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Paper Citation Record · LEDGER

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2411.07763.

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

pith.paper-citation-record.v1
2411.07763 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:43:19.354311Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1034f624-a227-4bc0-b124-d186ccd04f7f · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 68

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no resolver link, observed 2026-08-12T10:09:45.277225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.277225Z digest=sha256:74325126d6981c393f18952de474ea8b6e09f53aad75795410192acc7562d807

Observation a63130b1-013f-4f70-abe9-13334fb68245 · inbound

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges cites this paper.

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 6

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no resolver link, observed 2026-08-11T20:52:21.889548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:52:21.889548Z digest=sha256:43dd3501b108fb46d32fd8d5cd08e011fac9d45bf52342a8921198abfb95b35c

Observation c6331fe4-bad6-41a8-8272-b30ac8f9757b · inbound

Task-Oriented Automatic Fact-Checking with Frame-Semantics cites this paper.

Task-Oriented Automatic Fact-Checking with Frame-Semantics Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 21

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no resolver link, observed 2026-08-10T16:21:34.727459Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:21:34.727459Z digest=sha256:49d1a109718bfa0233b58b31c14818f567cd7cf6cdf8f5c6657c8ed2c89074c9

Observation a82266f5-4043-40a6-b40d-f2ad9964ea33 · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 5

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no resolver link, observed 2026-08-10T15:25:14.473377Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:14.473377Z digest=sha256:a1b47f43449dd015d0036297514a43a26960b7e7982c5fc87dcd3966af80b7d7

Observation 74ac50a3-8a8c-44ed-8691-199067748316 · inbound

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration cites this paper.

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 8

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no resolver link, observed 2026-08-09T18:14:11.094332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:14:11.094332Z digest=sha256:4dc526fcbbbf81985d397598d8ed05c9670174b3313917c87a939f45d208bba3

Observation 79fd8e53-0471-4cdf-877f-36f78f7c867c · inbound

Rationalization Models for Text-to-SQL cites this paper.

Rationalization Models for Text-to-SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 13

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no resolver link, observed 2026-08-08T14:29:19.365305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.365305Z digest=sha256:d65faa400f1c24e439c5565b9ed1c306134c6ca56c5177e0b2df354a7989a576

Observation 89d668b2-0df8-4b7a-a481-5216ec163817 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 46

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arxiv_id, observed 2026-05-14T01:11:09.242419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:5927329d76e6aa646bbeeb727521d080e86cabf1f415ddc054705a546ffd3461

Observation fbf11f26-cd60-428a-a446-e12bde52f205 · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 7

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no resolver link, observed 2026-08-07T14:55:58.256867Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:58.256867Z digest=sha256:e504b6fa1ba09419a0aea58f49578c11ca797def41b53f116093a0018af33306

Observation e024c67a-5a68-4ad5-88ad-b959076cdea1 · inbound

Effectiveness of Prompt Optimization in NL2SQL Systems cites this paper.

Effectiveness of Prompt Optimization in NL2SQL Systems Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 10

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no resolver link, observed 2026-08-07T13:54:51.120801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:51.120801Z digest=sha256:9b4515884a1087be2e208d5eac4bda9f669046c46618c01ef351f55743290f09

Observation a4187268-02c4-45bb-9d82-da1cc7482c43 · inbound

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes cites this paper.

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:47.133873Z digest=sha256:02c23881a812080b34aeba806c5e002c9621c366d7ff076bcb998b0eaff54a24

Observation 9897b54d-9cd0-4695-9735-b3970a664fb3 · inbound

Text-to-SQL for Enterprise Data Analytics cites this paper.

Text-to-SQL for Enterprise Data Analytics Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 14

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no resolver link, observed 2026-08-06T16:09:53.902437Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:53.902437Z digest=sha256:2365462d7b7bb199a300814d8ecc5b7f5cc5b75ec9904a4d01ebec6aa2cee2d8

Observation 2051115a-8445-4664-9d41-afb2d9ec298e · inbound

Multi-turn Natural Language to Graph Query Language Translation cites this paper.

Multi-turn Natural Language to Graph Query Language Translation Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 2024

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no resolver link, observed 2026-08-06T05:26:36.487616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:26:36.487616Z digest=sha256:bc3d97806114a4bcb2a28109e8d22ce4b3670106941bde30129849b95422790e

Observation efab0355-7913-4e39-941f-dcc5502ff3a8 · 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 Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 43

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no resolver link, observed 2026-08-04T22:48:35.073263Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:48:35.073263Z digest=sha256:f3689ed6364528daf79453a3efff767c5b26c7fbbe8456ec9c19fe8c114bfb2c

Observation 04b1f38b-6433-4e1b-9549-d770d9239ece · inbound

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation cites this paper.

