Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1601.00770.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:16:54.440454Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T22:13:34.237063Z
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 d80e89b8-48d6-49b3-97fb-2aafea57cdf6 · inbound
Small Language Model Makes an Effective Long Text Extractor cites this paper.
Small Language Model Makes an Effective Long Text Extractor End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:16:54.440454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02eaee13-62d3-42ff-b420-a0186a5875ab · inbound
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics cites this paper.
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T22:13:34.331841Z
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.