Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving reference mining in patents with BERT
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.01039.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:53:00.115996Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T04:53:00.319289Z
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 f8910b15-11ac-48ed-a047-367b6aa1b1c8 · inbound
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references cites this paper.
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references Improving reference mining in patents with BERT
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:53:00.324320Z
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.
Observation 5edeb25a-a1bf-487b-b134-aa08c37d6d72 · inbound
From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models cites this paper.
From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models Improving reference mining in patents with BERT
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:27:04.667255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.