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 15

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no resolver link, observed 2026-08-04T06:09:51.581974Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:09:51.581974Z digest=sha256:90a8e707e9a3ebd7f0224ee8a9382a9c54276d4ba54690d87d9919d7dbf9d546

Observation 915cec4a-cb37-4fbb-b974-0ecf3140f64d · inbound

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL cites this paper.

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 10

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no resolver link, observed 2026-08-03T01:04:45.439554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:04:45.439554Z digest=sha256:706d28cb21cc06e4a228b200f784eeec4cc33ac847761a34103042340bfab688

Observation 388c2632-07d7-4255-9e42-948394a1521e · inbound

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? cites this paper.

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 31

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arxiv_id, observed 2026-05-15T19:56:33.693013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T19:52:53.443887Z digest=sha256:2802f4f5310e79cfcd0c2a08235f02c98b2a7102ea7d16333662ef4bd970c899

Observation 56145ee9-d42e-42fc-93ed-74cadcf0f2d2 · inbound

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints cites this paper.

SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 12

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arxiv_id, observed 2026-05-15T16:16:15.241822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T16:11:39.112890Z digest=sha256:2f02f74d7f48841be3084b92baa0eb817339703057daf0e0812b9edf3f80f1a6

Observation 3bc20951-2409-44d9-8a7a-06a9437fd7dc · inbound

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views cites this paper.

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 19

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arxiv_id, observed 2026-05-11T07:30:57.961185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:09:46.385340Z digest=sha256:fed24010aebc83d1e559d6b781e4f09a79e2ba7a173efcad17f4400c1c3db075

Observation 2517a394-054d-44af-b916-514346aaa1cb · inbound

SynQL: A Controllable and Scalable Rule-Based Framework for SQL Workload Synthesis for Performance Benchmarking cites this paper.

SynQL: A Controllable and Scalable Rule-Based Framework for SQL Workload Synthesis for Performance Benchmarking Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 9

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arxiv_id, observed 2026-05-11T00:15:54.125693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:37:37.185685Z digest=sha256:2ba492f06b78908744f0fb8656e3ea6c53ea22f839157daf35a0420a7724e3c6

Observation 881e0945-a0f4-428f-8c88-2350e4dc39ea · inbound

From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability cites this paper.

From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 5

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arxiv_id, observed 2026-05-15T10:55:28.626078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T10:53:54.235150Z digest=sha256:482e64681f79aa087a5e026544d2bbf633a31603cc74f5be40d928ab1be5e1d3

Observation 9a677d35-59d2-479f-a2b4-d99f4067efee · inbound

SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis cites this paper.

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

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arxiv_id, observed 2026-05-11T14:16:17.719480Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T22:08:11.410285Z digest=sha256:0ca293e04ea654f08782d1b242ab78d1f02ba56657d2214e3c3ca7447e21beb4

Observation 9983d813-6c8c-4a32-8590-143b0a6d42ab · inbound

From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction cites this paper.

From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 21

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arxiv_id, observed 2026-05-12T10:16:27.514532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T06:58:17.953361Z digest=sha256:e002f9a245e4f2a3af5a8ab93f63e6cc6e1add8cc8bebe460d4dfb8b7f7c43e9

Observation c5231cc4-7d14-4695-84f7-5be85460efc6 · inbound

DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis cites this paper.

DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 3

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arxiv_id, observed 2026-05-21T00:29:17.498001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T00:25:32.898938Z digest=sha256:e9a3f50320a71d8a42dc46089f69433f95a695e867c156b9cdf3cfb35cc34bcb

Observation c066f39d-65e0-4ec0-94f5-1af9e3767731 · inbound

Anatomy of a Query: W5H Dimensions and FAR Patterns for Text-to-SQL Evaluation cites this paper.

Anatomy of a Query: W5H Dimensions and FAR Patterns for Text-to-SQL Evaluation Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 5

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arxiv_id, observed 2026-05-11T21:56:11.193352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T03:52:56.830355Z digest=sha256:38ac97d59d9af0b1dfd1c160b22d06f9421af1a47ead07faeb284e9bf443f318

Observation b497c711-bb22-49c7-a722-a626fa731714 · inbound

LEAF-SQL: Level-wise Exploration with Adaptive Fine-graining for Text-to-SQL Skeleton Prediction cites this paper.

