Paper Citation Record · LEDGER

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2202.02794.

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

pith.paper-citation-record.v1
2202.02794 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:47.199430Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:46.290115Z

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 3bc005c1-4c22-4f46-9588-19668337c823 · inbound

Certainty and Uncertainty Guided Active Domain Adaptation cites this paper.

Certainty and Uncertainty Guided Active Domain Adaptation Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:47.199430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3835d3ad-bf5c-4e1a-a145-4ed517619df9 · inbound

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

Cost-effective Reduced-Order Modeling via Bayesian Active Learning Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:06:14.152603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15acf4c6-acac-44e0-adb9-2327dce639b5 · 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 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:24.002313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a08fee-797e-4f49-aa5f-7708162ffafd · inbound

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:40.373867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1891df67-5d2c-4054-9a0d-71f793791c03 · inbound

Streamlining the Development of Active Learning Methods in Real-World Object Detection cites this paper.

Streamlining the Development of Active Learning Methods in Real-World Object Detection Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:28:02.434794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e5b44a9-eb2b-4cf9-94f1-0f9ea58dca7a · inbound

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation cites this paper.

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T13:11:11.506179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2b36b9-ce59-4fdf-b1d1-219cf71bfafc · inbound

VisNec: Measuring and Leveraging Visual Necessity for Multimodal Instruction Tuning cites this paper.

VisNec: Measuring and Leveraging Visual Necessity for Multimodal Instruction Tuning Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:19.852333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645d828d-4f13-4af0-9a0a-7ea03bfdc080 · 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 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:06:16.032351Z

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 7f68b8c3-492e-43ff-adbe-d7bcf3eef1e6 · inbound

EMA: Efficient Model Adaptation for Learning-based Systems cites this paper.

EMA: Efficient Model Adaptation for Learning-based Systems Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:19:49.634147Z

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 58fae8ca-e4c8-4cbc-9cd7-727640daf32d · inbound

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning cites this paper.

Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:33:50.126742Z

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 75fec65e-d068-473d-bbb7-b2304575cbfb · inbound

Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots cites this paper.

Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:26:46.291820Z

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 100ad34e-90c1-4a23-b6ef-6e0dbcaa80e1 · inbound

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics cites this paper.

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-13T04:24:43.867063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e1f4af-fe33-401c-9a10-1e91d0f802e6 · inbound

TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series cites this paper.

TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T17:29:49.188666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8758245b-d374-4091-a70f-f8d5be46adbe · inbound

One Human, $N$ Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence cites this paper.

One Human, $N$ Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T11:29:22.451491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.