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Paper Citation Record · LEDGER

SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.13408.

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

pith.paper-citation-record.v1
2406.13408 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:33.412031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:35:55.963903Z

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 29ba5d68-2171-4747-a78a-efa783c0484c · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:33.412031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:33.412031Z digest=sha256:b26886aa7531a1b057d2a21e8ae6cebb4ff3e538637fd822161227256f3bf552

Observation 78a9bd4a-2767-49ea-a80a-4583b8b64c0e · inbound

Chatting with your ERP: A Recipe cites this paper.

Chatting with your ERP: A Recipe SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:47:55.069081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:47:55.069081Z digest=sha256:7b16e65e09e389e9d36ab3ee6914e2818ed6ee92f0a170b771370861c20549b0

Observation 68781b53-5b38-40d6-bb3c-38dcb55bf673 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:35:55.965552Z

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.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:b25c41feb82ad5c96481b9bc733710bcb297a1f21f5447a2db8bdcecaa6a1c70

Observation 439202c3-41e8-455e-99b9-3843f22d477f · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T18:43:45.117803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:43:45.117803Z digest=sha256:c90ea48cb32e0ede1c5d97d58dbdd3e989638844c1f3ceae9e465d4d8bd7ca55

Observation ca690b74-aaea-4d83-b7c3-f5dfb7421e3f · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.612580Z

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.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:5586243a51e3595b182f7eb80f0a664fd88c01e92417509dc5bcabbebcff9686

Observation f693e5ea-6cd8-4d88-a5d4-2598b53c7529 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration

Reference 203

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:01:00.487969Z

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.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:9c4606517366ea05f5ee2ec9417989b8ba2f153c75521d94784e792f5bbb646f