Paper Citation Record · LEDGER

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.04671.

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

pith.paper-citation-record.v1
2507.04671 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:36.266724Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

44 of 44 outbound references displayed

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verified fuzzy33
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e77a1377-5ce0-459e-a407-132565f8dd9f · outbound

This paper cites Un- derstanding and simplifying one-shot architecture search.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Un- derstanding and simplifying one-shot architecture search

Reference 1

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Observation 1ef3e326-76e3-4f7b-9f54-06306fee05e0 · outbound

This paper cites ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Reference 3

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Observation b7a8ce25-7798-4d00-894a-dac55c786b41 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 4

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Observation 076a5152-d4b4-417d-9cdf-99426ff12702 · outbound

This paper cites Autotrans- fer: Instance transfer for cross-domain recommendations.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Autotrans- fer: Instance transfer for cross-domain recommendations

Reference 9

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Observation 8c1bf7a6-bc50-4e14-9ae4-fcf301133aed · outbound

This paper cites Single path one-shot neural architecture search with uni- form sampling.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Single path one-shot neural architecture search with uni- form sampling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:43.013922Z

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Observation ba135562-ace3-41fc-ac2b-c9af6f80d6e4 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Categorical Reparameterization with Gumbel-Softmax

Reference 14

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Source-reported events for the cited work

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Observation a95db691-8246-4f39-a87f-d8865bea5fb2 · outbound

This paper cites Automated Self-Supervised Learning for Graphs.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Automated Self-Supervised Learning for Graphs

Reference 15

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Observation 208b700e-ae21-44ef-a40b-7cbd2b35d02b · outbound

This paper cites Learning multiple layers of features from tiny im- ages.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Learning multiple layers of features from tiny im- ages

Reference 17

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Observation c5c9fad2-322f-45c0-9fef-f24eef4cb85b · outbound

This paper cites Adafs: Adaptive feature selection in deep recommender system.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Adafs: Adaptive feature selection in deep recommender system

Reference 19

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Observation 858f8872-1a65-4259-8e2b-eaaf45c6e4d9 · outbound

This paper cites Progres- sive neural architecture search.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Progres- sive neural architecture search

Reference 20

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Observation 75ec10c0-caca-45e8-8543-5905767c561f · outbound

This paper cites Automated embed- ding size search in deep recommender systems.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Automated embed- ding size search in deep recommender systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:41.568458Z

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Observation d1c94bdb-0ddd-4d3b-869d-bb3a3984a90c · outbound

This paper cites Autoassign+: Automatic shared embedding assign- ment in streaming recommendation.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Autoassign+: Automatic shared embedding assign- ment in streaming recommendation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:41.281090Z

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Observation e60e520c-1e25-4142-a381-c1b5015a8979 · outbound

This paper cites Efficient neural architecture search via parameters sharing.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Efficient neural architecture search via parameters sharing

Reference 24

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Observation bb71d4e6-9a26-49bc-b59c-d68877db0841 · outbound

This paper cites Regularized evolution for im- age classifier architecture search.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Regularized evolution for im- age classifier architecture search

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:40.556050Z

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Observation 4700a0b8-71ee-45d6-ac71-5d4d99d362ca · outbound

This paper cites A comprehensive survey of neural architecture search: Challenges and solutions.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation A comprehensive survey of neural architecture search: Challenges and solutions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:40.312014Z

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Observation 4d2f51bf-b588-4c65-9a2d-402e5c2a5533 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

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Source-reported events for the cited work

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Observation 259745af-27dd-4c50-807e-4dee903d84e4 · outbound

This paper cites Autoassign: Automatic shared embedding assignment in streaming recommenda- tion.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Autoassign: Automatic shared embedding assignment in streaming recommenda- tion

Reference 29

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Source-reported events for the cited work

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Observation 4d0a0808-a0d2-482e-827b-b0979bd2c229 · outbound

This paper cites Efficient- net: Rethinking model scaling for convolutional neural networks.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Efficient- net: Rethinking model scaling for convolutional neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:39.508551Z

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Observation 2d74b886-cfd3-4e0d-84ce-476b8c9b6b4c · outbound

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

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation The caltech- ucsd birds-200-2011 dataset

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:39.256583Z

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Observation ce218085-0320-49d3-98d8-6c6fa2adfd11 · outbound

This paper cites Rethinking Architecture Selection in Differentiable NAS.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Rethinking Architecture Selection in Differentiable NAS

Reference 33

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Source-reported events for the cited work

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Observation b14de1be-c09f-409c-8ed6-66dfcf409722 · outbound

This paper cites Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:38.807608Z

Source-reported events for the cited work

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Observation 97335f12-076d-4349-975b-e1e8dbcc4d64 · outbound

This paper cites Ef- ficient resource-aware neural architecture search with dy- namic adaptive network sampling.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Ef- ficient resource-aware neural architecture search with dy- namic adaptive network sampling

