Paper Citation Record · LEDGER

Automated Annotation with Generative AI Requires Validation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2306.00176.

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

pith.paper-citation-record.v1
2306.00176 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:55.941717Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

35
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c11851c0-648c-4050-96c7-615eaf7e6704 · inbound

Structuring Radiology Reports: Challenging LLMs with Lightweight Models cites this paper.

Structuring Radiology Reports: Challenging LLMs with Lightweight Models Automated Annotation with Generative AI Requires Validation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:55.941717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbac3210-2636-4df4-aac0-fe356c764e7f · inbound

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications cites this paper.

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications Automated Annotation with Generative AI Requires Validation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:33.977301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb555af-5dae-4ced-a911-d577104fadff · inbound

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

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification Automated Annotation with Generative AI Requires Validation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:03.033719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222f21f9-e942-4796-81f8-6699b50b9caa · 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 Automated Annotation with Generative AI Requires Validation

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:02:52.269813Z

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 c1834796-0370-46c4-ac36-3cbe7a26b434 · 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 Automated Annotation with Generative AI Requires Validation

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:31.730528Z

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 dcf7303c-583f-4dc1-884e-a31c34fd64c2 · 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 Automated Annotation with Generative AI Requires Validation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.011321Z

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 6cd86732-cf4b-4ac6-872b-c79084c57c03 · 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 Automated Annotation with Generative AI Requires Validation

Reference 9

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 919b8be2-0722-4637-b572-983813e721b2 · inbound

LLM Predictive Scoring and Validation: Inferring Experience Ratings from Unstructured Text cites this paper.

LLM Predictive Scoring and Validation: Inferring Experience Ratings from Unstructured Text Automated Annotation with Generative AI Requires Validation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:55:28.694422Z

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 548b3691-7f42-4fc3-903d-e6425ccb8a9b · inbound

LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification cites this paper.

LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification Automated Annotation with Generative AI Requires Validation

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:27.318769Z

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 b0d4beca-0fc7-4b20-bce0-2db67f221357 · inbound

How Much Does Persuasion Strategy Matter? LLM-Annotated Evidence from Charitable Donation Dialogues cites this paper.

How Much Does Persuasion Strategy Matter? LLM-Annotated Evidence from Charitable Donation Dialogues Automated Annotation with Generative AI Requires Validation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:28:04.054794Z

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 6e18edc4-5502-4f03-98b4-8278c1ad5771 · inbound

What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media cites this paper.

What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media Automated Annotation with Generative AI Requires Validation

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:17:14.873273Z

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 de043efc-4110-4a25-aaff-0f1d876ab016 · inbound

The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model Panel cites this paper.

The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model Panel Automated Annotation with Generative AI Requires Validation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:49.405965Z

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 95bd24b1-d14b-4697-a501-2da8904b2673 · inbound

Correct codes for the wrong reasons? validating LLMs as measurement instruments for theoretical constructs cites this paper.

Correct codes for the wrong reasons? validating LLMs as measurement instruments for theoretical constructs Automated Annotation with Generative AI Requires Validation

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:25:50.001677Z

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 c3ce0b92-1081-4b08-b117-5d09ef323d36 · inbound

Talking Politics with Artificial Intelligence cites this paper.

Talking Politics with Artificial Intelligence Automated Annotation with Generative AI Requires Validation

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:26:28.410008Z

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 64df4f0b-1e9f-4b55-9e2d-b3b396816c3d · inbound

Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy cites this paper.

Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy Automated Annotation with Generative AI Requires Validation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:06:59.077046Z

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 45012712-32f7-4e7b-8ced-0951a8a400c8 · inbound

A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol cites this paper.

A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol Automated Annotation with Generative AI Requires Validation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-14T02:31:04.299071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ced4911-8529-4d80-a3a4-0cf03fe00d9a · inbound

Auditing Differential Visibility of Political Content on TikTok cites this paper.

Auditing Differential Visibility of Political Content on TikTok Automated Annotation with Generative AI Requires Validation

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:13.296342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.