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Paper Citation Record · LEDGER

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09825.

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

pith.paper-citation-record.v1
2311.09825 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:35.217215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:42:38.038529Z

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 942fb8aa-a2d7-4575-84de-d537d1f6f970 · inbound

Conflicting narratives and polarization on social media cites this paper.

Conflicting narratives and polarization on social media Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:35.217215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:35.217215Z digest=sha256:08f6eb54db919ef6b9a59c1cabdb15d7e390de58cd4ed5a7e17e7c7957caf0e1

Observation da36933e-0fa5-4f65-942f-214a5751d954 · inbound

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health cites this paper.

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:42:38.042607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:42:37.753172Z digest=sha256:b37bcd9391ecb6f569aeb2707901d34002ab0551a8596d918e91e8fc036a6fc9