Reference 35

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Observation ee1c0ce1-a353-46ea-88f8-5535624b41a6 · outbound

This paper cites Autostl: Automated spatio-temporal multi-task learning.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Autostl: Automated spatio-temporal multi-task learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:38.471186Z

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Observation 32cd1f9e-4962-4447-b108-11257096089c · outbound

This paper cites Dns-rec: Data- aware neural architecture search for recommender sys- tems.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Dns-rec: Data- aware neural architecture search for recommender sys- tems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:38.293348Z

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Observation ab7105ee-ae19-4052-886b-d5dcd0a5a5fb · outbound

This paper cites Adaptive and automated deep recommender systems.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Adaptive and automated deep recommender systems

Reference 38

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Observation 8d1e64c0-ba50-4fef-894f-a526c44c15cc · outbound

This paper cites Au- toemb: Automated embedding dimensionality search in streaming recommendations.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Au- toemb: Automated embedding dimensionality search in streaming recommendations

Reference 39

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Observation e275bc65-f032-4088-91cb-d5515a10dcac · outbound

This paper cites Autogen: An automated dy- namic model generation framework for recommender sys- tem.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Autogen: An automated dy- namic model generation framework for recommender sys- tem

Reference 40

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Observation 511e3781-7504-4975-9b93-cfe46942fe5f · outbound

This paper cites Semi-supervised learning lit- erature survey.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Semi-supervised learning lit- erature survey

Reference 41

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Observation eebf1ae0-3a7e-4513-bb2b-59ac8b3fd01f · outbound

This paper cites Details of Component Scoring Mechanism The Score(Al) function establishes a theoretically grounded framework for evaluating architectural components.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Details of Component Scoring Mechanism The Score(Al) function establishes a theoretically grounded framework for evaluating architectural components

Reference 43

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Observation 300c40c3-988f-49f0-b0b8-8e7037520b31 · outbound

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DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation CIFAR-10/100 [Krizhevsky et al

Reference 44

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Observation f918b5d5-d8cd-4084-8ed0-6de1b6b60649 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Neural Architecture Search with Reinforcement Learning

Reference 2005

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This paper cites Automlp: Automated mlp for sequential recommen- dations.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Automlp: Automated mlp for sequential recommen- dations

Reference 2009

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Observation fb83eb91-94b2-49ec-aa28-48ae90c1f4fa · outbound

This paper cites Haq: Hardware-aware automated quantization with mixed precision.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Haq: Hardware-aware automated quantization with mixed precision

Reference 2011

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Observation 8690c16b-796c-48f2-a26e-c1498ae777de · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with con- sistency and confidence.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Fixmatch: Simplifying semi-supervised learning with con- sistency and confidence

Reference 2014

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Observation b30f7ab0-aeba-454a-8e0f-962d1cbb33ca · outbound

This paper cites Deep residual learning for image recog- nition.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Deep residual learning for image recog- nition

Reference 2015

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DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2016

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This paper cites Neural architecture search: A survey.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Neural architecture search: A survey

Reference 2017

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Observation d1c76dee-888d-495f-a2af-e75ca56d092e · outbound

This paper cites Food-101–mining discriminative com- ponents with random forests.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Food-101–mining discriminative com- ponents with random forests

Reference 2018

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Observation 239ece0b-f33a-46e0-a2d7-3a958074d094 · outbound

This paper cites A Comprehensive Survey on Automated Machine Learning for Recommendations.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation A Comprehensive Survey on Automated Machine Learning for Recommendations

Reference 2019

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Observation addd289f-d776-4e46-b09b-3c973c3487c9 · outbound

This paper cites Learning both weights and connections for efficient neural network.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Learning both weights and connections for efficient neural network

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:42.770872Z

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Observation f7a73cb5-2934-44ab-9c06-07abac3fded7 · outbound

This paper cites Lsun-stanford car dataset: enhancing large-scale car image datasets using deep learning for usage in gan training.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Lsun-stanford car dataset: enhancing large-scale car image datasets using deep learning for usage in gan training

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:42.528871Z

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Observation 5c10ed92-f89e-4748-90b5-99c0976a09a8 · outbound

This paper cites Review of one-shot neural architec- ture search.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Review of one-shot neural architec- ture search

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:44.029819Z

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Observation 34f2c68c-3954-4f84-8b9e-f663060f1e72 · outbound

This paper cites Scalable multitask policy gradient reinforcement learning.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Scalable multitask policy gradient reinforcement learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:43.757850Z

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Observation 3e6c1ac8-76e7-42f4-98fd-3b5fc1cccbac · outbound

This paper cites Recnas: Resource-constrained neural architecture search based on differentiable anneal- ing and dynamic pruning.

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Recnas: Resource-constrained neural architecture search based on differentiable anneal- ing and dynamic pruning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:41.064301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

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