Paper Citation Record · LEDGER

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.15638.

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

pith.paper-citation-record.v1
2310.15638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:16:43.211692Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:57:38.267477Z

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 04ad99ca-4d15-4c8b-a962-3202912ea1b9 · inbound

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI cites this paper.

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:43.211692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c58955e7-b660-41dd-8a1a-b4a612895b1c · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.324241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22ca6f2e-9847-457e-a48c-c74e7cf1efc0 · inbound

Few-shot LLM Synthetic Data with Distribution Matching cites this paper.

Few-shot LLM Synthetic Data with Distribution Matching CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T17:20:36.509800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99838d12-b65a-404f-9401-a39b502cd430 · inbound

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data cites this paper.

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T18:08:41.105141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532d8696-5ad1-47e4-9949-52b3cb9504f1 · inbound

Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Context cites this paper.

Value-Sensitive AI for Prayer: Balancing the Agencies Between Human and AI Agents in Spiritual Context CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:06:17.405377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37ec58c2-a0ae-424a-9820-b3cbdb1040ad · inbound

AnnotateThis: Analyzing a human-LLM system for annotating social media data with the concept of climate change mitigation pessimism cites this paper.

AnnotateThis: Analyzing a human-LLM system for annotating social media data with the concept of climate change mitigation pessimism CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:57:38.268653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.