Paper Citation Record · LEDGER

Large Language Models for Data Annotation and Synthesis: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.13446.

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

pith.paper-citation-record.v1
2402.13446 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:11:41.653118Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:36:22.744049Z

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 30e679d8-bedb-4738-bb50-b69b01b3dced · 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 Large Language Models for Data Annotation and Synthesis: A Survey

Reference 144

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:20:59.306635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf0c0fa3-368e-4a58-98c5-4405fedf4c27 · inbound

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation cites this paper.

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation Large Language Models for Data Annotation and Synthesis: A Survey

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:45:18.344079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f614c4a-48d5-4d10-87cf-609af2ab4924 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Large Language Models for Data Annotation and Synthesis: A Survey

Reference 191

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T21:22:09.514444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92527c59-d016-460c-89fa-24f1b07f8594 · inbound

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals cites this paper.

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals Large Language Models for Data Annotation and Synthesis: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T20:11:41.653118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af533b89-6c94-4746-a1fb-0545c8e0640f · inbound

CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China cites this paper.

CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China Large Language Models for Data Annotation and Synthesis: A Survey

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:36:07.270915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6964569-ae29-403b-ad3c-bac74c402622 · inbound

CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China cites this paper.

CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China Large Language Models for Data Annotation and Synthesis: A Survey

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:54:21.753599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation abddd7ce-11ce-4f58-80fb-6d9488dba6a0 · inbound

StackingNet: Collective Inference Across Independent AI Foundation Models cites this paper.

StackingNet: Collective Inference Across Independent AI Foundation Models Large Language Models for Data Annotation and Synthesis: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:31:20.770897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab0b7c9-48ac-4952-be3f-d27a8193a155 · inbound

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning cites this paper.

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning Large Language Models for Data Annotation and Synthesis: A Survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:51.204652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 782ac578-6f2c-4c1b-ac28-9e6b17606784 · inbound

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults cites this paper.

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults Large Language Models for Data Annotation and Synthesis: A Survey

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:12:58.592493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac3aa876-2042-421b-a91a-b24eb9a1a247 · inbound

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity cites this paper.

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity Large Language Models for Data Annotation and Synthesis: A Survey

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:09.385592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19db3dc3-6af7-4e80-ab7b-b621e0d733cb · inbound

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents cites this paper.

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents Large Language Models for Data Annotation and Synthesis: A Survey

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:26:09.243349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78547f2c-e9b7-4c3b-a104-c127a5c2093f · inbound

Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data cites this paper.

Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data Large Language Models for Data Annotation and Synthesis: A Survey

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.335055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 569e2cee-64a2-45ec-8887-1ee5ef61b6d5 · inbound

Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions cites this paper.

Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions Large Language Models for Data Annotation and Synthesis: A Survey

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.297948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e98299f-b561-4161-ba1a-b1f50de260af · inbound

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt cites this paper.

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt Large Language Models for Data Annotation and Synthesis: A Survey

Reference 257

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:36:22.746703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf5c6717-07e7-4222-8962-6f7ca6fb9761 · inbound

AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI cites this paper.

AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI Large Language Models for Data Annotation and Synthesis: A Survey

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:54:11.356384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bf83782-2c4a-4d09-9b2b-0eb5e0646247 · inbound

FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery cites this paper.

FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery Large Language Models for Data Annotation and Synthesis: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T02:58:54.098643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.