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Paper Citation Record · LEDGER

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.22697.

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

pith.paper-citation-record.v1
2607.22697 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:38:46.375167Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae45f9b0-e326-4c0e-a994-8fac5c950c0f · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 1

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source=pdf_text observed=2026-08-01T20:38:39.461207Z digest=sha256:b01dbc00e555b9dbd7544b389fa1ffc253ea36dcd587cf3b80f5ebf8e371c4ba

Observation d14742e3-4410-4cc0-92a4-bea66851259a · outbound

This paper cites GPT-4 Technical Report.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning GPT-4 Technical Report

Reference 2

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source=pdf_text observed=2026-08-01T20:38:39.592380Z digest=sha256:ff262f73dab41ab0ea579f75cf2c641503244546b8ad9a6faf3796f7399e3b0b

Observation 1dd378ba-f466-43a5-8b4c-b266b2acef16 · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 3

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source=pdf_text observed=2026-08-01T20:38:39.724384Z digest=sha256:d93b5408da248f325852670d25d471ba3e3bba3c8a58964a76278f935d4cf31a

Observation 4b6274ae-00fc-4c4c-9811-ccdb89a2918c · outbound

This paper cites Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.JMLR, 7:2399–2434, 2006.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Manifold regularization: A geometric framework for learning from labeled and unlabeled examples.JMLR, 7:2399–2434, 2006

Reference 4

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source=pdf_text observed=2026-08-01T20:38:39.852707Z digest=sha256:922013809a98b3bdeb5878461d7fd7fe5047bc24e886789ad9a743032997c8c3

Observation b120995e-eae3-4ee3-9e93-7597504dd542 · outbound

This paper cites Bennett and Ayhan Demiriz.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Bennett and Ayhan Demiriz

Reference 5

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source=pdf_text observed=2026-08-01T20:38:39.984059Z digest=sha256:1c20b33cbf815063affb06b3d43ae231b8ab2f758a3412a780676678777e4c31

Observation 08fb83e8-3d99-4d6b-a93d-d4514c8533fb · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 6

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source=pdf_text observed=2026-08-01T20:38:40.061924Z digest=sha256:eacc75d76940deb8724eadf35c967f42a8e99fa122532b8638e97e1e33d23411

Observation 52cbe458-e73b-4353-9e4b-c10bf8370163 · outbound

This paper cites Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218, 2025.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218, 2025

Reference 7

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source=pdf_text observed=2026-08-01T20:38:40.187457Z digest=sha256:fcdacd7c3821b4b5d7f0a780ede3efbf496608a9172b38c473b16d4b884d4071

Observation 7a7e057b-66c0-4b81-943e-16bc7c9412fb · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-01T20:38:40.319023Z digest=sha256:ec3a84ab23f0b7b142f79d641322900df1f6be50d4c6a524e05cb29f22e658e0

Observation 23401a3b-2008-4d40-aece-419ca5ad0ef6 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 9

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source=pdf_text observed=2026-08-01T20:38:40.422214Z digest=sha256:0adf21e841d05aedbc3a7a20fb279927a42678a5b9fb046c73a4e229ce442ef2

Observation 8be67963-9265-40e7-a9e5-726edcad8e4c · outbound

This paper cites TransFuser: Imitation with transformer-based sensor fusion for autonomous driving.TPAMI, 45(11):12878–12895, 2023.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning TransFuser: Imitation with transformer-based sensor fusion for autonomous driving.TPAMI, 45(11):12878–12895, 2023

Reference 10

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Observation b843f500-eb65-4190-bfb5-1bad33c2bbe5 · outbound

This paper cites End-to-end driving via conditional imitation learning.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning End-to-end driving via conditional imitation learning

Reference 11

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source=pdf_text observed=2026-08-01T20:38:40.647457Z digest=sha256:681dfd5eb6711ca9fc4cb4d54c52dad5397236fb5e89725b4319d51a5a137974

Observation 93ff2f5b-a779-4487-92c5-a004e282d8bf · outbound

This paper cites Selection via proxy: Efficient data selection for deep learning.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Selection via proxy: Efficient data selection for deep learning

Reference 12

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source=pdf_text observed=2026-08-01T20:38:40.760348Z digest=sha256:dce51180a41d408ccd7f13f2731d261d2a0177ce5fbb8ba8e73f0b45307b81ec

