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Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:1809.08887.

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

pith.paper-citation-record.v1
1809.08887 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:04:46.541361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 2c1007c6-c523-4017-998b-d2a771d9bb79 · inbound

Measuring Coding Challenge Competence With APPS cites this paper.

Measuring Coding Challenge Competence With APPS Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 16

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verified exact
arxiv_id, observed 2026-05-11T17:11:36.645237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T17:11:36.563285Z digest=sha256:54c6d081e44c54a8e6a971948047d50b5b0cb41ab237f5de9fc873cd9df4c79d

Observation 3b8f812c-b2a0-4276-86b7-05aefd342f41 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:33:00.382339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:0690b01ca4c283e27b8058d38ae2a0296e6ed5546587e4fb5100fab4dd895801

Observation 005a0e4b-fd26-4bde-a5a2-d2c6e6aa2fae · inbound

CHESS: Contextual Harnessing for Efficient SQL Synthesis cites this paper.

CHESS: Contextual Harnessing for Efficient SQL Synthesis Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 62

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T11:24:22.947000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T11:24:22.789901Z digest=sha256:2167b10caca3d7c769b61482c1fec9ee0d6ee0cc6d89d6e398d9bfa4b7821fe3

Observation 578db0d9-a793-4cc5-ba2e-1af2e8525795 · inbound

BEAVER: An Enterprise Benchmark for Text-to-SQL cites this paper.

BEAVER: An Enterprise Benchmark for Text-to-SQL Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:48:24.865182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T20:47:59.960959Z digest=sha256:85679821e894654a6846db0f8c373f3ac4c37b773bb235ccc9083dd7525610e2

Observation 7b9774b1-f15d-4249-85a1-9cffee668bce · inbound

Qwen2.5-Coder Technical Report cites this paper.

Qwen2.5-Coder Technical Report Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.011959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T12:33:38.867604Z digest=sha256:1dca4f7e4c917b2a20aabdf4aae0cad12f79452ddfb96634d3c976d8bfa98211

Observation f579bedb-4e30-41d1-9cd2-e2969b039b46 · inbound

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment cites this paper.

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:35:46.073423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T18:35:10.313449Z digest=sha256:0ac08b11b0bf0e4b1a626e3c3dfe5b3f266f73a4d4a9f8f521bcd41fc253aeb3

Observation 811d353c-f780-4d72-8a1a-702797b15fef · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 220

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T02:11:37.569418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:15e05127eb3257f29b431f75b65b7cd26a7e79726dea64afc480cb4895da3d4d

Observation aeb0577f-abd5-4ab6-bc11-1462b817b8cc · inbound

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs cites this paper.

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:22:27.759237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T22:22:27.455361Z digest=sha256:bf7853291345c601538e8f6d1d3998699b3142f4f4db0e19430b05933d658c07

Observation 2c3e0705-cf8e-415b-b515-fbafe5f1be2a · inbound

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

LLMs Get Lost In Multi-Turn Conversation Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.376678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:0a908a8c9467d2580a7a69825d73fb0180e034151e18cce966e828ed1cd3ad1e

Observation fa40eb97-8dae-4e77-877c-a44e2473c1a8 · 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 Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-19T06:52:59.867116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T06:52:57.718359Z digest=sha256:a81f914ea704640e9dd3e268107f17a8f15c1c885dd43650921eff5f5b2d5174

Observation d4a62689-ec97-4b69-8ffd-be3dd52820e9 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-19T04:42:04.650914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T04:37:33.942379Z digest=sha256:5b48680f0233d1ae0b6ed0b746701ac99a7d5ba0f22dfd9c0c9af73756e240f4

Observation 4134f4a1-245d-4859-83b4-b8c52a478c20 · inbound

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:32:17.294861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T01:31:40.920567Z digest=sha256:3ec0f6986092f944bb3f6aeb591cf0fa1499946f7a83da3528bfc58d60a3e124

Observation 00eea167-ad6a-4409-a293-f52287f3cc1b · inbound

TreeCoder: Systematic Exploration and Optimisation of Decoding and Constraints for LLM Code Generation cites this paper.

TreeCoder: Systematic Exploration and Optimisation of Decoding and Constraints for LLM Code Generation Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-17T04:21:30.900701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T04:19:18.805697Z digest=sha256:832ca27b7bdb1357f477cb9b142c9fd53c8085498c02a082157ec3a0396c49d5

Observation 94314eba-24c5-4c8e-9c54-cd270fcc7fcc · 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: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T01:04:46.541361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:04:46.541361Z digest=sha256:b70a5f6531cc51958d31baa98fdead0bad1b5f5457ec3a0a80232d551784e584

Observation 708b8ada-ca7c-4517-b57b-d40f94d827d7 · 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: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:56:33.598547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T19:52:53.443887Z digest=sha256:ec100e16010e1ac4e7f01c8b7ba6c016a84aa2dade5364e1429c12b6b141679a

Observation 610e151f-7747-47c4-b978-f8b1e94cb11a · inbound

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions cites this paper.

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 129

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:19:35.447848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T00:18:22.361169Z digest=sha256:6e2317ec773ed275f43ad9ccae246026cea474972d14f0e9e361f7a5b332aecb

Observation 3db9c660-12eb-4034-8f15-8e769c9a64ac · inbound

InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.

