Paper Citation Record · LEDGER

Neural Architectures for Named Entity Recognition

As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1603.01360.

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

pith.paper-citation-record.v1
1603.01360 v3

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 2026-07-14T06:31:01.685423+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T05:29:47.894226Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T09:26:51.561331Z

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 48d6a645-36f5-4e91-b19c-dbfadd9ede11 · inbound

To Tune or Not To Tune? How About the Best of Both Worlds? cites this paper.

To Tune or Not To Tune? How About the Best of Both Worlds? Neural Architectures for Named Entity Recognition

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:46:30.563366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation cbb5ec8f-6886-439d-986b-27ddac86ce6d · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models Neural Architectures for Named Entity Recognition

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:58:54.858750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation dda50b72-0316-4d58-aa87-bd53a8a1bf33 · 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 Neural Architectures for Named Entity Recognition

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:21:05.143353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e0455a9e-6eb4-4eaf-b292-2a6071716626 · inbound

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models cites this paper.

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models Neural Architectures for Named Entity Recognition

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T09:26:51.562427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.