Observation cdbc2b61-32e7-4338-9f09-4bcd24c3ed3b · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 13

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source=pdf_text observed=2026-08-01T20:38:40.888081Z digest=sha256:3a7de5bbd0c1414b0d78afc26a5f19b96432be56e5dc05eda2fc9bf87da1624e

Observation 346bd3f4-2ddc-4825-b581-ea8f85ea3b7f · outbound

This paper cites Openscene: The largest up-to-date 3d occupancy prediction bench- mark in autonomous driving.https://github.com/OpenDriveLab/OpenScene, 2023.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Openscene: The largest up-to-date 3d occupancy prediction bench- mark in autonomous driving.https://github.com/OpenDriveLab/OpenScene, 2023

Reference 14

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source=pdf_text observed=2026-08-01T20:38:40.985265Z digest=sha256:50484056471c29988420ed76ef68ff2bed634d278b409f76949049dccb17c6af

Observation ddc30276-96ad-4826-b767-91a02198587b · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-01T20:38:41.106581Z digest=sha256:6bc48c8b7b59730b43603a45f6074b590e4d49a0f314ed1d0134e94181862a79

Observation 3bf72c01-84d8-4dc8-91c8-4f8a3c206f0c · outbound

This paper cites Parting with miscon- ceptions about learning-based vehicle motion planning.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Parting with miscon- ceptions about learning-based vehicle motion planning

Reference 16

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source=pdf_text observed=2026-08-01T20:38:41.223423Z digest=sha256:4d1114c0b40cf62db0da5df9f2946747cc592fc7d1f9636051d7013fea5b0968

Observation 50414535-c649-4fa0-a58a-89844dbec872 · outbound

This paper cites NA VSIM: Data-driven non-reactive autonomous vehicle simulation and benchmarking.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning NA VSIM: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 17

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source=pdf_text observed=2026-08-01T20:38:41.345949Z digest=sha256:22737792f6e6c4aac460af377d9d1835f0342db64a16ff3e7e84969b13e86412

Observation b33f0012-28c7-4001-82e7-f2671d2c67b8 · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-01T20:38:41.490464Z digest=sha256:52eac7541e6de5fc035bda77617fe35f09d2d35c8916ae594d6104b9d0d02671

Observation 2b720fba-0f27-440b-a4e7-d1f4b52a0378 · outbound

This paper cites The Faiss library.TBD, pages 1–17, 2025.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning The Faiss library.TBD, pages 1–17, 2025

Reference 19

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source=pdf_text observed=2026-08-01T20:38:41.646144Z digest=sha256:513f2ca21d995c2ec5aa5c7c74fe547e7eb15e059f45fc8092d4cc8b358557f6

Observation 374c83c2-390f-4dd0-95d6-63092b8596d1 · outbound

This paper cites Scaling laws for data filtering–data curation cannot be compute agnostic.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Scaling laws for data filtering–data curation cannot be compute agnostic

Reference 20

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source=pdf_text observed=2026-08-01T20:38:41.768727Z digest=sha256:848c6b922fc10dfdfe7b28b2b67cf28fcc7562175e721f8aa5929bea1c54c462

Observation 3d5bb056-0f4d-46cd-a641-f7634571c3ab · outbound

This paper cites Training AI for self-driving vehicles: The challenge of scale.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Training AI for self-driving vehicles: The challenge of scale

Reference 21

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source=pdf_text observed=2026-08-01T20:38:41.864373Z digest=sha256:a9f6464b66c454d78150839cf3010fc51e0998126e8f41da4dbd9f4f8706ef06

Observation 999b9e1d-1af5-46d5-81f1-6d8647befa12 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Lvis: A dataset for large vocabulary instance segmentation

Reference 22

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source=pdf_text observed=2026-08-01T20:38:41.994981Z digest=sha256:cc668a133dc78d6659c6386199a8f9f438533636cffbdec38e5fcb21bc5a9233

Observation 70c67b42-208b-4a35-9554-b3942efe216d · outbound

This paper cites Test-time training on nearest neighbors for large language models.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Test-time training on nearest neighbors for large language models

Reference 23

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source=pdf_text observed=2026-08-01T20:38:42.104201Z digest=sha256:5fd152d8b7fe4686c8b56b8d2d2525430660eb9a21812849a89c849a0fa9ab4a

