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Paper Citation Record · LEDGER

A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.13364.

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

pith.paper-citation-record.v1
2402.13364 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:53.933060Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:37:54.353786Z

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 dcf0a76a-9842-4a75-804e-ca0b8e2685af · inbound

LLMs as Data Annotators: How Close Are We to Human Performance cites this paper.

LLMs as Data Annotators: How Close Are We to Human Performance A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:37:54.358348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:37:53.933060Z digest=sha256:88022995f8115bcd39db06a0216dd86e97c40ebc1549fcfc47d887ccb3c45072

Observation e63a3e57-a56c-496f-84cf-5bc0d567ddaf · inbound

Prompt engineering using order-of-addition experiments: An application to generating two-level fractional factorial designs cites this paper.

Prompt engineering using order-of-addition experiments: An application to generating two-level fractional factorial designs A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

Reference 99

Resolution
unresolved
no resolver link, observed 2026-07-11T06:09:35.110633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:09:35.110633Z digest=sha256:b6d2a987485076b372003a6789b5e599c908cdebfb7e65dccd79211a6fe96320