Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T22:08:11.410285Z
Paper Citation Record · LEDGER
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.21414.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact12
- verified fuzzy41
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2ccbc84d-18ce-4b5f-a5ff-82645dd0d71a · outbound
This paper cites A survey on employing large language models for text-to-sql tasks.ACM Comput.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis A survey on employing large language models for text-to-sql tasks.ACM Comput
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.441332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eda81d4c-f007-4e51-b1c9-86d9787d6ed4 · outbound
This paper cites Sciencebenchmark: A complex real-world benchmark for evaluating natural language to SQL systems.Proc.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Sciencebenchmark: A complex real-world benchmark for evaluating natural language to SQL systems.Proc
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.445907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8d30ddf2-f807-453e-a2c4-a20ae0bcfaaa · outbound
This paper cites Ehrsql: A practical text-to-SQL benchmark for electronic health records.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Ehrsql: A practical text-to-SQL benchmark for electronic health records
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.427275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98578899-1444-4a21-b17b-99bd128f5f64 · outbound
This paper cites Grappa: Grammar-augmented pre-training for table semantic parsing.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Grappa: Grammar-augmented pre-training for table semantic parsing
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.352568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ae52815-33ed-4856-bf34-8bcdaa4f5549 · outbound
This paper cites RESDSQL: Decoupling schema linking and skeleton parsing for text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis RESDSQL: Decoupling schema linking and skeleton parsing for text-to-SQL
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.373452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f655521a-ea77-4b95-9f33-bca9d63f6824 · outbound
This paper cites Generating data for symbolic language with large language models.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Generating data for symbolic language with large language models
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.369498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation daeed545-ec04-4e2b-8503-a450042b743f · outbound
This paper cites Synthesizing text-to-SQL data from weak and strong LLMs.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Synthesizing text-to-SQL data from weak and strong LLMs
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.377741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b7aea256-e938-40c8-ad0c-7dd9794e7f99 · outbound
This paper cites Omnisql: Synthesizing high-quality text-to-SQL data at scale.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Omnisql: Synthesizing high-quality text-to-SQL data at scale
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.386542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a391086f-d646-49cf-8df3-b4d3cc11cde9 · outbound
This paper cites Exesql: Self- taught text-to-SQL models with execution-driven bootstrapping for SQL dialects.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Exesql: Self- taught text-to-SQL models with execution-driven bootstrapping for SQL dialects
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.399511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efbb589b-f03e-41ec-b08b-6d5ced244441 · outbound
This paper cites XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:16:17.315149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2529caee-89f6-4287-9831-0355ecd9d170 · outbound
This paper cites SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended).
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T14:16:17.775793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7554f56-399b-4474-9174-9bc3dc71e48c · outbound
This paper cites SQL-Factory: A multi-agent framework for high-quality and large-scale SQL generation.Proc.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SQL-Factory: A multi-agent framework for high-quality and large-scale SQL generation.Proc
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.408910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b95037b6-05f2-491e-b4dd-4db51ac7f51b · outbound
This paper cites A study of in-context-learning-based text-to-SQL errors.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis A study of in-context-learning-based text-to-SQL errors
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:17.026421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 951349da-cd7a-431c-b709-a070092172ea · outbound
This paper cites SHARE: An SLM- based hierarchical action corREction assistant for text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SHARE: An SLM- based hierarchical action corREction assistant for text-to-SQL
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.418479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f30f4ea4-31b7-4a2c-9c8b-979e3a2b87ce · outbound
This paper cites Data augmentation with hierarchical SQL-to-question generation for cross-domain text-to-SQL parsing.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Data augmentation with hierarchical SQL-to-question generation for cross-domain text-to-SQL parsing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.431748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation edd3b4c6-2d59-45b9-b510-7e385ef40079 · outbound
This paper cites SynQL: Synthetic data generation for in-domain, low-resource text-to- SQL parsing.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SynQL: Synthetic data generation for in-domain, low-resource text-to- SQL parsing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.357505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22c557c9-fcb4-4f82-a368-b33bc3521a4c · outbound
This paper cites SQLForge: Synthesizing reliable and diverse data to enhance text-to-SQL reasoning in LLMs.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SQLForge: Synthesizing reliable and diverse data to enhance text-to-SQL reasoning in LLMs
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.390751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bdf87d55-3dac-4a80-b104-9e99b7e89efa · outbound
This paper cites Hierarchical Neural Data Synthesis for Semantic Parsing.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Hierarchical Neural Data Synthesis for Semantic Parsing