Observation e6472308-09cf-43ce-bac8-1c2681b59b7d · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Vad: Vectorized scene representation for efficient autonomous driving

Reference 24

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source=pdf_text observed=2026-08-01T20:38:42.173852Z digest=sha256:26d4923208aa2a5e21c13f98ca7ad744f3709a4e22741a84be4e0988eb3f78a1

Observation 8902df13-ea6e-4194-b67b-6ddae6469008 · outbound

This paper cites Transductive inference for text classification using support vector machines.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Transductive inference for text classification using support vector machines

Reference 25

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source=pdf_text observed=2026-08-01T20:38:42.272038Z digest=sha256:7149cf782228aca5e1821304bcb24d41f246fb409d3d5f58e722b38f53df8ffd

Observation fb808394-6104-45fd-8b44-72f60970c1fc · outbound

This paper cites Multi-class active learning for image classification.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Multi-class active learning for image classification

Reference 26

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source=pdf_text observed=2026-08-01T20:38:42.410127Z digest=sha256:37eb67e5144fefd544ddd2075044a788297fcbc2603815fdefbbd63e928d021b

Observation 1021dff6-719b-430f-94b0-369afe2392bc · outbound

This paper cites AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training

Reference 27

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source=pdf_text observed=2026-08-01T20:38:42.563481Z digest=sha256:326118a85579ea53f2e3f0ce9f4678d69340f1ed5e36d64dd1c23d86b460532d

Observation 6c2d4dcf-5f9e-4558-9ab1-b40e32fadd9d · outbound

This paper cites Lewis and Jason Catlett.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Lewis and Jason Catlett

Reference 28

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source=pdf_text observed=2026-08-01T20:38:42.666643Z digest=sha256:0c8d81d5204c0ea19f76e87c1358453db4333baac2ab38c915081ec96ec9bed3

Observation eba1f7e4-91d7-4c99-b072-2cbbe7ba17ab · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 29

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source=pdf_text observed=2026-08-01T20:38:42.740325Z digest=sha256:12c40e27ec2fdbafd0bcc62d11bff53779ec3f0de8637d68dfaefe2cbd8669b4

Observation cc24f68a-c76d-4cae-ac0a-36e4f3093015 · outbound

This paper cites Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

Reference 30

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source=pdf_text observed=2026-08-01T20:38:42.873653Z digest=sha256:303046b77916e456a58c767b41acdf3624a9773e5965fc5692d3fc5ac8bb64a3

Observation 4658d83e-abd9-4da5-b906-2e8661cb6dc8 · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving? InCVPR, pages 14864–14873, 2024.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Is ego status all you need for open-loop end-to-end autonomous driving? InCVPR, pages 14864–14873, 2024

Reference 31

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source=pdf_text observed=2026-08-01T20:38:42.963664Z digest=sha256:2444033f752f47d082d212b1c5e2b892a430081d06d2f5783ab03ef961efe866

Observation 3df0f3ea-c0f0-47fe-8e21-51753f125e53 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.TPAMI, 45(3):3292–3310, 2023.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.TPAMI, 45(3):3292–3310, 2023

Reference 32

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source=pdf_text observed=2026-08-01T20:38:43.073143Z digest=sha256:058b1f11431a841f0dd7b12b34a69a2e362e58b195cc4282c537d87288fb7d8e

Observation 5268b41c-199e-4ab9-be07-a768ef743e27 · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T20:38:43.205983Z digest=sha256:92c3831f64fd3e2135fa110ab9b4047d6660b6bb98b039ee34650b094815be2d

Observation 965c538e-b4e9-4bd1-99a8-a3ea75870d68 · outbound

This paper cites TTT++: When does self-supervised test-time training fail or thrive? In NeurIPS, volume 34, pages 21808–21820, 2021.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning TTT++: When does self-supervised test-time training fail or thrive? In NeurIPS, volume 34, pages 21808–21820, 2021

Reference 34

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source=pdf_text observed=2026-08-01T20:38:43.377500Z digest=sha256:a7fd3281115e66ea6505d8964a094c45693d2893487b852e71727375c09f7660

Observation a046ee51-b603-4d90-af88-a10ee55a50d7 · outbound

This paper cites Kanatsoulis, and Sanmi Koyejo.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Kanatsoulis, and Sanmi Koyejo

