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Paper Citation Record · LEDGER

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:1906.03671.

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

pith.paper-citation-record.v1
1906.03671 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:14:55.548737Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:07.387819Z

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0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation f643a7f3-f6d7-4a1b-9d51-ffcf15e2bcdf · inbound

Fine-Tuning Language Models from Human Preferences cites this paper.

Fine-Tuning Language Models from Human Preferences Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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arxiv_id, observed 2026-05-10T20:59:58.860183Z

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

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Observation 195576a4-286d-401e-b761-b7ebfa66a440 · inbound

Active Statistical Inference cites this paper.

Active Statistical Inference Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 4

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arxiv_id, observed 2026-05-24T03:23:49.706365Z

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

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Observation 43c8d9b4-e51a-497c-9d96-bb1e2d2dad6b · inbound

ShieldGemma: Generative AI Content Moderation Based on Gemma cites this paper.

ShieldGemma: Generative AI Content Moderation Based on Gemma Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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arxiv_id, observed 2026-05-20T13:17:39.467153Z

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

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Observation 0c4bd5c0-f7d4-4ff4-b6dc-41124bb5da60 · inbound

Targeting Negative Flips in Active Learning using Validation Sets cites this paper.

Targeting Negative Flips in Active Learning using Validation Sets Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 29

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Observation f812721f-d0ee-401b-9772-7a9ebb974bd7 · inbound

Maximally Separated Active Learning cites this paper.

Maximally Separated Active Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation c2ea0472-8138-4b72-a8c8-e29ad7c44645 · inbound

Class Balance Matters to Active Class-Incremental Learning cites this paper.

Class Balance Matters to Active Class-Incremental Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 6

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Observation c0683439-dc93-435f-a431-d5c10faf8b81 · inbound

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation cites this paper.

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 3

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Observation 43e99711-0def-4665-b3ee-04572eca3063 · inbound

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation cites this paper.

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation 1e46b18e-7e5f-4f07-a2aa-607f4a9d84cb · inbound

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection cites this paper.

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 11

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Observation 3b14cde7-b96c-49f0-a3d4-677a9fdc54d6 · inbound

Active Learning for Continual Learning: Keeping the Past Alive in the Present cites this paper.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 6

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Observation b051fb4c-45f4-4018-97f8-53f6d2906979 · inbound

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics cites this paper.

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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source=pdf_text observed=2026-08-09T17:02:06.774147Z digest=sha256:ec5afbcc6b94d20aed62f834b1baf3c949f2c9f56943e7b2f780c798acba4f3a

Observation a7833945-5fd6-47f8-a578-abd38f39189a · inbound

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages cites this paper.

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 72

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source=pdf_text observed=2026-08-09T05:17:23.735791Z digest=sha256:eaa1c085fdf7e2e08e52f40d31e8e0020a1cf002b34172f0e1e3ba1ab09ffcd8

Observation 93eb9ea1-985c-44f8-82d5-3f21a1192455 · inbound

Certainty and Uncertainty Guided Active Domain Adaptation cites this paper.

Certainty and Uncertainty Guided Active Domain Adaptation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 24

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Observation 75b9063e-612e-4136-bfb0-737a53a0c2a4 · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 25

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Observation c15cc14e-0d12-45fb-9b28-52cc76c6e613 · inbound

ViewPCL: a point cloud based active learning method for multi-view segmentation cites this paper.

ViewPCL: a point cloud based active learning method for multi-view segmentation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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Observation 5ff74d2f-9f3f-4926-ad68-016fe5910541 · inbound

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation cites this paper.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2022

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Observation 7175f561-8f05-4815-abc1-de86ae097786 · inbound

Cost-effective Reduced-Order Modeling via Bayesian Active Learning cites this paper.

Cost-effective Reduced-Order Modeling via Bayesian Active Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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Observation d22aa210-08bb-4382-93fb-c536a7ed4f91 · inbound

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis cites this paper.

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation f210c43a-630d-45c7-a559-eaea35024291 · inbound

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints cites this paper.

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 22

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Observation e51ed2c6-20ea-432d-b831-3ad3fc96fe85 · inbound

To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models cites this paper.

To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation 89899fc5-89cb-4219-ab3b-3f5a8155c5bf · inbound

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field cites this paper.

Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 16

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Observation 2d1ed58d-c871-49c6-8b82-f885e01aad48 · inbound

Exploring Active Learning for Semiconductor Defect Segmentation cites this paper.

Exploring Active Learning for Semiconductor Defect Segmentation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 15

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Observation 0941714d-f9d1-4c63-a82a-3a50a3c0f1df · inbound

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs cites this paper.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation d4e80636-1be6-4816-9c86-9295c73ce008 · inbound

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration cites this paper.

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 45

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Observation 45c835c8-adb9-418e-90f4-c8cc6f68a446 · inbound

StepAL: Step-aware Active Learning for Cataract Surgical Videos cites this paper.

