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Paper Citation Record · LEDGER

CodeS: Towards Building Open-source Language Models for Text-to-SQL

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.16347.

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

pith.paper-citation-record.v1
2402.16347 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:47.261026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.358167Z

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 94289bd8-8323-4031-b1f2-27fbc0d476f7 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 254

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T13:32:17.544455Z

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.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:39f5aaa6436b3df9ec3b94acaf893a54a00fab791856ad6476d83ad2622735b3

Observation 6058c9ef-8a7f-4acc-897c-0b33f8a3aa16 · inbound

CHESS: Contextual Harnessing for Efficient SQL Synthesis cites this paper.

CHESS: Contextual Harnessing for Efficient SQL Synthesis CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:24:22.977144Z

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.

source=arxiv_source observed=2026-05-19T11:24:22.789901Z digest=sha256:f7487c81310c871f46f0f30ef545273fcae04e3428bcf23d049c4586e6338e5e

Observation 983ad3fe-3921-476b-9c1a-760c3648f354 · inbound

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes cites this paper.

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:47.261026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:47.261026Z digest=sha256:1d47224bb4000d51ba1069741532b8fa591eadfcf6a29aa8820e171fe2c4a6e7

Observation 9d64042b-0ec0-410b-9b21-b1f6372925ae · inbound

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding cites this paper.

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:27.117054Z

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.

source=pdf_text observed=2026-05-07T07:35:50.936221Z digest=sha256:fdb7dcbb70fe52414fea7caaa2cd4d5d92276f75040e4288c391c6368e0beb78

Observation a9d2900a-b4b5-48b6-a904-bf37ecf88dab · inbound

Data Flow Control: Data Safety Policies for AI Agents cites this paper.

Data Flow Control: Data Safety Policies for AI Agents CodeS: Towards Building Open-source Language Models for Text-to-SQL

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.359449Z

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.

source=pdf_text observed=2026-06-27T23:28:47.480408Z digest=sha256:fda8dd788c9cf5b2a0a08a306fae481a0f3814a38bed699e9454d6ef2b9e4c84