LEAF-SQL: Level-wise Exploration with Adaptive Fine-graining for Text-to-SQL Skeleton Prediction Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 14

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arxiv_id, observed 2026-05-12T06:11:24.461048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T04:31:13.560231Z digest=sha256:e81812289c14b42b47de3304e6e47843ac181fec670a3198a2a512374fdb46b1

Observation 6c9e5125-7179-4598-b6c8-ca1b8ffbbd90 · inbound

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability cites this paper.

Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 1

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arxiv_id, observed 2026-05-12T04:41:21.767784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T04:41:15.286881Z digest=sha256:5f1748392a0b47b179027afe6c70912c6906284debbac0629c148515c8041af2

Observation 3a53ec0d-dd42-40b1-8ac1-b7af80de05b4 · inbound

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems cites this paper.

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 36

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arxiv_id, observed 2026-05-15T02:39:41.776490Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:08.115027Z digest=sha256:b0fe83915f3f55622e939b00301dffdb72d2a56f918611d3cb37a5746155c585

Observation 7770b5c6-5c98-4c8f-85a1-9e61c601db60 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 181

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arxiv_id, observed 2026-05-21T01:33:56.175079Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T01:31:07.031424Z digest=sha256:fa596df5fb07d9f00efb5145ce269be05a2c30cb1669dd5e738a26978abe0c0a

Observation a712beba-4768-4377-85ac-53e264652809 · inbound

AgentNLQ: A General-Purpose Agent for Natural Language to SQL cites this paper.

AgentNLQ: A General-Purpose Agent for Natural Language to SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 6

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arxiv_id, observed 2026-05-20T10:43:12.534798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:f907d7c01cf7463ac0e5aaeb6f2acd389e576bf67c3815271370d6a1b143fe41

Observation f50d4636-aee3-47f9-a2df-376013546fd3 · inbound

Residual Skill Optimization for Text-to-SQL Ensembles cites this paper.

Residual Skill Optimization for Text-to-SQL Ensembles Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 17

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arxiv_id, observed 2026-05-22T08:41:17.191735Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T08:38:41.126772Z digest=sha256:966e23c617aaa11a29cadf8b823c6b9ff310a9f826921a6eabef43593c811c31

Observation afc4827b-2ea0-4c15-ac05-efc47faea0b3 · inbound

Towards Direct Evaluation of Harness Optimizers via Priority Ranking cites this paper.

Towards Direct Evaluation of Harness Optimizers via Priority Ranking Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 39

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arxiv_id, observed 2026-05-22T06:14:40.427387Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T06:14:28.559147Z digest=sha256:018653a5966a5de6daec5fb3af3b8968547edbcc5db052941b30021140be2e7a

Observation 1ae44542-913c-4ded-8187-280efe232b3e · inbound

BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise Reasoning cites this paper.

BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise Reasoning Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 13

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arxiv_id, observed 2026-07-01T23:36:23.428244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T14:10:10.215779Z digest=sha256:3aee1b76b159c2a34f076bd34b983d1e0a4a395847d77801feb8ca355ffac56c

Observation 409365bd-8069-4a7d-b089-bff4a287b850 · inbound

Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning cites this paper.

Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 8

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arxiv_id, observed 2026-07-01T23:36:24.088845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T14:03:41.903170Z digest=sha256:151d821217495d780e847c7e734172ac5e0bc368c1b65f726e47d6342f3d7138

Observation 00c78482-b748-45cb-b5ec-1880c1eff1a7 · inbound

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge cites this paper.

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 24

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metadata mismatch
arxiv_id, observed 2026-07-02T02:56:29.223357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T10:28:44.425462Z digest=sha256:4aa4f068f996a18b0d342e67cfa8b6045872057b7f65a863bc41b53d2937d31e

Observation a257f262-c0d4-4bef-8408-404e94363677 · inbound

SOMA-SQL: Resolving Multi-Source Ambiguity in NL-to-SQL via Synthetic Log and Execution Probing cites this paper.

SOMA-SQL: Resolving Multi-Source Ambiguity in NL-to-SQL via Synthetic Log and Execution Probing Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 14

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verified exact
arxiv_id, observed 2026-07-03T05:27:40.434086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T13:12:15.208886Z digest=sha256:d40110bfee4d84dc2a228c59b2c61b8e6f055cd17a4da3ee369d28d3fe64450e

Observation cf365e25-a945-49b4-8d59-cc03f9cfcdd9 · inbound

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL cites this paper.

