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Paper Citation Record · LEDGER

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 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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measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:11:27.044683Z

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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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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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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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Observation 773aa0d6-9cfa-416d-abf9-3e6b14f47984 · inbound

Adaptive sample splitting for randomization tests cites this paper.

Adaptive sample splitting for randomization tests Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2021

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Observation 6c7ab9b5-019e-4935-99c5-cefe41085cd5 · inbound

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation cites this paper.

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 63

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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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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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verified exact
arxiv_id, observed 2026-05-11T18:36:08.218641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T15:03:20.201082Z digest=sha256:90eadf548ebbb983591dbb575d5d3da0d696907a6d283d871905f3d5e52d802e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:53:56.917355Z digest=sha256:197071aa1abcd276c9e246a1e55d89c2cc3b6dd02f051a798cb0d8a22f4f9ef6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:14:37.374346Z digest=sha256:9959db218b6449d3fad82022ae11bf1bafbbfb6ff4846087dc539113b0f0a79b

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T05:18:49.394115Z digest=sha256:72548869ff2d105d3df6378fa908f5042a12845b41d134a51d83743d09537e82

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T10:52:23.274642Z digest=sha256:2808f44441d0e8f0cd672334c2e4fffdca4b675bff983410361f8e4d4b8bf2f2

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T07:48:01.274555Z digest=sha256:e96c66953c986cd447c2ed56195f50bc30027a0e40107ecd0adc51d6faa434bc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T18:41:46.772623Z digest=sha256:c53f980fa7b2dc0e55fd626417970c6820dc861d1b16c2cbe077ca5606bde325

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T20:39:56.338875Z digest=sha256:1317e47f05e85a6ccbaf97abfb2d9bcd8762a4156946775afa1d3f611d47d3c3

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:a884c8c5612d08ec8845dde95dfd2a66af303633bad9cda693322f174cb95fce