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Paper Citation Record · LEDGER

Empirical Analysis of Dialogue Relation Extraction with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17802.

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

pith.paper-citation-record.v1
2404.17802 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:12.020010Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:40:56.496774Z

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 5e4ac6b5-bb99-4fdf-9bfc-e09d62483e38 · 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 Empirical Analysis of Dialogue Relation Extraction with Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:12.020010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:12.020010Z digest=sha256:84d91e544a714ca57c0a8198202ccf26336e561696b9ef45c7e3e5e325368a9e

Observation 5fc0bbe9-a198-493a-8963-328d6468d9d4 · inbound

Dialogue-Based Multi-Dimensional Relationship Extraction from Novels cites this paper.

Dialogue-Based Multi-Dimensional Relationship Extraction from Novels Empirical Analysis of Dialogue Relation Extraction with Large Language Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:40:56.566435Z

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=2026-08-06T19:40:55.786754Z digest=sha256:944d8d9f7a74307b4d57b3251865b6df739fe5e010a4e452953c413f050b4ae1

Observation c8915d32-8bb7-437f-9eca-8df153faa4ae · inbound

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems cites this paper.

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems Empirical Analysis of Dialogue Relation Extraction with Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T19:10:15.118585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:10:15.118585Z digest=sha256:b3da80529de11d51aadab626939f6303bbbafaca656aa58a81c8ce2a9f2ff90c