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Paper Citation Record · LEDGER

Neural Architectures for Nested NER through Linearization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1908.06926.

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

pith.paper-citation-record.v1
1908.06926 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:16:54.483916Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:16:54.789412Z

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 d9b29b39-22fd-4c20-9684-d0a7e6bd3a57 · inbound

Small Language Model Makes an Effective Long Text Extractor cites this paper.

Small Language Model Makes an Effective Long Text Extractor Neural Architectures for Nested NER through Linearization

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:16:54.794220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T13:16:54.483916Z digest=sha256:12baee7351a34ea25858d08aeceedd51ce125dcc63f37181be490cbd443a3ca5

Observation 0eec18ca-8133-423b-abb6-a8754f57d574 · inbound

FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts cites this paper.

FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts Neural Architectures for Nested NER through Linearization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T05:57:01.212727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:57:01.212727Z digest=sha256:8af7ae7434824815e933b866f0a6abb7e76d2c413fdb761430e5b81f9216f140