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:17.146097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1396260d-7e77-4099-b940-e399977ded8c · outbound
This paper cites Question generation from sql queries improves neural semantic parsing.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Question generation from sql queries improves neural semantic parsing
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.342126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3d136a96-0122-4bbf-a8e5-87bf328864d5 · outbound
This paper cites REFORMER: A ChatGPT-driven data synthesis framework elevating text-to-SQL models.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis REFORMER: A ChatGPT-driven data synthesis framework elevating text-to-SQL models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.382072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d2cf9755-1ca9-49b2-be56-b2d6f63fc314 · outbound
This paper cites SING-SQL: A synthetic data generation framework for in-domain text-to-SQL translation.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SING-SQL: A synthetic data generation framework for in-domain text-to-SQL translation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:17.106029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e6be041f-a23f-49e5-bcf8-d368ba4033cd · outbound
This paper cites Knowledge-to-sql: Enhancing sql generation with data expert LLM.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Knowledge-to-sql: Enhancing sql generation with data expert LLM
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.450684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba347ed1-cdad-4994-a37f-712b82947f1c · outbound
This paper cites Bridging the gap between text-to-sql research and real-world applications: A unified all-in-one framework for text-to-sql.Knowledge-Based Systems, 306:112697, dec 2024.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Bridging the gap between text-to-sql research and real-world applications: A unified all-in-one framework for text-to-sql.Knowledge-Based Systems, 306:112697, dec 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.404455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09582514-8148-4dd4-b343-144061730eda · outbound
This paper cites Linkalign: Scalable schema linking for real-world large-scale multi- database text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Linkalign: Scalable schema linking for real-world large-scale multi- database text-to-SQL
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.365834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bacbb97f-195c-45af-9ce0-9090474ca279 · outbound
This paper cites Extractive Schema Linking for Text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Extractive Schema Linking for Text-to-SQL
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:16.879364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 70f4301c-158b-457c-9d1d-7d06fedcafc3 · outbound
This paper cites A confidence-based knowledge integration framework for cross-domain table question answering.Knowledge-Based Systems, 306:112718, dec 2024.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis A confidence-based knowledge integration framework for cross-domain table question answering.Knowledge-Based Systems, 306:112718, dec 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.337754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6f1c91f-9f7c-440d-89d2-f421807a9e42 · outbound
This paper cites A multi-pattern retrieval- augmented architecture for text-to-SQL semantic parsing.Information Processing & Management, 62(2):103975, mar 2025.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis A multi-pattern retrieval- augmented architecture for text-to-SQL semantic parsing.Information Processing & Management, 62(2):103975, mar 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.395290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c1c58716-e03f-4a65-be60-f81a0ff42585 · outbound
This paper cites Structure-guided large language models for text-to-SQL generation.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Structure-guided large language models for text-to-SQL generation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.361620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 63af520c-6dde-40a5-8571-3e5a96d12042 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Chain-of-thought prompting elicits reasoning in large language models
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.314225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9dc98e9c-ab57-48a7-a014-d66970a90412 · outbound
This paper cites How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:16.613256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 384b86f7-c6b0-4d6d-8e05-8278f44a0966 · outbound
This paper cites Chain-of-query: Unleashing the power of LLMs in SQL-aided table understanding via multi-agent collaboration.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Chain-of-query: Unleashing the power of LLMs in SQL-aided table understanding via multi-agent collaboration
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.320204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1b87bbf2-0327-4583-a33d-97c399c9a8e3 · outbound
This paper cites Parsql: Enhancing text-to-sql through sql parsing and reasoning.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Parsql: Enhancing text-to-sql through sql parsing and reasoning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.347487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40f7f445-da83-49bd-915f-70ed327f73c6 · outbound
This paper cites MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:16:17.515045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aae94db0-eaaa-47b7-bf53-a12d0993ce91 · outbound
This paper cites Chain-of-program prompting with open-source large language models for text-to-sql.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Chain-of-program prompting with open-source large language models for text-to-sql
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.305248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation deab9ea9-1eee-4125-98fd-7071c8d80b50 · outbound
This paper cites an unresolved cited work.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T15:03:07.332833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e5309a15-2ef1-46f7-a79e-6c15ab393854 · outbound
This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.422593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e747e11-5ec9-4252-926f-75ded7e429af · outbound
This paper cites Can LLM already serve as a database interface? A BIg bench for large-scale database grounded text-to-SQLs.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Can LLM already serve as a database interface? A BIg bench for large-scale database grounded text-to-SQLs