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 43

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metadata mismatch
arxiv_id, observed 2026-07-01T09:05:36.895758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T08:57:37.907354Z digest=sha256:f760e64341925ab06ed624e3d4dc5ee623e1bb1e1e5e912aa7785a0a770c8a95

Observation a77795c3-cfdb-4f5e-a373-805d08371eac · 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 Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 34

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verified exact
arxiv_id, observed 2026-07-04T14:49:54.599017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T02:38:20.300232Z digest=sha256:1e2d8e3fb02bfde7ee7ca95e045c93700875a7e06c01fee82c5f573742f03409

Observation 241467c5-305b-4693-a10f-a50c5f9cda19 · 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 Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 32

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unresolved
no resolver link, observed 2026-08-04T02:32:09.642374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:32:09.642374Z digest=sha256:1843fdf62d6ce704d433d8b7eb4780468f60459aee5b483803ad0ec4f0ca6382

Observation 03377075-9741-4f4a-bed7-6e2e55f454f2 · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:53.331299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:9dd3d842ce7aa36bc83b650db41aa0f3b7ed742827b6bb314e78954d209c4f85

Observation 3307d16a-6052-4930-ad9c-95b046699907 · 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 Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 16

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verified exact
arxiv_id, observed 2026-07-01T16:15:49.706860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:b37373de8ab15b91e0bafa67c9217adcd70f670f10a5cd0e052bc760ed4c5946

Observation e37e7755-79b7-40b5-ab97-94e85651845c · inbound

HETERQA: Benchmarking Record Retrieval over Multiple Heterogeneous Sources cites this paper.

HETERQA: Benchmarking Record Retrieval over Multiple Heterogeneous Sources Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 13

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unresolved
no resolver link, observed 2026-07-12T05:22:08.124451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:22:08.124451Z digest=sha256:e09e9a852d7b8cb3575ccea93999b18be49de7cef031e3548b15f46c93dcb999

Observation accbbfbd-9398-4ecf-b3a9-703a47c1159b · inbound

Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL cites this paper.

Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-11T22:28:12.204856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:28:12.204856Z digest=sha256:526f9226aa2284a431e7debda890e87c6fd44b1aafe76abfce2ab8f7163b604e

Observation e6c0fe81-e8ff-4c21-bed6-874cf017c4ef · inbound

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows cites this paper.

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-08T12:54:52.865449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-08T12:54:03.626597Z digest=sha256:6da695e0ad23c6a82ad9faaf182e30898ce6ee9cdcff624b590b4b836b0f34b2

Observation 9581471f-df7e-412b-bcab-5aa81e059e75 · inbound

Agentic Data Environments cites this paper.

Agentic Data Environments Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-09T12:46:14.556133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-09T12:43:21.070615Z digest=sha256:5b6a681cd50355ffa0086bc2ca6a6e0054e077365bd5670fb7b6271bd853b352

Observation 4dca58f8-d8fb-46b6-86a4-0e9ca5fd6a08 · inbound

Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases cites this paper.

Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-02T05:40:05.524603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:40:05.524603Z digest=sha256:96ae811e13e8c1458354997eec3d851ccea7f2a2601d8b67927a893f0959e092

Observation cd2fd891-db85-4804-8328-12092df6cdcc · inbound

I-Rex: An Interactive Debugger for SQL cites this paper.

I-Rex: An Interactive Debugger for SQL Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-01T20:58:07.765905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:58:07.765905Z digest=sha256:955d08434ccd75aca97e1a542fcad26a1b85c1ecb0a60ecc266f0153ac2dcf38

Observation 6f04a2a8-578d-432d-9f21-5e31cede2bb7 · inbound

Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense cites this paper.

Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T10:23:19.750534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:23:19.750534Z digest=sha256:accee7ee01f7a400c31fa7bb3bffac8fddbf6429927e0f0cee05ad286cea70db

Observation 4dbfa781-8d4a-4829-b50f-6f2f70f2821d · inbound

When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes cites this paper.

When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T00:48:38.366878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:48:38.366878Z digest=sha256:9cf42f5a4a88cf732a0eac966831ea271840cce63bd0af9a37fb105eb16e0d5f

Observation 36d43df2-ca41-4b99-86b9-4d7d426d9d4b · inbound

When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes cites this paper.

When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:43:19.354311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:43:19.354311Z digest=sha256:e0d3cf1ab421b95991de6ddbed9fff1be682758963809b11a288646fcceff46a

Observation 00253971-4295-4dca-9e1c-a354250b56be · inbound

Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline cites this paper.

Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T20:46:34.912755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:46:34.912755Z digest=sha256:d3f540a52f26e08bf3cedaec3a1f58337e172dd7b80fe78fe154ac860700f4b7