Paper Citation Record · LEDGER

The Design of an LLM-powered Unstructured Analytics System

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.00847.

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

pith.paper-citation-record.v1
2409.00847 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:40:58.106327Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:37:22.389281Z

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 651c7b68-d64b-4855-97aa-9cdebfa186f2 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework The Design of an LLM-powered Unstructured Analytics System

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:37:22.392891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5d8fc1b-ea26-41e7-a60d-ef5062e2093e · inbound

AgenticData: An Agentic Data Analytics System for Heterogeneous Data cites this paper.

AgenticData: An Agentic Data Analytics System for Heterogeneous Data The Design of an LLM-powered Unstructured Analytics System

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:40:58.106327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b0eaed-a0e5-4ee5-94d8-54c5d753fd92 · inbound

Metadata Management for AI-Augmented Data Workflows cites this paper.

Metadata Management for AI-Augmented Data Workflows The Design of an LLM-powered Unstructured Analytics System

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:35:18.467948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d2310d-df47-428c-b60d-492180171ed5 · inbound

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives cites this paper.

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives The Design of an LLM-powered Unstructured Analytics System

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T13:20:35.804142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c824e13-33c7-435f-9511-1ff78fa63394 · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees The Design of an LLM-powered Unstructured Analytics System

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:22.157167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa67e74-d5d3-4a16-a933-0d7cb868f263 · inbound

Cortex AISQL: A Production SQL Engine for Unstructured Data cites this paper.

Cortex AISQL: A Production SQL Engine for Unstructured Data The Design of an LLM-powered Unstructured Analytics System

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:30:30.046958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c867d284-4384-4dfe-b096-47f5144fcb57 · inbound

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis cites this paper.

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis The Design of an LLM-powered Unstructured Analytics System

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:40:11.719331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fff0faf4-c994-4f82-b4c4-97d852a60509 · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework The Design of an LLM-powered Unstructured Analytics System

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.946805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bec7d39-730a-43b9-b675-5ab420af6d0b · inbound

Navigating Large-Scale Document Collections: MuDABench for Multi-Document Analytical QA cites this paper.

Navigating Large-Scale Document Collections: MuDABench for Multi-Document Analytical QA The Design of an LLM-powered Unstructured Analytics System

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.031693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7d4baaa-64af-4765-a9f4-e3c025272d6a · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models The Design of an LLM-powered Unstructured Analytics System

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.385538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be863dda-7d9d-403b-8a3b-7ff3b662233f · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models The Design of an LLM-powered Unstructured Analytics System

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.564823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.