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.300927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9a677d35-59d2-479f-a2b4-d99f4067efee · outbound
This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:17.719480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9138159e-7ecd-40f0-b0ad-e3bd2ca5f0fd · outbound
This paper cites Woodward, Jinxia Xie, and Pengsheng Huang.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Woodward, Jinxia Xie, and Pengsheng Huang
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.309857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 08ba3596-1fd5-4993-a857-9f3839046cad · outbound
This paper cites Structure-grounded pretraining for text-to-SQL.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Structure-grounded pretraining for text-to-SQL
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.324056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fc9f89a2-8d8e-429b-a1e7-324e38f56c35 · outbound
This paper cites Exploring underexplored limitations of cross-domain text-to-SQL generalization.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Exploring underexplored limitations of cross-domain text-to-SQL generalization
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.291434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8df3076c-ab84-4323-bf0d-f4f9e32c5fd3 · outbound
This paper cites CodeS: Towards building open-source language models for text-to-SQL.Proc.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis CodeS: Towards building open-source language models for text-to-SQL.Proc
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.414025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0a6ac00d-88ab-4492-bade-83bcc474a5e0 · outbound
This paper cites Semantic evaluation for text-to-SQL with distilled test suites.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Semantic evaluation for text-to-SQL with distilled test suites
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.436266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa02ba64-35d0-438a-815f-14ac8fb381f0 · outbound
This paper cites 14 PRIME AI paper.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis 14 PRIME AI paper
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.282293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f14f3611-c0cd-4d80-8207-db2ba7eee540 · outbound
This paper cites Qwen3 Technical Report.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Qwen3 Technical Report
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:16:16.538289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82f57766-ecf3-46c7-bfbe-ddc665d81237 · outbound
This paper cites Efficient memory management for large language model serving with pagedattention.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Efficient memory management for large language model serving with pagedattention
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.286989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ee6641de-e874-43a2-b5fb-0881fab59e2c · outbound
This paper cites Qwen2.5- coder technical report.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Qwen2.5- coder technical report
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.278515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2252c530-d884-48e7-8d9f-6685315bc733 · outbound
This paper cites SWIFT: A scalable lightweight infrastructure for fine-tuning.Proceedings of the AAAI Conference on Artificial Intelligence, 39(28):29733–29735, apr 2025.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis SWIFT: A scalable lightweight infrastructure for fine-tuning.Proceedings of the AAAI Conference on Artificial Intelligence, 39(28):29733–29735, apr 2025
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.296688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78b65d9c-d389-4a66-ac51-c5240b8afe99 · outbound
This paper cites Zero-infinity: Breaking the GPU memory wall for extreme scale deep learning.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Zero-infinity: Breaking the GPU memory wall for extreme scale deep learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.328249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 601106a3-2827-49d5-9796-d4e077b58dae · outbound
This paper cites Decoupled weight decay regularization.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Decoupled weight decay regularization
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.267708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b52452d1-c185-4fa6-a41d-6be5ce400530 · outbound
This paper cites Qwen2.5 Technical Report.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Qwen2.5 Technical Report
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:16:17.376355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4c6f892b-fc7c-4c33-9193-39a38cf8b0f4 · outbound
This paper cites DeepSeek-V3 Technical Report.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis DeepSeek-V3 Technical Report
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:16:16.727958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e3e4d50-3ae9-4b4f-a666-d67a24c29cb2 · outbound
This paper cites DIN-SQL: Decomposed in-context learning of text-to-sql with self-correction.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis DIN-SQL: Decomposed in-context learning of text-to-sql with self-correction
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.272289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cfe4d014-63b3-4e96-a2e7-6391db81aaf3 · outbound
This paper cites CHESS: Contextual Harnessing for Efficient SQL Synthesis.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis CHESS: Contextual Harnessing for Efficient SQL Synthesis
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:24:23.090090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 01e7c820-9081-4e88-821c-739585d86911 · outbound
This paper cites an unresolved cited work.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T15:03:07.253987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3ac457d1-113c-42cb-9b12-2900b30be5ba · outbound
This paper cites an unresolved cited work.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T15:03:07.257877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b268dc09-1869-42d4-844f-20411609c516 · outbound
This paper cites an unresolved cited work.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T15:03:07.261971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d818d1c9-6113-497d-b6fe-7089caba4bed · outbound
This paper cites label”: 0 or 1, “reasoning.
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis label”: 0 or 1, “reasoning
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:03:07.250395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.