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Paper Citation Record · LEDGER

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1604.00734.

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

pith.paper-citation-record.v1
1604.00734 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:23:28.286542Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:23:29.581828Z

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 c6c25c27-de62-41d3-a4fb-5d62295f42af · inbound

JEL: A Novel Model Linking Knowledge Graph entities to News Mentions cites this paper.

JEL: A Novel Model Linking Knowledge Graph entities to News Mentions Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:23:29.666888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-04T21:23:28.286542Z digest=sha256:5371e9756e5dd94aa9c12856a53d67383e328d1a0d80b4e576573aeca4f194d3