Paper Citation Record · LEDGER

Text2SQL is Not Enough: Unifying AI and Databases with TAG

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.14717.

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

pith.paper-citation-record.v1
2408.14717 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:10:45.703008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:09.085649Z

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 f8a43dcd-6528-4dce-8f34-459a324b54dc · inbound

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics cites this paper.

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T21:10:45.703008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d23888-01e8-4241-9261-7b40cf3634c0 · inbound

NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering cites this paper.

NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:35.243518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6238b6a7-6f20-448b-a9bf-ff20aa46578a · inbound

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction cites this paper.

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:56.025942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937c693e-fbd0-4d52-a1f4-700417b23a2b · inbound

HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data cites this paper.

HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:42:11.895741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d979ea-45f9-4f9f-81ba-69dbdc81bea1 · inbound

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

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:40:11.708981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8746525-1c56-4897-99cf-95bb8ba1491e · inbound

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

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.477805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfd4c435-3c1e-4750-b28c-cb96281164cd · inbound

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

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.598417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d0e4e19-8691-4e2b-891b-16edfd209bed · inbound

Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines cites this paper.

Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:26:54.157104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a15dce9-367e-478f-8291-595270f2e9ac · inbound

Query-Centric Optimization of AI Workflows via Approximate Query Processing and Proxy Models cites this paper.

Query-Centric Optimization of AI Workflows via Approximate Query Processing and Proxy Models Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:09.087090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.