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Paper Citation Record · LEDGER

Meta-aware Learning in text-to-SQL Large Language Model

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.18929.

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

pith.paper-citation-record.v1
2505.18929 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:59.570318Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy6
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation fd162bd2-24a1-4856-a5b5-a45f47385670 · outbound

This paper cites Next-generation database interfaces: A survey of llm-based text-to-sql,.

Meta-aware Learning in text-to-SQL Large Language Model Next-generation database interfaces: A survey of llm-based text-to-sql,

Reference 1

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Observation 6aedb25b-b8e6-42d9-8886-225d6e5c53c8 · outbound

This paper cites Din-sql: Decomposed in-context learning of text-to-sql with self-correction,.

Meta-aware Learning in text-to-SQL Large Language Model Din-sql: Decomposed in-context learning of text-to-sql with self-correction,

Reference 2

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Observation e98b5882-25e2-4389-91f8-cd1578d75682 · outbound

This paper cites Codes: Towards building open-source language models for text-to-sql,.

Meta-aware Learning in text-to-SQL Large Language Model Codes: Towards building open-source language models for text-to-sql,

Reference 3

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Observation 85089172-158a-43cc-a434-81da72883fc5 · outbound

This paper cites Constructing an interactive natural language interface for relational databases,.

Meta-aware Learning in text-to-SQL Large Language Model Constructing an interactive natural language interface for relational databases,

Reference 4

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Observation bf46e63b-1d04-4d0d-b0a9-82baabe7c198 · outbound

This paper cites A rule based approach for nlp based query processing,.

Meta-aware Learning in text-to-SQL Large Language Model A rule based approach for nlp based query processing,

Reference 5

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Observation d50513a8-71be-470b-bbc2-3284bc2676d8 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Meta-aware Learning in text-to-SQL Large Language Model Sequence to Sequence Learning with Neural Networks

Reference 6

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Observation 801c7daa-a7ff-45af-ad29-c30666f45ba8 · outbound

This paper cites Attention is all you need,.

Meta-aware Learning in text-to-SQL Large Language Model Attention is all you need,

Reference 7

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Observation 396b0b7f-9e44-48c4-bede-0a342854d372 · outbound

This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.

Meta-aware Learning in text-to-SQL Large Language Model Evaluating the Text-to-SQL Capabilities of Large Language Models

Reference 8

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Observation 5c89d86d-fec5-4e02-94de-3af30e8ce323 · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

Meta-aware Learning in text-to-SQL Large Language Model Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 9

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Observation 2e649000-587f-4d4a-90be-196281ed9303 · outbound

This paper cites GPT-4 Technical Report.

Meta-aware Learning in text-to-SQL Large Language Model GPT-4 Technical Report

Reference 10

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Observation 299dd98c-12c2-48c6-9e02-d5d3bd08dad8 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Meta-aware Learning in text-to-SQL Large Language Model Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 11

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Observation fc39bd58-9e4c-4938-9d92-d4e51363d44f · outbound

This paper cites SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended).

Meta-aware Learning in text-to-SQL Large Language Model SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)

Reference 12

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Observation bd9adcd0-5a58-4c3e-8cc8-d72322cc823f · outbound

This paper cites Benchmarking the text-to-sql capability of large language models: A comprehensive evaluation,.

Meta-aware Learning in text-to-SQL Large Language Model Benchmarking the text-to-sql capability of large language models: A comprehensive evaluation,

Reference 13

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Observation d3bea09b-f237-4874-b0c1-c6181c7d7da1 · outbound

This paper cites Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation.

Meta-aware Learning in text-to-SQL Large Language Model Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

Reference 14

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Observation d7fb1136-488e-4b6f-9467-72eef53e8b71 · outbound

This paper cites Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,.

Meta-aware Learning in text-to-SQL Large Language Model Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,

Reference 15

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Observation 1ecc10a0-d3e6-41f5-a5d5-d6408ac0e154 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Meta-aware Learning in text-to-SQL Large Language Model An Introduction to Convolutional Neural Networks

Reference 16

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Observation d8fed74a-4b35-4933-85fc-cd4e35fdc28f · outbound

This paper cites A Survey on In-context Learning.

Meta-aware Learning in text-to-SQL Large Language Model A Survey on In-context Learning

Reference 17

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Observation 25795fad-84b2-46f0-9a02-5668af3453cc · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Meta-aware Learning in text-to-SQL Large Language Model A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 18

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Observation f0513710-398e-438b-9547-78d5e86a021f · outbound

This paper cites Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding.

Meta-aware Learning in text-to-SQL Large Language Model Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding

Reference 19

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Observation 21da02c4-1a93-4559-ba9a-2f6faec82683 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Meta-aware Learning in text-to-SQL Large Language Model Chain-of-thought prompting elicits reasoning in large language models,

Reference 20

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Observation b1e524b6-5e97-4d41-91a9-73ef8b6ed870 · outbound

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

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

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Observation db5c65f2-31be-4ef1-b93a-de6cfe0a3f54 · outbound

This paper cites Exploring Chain-of-Thought Style Prompting for Text-to-SQL.

