Paper Citation Record · LEDGER

ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2303.15056.

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

pith.paper-citation-record.v1
2303.15056 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:22.843126Z

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

71
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 86697ead-1457-4f21-851c-7e73d68b855e · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:22:03.749556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39ff66de-2c9a-48ef-91c3-6229f6954662 · inbound

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 240

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:25:08.120802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 882919d0-3361-467d-8025-cc4e9587a3b4 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:52:59.071717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b3ed6db-cbb8-4c8b-871d-9110df7a8b91 · inbound

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning cites this paper.

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T17:34:56.917191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14cd40a8-3af4-452f-8b6b-c0d0e0a491e1 · inbound

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:32:28.019478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df608a20-961d-4a1a-a590-0248b4ba1c00 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.336442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6692d942-ac0f-47e3-bdc8-a178f2e22c9d · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 287

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:38:37.160208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e74d8083-0eb7-4527-8b75-5757ca1d7b26 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:04:10.577423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2d74b0e-2cfc-490e-b576-61cb250bd370 · inbound

Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution cites this paper.

Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:22.843126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e8af0c7-399c-4a34-a539-655d3c378448 · inbound

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation cites this paper.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.478037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ffb229-30b1-4835-97db-4bc9ddd22642 · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:39.571857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de7c867-4b92-4e56-8f9f-f55197ffec7d · inbound

Using AI to replicate human experimental results: a motion study cites this paper.

Using AI to replicate human experimental results: a motion study ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:37:30.227785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b645b4-8125-4f13-aa1f-d0ae38348701 · inbound

Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks cites this paper.

Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:04.188426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf5b94e-3daf-44dc-8c0d-f10f6e1250aa · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:02:52.213502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5887031b-d97b-4b9b-b220-606a97bca22b · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:31.709513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7167ba93-7cdb-48c7-be19-2973bd35ae55 · inbound

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection cites this paper.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:40:27.025055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cfc0df83-aab3-43b8-861d-d3db85060f38 · inbound

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection cites this paper.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26bc985-4ba5-4c0a-8145-b2e5de255ef6 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:38:21.738599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a0ad235-2a2f-4444-bec6-1eaa18c479a0 · inbound

Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization cites this paper.

Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:13:27.570712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f8d98ad-81b0-416e-be19-0a571b5ebf90 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.131669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2c27081-31b0-4912-b352-d4f76c96a608 · inbound

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph cites this paper.

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:14:18.532747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c8a3931-ef25-47f7-8f0d-3cb8305b55e4 · inbound

SERUM: State Extraction and Refinement for User Modeling cites this paper.

SERUM: State Extraction and Refinement for User Modeling ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T12:13:37.936172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.