer partition pruning for compressing large deep models,.

Component Adaptive Clustering for Generalized Category Discovery Sglp: A similarity guided fast layer partition pruning for compressing large deep models,

Reference 6

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Source-reported events for the cited work

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Observation 3b9050b3-9dce-45eb-94cf-192beaf90d9a · outbound

This paper cites DIVE: Taming DINO for Subject-Driven Video Editing.

Component Adaptive Clustering for Generalized Category Discovery DIVE: Taming DINO for Subject-Driven Video Editing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:15.079375Z

Source-reported events for the cited work

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Observation 9129bd0c-329e-4a16-8ff7-a80dc721ce59 · outbound

This paper cites Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection.

Component Adaptive Clustering for Generalized Category Discovery Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:49:21.778177Z

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Observation c09decbe-5e41-4d34-b812-b99041955eb6 · outbound

This paper cites Color-sd: Stable diffusion model already has a color style noisy latent space,.

Component Adaptive Clustering for Generalized Category Discovery Color-sd: Stable diffusion model already has a color style noisy latent space,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:29.832843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f323de0c-9fd0-412b-af5a-b879bc357bfb · outbound

This paper cites Wavedm: Wavelet-based diffusion models for image restoration,.

Component Adaptive Clustering for Generalized Category Discovery Wavedm: Wavelet-based diffusion models for image restoration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:29.652347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48e4e775-2467-4080-9622-b84fbe3814a5 · outbound

This paper cites Enhancing Image Generation Fidelity via Progressive Prompts.

Component Adaptive Clustering for Generalized Category Discovery Enhancing Image Generation Fidelity via Progressive Prompts

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:49:21.430991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45b86b64-bbc2-4f7a-bf6e-e444f729d425 · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

Component Adaptive Clustering for Generalized Category Discovery Diffusion Model-Based Image Editing: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:15.687272Z

Source-reported events for the cited work

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Observation 41efbe18-a618-4fee-9b16-64d8b0f13f23 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Component Adaptive Clustering for Generalized Category Discovery WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:15.859237Z

Source-reported events for the cited work

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Observation a1cbafc2-d05f-4655-83a8-e0d94cb6652f · outbound

This paper cites Wizardarena: Post-training large language models via simulated offline chatbot arena,.

Component Adaptive Clustering for Generalized Category Discovery Wizardarena: Post-training large language models via simulated offline chatbot arena,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:29.480694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 601c0e39-9278-4ce1-9436-75f274f35339 · outbound

This paper cites Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation,.

Component Adaptive Clustering for Generalized Category Discovery Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:29.264580Z

Source-reported events for the cited work

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Observation cb8e825d-5f18-42f5-a951-318aa6424f66 · outbound

This paper cites Collab- orative learning of semi-supervised segmentation and classification for medical images,.

Component Adaptive Clustering for Generalized Category Discovery Collab- orative learning of semi-supervised segmentation and classification for medical images,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:29.101302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0d0c123-afdb-4889-93e4-09bf691f07f1 · outbound

This paper cites Meta-learning for semi-supervised few- shot classification,.

Component Adaptive Clustering for Generalized Category Discovery Meta-learning for semi-supervised few- shot classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:28.916966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70247ec4-00f4-4240-9f6a-52e12a9adf02 · outbound

This paper cites Semi-supervised domain adaptation via sample-to-sample self-distillation,.

Component Adaptive Clustering for Generalized Category Discovery Semi-supervised domain adaptation via sample-to-sample self-distillation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:28.746487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 706f4965-2ed7-4f7e-a695-7f58973090c8 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Component Adaptive Clustering for Generalized Category Discovery Emerging properties in self-supervised vision transformers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:28.566763Z

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Observation 8b21b57a-46fc-441d-8005-bcd04d96ed35 · outbound

This paper cites Adaptive slot attention: Object discovery with dynamic slot number,.

Component Adaptive Clustering for Generalized Category Discovery Adaptive slot attention: Object discovery with dynamic slot number,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:28.378163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d28b8f9c-836b-42e2-88c1-f871180ae4b1 · outbound

This paper cites Learning to discover novel visual categories via deep transfer clustering,.

