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Paper Citation Record · LEDGER

Component Adaptive Clustering for Generalized Category Discovery

As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.01711.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.01711 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:49:21.156873Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy43
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-06T20:49:14.970285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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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 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:18.637732Z digest=sha256:984bb6c10fccadbc9063fd7df546e62ccd303cc867ceb3db5f85143386ff8725

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:18.879072Z digest=sha256:96ed3e70320912aaa63cd4928c73ca0f3b3a7da8652414e6e49d5cac2c0c8857

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:18.969634Z digest=sha256:2d88757b0d147c6ff2a20e056ebf65687d2d4584c8a2934e4ad0298177f903fa

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:19.195633Z digest=sha256:089069cfd7f3fd6ad742376657fd63fbf6db8258405e755374f3d378e49d5800

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:19.318367Z digest=sha256:66c5bb120f6ec2cd28e6c3e32be0dcf93884367ad33c443a4f55f014797ecad9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:19.438742Z digest=sha256:dc40ad7abf472dbdd81549a7584755b6c0def230be451d08c248a69ae4008699

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:19.573511Z digest=sha256:21fb0374b5e6a8fe191f97ab60a951bd26a84a1c1f772f3bd05b9a2da372eb5c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:19.707707Z digest=sha256:5153e465e720eef396dc79cb56dda014de3212c2e730c90ab348fdfbf8b1ac26

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:19.837373Z digest=sha256:ffafc5edc4fba4c3613e2c852e5144175331987ca681231d1ff139fd743cb255

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:19.942674Z digest=sha256:68bcb16028138eadb6a37aee86bceaa343cb736462163b27dc31b7afc40357f4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.072379Z digest=sha256:afe1f4dfd34c0abdfd80b22a7134bc35dd7a62155465f791ab2be2cd38333f08

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:49:20.216485Z digest=sha256:6bdb60871bacf6ed5f3b3d57f95913a1e3d1dd9dc5690b5436f596939fd4786f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.339105Z digest=sha256:c7068ca5e1426418cd1dd382758b004aec1a26ab78b1d7ed7798ac7c0ec59430

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.470205Z digest=sha256:d27d3287c1a7fb67d03c5fa23533b7f19fa01da4aafcc11474a8886a92e58d98

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.584417Z digest=sha256:d2574f643d67a7c3a76076d44a0d3f17382f16ab1c42c23f5584c8767fb3cbf4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.708750Z digest=sha256:945b06c00621db2a1da3a10e1a5f376b2cf2fa4303c1f20c1f04cb6dcbd6894d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:20.879210Z digest=sha256:722e60cfd861c85b4c2583fe208494f886fc37a16fe57e57b62ab386854899b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:49:21.038201Z digest=sha256:5dbc6514911dd60765f7a40747185cba6538436a3cff4cc8495cc67960013e7e

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.

source=pdf_text observed=2026-08-06T20:49:21.156873Z digest=sha256:e88304936f3353aa269d44feb4720d10c2a86959360fa06e8bf8fc3079468e83

Pith citing papers

No inbound Pith citation observations are available.