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Paper Citation Record · LEDGER

Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.15307.

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

pith.paper-citation-record.v1
2405.15307 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:41:31.251016Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:42:25.950372Z

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 12d8cbba-f1c4-4ca7-aafd-39121757ac13 · inbound

PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL cites this paper.

PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T21:41:31.251016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:41:31.251016Z digest=sha256:a4efe7c7c9648281ac982f32d14843cba585c709d0fbb35adfceccd8ca86413c

Observation d19de119-52f4-49fc-b574-415b73357bf6 · inbound

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation cites this paper.

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:42:25.952947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:41:34.423951Z digest=sha256:352f9741625034f93b0d7672ee2a2f8a0d752cf06725c87ebbc6c3cd53fcfeb4

Observation 9f0af415-53bb-4606-ab8e-3ce7a6a61b10 · inbound

Automatic Metadata Extraction for Text-to-SQL cites this paper.

Automatic Metadata Extraction for Text-to-SQL Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:09.243960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:09.243960Z digest=sha256:5bec67fe149107f0c2511c5750cbc8a18ae6238face6ce433039b468d6490d1e

Observation 4d810889-cc6b-44c5-b75f-9ceb1ebc99f7 · inbound

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages cites this paper.

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:37.420842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:37.420842Z digest=sha256:73a01bdbddc9f0cfa539f817f545610607ddfaf4ff75799a5eb2411edbcd55f3

Observation 5c3104ca-aa7b-4632-9f08-c6c1083e2382 · inbound

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL cites this paper.

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:59.944375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T06:52:57.718359Z digest=sha256:ee92914fef4b6d06bddf848ad0e47d7e8a8be67989dd94110eeb727c45c95744