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Paper Citation Record · LEDGER

ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.17342.

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

pith.paper-citation-record.v1
2310.17342 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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:57.329271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:49:54.632751Z

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 b1e524b6-5e97-4d41-91a9-73ef8b6ed870 · inbound

Meta-aware Learning in text-to-SQL Large Language Model cites this paper.

Meta-aware Learning in text-to-SQL Large Language Model ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:57.329271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:57.329271Z digest=sha256:029a38b7bde84b5cff7b1c26dc3c5302e0b1fda1be6a579e36723ca2244cfa60

Observation f54fae96-d2e7-45e5-b0aa-7fa7a3132c62 · inbound

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning cites this paper.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T22:48:32.097902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:48:32.097902Z digest=sha256:ac9a408474afda0e637d2aaa892a2a898bec6852ccfff244bb2ebc0d0a8c0d05

Observation 6471bb9b-1d05-4a70-ae82-2a569e4293f3 · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:49:54.635914Z

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=2026-06-26T02:38:20.300232Z digest=sha256:fa101d3da325ed962183e3720fa15129ae5fb72a4e3427b43f2e98f7401c0bb4

Observation 2401e599-9e87-4826-87bf-c65e5da84dc9 · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:09.776777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:32:09.776777Z digest=sha256:3c2689c047a02a36b70eb426f71d286fcc6b22436711e0bfa701ee1d90dad7b9

Observation b8aab300-6737-4589-a4a7-f7f4b901ddc5 · inbound

Database Context Compression for Text-to-SQL on Real-World Large Databases cites this paper.

Database Context Compression for Text-to-SQL on Real-World Large Databases ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.735983Z

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=2026-06-30T00:49:34.390197Z digest=sha256:4b6fc0517833d61278146577e31194976a4111fe7f7139d3e27b848140fffdb0