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Paper Citation Record · LEDGER

LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.02524.

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

pith.paper-citation-record.v1
2001.02524 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:44:33.601752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:21:05.169359Z

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 1f65a353-f03a-4815-9bea-790a9822ac03 · inbound

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs cites this paper.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T11:44:33.601752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:44:33.601752Z digest=sha256:50e862bbaba9c4c93cb79c971840a73f5cdcd3db661d6e0d91920d2f6f6fa181

Observation 351c5366-5156-4bb9-afcf-34a092d71929 · inbound

When Active Learning Falls Short: An Empirical Study on Chemical Reaction Extraction cites this paper.

When Active Learning Falls Short: An Empirical Study on Chemical Reaction Extraction LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:21:05.182627Z

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=2026-05-10T03:49:50.461665Z digest=sha256:d17922c7dda52a1fd8a545078a773af3b53cea9339e25d6960e1b4517e0e1d05