Meta-aware Learning in text-to-SQL Large Language Model Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 22

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Observation 08f6d63d-177d-4546-aeaa-8fb100baf048 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Meta-aware Learning in text-to-SQL Large Language Model Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 23

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Observation 837475b1-0375-4f76-92fe-5174eddc15a1 · outbound

This paper cites Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL.

Meta-aware Learning in text-to-SQL Large Language Model Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL

Reference 24

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Observation cb631ec2-e0ca-41c6-8f93-642c7f1c21cc · outbound

This paper cites A Survey on Employing Large Language Models for Text-to-SQL Tasks.

Meta-aware Learning in text-to-SQL Large Language Model A Survey on Employing Large Language Models for Text-to-SQL Tasks

Reference 25

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Observation 8be581cd-52cd-4328-9015-55325d5b9e86 · outbound

This paper cites Mitigating forgetting in llm supervised fine-tuning and preference learning,.

Meta-aware Learning in text-to-SQL Large Language Model Mitigating forgetting in llm supervised fine-tuning and preference learning,

Reference 26

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Observation 62bf7c74-cb22-45eb-b6d2-d08f842a83b0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Meta-aware Learning in text-to-SQL Large Language Model LoRA: Low-Rank Adaptation of Large Language Models

Reference 27

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Observation c8ebc5ce-f927-41e2-ac75-cd9c4fc3f285 · outbound

This paper cites Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

Meta-aware Learning in text-to-SQL Large Language Model Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Reference 28

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Observation 047e8bb3-d182-4bae-978d-8ef24c58cfdc · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Meta-aware Learning in text-to-SQL Large Language Model Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 29

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Observation 7d7acd47-e505-4b2f-a877-eb9711662d0c · outbound

This paper cites Universal Language Model Fine-Tuning with Subword Tokenization for Polish.

Meta-aware Learning in text-to-SQL Large Language Model Universal Language Model Fine-Tuning with Subword Tokenization for Polish

Reference 30

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Observation faf906e7-6146-4639-95da-4dcf8d03631f · outbound

This paper cites TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation.

Meta-aware Learning in text-to-SQL Large Language Model TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation

Reference 31

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Observation 5e0b1ab0-621c-4fab-966f-34b25cc8f597 · outbound

This paper cites GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing.

Meta-aware Learning in text-to-SQL Large Language Model GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

Reference 32

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Observation 6ea1f3af-329a-4902-bb67-b42f65015c88 · outbound

This paper cites Data augmentation instead of explicit regularization.

Meta-aware Learning in text-to-SQL Large Language Model Data augmentation instead of explicit regularization

Reference 33

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Observation c4afdbb0-c216-405a-9a3e-1410479f6c1d · outbound

This paper cites Ada-Instruct: Adapting Instruction Generators for Complex Reasoning.

Meta-aware Learning in text-to-SQL Large Language Model Ada-Instruct: Adapting Instruction Generators for Complex Reasoning

Reference 34

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Observation 57f925e2-f2a3-4993-bcb3-7b77c8007ef3 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Meta-aware Learning in text-to-SQL Large Language Model Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 35

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Observation 8bc78bba-027b-4ed8-b730-9438438cc6a2 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Meta-aware Learning in text-to-SQL Large Language Model Code Llama: Open Foundation Models for Code

Reference 36

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source=pdf_text observed=2026-08-07T14:26:59.361583Z digest=sha256:634a5e0999eb9b55d9c3f8cb79acc0c253a3e59d6804945092c112b12eb57285

Observation 3f713f7c-a907-4c05-96e3-36a445b8431c · outbound

This paper cites PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends.

Meta-aware Learning in text-to-SQL Large Language Model PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends

Reference 37

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local_arxiv, observed 2026-08-07T14:26:59.620593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:59.541804Z digest=sha256:904107be1bd1d3f07fe71704218038e0910d39c2136bbcc6fac6aa4185ccce4d

Observation e611d721-c5aa-4e24-a6b1-642919f6924e · outbound

This paper cites Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning.

Meta-aware Learning in text-to-SQL Large Language Model Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:59.551183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:59.551183Z digest=sha256:873576cf3ace4d3b40e83e8cd52641188aa9adb3190deb28d232e8a423797dca

Observation 14e8af87-2a5c-46e6-b82d-a83041772c43 · outbound

This paper cites Progressive learning: A deep learning framework for continual learning,.

Meta-aware Learning in text-to-SQL Large Language Model Progressive learning: A deep learning framework for continual learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:00.211601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:59.565275Z digest=sha256:e966f2d1c5689c8ad9532c8e184798b4cdd07f1e343cba892ef24881226da1b3

Observation 29b30bc7-4abc-4b6c-9dd4-c39936e419b0 · outbound

This paper cites Investi- gating the catastrophic forgetting in multimodal large language model fine-tuning,.

Meta-aware Learning in text-to-SQL Large Language Model Investi- gating the catastrophic forgetting in multimodal large language model fine-tuning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:27:00.197061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:26:59.570318Z digest=sha256:aa6aace752303975d52e333b98f7146447f9a5196d745c1304ae5f68fc62dcfd

Pith citing papers

No inbound Pith citation observations are available.