Reference 35

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source=pdf_text observed=2026-08-01T20:38:43.493416Z digest=sha256:c6d6c6d25c200dea421b303db34bd8175c315ef31b633e814a0e1a6d1d0f4a6d

Observation e7b619f2-6f81-43fc-bccc-3a3afa8d9588 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Efficient test-time model adaptation without forgetting

Reference 36

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source=pdf_text observed=2026-08-01T20:38:43.575516Z digest=sha256:d8b77232d04284e5fa6c18c7c987e6245e6889ace966ac53acca06fbfa631b9f

Observation d292f23b-a927-4f46-ace4-4c01b44d5510 · outbound

This paper cites Towards stable test-time adaptation in dynamic wild world.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Towards stable test-time adaptation in dynamic wild world

Reference 37

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source=pdf_text observed=2026-08-01T20:38:43.674990Z digest=sha256:92834b10e324791c9b46656530a0631bba83bcb1e38ed0c71b36621286a10bc8

Observation ab95317d-7890-41a9-81fb-b3217175be30 · outbound

This paper cites Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Reference 38

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source=pdf_text observed=2026-08-01T20:38:43.834675Z digest=sha256:f6070965014eab454bcf70c51fa0d72c1c6403579999c4e005d1876959038080

Observation e15682bd-639d-472d-bf85-63d8d9ab7e6e · outbound

This paper cites Deep learning on a data diet: Finding important examples early in training.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Deep learning on a data diet: Finding important examples early in training

Reference 39

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source=pdf_text observed=2026-08-01T20:38:43.933002Z digest=sha256:3660bdbb804a17df59e738d89de189eaac7b3e0b59a0fe54624ac3b8106bd22a

Observation 04883e51-78a4-4de6-bc58-79a06b122516 · outbound

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

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Learning transferable visual models from natural language supervision

Reference 40

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source=pdf_text observed=2026-08-01T20:38:44.080130Z digest=sha256:23466cf09789a958b71822f517896f337a5befcbd3e741b964c766318f159ec1

Observation 12ec0b33-0d9f-4e03-86be-ee0b9ddf3829 · outbound

This paper cites Gupta, Xiaojiang Chen, and Xin Wang.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Gupta, Xiaojiang Chen, and Xin Wang

Reference 41

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source=pdf_text observed=2026-08-01T20:38:44.239347Z digest=sha256:4e05c2fb5629c827dd7acf64f26d2679788a736e3e050d1450b857bc0c42cad5

Observation 16b76165-260e-4a66-9c4e-5384d632f1e1 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 42

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source=pdf_text observed=2026-08-01T20:38:44.345896Z digest=sha256:e60cf2cf472ba484982f30023ee9d1d6efb2abf905fc57d4ea94ef50a2afa566

Observation 36693e41-6642-4cc1-90fb-57ad90eab8d5 · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Active learning for convolutional neural networks: A core-set approach

Reference 43

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source=pdf_text observed=2026-08-01T20:38:44.488128Z digest=sha256:a7e54e93897fe6cf45212a896bf44d48fb76e81719e4ec3f47c6c574001a7003

Observation b4470eb4-1fb8-4d4f-8115-70be7e7b75b9 · outbound

This paper cites Sse: Multimodal semantic data selection and enrichment for industrial-scale data assimilation.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Sse: Multimodal semantic data selection and enrichment for industrial-scale data assimilation

Reference 44

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source=pdf_text observed=2026-08-01T20:38:44.632572Z digest=sha256:b73667f8a076b6d8fd4308518b6ed08783bdb2f4e379829fc1a5923653c6833c

Observation c06d839b-2bb8-439f-b948-682775311dcb · outbound

This paper cites Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 45

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source=pdf_text observed=2026-08-01T20:38:44.760455Z digest=sha256:551e3165da013b96145f7087e70d30226c01a437902fe4a56ae550a5d1b17a34

Observation 648505ec-e043-4682-b223-b8fc53d88846 · outbound

This paper cites Fairdedup: Detecting and mitigating vision-language fairness disparities in semantic dataset deduplication.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Fairdedup: Detecting and mitigating vision-language fairness disparities in semantic dataset deduplication

Reference 46

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source=pdf_text observed=2026-08-01T20:38:44.864909Z digest=sha256:1e28483bbc8dbcb4bd1eb527b72627dbf37c2d2d97fc006cc4410af5a9d09946

