Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Active Learning by Acquiring Contrastive Examples
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2109.03764.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:17:23.831016Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:07:27.200901Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b8d855f7-b3ee-4687-808c-b7a5b9358939 · 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 Active Learning by Acquiring Contrastive Examples
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:17:23.831016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f3828d-bcaf-498e-aaf5-c627d85f714a · inbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution cites this paper.
Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning by Acquiring Contrastive Examples
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:28:34.631557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b461d20a-0f00-49b9-b00d-b4aa59de2d0c · inbound
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection cites this paper.
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection Active Learning by Acquiring Contrastive Examples
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:25.678375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 601c9ab7-57e0-48d3-b90f-955fa93aa16d · inbound
Decouple before Align: Visual Disentanglement Enhances Prompt Tuning cites this paper.
Decouple before Align: Visual Disentanglement Enhances Prompt Tuning Active Learning by Acquiring Contrastive Examples
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:17:04.559004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c326f030-54f7-4cc0-b9ac-32a087157bad · inbound
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds cites this paper.
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Active Learning by Acquiring Contrastive Examples
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:07:33.937652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e61434da-d973-43b2-a17c-f5bc8a9287c0 · inbound
A computational fluid dynamics model for the simulation of flashboiling flow inside pressurized metered dose inhalers cites this paper.
A computational fluid dynamics model for the simulation of flashboiling flow inside pressurized metered dose inhalers Active Learning by Acquiring Contrastive Examples
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:04:25.411388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d130aeb-efe9-4e5a-92a8-0d243f006f56 · inbound
\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition cites this paper.
\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition Active Learning by Acquiring Contrastive Examples
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:52:17.060118Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a581e66-c1d2-4e99-b712-f928ff71a2db · inbound
Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning cites this paper.
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 2026-08-09T06:31:02.800959+00:00.
Observation 445fd892-b6f9-4804-ac80-abacc6a3a102 · inbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation cites this paper.
Multimodal Distribution Matching for Vision-Language Dataset Distillation Active Learning by Acquiring Contrastive Examples
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:30:19.753829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 42c04d29-020e-4c1f-b260-702581dc2911 · inbound
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework cites this paper.
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Active Learning by Acquiring Contrastive Examples
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:07:27.202453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.