Component Adaptive Clustering for Generalized Category Discovery Learning to discover novel visual categories via deep transfer clustering,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:28.164369Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8e2943e-014d-417a-a28f-60164398d31c · outbound

This paper cites Dynamic conceptional contrastive learning for generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Dynamic conceptional contrastive learning for generalized category discovery,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:27.973886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5875cef-709b-4d7b-a2ef-2254dc620b02 · outbound

This paper cites Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:27.758481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 042dff03-6e0a-4656-98ca-3e1aefaf7850 · outbound

This paper cites Parametric classification for generalized category discovery: A baseline study,.

Component Adaptive Clustering for Generalized Category Discovery Parametric classification for generalized category discovery: A baseline study,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:27.583026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30965ba1-425c-423b-9f50-628af0599a6d · outbound

This paper cites Para- metric information maximization for generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Para- metric information maximization for generalized category discovery,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:27.356262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66ea3f7b-2297-4f0e-ba65-ad48acdf4cca · outbound

This paper cites Contrastive mean-shift learning for generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Contrastive mean-shift learning for generalized category discovery,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:27.183183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c7ffc06-98b4-4789-b881-b2e94cc7e2d5 · outbound

This paper cites Solving the catastrophic forgetting problem in generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Solving the catastrophic forgetting problem in generalized category discovery,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.989224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55f13312-e97a-4128-bafb-f94396570d9c · outbound

This paper cites Unsupervised learning of dense visual representations,.

Component Adaptive Clustering for Generalized Category Discovery Unsupervised learning of dense visual representations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.770299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2488396c-2d98-459a-a7f3-cc5e7306ac4b · outbound

This paper cites Dense contrastive learning for self-supervised visual pre-training,.

Component Adaptive Clustering for Generalized Category Discovery Dense contrastive learning for self-supervised visual pre-training,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.613606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec0a2ba8-4bf1-4c5f-9eb6-73b156dcd79c · outbound

This paper cites Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning,.

Component Adaptive Clustering for Generalized Category Discovery Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.472058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1f35385-d9ec-4eea-83ec-4d49312d2ca7 · outbound

This paper cites Unsupervised semantic segmentation by contrasting object mask pro- posals,.

Component Adaptive Clustering for Generalized Category Discovery Unsupervised semantic segmentation by contrasting object mask pro- posals,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.205310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0204356-6015-4eb0-bac5-6a149383fa6e · outbound

This paper cites Unsupervised semantic segmentation with self-supervised object- centric representations,.

Component Adaptive Clustering for Generalized Category Discovery Unsupervised semantic segmentation with self-supervised object- centric representations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:26.035485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61b7b297-54e4-480c-b085-f7af269702a2 · outbound

This paper cites Casting your model: Learning to localize improves self-supervised representations,.

Component Adaptive Clustering for Generalized Category Discovery Casting your model: Learning to localize improves self-supervised representations,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:25.796079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc9a0326-2c3a-4417-9103-a48bcbd68d4f · outbound

This paper cites Efficient visual pretraining with contrastive detection,.

Component Adaptive Clustering for Generalized Category Discovery Efficient visual pretraining with contrastive detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:25.629409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86a2dffa-5d1e-4316-9278-607304606d26 · outbound

This paper cites Self-supervised visual representation learning from hierarchical grouping,.

Component Adaptive Clustering for Generalized Category Discovery Self-supervised visual representation learning from hierarchical grouping,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:25.438372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8b91041-7605-4bfb-a70d-650f46eca89d · outbound

This paper cites Self-supervised visual representation learning with semantic grouping,.

Component Adaptive Clustering for Generalized Category Discovery Self-supervised visual representation learning with semantic grouping,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:25.260189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d99326c0-61b5-4b78-a42b-9528f5942ce9 · outbound

This paper cites Bridging the gap to real-world object-centric learning,.

Component Adaptive Clustering for Generalized Category Discovery Bridging the gap to real-world object-centric learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:25.094294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 419ee44d-8d4d-4324-93cf-cee2d0f9fca9 · outbound

This paper cites Object discovery and represen- tation networks,.

