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Paper Citation Record · LEDGER

Beyond Component Testing: Validating Agentic AI Systems

As of 19 August 2026, this Paper Citation Record lists 100 of 278 outbound references and 0 inbound Pith citation observations for arXiv:2607.29405.

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

pith.paper-citation-record.v1
2607.29405 v1

Coverage vector

measured 100 of 278 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:41:24.414146Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

100 of 278 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved98
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 341c50e5-82a3-4e91-93fb-37a5867cfae5 · outbound

This paper cites 2021 , type =.

Beyond Component Testing: Validating Agentic AI Systems 2021 , type =

Reference 1

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source=arxiv_source observed=2026-08-03T07:41:24.179232Z digest=sha256:bb33aaae7d58d99471efce32e229bfd1a0a6ba2c827d74891c0252df14f72f4f

Observation 783f7a47-fb7f-451a-a8f4-7f348e2ac561 · outbound

This paper cites 2021 , type =.

Beyond Component Testing: Validating Agentic AI Systems 2021 , type =

Reference 2

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source=arxiv_source observed=2026-08-03T07:41:24.182274Z digest=sha256:ccdb15ac7fba38eb4da30b267af2fdee70caafcfb479a3e209fe3518b6e50876

Observation 0b86c591-110c-45ad-9594-339ed4eb1782 · outbound

This paper cites 2017 , note =.

Beyond Component Testing: Validating Agentic AI Systems 2017 , note =

Reference 3

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source=arxiv_source observed=2026-08-03T07:41:24.185046Z digest=sha256:464cad0b76922e2862ec178c767bc5ba6f9358c7a4d3cde0f902a4b0641c86cd

Observation 1855070c-882b-4c13-8e74-795f7b71e1c9 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-03T07:41:24.187418Z digest=sha256:ad9e9b8d1a6909c07f28b29ee601e5dc5b19c5cbf4d5f4f2650a36ba7211ad7c

Observation 845219c6-df21-4c66-991c-a8d6893b4b2d · outbound

This paper cites and Liu, S.

Beyond Component Testing: Validating Agentic AI Systems and Liu, S

Reference 5

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doi, observed 2026-08-03T07:43:29.595447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-03T07:41:24.190514Z digest=sha256:e0e8e83077352dd35af2e493028d87b9eabf76807cc78c0a51c7b3ad7a6f92c7

Observation 29d9f77c-11ec-462c-ba42-9d5e09babe95 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Beyond Component Testing: Validating Agentic AI Systems Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 6

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source=arxiv_source observed=2026-08-03T07:41:24.192899Z digest=sha256:025bd560996f1d9cb1d71a5c7b0d5e38733578f2230b61b535c7fbb3194cf863

Observation ebad696f-7b4c-4b46-9ae6-763122cd398b · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Beyond Component Testing: Validating Agentic AI Systems AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 7

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source=arxiv_source observed=2026-08-03T07:41:24.195674Z digest=sha256:9f77072269af68ebefd44f8fe53fb1df38b4a2dc93983d34fc9cffddad36250d

Observation 20145044-7902-4f9b-baf1-f5d6dc2085aa · outbound

This paper cites LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey.

Beyond Component Testing: Validating Agentic AI Systems LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Reference 8

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source=arxiv_source observed=2026-08-03T07:41:24.198153Z digest=sha256:129e34fedfcaeb64296e4f18e2d43fccdc1fab6fdc2c9a6f76fbf30520aebea8

Observation 58b9bae4-4c4f-4b6b-809b-37c80a5feb08 · outbound

This paper cites and Sandler, Corey and Badgett, Tom , title =.

Beyond Component Testing: Validating Agentic AI Systems and Sandler, Corey and Badgett, Tom , title =

Reference 9

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source=arxiv_source observed=2026-08-03T07:41:24.200681Z digest=sha256:f0616b16ac8f162a2cf6e66c748b27baf567a95db1a4258c58527767104c53b0

Observation baaf4f46-8ac9-420d-8910-ea11fab2d382 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-03T07:41:24.202752Z digest=sha256:b61b55b974417ee3b9834f8e02bde783ef4124de69477a9aa6516262be4eda58

Observation 1d9d1f4b-e4c0-4800-bf23-fa57a22afcee · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-03T07:41:24.204742Z digest=sha256:297747d8c033ace2cd5b09063d96be26e1d902d1a6163aeb3154df38f916493b

Observation 328ece90-d3e8-482a-9903-636e81f003c5 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-03T07:41:24.206825Z digest=sha256:5cb07e43d7e340d6f59f0f8d0a2caeb8439cbf54dab0eb641ba8c43bf83cdb88

Observation 6f0e163e-a794-408d-8036-aec87f461353 · outbound

This paper cites and Meshkat, S.

