Paper Citation Record · LEDGER

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.19310.

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

pith.paper-citation-record.v1
2505.19310 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:18.614289Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy31
unresolved15
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35bb12b3-f3b4-4956-b217-50bad2e16b65 · outbound

This paper cites Verfahren zur Nutzung von un- bekannten neuen Systemdiensten in einer Fahrzeuganwendung,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Verfahren zur Nutzung von un- bekannten neuen Systemdiensten in einer Fahrzeuganwendung,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:23.310189Z

Source-reported events for the cited work

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Observation 7ae76229-7bf1-4ea5-9b3a-0ed5a8ad7947 · outbound

This paper cites Uncovering LLMs for service-composition: Challenges and opportunities,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Uncovering LLMs for service-composition: Challenges and opportunities,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:23.212628Z

Source-reported events for the cited work

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Observation 61b15560-0cb4-4996-8d2f-5f2dd95100ed · outbound

This paper cites Compositio Prompto: An architecture to employ large language models in automated service computing,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Compositio Prompto: An architecture to employ large language models in automated service computing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:23.205647Z

Source-reported events for the cited work

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Observation 91a6eb39-8e57-4f2a-be63-03e09e42ab88 · outbound

This paper cites GPT-4 Turbo in the OpenAI API,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking GPT-4 Turbo in the OpenAI API,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:14.534795Z

Source-reported events for the cited work

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Observation 68f72aeb-7d2d-4f53-b5a4-4ead71fa7f40 · outbound

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

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:23.129210Z

Source-reported events for the cited work

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Observation 21d2acdd-c6dd-4fe0-9a32-0172ab69c6d3 · outbound

This paper cites Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:14.688025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c41587f5-f9e3-4b55-9297-1407216453a5 · outbound

This paper cites Global industry classification standard (GICS),.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Global industry classification standard (GICS),

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.980096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be72749b-6a74-4fd1-9a30-164fcc363c8d · outbound

This paper cites ToolLLM: Facilitating large language models to master 16000+ real-world APIs,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking ToolLLM: Facilitating large language models to master 16000+ real-world APIs,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.825988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 797e9b21-e435-45b2-a342-bfcbe75f58c2 · outbound

This paper cites RestGPT: Connecting Large Language Models with Real-World RESTful APIs.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:14.994835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e186854e-2bde-4732-a35a-14742bdd92b7 · outbound

This paper cites New embedding models and API updates,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking New embedding models and API updates,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.744897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e708e94c-e666-4c7b-8223-89a8a239b692 · outbound

This paper cites Web service composition: A survey of techniques and tools,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Web service composition: A survey of techniques and tools,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.717512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e584da3c-5219-4756-916f-91f6fcfc9810 · outbound

This paper cites UPnP service discovery for heterogeneous networks,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking UPnP service discovery for heterogeneous networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.659698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e4b66d1-0818-49b0-842f-9fbb684e16ca · outbound

This paper cites Unraveling the web services web: an introduction to SOAP, WSDL, and UDDI,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Unraveling the web services web: an introduction to SOAP, WSDL, and UDDI,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.513050Z

Source-reported events for the cited work

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Observation e9363427-5a14-44b3-9ff6-caea78087481 · outbound

This paper cites A distributed approach for the federation of heterogeneous registries,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking A distributed approach for the federation of heterogeneous registries,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.349525Z

Source-reported events for the cited work

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Observation 040de2dd-02ab-4ff0-90b8-dd0f3dca5f84 · outbound

This paper cites Dynamic device and service discovery extensions for ws-bpel,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Dynamic device and service discovery extensions for ws-bpel,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.220847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae8eb86f-3142-4668-b7cd-2b5da8a23afe · outbound

This paper cites Service discovery and orchestration for distributed service repositories,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Service discovery and orchestration for distributed service repositories,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:22.128247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1f53f33-21b9-47fd-b84c-c3b4da7e9512 · outbound

This paper cites Discovery of RESTful Web services based on the OpenAPI 3.0 standard with semantic annotations,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Discovery of RESTful Web services based on the OpenAPI 3.0 standard with semantic annotations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:21.782998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1625c4b4-e66c-4df9-980b-269870c1cfdd · outbound

This paper cites Microservices,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Microservices,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:21.518538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ebb650b-be70-4b35-8584-4d3fd01b0140 · outbound

This paper cites GPT-4 Technical Report.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking GPT-4 Technical Report

