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Paper Citation Record · LEDGER

Component Adaptive Clustering for Generalized Category Discovery

As of 15 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 2026-08-14T06:32:32.682623+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
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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

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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

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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

Resolution
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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 2026-08-14T06:32:32.682623+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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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
local_arxiv, observed 2026-08-06T20:49:21.778177Z

Source-reported events for the cited work

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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

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Source-reported events for the cited work

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

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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

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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 2026-08-14T06:32:32.682623+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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 2026-08-14T06:32:32.682623+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
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:18.637732Z digest=sha256:334fac328ef2f5e0fc5e468cd4228b057eae101deb449f12da8bcc4742d73600

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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:19.438742Z digest=sha256:541b90047676ff8fcd286e243febcc27130991df7541de4a74fdd069162f673f

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=sha256:18da4f8807085152ce3d992bfa0192b3fff4082898d4b82210847369f6d524e6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:19.707707Z digest=sha256:047df8620a1821ef56aad269bb2c5f2f7514722f3590a90dbd77756b5e6d8a96

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=sha256:10b754af9db0258e3f9f22f0c5c8667628445c40b23fc1ce43857a84b202e2f5

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:19.942674Z digest=sha256:ab22060da360dd1492b96b13ff8305910701e4b9f1f466844c8972e07db85a97

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:20.072379Z digest=sha256:af452c6d6e783c57bf201645cc6f15fe75256d49f9579ba4a6b7da5521d46742

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:b06de026c77f21342e03f48199f2d63aa5bad9efcd04a4425a47f942e9fbb1b9

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:20.470205Z digest=sha256:25be11c5bdf2b44047dd8785f9bf96ae39d20c2481a76f61a71226beaab687a8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:20.584417Z digest=sha256:fd194002edbd72e616772b26d0a9d75393cd8b29e48b166acdd78be769870b31

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:20.708750Z digest=sha256:a4b2b9f9c46902e10d80297c28cb4bb6eecf96748ed452d2ff7363e29ec87ac1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:20.879210Z digest=sha256:64acb78656672faff0fa1da2f12cfdcb5e6aca9ac804085b499083272480bbe7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:49:21.038201Z digest=sha256:c427b68bade55630ff12cddfbde0f11e118e280ddf746113862adfc3d69097d3

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=sha256:5afc99d255bdbf7bab21efb198c73c5ad4ff3a4199656bc31b779b9468920a76

Pith citing papers

No inbound Pith citation observations are available.