Observation 97e26326-80f3-4e3c-a985-1710645d490b · outbound

This paper cites Prediction-oriented bayesian active learning.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Prediction-oriented bayesian active learning

Reference 47

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source=pdf_text observed=2026-08-01T20:38:44.989322Z digest=sha256:deec78c210d8a284d6852c9befe256f1c96f79587021c37fdd5250ede4d93be7

Observation 3feb05c2-9299-4dff-8ffd-c39bcb615f4a · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-01T20:38:45.127105Z digest=sha256:f144a5017277481bca356b3c993d646ee2428100567888e6d8d9014510c24452

Observation e0239e2c-baf8-4fdb-8ba0-339b248bd524 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Scalability in perception for autonomous driving: Waymo open dataset

Reference 49

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source=pdf_text observed=2026-08-01T20:38:45.226978Z digest=sha256:529bd5472c7604f83b83d9b832e8e87a43e160b93d2eed8f62b0c157dc695e51

Observation cfae1427-be44-4511-bdda-ebf79254c20a · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Test-time training with self-supervision for generalization under distribution shifts

Reference 50

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source=pdf_text observed=2026-08-01T20:38:45.361722Z digest=sha256:81636eb64b877e7fac2f1b7c923afa278cc2aec5272469b2fd80d66c1522f7a1

Observation ee4f2e4e-c62d-4755-97f3-56452b09e65b · outbound

This paper cites an unresolved cited work.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T20:38:45.508518Z digest=sha256:d3dd849469554a112d586263ec7e8acc439fc63b4e0d4e309509305f56dc619a

Observation 05e73b02-5df7-42ad-9261-d912f9547e17 · outbound

This paper cites Springer science & business media, 2013.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Springer science & business media, 2013

Reference 52

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source=pdf_text observed=2026-08-01T20:38:45.676630Z digest=sha256:aff1e3f6b559773d4d9e08df17c9a5c4340210bcecf5540841a62b64072bc300

Observation 02267365-9767-4782-9379-3d9575bc15ab · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Tent: Fully test-time adaptation by entropy minimization

Reference 53

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source=pdf_text observed=2026-08-01T20:38:45.810105Z digest=sha256:da08819f1fbf7bbcaa384a1fa25fe54853549d2e8502e54cdcb6f6e50704c696

Observation a04a47a1-733d-43fe-a664-09cee6b61d04 · outbound

This paper cites Continual test-time domain adaptation.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Continual test-time domain adaptation

Reference 54

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source=pdf_text observed=2026-08-01T20:38:45.954563Z digest=sha256:c549c1647681245196f619db7ef5509a11e573263b0cc58f7f694801fcccf007

Observation 58953358-e696-45a6-a517-c0fbd448fc53 · outbound

This paper cites Qwen3 Technical Report.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Qwen3 Technical Report

Reference 55

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source=pdf_text observed=2026-08-01T20:38:46.078560Z digest=sha256:01227fcc1dca11b68f6b8f2add12c75c0efa60fbb83523e03d57fd45c5664c89

Observation 01c19fcd-a30b-4190-953a-6826acdad67f · outbound

This paper cites MEMO: Test time robustness via adaptation and augmentation.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning MEMO: Test time robustness via adaptation and augmentation

Reference 56

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source=pdf_text observed=2026-08-01T20:38:46.189872Z digest=sha256:09d7b1df6b9ba427fb1376dba4f86bd7320983e8d20a410c1490b77e7f0d5091

Observation 380e07c7-d985-4274-b24f-7ab4ef20fd2e · outbound

This paper cites Learning with local and global consistency.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning Learning with local and global consistency

Reference 57

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source=pdf_text observed=2026-08-01T20:38:46.271656Z digest=sha256:992f04b3ba4530655069c9e3e20eb4e69fdd1536b4e0e079ec05c6702aa88dfd

Observation 96d7269e-1570-460d-a32b-57820530630c · outbound

This paper cites a man":.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning a man":

Reference 58

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source=pdf_text observed=2026-08-01T20:38:46.375167Z digest=sha256:afc0bdaa7b5bafc0b41510f36d85f9eccf0695a82aa4bbdc5dbd1dd80ff3e332

Pith citing papers

No inbound Pith citation observations are available.