Pith. sign in

Paper Citation Record · LEDGER

Best Practices for Text Annotation with Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05129.

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

pith.paper-citation-record.v1
2402.05129 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:38:03.049462Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5bcd57a0-3511-460d-92d1-52a33ac8499c · inbound

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification cites this paper.

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification Best Practices for Text Annotation with Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:03.049462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:03.049462Z digest=sha256:c1c5395c6bc5289e350e1a52ca62f5028a32341d3520855e8189af719632e2ab

Observation ef38ce48-3f72-4981-8798-216c26ef9866 · inbound

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction cites this paper.

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction Best Practices for Text Annotation with Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:45:50.160400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:27:05.320813Z digest=sha256:acfa206fec0d237f33043a4bdc652b94af2f3c964cc55548c058813737b6680f

Observation ccf06bc7-8d91-4277-ac7d-7accc351e6c0 · inbound

Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions cites this paper.

Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions Best Practices for Text Annotation with Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:47:12.260943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:46:09.748628Z digest=sha256:43b874dba6fb63a8b1ae27c75a28b543f19a38f6311aadd41b81d1a030999512

Observation f4eb44c3-ea37-484a-a2ec-9b0d65ec4d8b · inbound

The Role of Online Forums in Developer Understanding of Privacy Law -- A Reddit Case Study cites this paper.

The Role of Online Forums in Developer Understanding of Privacy Law -- A Reddit Case Study Best Practices for Text Annotation with Large Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.829423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T07:26:29.352971Z digest=sha256:8a8655f1c52ced3b8025957221542592a52eaa0efd05753910db35f14a0dc9d7

Observation 5198db85-e151-4640-9fe5-f9ce540ed0b0 · inbound

Automatically Evolving Prompt Guidelines for Task-Specific Optimization cites this paper.

Automatically Evolving Prompt Guidelines for Task-Specific Optimization Best Practices for Text Annotation with Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T14:46:34.393865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:46:34.393865Z digest=sha256:b332d08af1ffc56a3ccc733857cf48e4612a84397ac82518b4874c4505bc0542