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Paper Citation Record · LEDGER

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.00228.

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

pith.paper-citation-record.v1
1909.00228 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:32.228756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:33:39.864401Z

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 89bf25f4-0f10-45a4-941a-d1cb86ddded6 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.867413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:5c4b9c3c2c9cb5e7db2a225fcbe1723f41921cf3130298549ed3477be8221736

Observation 337a582e-3c97-4f8a-9191-87b5f85288db · inbound

Multi-Relation Extraction in Entity Pairs using Global Context cites this paper.

Multi-Relation Extraction in Entity Pairs using Global Context Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T14:49:32.228756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:49:32.228756Z digest=sha256:b8db9215f3964c4c00dc41e490ada11a42a5143c44d56d6e6068c19902cf0493