Pith. sign in

Paper Citation Record · LEDGER

Querying Databases with Function Calling

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 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 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:03.671588Z

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.

source=pdf_text observed=2026-08-10T15:25:14.452458Z digest=sha256:fcb4b63ff89612c0c9239eae5d00975a4f036918c0235ea652e7808046295ad8

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.

source=pdf_text observed=2026-08-10T15:25:14.457911Z digest=sha256:62e108ba8772061453a0f8ae9cb629fdd626fad91f9669ab1fc27878bcbb1c14

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.

source=pdf_text observed=2026-08-10T15:25:14.463745Z digest=sha256:faf7caf5e50e184828d538a7721f2da576130716a8e2c7261d131ba64af7124d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.468659Z digest=sha256:96217e4b314d9aca09d66bd0f679ac8bef3f73de6cf4cf49d782a6992cb9e5d5

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.

source=pdf_text observed=2026-08-10T15:25:14.473377Z digest=sha256:9cff5ce65b8aab01b69574dea2989344cd460003ecd5109a1fdbc2c8f2a8b493

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.

source=pdf_text observed=2026-08-10T15:25:14.478426Z digest=sha256:fc3629772acf5b2af221ae0d3901b53de843177afece0773f6efec44602b56e8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.483725Z digest=sha256:48683b924be0474e16c01c77c9056715f9d0c44412c0b870cbbf7d301756005a

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.

source=pdf_text observed=2026-08-10T15:25:14.487966Z digest=sha256:e55ebcca68808ce88bc5e5f497518efe81fada36892bc081642563441b908cac

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.

source=pdf_text observed=2026-08-10T15:25:14.492794Z digest=sha256:df7d86d1a74d56d184e3a71f9678da7712faff0b9df6b399b6dc6a1927f29f36

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.

source=pdf_text observed=2026-08-10T15:25:14.497542Z digest=sha256:86c61269cec2d46376a060aa7fb3040e2cfac8b900e2622dd7fbaf5e045ba72a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.502397Z digest=sha256:82d8ffa4ef66e1bfa04c9f83041c90daee0d7e5a988df667c8436f44f4fbe516

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.

source=pdf_text observed=2026-08-10T15:25:14.506508Z digest=sha256:10a79ae6b7a6b90e4bdb0e7b17b4af5749c070e1c0a22d045ed1bc565966c19d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.510726Z digest=sha256:378929ea7e2bf75f0d4c7873b6bb585e5e5fe7e487082c42926e806fca986b77

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.

source=pdf_text observed=2026-08-10T15:25:14.514772Z digest=sha256:efa04b33d6e9af4bbbe8cede5a6449ad9396f242bd0a759c05b5070cd7adf872

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.

source=pdf_text observed=2026-08-10T15:25:14.519161Z digest=sha256:99e1214125926bfe178503b6c838690591260c5b65e04cdd4d949c0293e9e318

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.

source=pdf_text observed=2026-08-10T15:25:14.523602Z digest=sha256:15064a50d62bb2011e1758739c66d0610f20e317d734dac5453e8ebc347b76cf

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.

source=pdf_text observed=2026-08-10T15:25:14.528460Z digest=sha256:44aed203e3895e0dbdc72a76f5d347f1c8a70e5d77988cf1d8826e1bc5e7a028

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.533110Z digest=sha256:dfe9b9a0a6cf1297330711e966eefc5a0e16d6b9475ff045af04a68b03a6aee9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.640045Z digest=sha256:795e731cf133ec3bb5071dfe02bbf03d2d6c6f3e7ff122703ce88b1be83f171b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.644951Z digest=sha256:e9f437e4b369c57a9fbaa905014a884c7c7a3b2131bebe5db84836550c1f78b4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.649659Z digest=sha256:5469ccbcf4487be7f90106a44df76a97f4b9b4ba116ab8ea4099fa6436a14699

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.654109Z digest=sha256:b94ae29dbc7bc1f643c962d49ef48c1e4165c434ffe8d8bd51b1ff1e44e041fa

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.

source=pdf_text observed=2026-08-10T15:25:14.658982Z digest=sha256:dc5e61e22c221ff7a2709d2c9d79e8729d3cc8543a95286073778d278c895684

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.

source=pdf_text observed=2026-08-10T15:25:14.663456Z digest=sha256:bed907a65889d69452f7c498869b5db019595081ac6b0fb71b07ffc4f9af2699