Beyond Component Testing: Validating Agentic AI Systems and Meshkat, S

Reference 13

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source=arxiv_source observed=2026-08-03T07:41:24.209188Z digest=sha256:4205167f64d9b5bd130457169aa834cc9e4f0045d64ff39460a758b36da843b9

Observation 0ed84599-32c5-4352-af9f-29dbd0d24011 · outbound

This paper cites Scientific Reports , year =.

Beyond Component Testing: Validating Agentic AI Systems Scientific Reports , year =

Reference 14

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source=arxiv_source observed=2026-08-03T07:41:24.211243Z digest=sha256:238d205b871e66d28726c78e7c25025d71ff8ccba235f32d0285be29cbc73383

Observation 6cec16c7-d195-4ea1-9bf7-62591d39fff6 · outbound

This paper cites and Li, X.

Beyond Component Testing: Validating Agentic AI Systems and Li, X

Reference 15

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source=arxiv_source observed=2026-08-03T07:41:24.213224Z digest=sha256:f25406a860f5f3c5b4ec3e279aaae31bdd229ac3e41d009854a91ca582c8e56a

Observation 4e09675a-8490-4663-8f34-7851bab3528a · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

Beyond Component Testing: Validating Agentic AI Systems Survey on Evaluation of LLM-based Agents

Reference 16

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source=arxiv_source observed=2026-08-03T07:41:24.215193Z digest=sha256:42173c69ce3f3e8dc6b228928cc0f8180274d76761335906d9815ce4982fab8d

Observation 8ee23ab1-c742-4058-b2c3-fd380dd2a867 · outbound

This paper cites and Ray, Baishakhi , title =.

Beyond Component Testing: Validating Agentic AI Systems and Ray, Baishakhi , title =

Reference 17

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source=arxiv_source observed=2026-08-03T07:41:24.217527Z digest=sha256:d9862149921544e7f853e619de067e043e1e267b2825e61090742ead560d6d9b

Observation 4886e0b6-7834-48f1-94b6-916a93d33fd3 · outbound

This paper cites ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.

Beyond Component Testing: Validating Agentic AI Systems ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Reference 18

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source=arxiv_source observed=2026-08-03T07:41:24.219547Z digest=sha256:8984d409fb0e4519a6ca0067e84667d49b6c9efb456a9c1c6952d1a4537a7dc1

Observation 0b49a41a-0632-4c25-92a8-ce265cbebe6c · outbound

This paper cites 2025 , eprint =.

Beyond Component Testing: Validating Agentic AI Systems 2025 , eprint =

Reference 19

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source=arxiv_source observed=2026-08-03T07:41:24.221923Z digest=sha256:cfcd735a78c0c394d166eb4c3ccb97f27b12821e4d249d7854e1ffb227db80ec

Observation 51a5b68a-430b-429c-9d58-c477a92bc88b · outbound

This paper cites , title =.

Beyond Component Testing: Validating Agentic AI Systems , title =

Reference 20

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source=arxiv_source observed=2026-08-03T07:41:24.223927Z digest=sha256:5738c80a296c3cf170ada3eb0008575225d1973361e2189cc67799cfdee9f08c

Observation 43498182-83df-4d29-893d-10cac44ed126 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Beyond Component Testing: Validating Agentic AI Systems Why Do Multi-Agent LLM Systems Fail?

Reference 21

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source=arxiv_source observed=2026-08-03T07:41:24.226077Z digest=sha256:47eded0a1005c980be2c79007af4cab57636941b239dfbc18e4965a120af9f1d

Observation 72ea9ee3-fb89-4a63-bdcd-18fc5307075b · outbound

This paper cites Proceedings of the 16th.

