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Paper Citation Record · LEDGER

AutoRE: Document-Level Relation Extraction with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.14888.

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

pith.paper-citation-record.v1
2403.14888 v3

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 2026-08-07T12:13:19.714890Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:13:21.330926Z

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 2a13aa06-7e8b-4911-9eec-797247b2bfa4 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race AutoRE: Document-Level Relation Extraction with Large Language Models

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:13:21.360912Z

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=arxiv_source observed=2026-08-07T12:13:19.714890Z digest=sha256:d5d5419d9de4df170c194f2cd75e580967d16f93fa75e59f7a243ef31ff951fd

Observation 8d50a626-7e93-4e2a-9fd7-77fcbee9fb02 · inbound

CONSISTRE: A Unified Consistency-Aware Framework for Document-Level Relation Extraction with Large Language Models cites this paper.

CONSISTRE: A Unified Consistency-Aware Framework for Document-Level Relation Extraction with Large Language Models AutoRE: Document-Level Relation Extraction with Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T18:32:12.737324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:32:12.737324Z digest=sha256:60955ef7926b2a18df8038583d0d1ef3a814437bae1221813bfb753a03352f20