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.668245Z digest=sha256:aae67f485ebede2fb6a2fda2c92896bf119a0a2b6f8008907ba5f70bbe6acb65

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.672771Z digest=sha256:77e85555dd98e50104525d2ddc8d0e21b2ecf16ffd2e7aeaf0d53370f1c53c45

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.677474Z digest=sha256:d7c2fd897cd57ca734f21ca38da1889aea510db4472a88bcbf890a2b3955c0ee

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.

source=pdf_text observed=2026-08-10T15:25:14.682131Z digest=sha256:4642266146c58260d73baf6ab31e716506e98ea4eff03766a523dd742f63adae

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.

source=pdf_text observed=2026-08-10T15:25:14.687203Z digest=sha256:29643511d492ef5f8484ce79b67295255ce73074bf4aa5e661ac83d285829d58

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.

source=pdf_text observed=2026-08-10T15:25:14.691850Z digest=sha256:4ed0c69ba8927913b7230ac040c029cc38d8b36fb299e26e31055e0535e1b1b0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:25:14.696630Z digest=sha256:c101090b7ff0c4a845356d5cf8e87170bb197b856b982ba6f3e099b53a54786e

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.

source=pdf_text observed=2026-08-10T15:25:14.705494Z digest=sha256:18a10543e5939b993c40884f45149ede03684601351097f284b83bb5954c4f52

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.

source=pdf_text observed=2026-08-10T15:25:14.709782Z digest=sha256:044ffccb60a82d7e5034f5eb62e318e56555a7bfb5cc894e8cba70b118751e71

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.

source=pdf_text observed=2026-08-10T15:25:14.714751Z digest=sha256:c3085eb6515e54ec99d96773e08f0c74f11ee53db6d82b64e311c22ba4299688

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.

source=pdf_text observed=2026-08-10T15:25:14.719672Z digest=sha256:50857354a5962be92dba74283467d4f6c489650f3d1f9c522d6da0e9f959ac52

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.

source=pdf_text observed=2026-08-10T15:25:14.724337Z digest=sha256:bf2fd8c4a65b6ab35c8fbb6cd5740dff92e11a7ec0c4b97939fa88643ced3b75

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.

source=pdf_text observed=2026-08-10T15:25:14.729494Z digest=sha256:cf0d75ea7b7ea8dd8676b48a0b42d7999dc6b69f769b067af5b210b739ba630d

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.

source=pdf_text observed=2026-08-10T15:25:14.734364Z digest=sha256:ceb772a46ff68e47694a948d64538462a48dc181fe27580b7a0435e5553efb8b

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.

source=pdf_text observed=2026-08-10T15:25:14.738844Z digest=sha256:c719181831ccd25c72c67985e9a77cf45dea52e8758b1ec2fe2a69e92e3455f4

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.

source=pdf_text observed=2026-08-10T15:25:14.743431Z digest=sha256:e25f1c729b2a8ed6e1a5c9fa93700274c3c150b0910066c1f63c6aa9926a121a

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.

source=pdf_text observed=2026-08-10T15:25:14.747597Z digest=sha256:8d5521a19a9939c42836639f0d372bcbd82625ceb6c29419e28e486337ced97f

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.

source=pdf_text observed=2026-08-10T15:25:14.752902Z digest=sha256:40dfd5d628992e8ade7ba075a7e064e195d24594d4f798ff7222ab90866f0c3d

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.

source=pdf_text observed=2026-08-10T15:25:14.757677Z digest=sha256:02183a438dd12323c3c546f03201e57b8b475b5695edc1f483d1f883c39b0b42

Pith citing papers

Observation ffccd9e2-cf2c-410d-a339-78a83b5e1887 · inbound

Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation cites this paper.

Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation Querying Databases with Function Calling

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T10:13:03.671588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:13:03.671588Z digest=sha256:366e4370fbd95e31f694779dafe6445459ac452adbf482d7c87254ce950b7677

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:fa7d8cfab26ad347bd3afd0318c63717250e7ac1cd5dfe84c73f96b5fab16b86

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.

source=pdf_text observed=2026-08-03T00:55:55.391902Z digest=sha256:1df32e4aa8346286c931921f66b1aab803f64ddb149cdb37a6fd8863d2261692