Beyond Component Testing: Validating Agentic AI Systems Proceedings of the 16th

Reference 22

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source=arxiv_source observed=2026-08-03T07:41:24.228467Z digest=sha256:63750519d24c8ef257874a1f3a7e9ab9bf110e7ad5015224ec88fb7d747581c8

Observation 8bf1057f-2c2e-4d17-9d4d-a1ca4a79c1f8 · outbound

This paper cites and Xiang, Weiming and Wolf, Marilyn and Tran, Hoang-Dung , title =.

Beyond Component Testing: Validating Agentic AI Systems and Xiang, Weiming and Wolf, Marilyn and Tran, Hoang-Dung , title =

Reference 23

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source=arxiv_source observed=2026-08-03T07:41:24.230363Z digest=sha256:1e50c1de7379547036a1b8ec79e9d005368d1fedd086193ffce3b44ca2a2fcc5

Observation ae478235-b603-411a-a108-87b6677719fa · outbound

This paper cites Systems, Software and Services Process Improvement (.

Beyond Component Testing: Validating Agentic AI Systems Systems, Software and Services Process Improvement (

Reference 24

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source=arxiv_source observed=2026-08-03T07:41:24.232264Z digest=sha256:38a9be9931badb876266968d469f49acf30a35c16ca00024c5076ab3431f4ff1

Observation 9261d1b0-3159-4ef0-a2b5-92b5e3377723 · outbound

This paper cites RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage.

Beyond Component Testing: Validating Agentic AI Systems RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage

Reference 25

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Observation 5a0d5b3f-a2d0-42ab-904b-809f5abba008 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Beyond Component Testing: Validating Agentic AI Systems Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 26

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Observation 44fb06ff-73b0-4697-b56b-6f6f22096a90 · outbound

This paper cites AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.

Beyond Component Testing: Validating Agentic AI Systems AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Reference 27

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source=arxiv_source observed=2026-08-03T07:41:24.239002Z digest=sha256:ef396ee991a938c3decaf46d61e25cca23fe46e2ecc81ac4ce29c5258e6c699c

Observation 41a388ad-f86d-4870-bf54-0aae07a54a4b · outbound

This paper cites AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Beyond Component Testing: Validating Agentic AI Systems AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 28

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Observation bd6df616-6390-489f-b88e-fba8290609c0 · outbound

This paper cites Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS).

Beyond Component Testing: Validating Agentic AI Systems Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)

Reference 29

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Observation 4bcb8096-d1cd-4106-a4cf-49ab851f6597 · outbound

This paper cites G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

Beyond Component Testing: Validating Agentic AI Systems G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems

Reference 30

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source=arxiv_source observed=2026-08-03T07:41:24.246086Z digest=sha256:e1cb2a00b0875585e6b9d0981adf2f634eb35c8b97d8e94c66d5f247a08725a0

Observation c40b8b62-d146-4ac4-bee0-46d95863a2f1 · outbound

This paper cites 2025 , eprint =.

Beyond Component Testing: Validating Agentic AI Systems 2025 , eprint =

Reference 31

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source=arxiv_source observed=2026-08-03T07:41:24.248337Z digest=sha256:171666b1e7131a69c085e8f184f072f5a9b9c5259c1d4d930f9d110f0d6a8aef

Observation f4f6d1b1-c82c-4981-a1b0-bbb0274218e3 · outbound

This paper cites 2025 , type =.

Beyond Component Testing: Validating Agentic AI Systems 2025 , type =

Reference 32

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source=arxiv_source observed=2026-08-03T07:41:24.250315Z digest=sha256:ad4d13d8df63b55f3383e88bb5160e74e6c226c4fd3e427d114642728c11241c

Observation 16675a34-cf32-44bd-802e-81d086013930 · outbound

This paper cites 2025 , type =.

Beyond Component Testing: Validating Agentic AI Systems 2025 , type =

Reference 33

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source=arxiv_source observed=2026-08-03T07:41:24.252918Z digest=sha256:fa3c22acd47d54be8e3e4cf35c705c5b9b517ffb8fbb8024569504dad191bdcf

Observation 23a2a4f0-4fcf-4704-a655-b2a4400a05f9 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-03T07:41:24.255165Z digest=sha256:a9089242aaf546cd5fced37a6c204e2316ac87bfa92e68e9ee8688520e9a9c8a

Observation dc781ca8-58c0-48b8-bcb9-be727c17bcc8 · outbound

This paper cites and Finfer, Simon and others , title =.

