Paper Citation Record · LEDGER

Large Language Models as Data Preprocessors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2308.16361.

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

pith.paper-citation-record.v1
2308.16361 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:26.085479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.322431Z

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 84df6ce1-b464-46c9-ab56-4872ecc75f9a · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Large Language Models as Data Preprocessors

Reference 219

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.029813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0acda1d-7d58-4d78-9ddf-17c262a2e433 · inbound

Large Language Models for Predictive Analysis: How Far Are They? cites this paper.

Large Language Models for Predictive Analysis: How Far Are They? Large Language Models as Data Preprocessors

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:26.085479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a36521d-8c83-42eb-85dc-8073c63c1d49 · inbound

Towards Scalable Schema Mapping using Large Language Models cites this paper.

Towards Scalable Schema Mapping using Large Language Models Large Language Models as Data Preprocessors

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:35.211210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167ab8dd-bad4-450b-9ae0-7a8b773e333e · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Large Language Models as Data Preprocessors

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:37.811300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9196a587-78f6-4616-846c-f88a41b21907 · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics Large Language Models as Data Preprocessors

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:54:13.040098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6aae2ee3-93c4-4d84-9479-5824d790acc2 · inbound

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution cites this paper.

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution Large Language Models as Data Preprocessors

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:33:59.185741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bba9e4c-48ee-4b3b-b4f4-ed2529551e40 · inbound

FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction cites this paper.

FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction Large Language Models as Data Preprocessors

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.512548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efb52754-627d-4a69-b6fd-023125d18263 · inbound

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning cites this paper.

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning Large Language Models as Data Preprocessors

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:50:11.324089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.