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Paper Citation Record · LEDGER

Document-Level Event Argument Extraction by Conditional Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.05919.

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

pith.paper-citation-record.v1
2104.05919 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:12.467476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.597478Z

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 bbd40dd3-3487-4a2f-b2aa-12bd30b486e3 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Document-Level Event Argument Extraction by Conditional Generation

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.600555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:9ea5deb574e4d59ea7ef51516eb56b74e171f3017ed405980f91d11b663f6bd6

Observation 5fe8271f-2b21-4b69-bb38-1f74e98067b5 · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction Document-Level Event Argument Extraction by Conditional Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:12.467476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:12.467476Z digest=sha256:d3daa189427b6b71629eb9c77b7aea7314e8a53cec879238e02da228ae978582