Beyond Component Testing: Validating Agentic AI Systems and Finfer, Simon and others , title =

Reference 35

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source=arxiv_source observed=2026-08-03T07:41:24.257454Z digest=sha256:71efc7e76666082ef0d522e9275436f400167713ad81ac0831cf6decb7efea8b

Observation 31a50c2a-5823-4387-8fa2-b3e827155244 · outbound

This paper cites 2023 , eprint=.

Beyond Component Testing: Validating Agentic AI Systems 2023 , eprint=

Reference 36

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source=arxiv_source observed=2026-08-03T07:41:24.259602Z digest=sha256:068bfe4113a0d53c56890a51a01b538c58cd5a04ca77e5fdb1df3c9b8f78d8a9

Observation 1111db73-5d73-4ba9-b1cb-ed7906881ce5 · outbound

This paper cites 2018 , eprint=.

Beyond Component Testing: Validating Agentic AI Systems 2018 , eprint=

Reference 37

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source=arxiv_source observed=2026-08-03T07:41:24.262083Z digest=sha256:fe539916827dee78a77de1ce5909b98ab5577b1568e1cd50e4bef2feb5bc1539

Observation f7a4bb38-b0c2-40e1-8053-395e03550536 · outbound

This paper cites doi:10.1109/ICAIDES67265.2025.11404085 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICAIDES67265.2025.11404085 , note =

Reference 38

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source=arxiv_source observed=2026-08-03T07:41:24.264061Z digest=sha256:8a5b2f41a17a1f2d06a0b320f43ad99fa680686e1c84753b39e9c3d1246b2e50

Observation fa14a5d1-2e08-45a0-960a-192f34cb4ae0 · outbound

This paper cites Machine Learning Operations (.

Beyond Component Testing: Validating Agentic AI Systems Machine Learning Operations (

Reference 39

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source=arxiv_source observed=2026-08-03T07:41:24.266210Z digest=sha256:164f68deb835f5367bd04ffcf41e453c1c453db4c538d5444eb3c7f509f7aac3

Observation c50a0008-b4e1-44cb-8471-ea71a92a9af8 · outbound

This paper cites Proceedings of the 2024.

Beyond Component Testing: Validating Agentic AI Systems Proceedings of the 2024

Reference 40

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source=arxiv_source observed=2026-08-03T07:41:24.268234Z digest=sha256:c9fdd6101e8535f9d92711abb872b48b0ca062a1701d1a34b466d00e6c9dd363

Observation 358d8f4d-21d6-4e72-8221-a83455859ae9 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

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source=arxiv_source observed=2026-08-03T07:41:24.270140Z digest=sha256:95a2075759767c4cdee546aef33a2cb73ce1230ea5359a0d4076be374dc2765b

Observation c7be8c30-b0f3-4483-8ed7-d00418516306 · outbound

This paper cites and others , title =.

Beyond Component Testing: Validating Agentic AI Systems and others , title =

Reference 42

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source=arxiv_source observed=2026-08-03T07:41:24.272110Z digest=sha256:64506473eaa2ac357319d364a1f1b295897e7ee45bdc28003ada8cef248ba67b

Observation 912ee55b-ed8a-4a99-82d5-4229e7a9d4f2 · outbound

This paper cites A Comprehensive Study and Implementation of Agentic AI via MCP Servers , doi =.

Beyond Component Testing: Validating Agentic AI Systems A Comprehensive Study and Implementation of Agentic AI via MCP Servers , doi =

Reference 44

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source=arxiv_source observed=2026-08-03T07:41:24.276005Z digest=sha256:9830d2af5797eb016ff96319db14dc9ce8216f286a9257a896bc617841e4404f

Observation 3780e772-3b7a-4a3d-94cb-ebce4764f277 · outbound

This paper cites doi:10.1109/ACCESS.2026.3651218 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ACCESS.2026.3651218 , note =

Reference 46

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source=arxiv_source observed=2026-08-03T07:41:24.280028Z digest=sha256:fc1359c8b2161d4a84003c0dc81e3de96283c5632ed2d0b4ac5c98316b60020b

Observation 90331471-41cf-4cb5-83a6-bcb164938f5a · outbound

This paper cites doi:10.1109/CCNC65079.2026.11366609 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/CCNC65079.2026.11366609 , note =

