Paper Citation Record · LEDGER

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2604.12303.

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

pith.paper-citation-record.v1
2604.12303 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:25:10.761237Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:01:36.604126Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact15
verified fuzzy5
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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

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

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.999579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea018fe2-c24d-4476-bff1-f85d961d6e32 · outbound

This paper cites Reinforced active learning for image segmentation.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Reinforced active learning for image segmentation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:01.043420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87e43aa0-b2fc-4bd3-83fa-4693fddb6401 · outbound

This paper cites Learning how to Active Learn: A Deep Reinforcement Learning Approach.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Learning how to Active Learn: A Deep Reinforcement Learning Approach

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:07:13.788627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f9e66b1f-2a7e-4a18-84b4-4eb33564e7f5 · outbound

This paper cites Identity mappings in deep residual net- works.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Identity mappings in deep residual net- works

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:29:53.638867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7308c097-7b68-44e3-936f-bd73cfd9b0a5 · outbound

This paper cites Identifying medical diag- noses and treatable diseases by image-based deep learning.cell, 172(5):1122–1131.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Identifying medical diag- noses and treatable diseases by image-based deep learning.cell, 172(5):1122–1131

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:29:53.642173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a581e66-c1d2-4e99-b712-f928ff71a2db · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Active Learning by Acquiring Contrastive Examples

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.949684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24e27e90-f082-489f-975e-cc1c46f2023d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:56:00.961930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7078b927-198a-4bca-9825-e6a979687f00 · outbound

This paper cites Compute-Efficient Active Learning.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Compute-Efficient Active Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.915110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e0f674c-2b24-4f8f-a175-481e364cc434 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:18:33.888354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 748bae62-d40b-430f-93e7-a5f91b339723 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.899063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a23f5c1-2aa4-4e18-9d07-92ab45bfbc03 · outbound

This paper cites Deep Active Learning for Named Entity Recognition.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Deep Active Learning for Named Entity Recognition

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:31:13.604401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f5176a25-076a-4412-bef1-622fd77253ac · outbound

This paper cites MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.969216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d8acea0-a423-4d0f-ab6e-aa85ef0d8559 · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.933249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d94c331-1621-450c-919b-b18760537cf2 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:56:00.925990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6359bec3-54e0-4c76-ade5-93c5831177f5 · outbound

This paper cites Cold-start Active Learning through Self-supervised Language Modeling.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Cold-start Active Learning through Self-supervised Language Modeling

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.942454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16be82e5-f7dc-4a20-8e33-4f7d6a6156d8 · outbound

This paper cites Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.955024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 371c613b-ee58-4fb5-bd72-44a1d07dd507 · outbound

This paper cites Algorithm Selection for Deep Active Learning with Imbalanced Datasets.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Algorithm Selection for Deep Active Learning with Imbalanced Datasets

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.920997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e39901d-cae3-43f4-a83d-7add4bb0de8a · outbound

This paper cites As illustrated in Section 4.2, we clustered labeled set into{L m}M m=1 and unlabeled set into{U c}C c=1 to formulate state space of RL.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning As illustrated in Section 4.2, we clustered labeled set into{L m}M m=1 and unlabeled set into{U c}C c=1 to formulate state space of RL

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:29:53.635366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85617be7-117a-49e0-87c1-b79227e1eccb · outbound

This paper cites an unresolved cited work.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-17T15:29:53.619294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 548afe68-1710-4fa6-9786-3299426a9ed3 · outbound

This paper cites Model Details.Following the setting of Zhan et al.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Model Details.Following the setting of Zhan et al

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:29:53.622358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d61832ec-5668-48c7-bb79-5bddb25a8eef · outbound

This paper cites After 20 epochs, only the gradient from the classification loss is back-propagated through the target model.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning After 20 epochs, only the gradient from the classification loss is back-propagated through the target model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:29:53.625802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c14d607f-0588-4493-a3aa-811ca78ae116 · outbound

This paper cites an unresolved cited work.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-17T15:29:53.628936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cda83456-329b-4436-8f82-4a7a240b46db · outbound

This paper cites an unresolved cited work.

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-17T15:29:53.631850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation bb3142aa-b791-45a9-88a4-010f8397eef7 · inbound

Active few-shot segmentation by reinforcing data selection cites this paper.

Active few-shot segmentation by reinforcing data selection Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T05:01:36.604126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.