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Paper Citation Record · LEDGER

Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1504.06868.

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

pith.paper-citation-record.v1
1504.06868 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:01.546149Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:26:09.957653Z

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 9cc069eb-fe58-43db-b805-af321b2e8c5f · inbound

Learning to Ask: Question-based Sequential Bayesian Product Search cites this paper.

Learning to Ask: Question-based Sequential Bayesian Product Search Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T10:14:54.719658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:14:54.719658Z digest=sha256:38b6f0489ff1e7028229993555a8e5fb229a9f104d85dfe29cc5d2c61f7d7a43

Observation e4e9dca7-4060-4be5-9d1d-017e2de03a92 · inbound

A Generalised and Adaptable Reinforcement Learning Stopping Method cites this paper.

A Generalised and Adaptable Reinforcement Learning Stopping Method Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:01.546149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:01.546149Z digest=sha256:15ee3d6350a5fd9b6457e386e7d57a9e39957286d1d2d3e0a5af7cfbfb2778b9

Observation d48428be-41f0-40d4-ba6c-95eda1ec0547 · inbound

Overview of the TREC 2022 deep learning track cites this paper.

Overview of the TREC 2022 deep learning track Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:30:46.377358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:30:46.377358Z digest=sha256:854cbdd6c3b53d4ce9fd1c34967352dc8859c647461cd1f4b65c211693614313

Observation 57979c2d-0261-4cb6-a3f1-a456d4e347f1 · inbound

ReLeVAnT: Relevance Lexical Vectors for Accurate Legal Text Classification cites this paper.

ReLeVAnT: Relevance Lexical Vectors for Accurate Legal Text Classification Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:29:16.355768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T11:55:29.109903Z digest=sha256:ab26106d095bb2e500d0a47a5c7ebbdc640219bd91bf514db103f7cca698e000

Observation f5d38ceb-cfdd-42bb-a9ab-5b97f997c5ef · inbound

Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic Design cites this paper.

Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic Design Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T07:29:19.748069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:29:19.748069Z digest=sha256:35aacc08217f1121ffd64dedca13afd0346edd7409e4f8c3f8d7380ca5f0908e