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Paper Citation Record · LEDGER

Data Cleaning Using Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.15547.

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

pith.paper-citation-record.v1
2410.15547 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:32:56.311066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:41:33.427473Z

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 7394e6a4-6bbd-4076-b7a9-f511664e8412 · inbound

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing cites this paper.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Data Cleaning Using Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T20:32:56.311066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:32:56.311066Z digest=sha256:0d2e28d2480e8c54091b42f479df0b0809ffcf8465029d45c1482079f3f124c3

Observation 5a1c59f8-ebd5-487f-88fa-b33a30a17c38 · inbound

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections cites this paper.

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections Data Cleaning Using Large Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.430512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T12:39:39.823436Z digest=sha256:ad799f836059c8cb42742dccb7aaae1bdc79dd52a60796f7a04b9aa376f3c0d1

Observation 3fc8c9d9-a3d7-44b7-a0da-c21876ae92cb · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data Data Cleaning Using Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:05:41.510876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T22:05:11.146329Z digest=sha256:cea8f089c2899c929f7782d9595802c6f56a01c6038f9b5bbac4f21a6a484706

Observation e18e7ed0-688f-43a1-b55b-2a69e8f7f174 · inbound

AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets cites this paper.

AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets Data Cleaning Using Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T22:23:23.950170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:23:23.950170Z digest=sha256:e1b64b81a2bb7bbd32dd0a81d19479609fbaab5d8c46b18157a930c609950212