Reference 19

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Source-reported events for the cited work

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Observation 5de87a53-df7a-4f9c-992b-5fbcae0350bd · outbound

This paper cites Llama 3 model card,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Llama 3 model card,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:16.078619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aebe731-8dde-49c6-9b9d-c94f0b470e29 · outbound

This paper cites Leveraging large language models to improve rest api testing,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Leveraging large language models to improve rest api testing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:21.225015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 513b4452-4095-4133-8b43-34ee7e69b457 · outbound

This paper cites Better language models and their implications,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Better language models and their implications,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.953254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b330201-bd8f-4f00-95f9-bd1f4af4037a · outbound

This paper cites Attention is all you need,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Attention is all you need,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.830301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da79cdd1-8b83-4e88-a73a-f7efdac3628f · outbound

This paper cites Improving language understanding by generative pre-training,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Improving language understanding by generative pre-training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.679819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91c2ec81-f593-490b-8ac7-b0c259823291 · outbound

This paper cites Large Language Models for Software Engineering: Survey and Open Problems.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Large Language Models for Software Engineering: Survey and Open Problems

Reference 25

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Source-reported events for the cited work

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.540010Z

Source-reported events for the cited work

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Observation 62813764-234d-42d2-98c9-488795bb2804 · outbound

This paper cites The power of noise: Redefining retrieval for RAG systems,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking The power of noise: Redefining retrieval for RAG systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.415506Z

Source-reported events for the cited work

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Observation b0b93027-c370-4053-8d03-73c25f75b44a · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Chain-of-thought prompting elicits reasoning in large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.284006Z

Source-reported events for the cited work

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Observation adcac040-981c-4788-82a1-856ac0d80c7b · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Tree of thoughts: Deliberate problem solving with large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.136411Z

Source-reported events for the cited work

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Observation 1525600a-2bd8-435f-a18e-733d85e4777e · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking WebGPT: Browser-assisted question-answering with human feedback,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:20.001369Z

Source-reported events for the cited work

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Observation 81427af9-035f-41ed-8d05-803de97ded51 · outbound

This paper cites Training verifiers to solve math word problems,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Training verifiers to solve math word problems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.882820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da344e52-cbe3-415f-b575-841eafb16f61 · outbound

This paper cites Pal: Program-aided language models,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Pal: Program-aided language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.743813Z

Source-reported events for the cited work

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Observation 02f3f20b-824e-44f8-8a98-9e48609d6816 · outbound

This paper cites Augmented Language Models: a Survey.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Augmented Language Models: a Survey

Reference 33

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Observation c69538bd-8fbd-4e1d-915e-4a5645d33fdc · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Function calling and other API updates,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.596777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65d63e55-d28e-49a6-a238-8d9b867b0cf1 · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking ReAct: Synergizing Reasoning and Acting in Language Models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c68d06-8369-4c2f-a872-42f59056284d · outbound

This paper cites API-Bank: A comprehensive benchmark for tool- augmented LLMs,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking API-Bank: A comprehensive benchmark for tool- augmented LLMs,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.460014Z

Source-reported events for the cited work

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Observation a9ad37c3-9d10-40e4-b403-35fa3841d78b · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Chain of tools: Large language model is an automatic multi-tool learner,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.284970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5ed659d-70c9-4c99-9d76-b2e6d4d45c5e · outbound

This paper cites CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ba232c-42fe-4499-812e-3a3b2e674870 · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking TALM: Tool Augmented Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:18.105501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d704af-fdff-4654-93df-498dd93d9282 · outbound

This paper cites Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis,.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:19.120933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 287a4f03-86a3-44ca-a6eb-2c9397205a47 · outbound

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

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Gorilla: Large Language Model Connected with Massive APIs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:18.258140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Document expansion by query prediction,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:18.948836Z

Source-reported events for the cited work

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Observation e0b01a4b-7c8d-4276-b846-c8a984fdc67c · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking The Faiss library

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:18.453302Z

Source-reported events for the cited work

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Observation 32e438b8-9ca3-488d-9676-c3cb36f312e0 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking C-Pack: Packed Resources For General Chinese Embeddings

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:18.525333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac22bec3-ca83-4c8e-b11a-783d14e76ee0 · outbound

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Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:18.614289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 035bbb25-9b9a-40d8-a9ca-6861d63a7a2c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:17.295547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.