Component Adaptive Clustering for Generalized Category Discovery Object discovery and represen- tation networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:24.876121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07b79043-770e-44da-9f0a-2d23bf9c5dfa · outbound

This paper cites Object-centric learning with slot attention,.

Component Adaptive Clustering for Generalized Category Discovery Object-centric learning with slot attention,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:24.666287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96deb271-b5ac-4cba-808f-46b13f2cdcc9 · outbound

This paper cites Genesis-v2: Inferring unordered object representations without iterative refinement,.

Component Adaptive Clustering for Generalized Category Discovery Genesis-v2: Inferring unordered object representations without iterative refinement,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:24.468186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1422567-e082-4e13-8b9b-e56476706bcb · outbound

This paper cites Categorical reparameterization with gumbel-softmax,.

Component Adaptive Clustering for Generalized Category Discovery Categorical reparameterization with gumbel-softmax,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:24.317400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f75e0365-fb34-476c-9b81-5a1682e4c8b1 · outbound

This paper cites Visualizing data using t-sne.,.

Component Adaptive Clustering for Generalized Category Discovery Visualizing data using t-sne.,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:19.573511Z

Source-reported events for the cited work

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Observation 3e90bb0d-c1cd-4356-9279-350bb5c0c203 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Component Adaptive Clustering for Generalized Category Discovery Learning multiple layers of features from tiny images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:24.125311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf4489bf-343c-442d-a1a5-a30592eb16cf · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Component Adaptive Clustering for Generalized Category Discovery Imagenet: A large-scale hierarchical image database,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:19.837373Z

Source-reported events for the cited work

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Observation 510cefaa-fb31-4292-8206-a07f8191aacf · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset,.

Component Adaptive Clustering for Generalized Category Discovery The caltech-ucsd birds-200-2011 dataset,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:23.968292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a131faee-3a4b-4166-b7ee-d061ef1e1d46 · outbound

This paper cites 3d object representations for fine-grained categorization,.

Component Adaptive Clustering for Generalized Category Discovery 3d object representations for fine-grained categorization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:23.764467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 820594da-fd5d-4ec9-8b2d-42f91d722a68 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Component Adaptive Clustering for Generalized Category Discovery Fine-Grained Visual Classification of Aircraft

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:20.216485Z

Source-reported events for the cited work

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Observation 4761c112-41ae-44a0-a03e-abda9bdaca8c · outbound

This paper cites The herbarium challenge 2019 dataset,.

Component Adaptive Clustering for Generalized Category Discovery The herbarium challenge 2019 dataset,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:23.584973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27f5857c-e7da-4574-8871-2140a8b6779e · outbound

This paper cites Automatically discovering and learning new visual categories with ranking statistics,.

Component Adaptive Clustering for Generalized Category Discovery Automatically discovering and learning new visual categories with ranking statistics,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:23.331767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da396283-0e70-4830-a7d3-2afd3e855a23 · outbound

This paper cites A unified objective for novel class discovery,.

Component Adaptive Clustering for Generalized Category Discovery A unified objective for novel class discovery,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:23.092342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6815982-58c8-478c-9e3d-2d616ce7987d · outbound

This paper cites Open-world semi-supervised learning,.

Component Adaptive Clustering for Generalized Category Discovery Open-world semi-supervised learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:22.918553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 21581991-7517-4c63-9f81-2680cfc6122e · outbound

This paper cites Learning semi-supervised gaussian mixture models for generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Learning semi-supervised gaussian mixture models for generalized category discovery,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:22.744172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b169dd34-88bf-4da1-93c9-324f1e72157a · outbound

This paper cites Cdad-net: Bridging domain gaps in generalized category discovery,.

Component Adaptive Clustering for Generalized Category Discovery Cdad-net: Bridging domain gaps in generalized category discovery,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:22.531750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57a353b2-e478-42e9-a5d0-046e1cb416c6 · outbound

This paper cites The hungarian method for the assignment problem,.

Component Adaptive Clustering for Generalized Category Discovery The hungarian method for the assignment problem,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:21.156873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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