Paper Citation Record · LEDGER

Querying Databases with Function Calling

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2502.00032.

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

pith.paper-citation-record.v1
2502.00032 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:14.757677Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:55:55.391902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:43:12.535903Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy13
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44c96656-731b-4e6d-aee7-226e0e2cc605 · outbound

This paper cites The shift from models to compound ai systems.

Querying Databases with Function Calling The shift from models to compound ai systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.452458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f590d163-f1ad-4136-a398-698120eb9532 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Querying Databases with Function Calling ReAct: Synergizing Reasoning and Acting in Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.457911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2056d2ed-38e9-4762-81e3-ac34772d7c37 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Querying Databases with Function Calling Gorilla: Large Language Model Connected with Massive APIs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.463745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be744dc-215e-415a-9d39-0ef2e0ec80bc · outbound

This paper cites Function calling in the chat completions api.

Querying Databases with Function Calling Function calling in the chat completions api

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.479712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

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

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307fdf2f-0cb9-4852-ad59-101c7128a9b5 · outbound

This paper cites STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases.

Querying Databases with Function Calling STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.478426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7df761c-30c1-4bf4-9191-404dffa8aaf5 · outbound

This paper cites https://www.w3.org/TR/sparql11-query/, 2013.

Querying Databases with Function Calling https://www.w3.org/TR/sparql11-query/, 2013

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.465430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6516d01-c63b-4de7-b0ca-6b60d6b458da · outbound

This paper cites Semantic Operators: A Declarative Model for Rich, AI-based Data Processing.

Querying Databases with Function Calling Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.487966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c166f4d-a604-4454-92de-549f28418658 · outbound

This paper cites Text2SQL is Not Enough: Unifying AI and Databases with TAG.

Querying Databases with Function Calling Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.492794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119a3000-24a5-4a6a-a4b0-51776d4343b9 · outbound

This paper cites SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models.

Querying Databases with Function Calling SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.497542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90315ad8-2f76-4631-b290-119bfdfb1c77 · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

Querying Databases with Function Calling Patil, Ion Stoica, and Joseph E

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.450362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c95fb91-76e4-4e3e-96c4-34cc4f201cf9 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

Querying Databases with Function Calling Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.506508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb9f218-ef9f-4753-9f35-d68aff4109ea · outbound

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

Querying Databases with Function Calling Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.436317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1167535b-c7f3-411f-9a76-4e17502fe2c1 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Querying Databases with Function Calling WebGPT: Browser-assisted question-answering with human feedback

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.514772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fdda458-1e01-4e4b-9282-f142523cf068 · outbound

This paper cites Agentic Information Retrieval.

Querying Databases with Function Calling Agentic Information Retrieval

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.519161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ea0825-994d-41a7-97d7-1d8f2b45dcb6 · outbound

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

Querying Databases with Function Calling Next- generation database interfaces: A survey of llm-based text-to-sql

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.523602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd34f70d-5c6d-4220-9177-89ee85fd8894 · outbound

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

Querying Databases with Function Calling Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.528460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d8e131f-81f9-492d-94c7-b7b090f1db5a · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task.

Querying Databases with Function Calling Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.422204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9569ba60-5efe-4bd4-a8dc-fe5169bffe0c · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.

Querying Databases with Function Calling Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.407945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c018154d-1eea-445e-a148-76902e397de0 · outbound

This paper cites Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics.

Querying Databases with Function Calling Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.393977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce859429-e5ba-457f-a9a8-6b9c27db1ef2 · outbound

This paper cites Bringing semantic knowledge graph technology to your data.

Querying Databases with Function Calling Bringing semantic knowledge graph technology to your data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.379001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bfb9049a-06b9-4e22-bea1-e4acede9bc4c · outbound

This paper cites Database gyms.

Querying Databases with Function Calling Database gyms

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.362602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 994f3986-3752-4ccd-8639-dd0b8bc48d52 · outbound

This paper cites GPT-4 Technical Report.

Querying Databases with Function Calling GPT-4 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.658982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0578653-36cc-46bf-8e1f-25ff5e4e5a33 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Querying Databases with Function Calling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.663456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e6ecb9-246f-4ea2-b81a-4f3a0cf12e01 · outbound

This paper cites https://www.anthropic.com/news/claude-3-5-sonnet , 2024.

Querying Databases with Function Calling https://www.anthropic.com/news/claude-3-5-sonnet , 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.346766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 672c60aa-cc74-4c96-8bdd-e02b8c8865a6 · outbound

This paper cites https://docs.cohere.com/v2/docs/command-r, 2024.

Querying Databases with Function Calling https://docs.cohere.com/v2/docs/command-r, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.331110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cecc3624-88aa-45c0-a4d4-c62e0dc8e317 · outbound

This paper cites Llama 3 model card, Accessed July 2024.

Querying Databases with Function Calling Llama 3 model card, Accessed July 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.315897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb433a3e-b17f-4e52-be3a-f2a778057cc2 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Querying Databases with Function Calling Efficient Guided Generation for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.682131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf58936a-788a-484a-a9a5-2ddcad04c274 · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

Querying Databases with Function Calling Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.687203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832fda25-a923-42f2-ac78-64a05f15037b · outbound

This paper cites StructuredRAG: JSON Response Formatting with Large Language Models.

Querying Databases with Function Calling StructuredRAG: JSON Response Formatting with Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.691850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191fe18a-dfa9-4998-bc4a-96b9e9e9d33d · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Querying Databases with Function Calling Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:25:15.300193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de9c5c3d-19e4-4fb9-ba76-2e793f7c0b5c · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Querying Databases with Function Calling Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.705494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53a0fad-e239-4c54-9542-0bb59eee9494 · outbound

This paper cites DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Querying Databases with Function Calling DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.709782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e54f6caf-209e-446d-a31d-7ce2f8a703bb · outbound

This paper cites SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines.

Querying Databases with Function Calling SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.714751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a22cc6d-1acf-494b-8fab-6077c4890e1b · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Querying Databases with Function Calling Direct preference optimization: Your language model is secretly a reward model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.719672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99aa396-35b2-4af2-85cb-93987f5637f6 · outbound

This paper cites Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment.

Querying Databases with Function Calling Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.724337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0810ce-9013-43af-89ea-c076673a2409 · outbound

This paper cites GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications.

Querying Databases with Function Calling GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.729494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549341de-d95d-4e83-a469-8592eeb0cccc · outbound

This paper cites Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design.

Querying Databases with Function Calling Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.734364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be38f18a-8efd-4c1e-80e5-e02ddecde328 · outbound

This paper cites Specifications: The missing link to making the development of LLM systems an engineering discipline.

Querying Databases with Function Calling Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.738844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4aebb85-5254-4264-b921-81fce4b48be3 · outbound

This paper cites Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

Querying Databases with Function Calling Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.743431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c17fca-f40f-45b4-b514-83287f97f17e · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Querying Databases with Function Calling DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.747597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07fb4be5-6b6e-4915-87ed-7552e02ba394 · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Querying Databases with Function Calling Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.752902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb2c28e-9508-45d7-8250-034b958a2d60 · outbound

This paper cites AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning.

Querying Databases with Function Calling AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.757677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1e4a7548-fd0a-4566-a3b4-fe36d27df615 · inbound

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

AgentNLQ: A General-Purpose Agent for Natural Language to SQL Querying Databases with Function Calling

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:43:12.537353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a11e1efb-932a-4bf4-bf78-40abb888a892 · inbound

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems cites this paper.

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems Querying Databases with Function Calling

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:55.391902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.