InCoder-32B-Thinking: Industrial Code World Model for Thinking Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:58:08.721365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:5660870277759e334e8dd27ef8a5a65cecc54772355a1f0a55d9f5f7b7defa57

Observation 6e0af0fe-3f84-47b8-994b-098ebacb177e · inbound

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications cites this paper.

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:55:04.331700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:50:10.928941Z digest=sha256:de67cb39eb8bf1d07ce45a616a39b77b903d4281db039c9e458e53620948fce9

Observation ac56f9e9-dac8-482e-95eb-a7846293f754 · inbound

LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL cites this paper.

LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:16:02.943213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T04:03:12.579783Z digest=sha256:3bf1158eff9697fddf33860b5fc9b38728728ce4e887086d6ca0a3e976091450

Observation 7ea73230-18ff-4b7b-a373-f11903e45ab7 · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:59:49.515457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:dd37c163461ac2759feaa45f562c9efe5263bad3ee038f17043b45490f511f11

Observation f6ddda59-571c-4359-9a54-c79125928524 · inbound

RUBICON: Agentic AI for Messy Enterprise Data cites this paper.

RUBICON: Agentic AI for Messy Enterprise Data Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:56:06.589982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T13:22:52.284943Z digest=sha256:06ca08bd824bf06a82f79ab2aeed2063285846fef2712c0b3efdead200e81c74

Observation a177a248-ad9f-4f70-9293-7cbfc649a278 · inbound

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding cites this paper.

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:27.079444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T07:35:50.936221Z digest=sha256:ac299a6675a4ec17e40db103160af33dbeec35bf4816cf941f5c832eb8774e46

Observation ca72f20d-632c-4e11-9ad7-13d94dc47eff · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:21:11.140959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T09:24:27.977204Z digest=sha256:f884529c7bdce08eaa82cc1412e62376f7fd3dd061b85295c3f293280bf31171

Observation 6dd7b153-b734-4d5a-9851-6dff472446e4 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T23:33:50.650095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T23:32:48.878074Z digest=sha256:774b6be37034ee4ae9528ebca4182058c3d069ca99be20a44aa3b4d9107e8faf

Observation 2cbe1189-1a96-4d4c-95cd-61f1e93dd990 · inbound

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems cites this paper.

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:19:39.326161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T05:16:46.549921Z digest=sha256:9acaf828860d76c2d2ae8f05e7acc476d41110e499be09c93fcc5970870606d0

Observation a75bb71b-f79a-4712-a1f0-b186367dd322 · inbound

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems cites this paper.

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-01T15:05:48.091267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T17:46:34.881102Z digest=sha256:d04fa189fa56f6a52ab63ba60d1437b1259ba91e5f730df12eb8022c341bb14b

Observation d47d9bb8-152f-492d-a2d9-1b6c2c2a83e5 · inbound

Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference cites this paper.

Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-01T21:06:13.386736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T17:32:53.741121Z digest=sha256:79f00a19840d31536b35d027345372ac2d8781feab3b0c47228f5a4bfa071adc

Observation 33a64fd6-28de-4aec-9964-a20941813d1d · 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: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T23:36:23.410009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T14:10:10.215779Z digest=sha256:4ff6d14112566eda9f6af743362b3888431fe92dc5052b67cd608974a4b5a8c4

Observation 845573a5-15f0-4916-b69a-b93bd401d05b · 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: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:36:24.139844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T14:03:41.903170Z digest=sha256:096493696741a442d75dbf6b262d31ec98093d1124d5bd5eda1b55ab12f59492

Observation d883ac0b-f0d0-4b6f-aa9d-80ff75b40147 · inbound

SANE Schema-aware Natural-language Evaluation of Biological Data cites this paper.

SANE Schema-aware Natural-language Evaluation of Biological Data Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:56:47.096285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T06:34:54.198555Z digest=sha256:80ebc9737feb6728cdbcedc8912d92a4e77c6df07da3d3db7aacf46e7944ab6f

Observation aa2719e0-8c7d-4572-875d-1fc25c8caf86 · inbound

DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving cites this paper.

DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-02T20:17:22.386510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T20:36:10.935622Z digest=sha256:ded2f50a2149dbd99734b138e9baf664ddae2e1083400831195f8580b08f6139

Observation 76190402-426e-4daf-a0e3-6dc0e51153a8 · inbound

Empirical Study for Structured Output Control in LLMs for Software Engineering cites this paper.

Empirical Study for Structured Output Control in LLMs for Software Engineering Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T02:47:37.526937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T15:42:28.064820Z digest=sha256:9b6376fa4838eee3945b6a00daf8b2e53546fe208899f0acc2594f178acbd620

Observation c361dcff-ad2f-49dc-b4d4-ade9d3b5c110 · inbound

GLARE: A Natural Language Interface for Querying Global Explanations cites this paper.

GLARE: A Natural Language Interface for Querying Global Explanations Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:39:29.170547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T17:54:59.060914Z digest=sha256:1dfc17c17dc2b098d4e3c0edc19fcd468cce2ea86ce126fd6c08b0f4ca48fea8

Observation a5551392-a7f3-44be-b551-d28f348d421d · 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: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-08T12:54:52.831290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-08T12:54:03.626597Z digest=sha256:d879e187256754ab54f94eccef76545a722c41c86efb3679a7a8d4cc8f33add2