Reference 47

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source=arxiv_source observed=2026-08-03T07:41:24.282142Z digest=sha256:a363c4e44de33fe9177af3502b3cc0d314bfbbc3eea54836bfd68aa626da3459

Observation 292c3c7d-abdf-40d1-a233-ece21be2516d · outbound

This paper cites doi:10.1109/ICMLA66185.2025.00213 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICMLA66185.2025.00213 , note =

Reference 48

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source=arxiv_source observed=2026-08-03T07:41:24.284005Z digest=sha256:6ae30cd571c12916607b2100ea272fcfd73c3a21ef85bc29c2e6d325a278b13f

Observation e20a7efc-1ff5-4b48-afbc-efc6ebe87ce2 · outbound

This paper cites Toward Constitutional Autonomy in AI Systems: A Theoretical Framework for Aligned Agentic Intelligence , year=.

Beyond Component Testing: Validating Agentic AI Systems Toward Constitutional Autonomy in AI Systems: A Theoretical Framework for Aligned Agentic Intelligence , year=

Reference 49

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source=arxiv_source observed=2026-08-03T07:41:24.285951Z digest=sha256:065285c08c087d6302605b477a2a2e47960a4b64efdd804f1406771341d1c481

Observation 8a5c6ab8-303b-4379-b0b6-3f58b6269961 · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-03T07:41:24.287913Z digest=sha256:51450cb67277c5335b3df610847b931a28cc9760be7c3c27b2eb632dff2f3b43

Observation 94ebd5fb-6829-449a-af27-4c13b2ec2a9d · outbound

This paper cites NeuroMetaQDS: An Interpretable Rule Based Quantized Decision System for Robust Regression Under Concept Drift , year=.

Beyond Component Testing: Validating Agentic AI Systems NeuroMetaQDS: An Interpretable Rule Based Quantized Decision System for Robust Regression Under Concept Drift , year=

Reference 51

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source=arxiv_source observed=2026-08-03T07:41:24.289791Z digest=sha256:55eaeeb24622d54cf20ce46819c3b9f250960f39a0f641dad3dad981f74fc69b

Observation 0396006b-6453-4630-9476-06bc1070401e · outbound

This paper cites Updating Machine Learning Models in Real-World Applications: Finding Best Deployment Settings , year=.

Beyond Component Testing: Validating Agentic AI Systems Updating Machine Learning Models in Real-World Applications: Finding Best Deployment Settings , year=

Reference 52

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source=arxiv_source observed=2026-08-03T07:41:24.291668Z digest=sha256:c9e99299b020dbb35e3528bd961a638cebb9595c10a633626e8dc8e00b56c522

Observation eac2c7cf-0018-4366-931e-11d6cf285b68 · outbound

This paper cites Extending the TMMi Framework for Secure Testing of AI Agents , year=.

Beyond Component Testing: Validating Agentic AI Systems Extending the TMMi Framework for Secure Testing of AI Agents , year=

Reference 53

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source=arxiv_source observed=2026-08-03T07:41:24.293662Z digest=sha256:e775d8fcc7e9c9b41fc8dc440683edd017e26920619746e8e617551d53f025f3

Observation 0e0a0c14-0a2a-4a86-8806-f2cfdf158a68 · outbound

This paper cites and Anderegg, Alfred H.

Beyond Component Testing: Validating Agentic AI Systems and Anderegg, Alfred H

Reference 54

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source=arxiv_source observed=2026-08-03T07:41:24.295584Z digest=sha256:ba39d515d4bc286b0b023c4d067c553682674192faee836fc9b66c63d0fc19d9

Observation ffba740a-c92f-495b-8e04-5da4c4856ea3 · outbound

This paper cites Cognitive SOC: Evidence-Backed Narrative Generation for Security Operations with Multi-Agent LLM Architecture , year=.

