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Paper Citation Record · LEDGER

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1808.05697.

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

pith.paper-citation-record.v1
1808.05697 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:58:53.600187Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T07:46:46.382079Z

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 200c441f-2885-4c58-911d-fba050a5bd04 · inbound

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach cites this paper.

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:49:59.328087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-24T21:49:55.588040Z digest=sha256:b7ab74ceafcccc2d50e04efb48ff911b3bb109cb5cf3cb1ac8ec3aa17e015c55

Observation 37be0db0-9dd6-4da4-8282-59baaca0b08b · inbound

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation cites this paper.

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T13:58:53.600187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:58:53.600187Z digest=sha256:2b6cbb41f7bed78981e7664fb39d55eff7dc4e3a1c74e223a6b38b4ea8530712

Observation 6ca97dc4-7f26-4ef6-b951-7fd1039a8394 · 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? Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T23:05:01.527216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:05:01.527216Z digest=sha256:33c82f7bc255149f7ff4ac2e3f173d6ec527408ee358244d1b6cc612d8e00a13

Observation 45385f56-581a-491a-b3b2-ef1de103a1bb · 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 Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T05:17:23.566608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:17:23.566608Z digest=sha256:5f833a84dd2c11700a2f5c7bd23b7b24c0670b728c05c4c5c65b4df3a7a0fc10

Observation f39d41b2-58ac-4189-9e09-67fae8f5113e · inbound

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints cites this paper.

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T19:42:35.623810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:42:35.623810Z digest=sha256:29329489d7097a7b65f14ce0a7b5b8a68069f3ceddcdc93f23ff9ac6fb8cfdb6

Observation bab950f5-4310-44ac-aad3-98f2e5a868d8 · inbound

ART: Adaptive Relation Tuning for Generalized Relation Prediction cites this paper.

ART: Adaptive Relation Tuning for Generalized Relation Prediction Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:53.971606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:53.971606Z digest=sha256:145611d8e157a3ac4fe892687e91ed57d4eb00f5abe088938c71a707215780ef

Observation 90c5f117-cb6e-4b39-8647-5dd78d12c0c4 · inbound

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts cites this paper.

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Reference 82

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:46:46.383273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T06:39:17.268337Z digest=sha256:b03ad46a637359d1756205438fc22fe4d3a19af27e502d9b3bf5a6370a37e83e