StepAL: Step-aware Active Learning for Cataract Surgical Videos Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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Observation e2078782-a0e8-4103-8023-d48fce89e089 · inbound

ALScope: A Unified Toolkit for Deep Active Learning cites this paper.

ALScope: A Unified Toolkit for Deep Active Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 9927

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Observation 9ed2f804-3d7f-4442-8498-fcd951770181 · inbound

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification cites this paper.

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 3

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Observation af74bbd5-77fc-4ae9-a823-8748ffd81c4b · inbound

Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data cites this paper.

Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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arxiv_id, observed 2026-05-18T13:21:23.893889Z

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

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Observation 8d6cacdc-132f-439d-bc8c-2dfffe531d72 · inbound

Active Learning with Selective Time-Step Acquisition for PDEs cites this paper.

Active Learning with Selective Time-Step Acquisition for PDEs Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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arxiv_id, observed 2026-05-17T05:54:08.575149Z

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

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Observation f26e462e-2f24-4689-a5ed-5ce52c6cd004 · inbound

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees cites this paper.

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 37

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arxiv_id, observed 2026-05-11T09:50:59.605276Z

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

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Observation 0502f3a0-24df-4d03-b790-ec91e809c191 · inbound

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning cites this paper.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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arxiv_id, observed 2026-05-11T08:56:00.999579Z

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

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Observation 1610b601-b6d5-4def-9f50-3b57651ab453 · inbound

Neural Operator Representation of Granular Micromechanics-based Failure Envelope cites this paper.

Neural Operator Representation of Granular Micromechanics-based Failure Envelope Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

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arxiv_id, observed 2026-05-11T13:21:14.141364Z

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

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Observation 1402f926-8d6f-47b8-8664-e973a1e148ae · inbound

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval cites this paper.

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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arxiv_id, observed 2026-05-12T00:06:15.934685Z

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

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Observation 990c1d33-8b04-4629-af53-aa63d0ffa629 · inbound

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing cites this paper.

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 4

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arxiv_id, observed 2026-05-11T18:36:08.218641Z

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

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Observation ab80530f-ce73-4028-a90f-49842f525b6c · inbound

Clip-level Uncertainty and Temporal-aware Active Learning for End-to-End Multi-Object Tracking cites this paper.

Clip-level Uncertainty and Temporal-aware Active Learning for End-to-End Multi-Object Tracking Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 15

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arxiv_id, observed 2026-05-12T05:51:24.369717Z

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

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Observation 79f44883-45f8-43c8-8eca-c54e710f51e0 · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:24.554613Z

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=2026-05-12T04:14:37.374346Z digest=sha256:0b63093598bcfde158afc12d1e4580d1300043bacaac7cd2b0f66c910cfaeb11

Observation f2108115-f850-48e4-ae2b-9370910ccf17 · inbound

Are Candidate Models Really Needed for Active Learning? cites this paper.

Are Candidate Models Really Needed for Active Learning? Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 151

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:19:45.855674Z

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=arxiv_source observed=2026-05-15T05:18:49.394115Z digest=sha256:70430f83a74634b98258ac68aeb1a7f4709e132c52aeb19aa12d75178d2612ea

Observation a19059e2-9619-4268-80c1-e3b6137b42f4 · inbound

Finding Needles in the Haystack: Transductive Active Labeling in Ecology cites this paper.

Finding Needles in the Haystack: Transductive Active Labeling in Ecology Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:27.402875Z

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=2026-06-28T10:52:23.274642Z digest=sha256:530b05dc211cba28f6aa4bd14909d2bbbfb2883005d2406e555ff00b5da5720b

Observation ccdb7eb5-405a-48a8-a04f-4ecb4cea0ac1 · inbound

Finding Needles in the Haystack: Transductive Active Labeling in Ecology cites this paper.

Finding Needles in the Haystack: Transductive Active Labeling in Ecology Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:55:31.245499Z

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=2026-07-01T07:48:01.274555Z digest=sha256:8dcdfcf3e6ec201ecfd58c815754fcd03740a9af0655968a744f27b0792a2668

Observation 30d90a95-63a3-4c1d-8049-1d02ba16a580 · inbound

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance cites this paper.

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:28.994881Z

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=2026-06-28T18:41:46.772623Z digest=sha256:8ac39e7202f29add9bac70f859a3dd4621c1e7ac80d22ed63e325c166b0cfd92

Observation 39b72374-68d4-4703-994f-b03fa1b4d4cf · inbound

Active Learning for Optimal Experimental Design in Machine Learning-Based Building Energy System Identification cites this paper.

Active Learning for Optimal Experimental Design in Machine Learning-Based Building Energy System Identification Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:10:07.389359Z

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=2026-06-25T20:39:56.338875Z digest=sha256:2bc646be121e730ff96f008430b6b162f52af845c5b2c5e2694b375927e83ffd

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

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning cites this paper.

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

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T20:38:39.724384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:38:39.724384Z digest=sha256:89edf4d97eefded98236adb80ffbc28bdc07e9299ed347b3697e05976712034f