Paper Citation Record · LEDGER

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.05687.

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

pith.paper-citation-record.v1
2107.05687 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:21:05.188417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.227022Z

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 12257505-aa3d-4dd9-a904-c6789f66b397 · inbound

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting cites this paper.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.188417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbcb7f56-95cc-4644-8c7d-ba3885970ee4 · inbound

Can Large Language Models Improve SE Active Learning via Warm-Starts? cites this paper.

Can Large Language Models Improve SE Active Learning via Warm-Starts? Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:01.513571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1a8713-851c-469f-bc5b-aebd1062878f · inbound

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables cites this paper.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T22:47:39.066335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1899af9a-bd8b-473e-84fd-b032f3ba1b2f · inbound

Neuron-Aware Active Few-Shot Learning for LLMs cites this paper.

Neuron-Aware Active Few-Shot Learning for LLMs Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.228764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.