Beyond Component Testing: Validating Agentic AI Systems Cognitive SOC: Evidence-Backed Narrative Generation for Security Operations with Multi-Agent LLM Architecture , year=

Reference 55

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source=arxiv_source observed=2026-08-03T07:41:24.297453Z digest=sha256:45a0f649df87d61a712daa0789926d60f34094bc7476ab85a3b2589b7909e3ad

Observation 8db6d9db-2046-4623-ad2b-81cc1b62d068 · outbound

This paper cites doi:10.1109/VIS60296.2025.00037 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/VIS60296.2025.00037 , note =

Reference 56

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source=arxiv_source observed=2026-08-03T07:41:24.299388Z digest=sha256:5c332e575cd9f26edca8e6a2def64fb1c607e54e3b11575af3d7b74c618fd92d

Observation e45abf8f-368d-4a53-9a50-21666ed3d5fc · outbound

This paper cites 2023 , eprint=.

Beyond Component Testing: Validating Agentic AI Systems 2023 , eprint=

Reference 57

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source=arxiv_source observed=2026-08-03T07:41:24.301315Z digest=sha256:0e7b3f5970886c43fcb2ac5dda310e359b99ab460cd9074285d07fbcb8bcebea

Observation e9cad725-74f0-4f2b-965d-d2ed6fd7a913 · outbound

This paper cites 2025 , eprint=.

Beyond Component Testing: Validating Agentic AI Systems 2025 , eprint=

Reference 58

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source=arxiv_source observed=2026-08-03T07:41:24.303532Z digest=sha256:74d75e8652bbcfa2466ad5a4def4216319796bb7cb3e4d1d1d756f0e596ccf02

Observation 357f6d9f-aa28-4728-aed7-14b598c75438 · outbound

This paper cites Learning Multi-Agent Coordination for Replenishment At Sea , year=.

Beyond Component Testing: Validating Agentic AI Systems Learning Multi-Agent Coordination for Replenishment At Sea , year=

Reference 59

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source=arxiv_source observed=2026-08-03T07:41:24.305397Z digest=sha256:38efcd428c0eccafdf94f331859b441655fe9cfd02ea18f180d6d724458d31a4

Observation 6741213b-f055-40f1-b498-7a5bdda71e50 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Beyond Component Testing: Validating Agentic AI Systems WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 61

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source=arxiv_source observed=2026-08-03T07:41:24.309659Z digest=sha256:0f44160f7810a73f12b71fbcd7794090e90dfe05646e8796512fd07d2ea5deb9

Observation 41335432-68b4-4fb8-8938-2e73c02ab2c0 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

Beyond Component Testing: Validating Agentic AI Systems $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 62

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source=arxiv_source observed=2026-08-03T07:41:24.311841Z digest=sha256:6ec1bb26afb23526308b5d0b157eb3aa79572543ff68171090d5b46fefe6008b

Observation ecde07a1-275c-4b25-ba4d-c7856806209c · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

Beyond Component Testing: Validating Agentic AI Systems AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 63

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source=arxiv_source observed=2026-08-03T07:41:24.314016Z digest=sha256:ae38b470596c9c08a214667eac91f41b6c70b010cf90c74723766f6b0c54de2b

Observation 45ba2f0f-ca32-4dfd-a08d-d5376b3f9e33 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Beyond Component Testing: Validating Agentic AI Systems TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 64

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source=arxiv_source observed=2026-08-03T07:41:24.316165Z digest=sha256:a9d7c53c94a4b762270f19e04f1cda94a5a1f167c901136d1dbb74b69ced7ffb

Observation e379db9d-d793-4ab3-b7f0-948034978f58 · outbound

This paper cites and Li, Y.

Beyond Component Testing: Validating Agentic AI Systems and Li, Y

Reference 65

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source=arxiv_source observed=2026-08-03T07:41:24.318590Z digest=sha256:b8b265edfe665ac337426b464c1c43289751766c1d693c3f42982e159e261a9d

Observation 5c8f3c7c-03d2-43f8-8bdc-8b53e0fbbc13 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Beyond Component Testing: Validating Agentic AI Systems AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 66

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source=arxiv_source observed=2026-08-03T07:41:24.320525Z digest=sha256:661f8ade0758ef059c62aefbd66810e4f7b70d50680b14cbb34b7ef3918afeef

Observation 9efc943f-99fe-42b2-a427-ac06b9f039bd · outbound

This paper cites an unresolved cited work.

Beyond Component Testing: Validating Agentic AI Systems Unresolved cited work

Reference 67

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source=arxiv_source observed=2026-08-03T07:41:24.322753Z digest=sha256:a1b5511da2f76025b32ac1fe5c7989446a74ebd1c5d3c5cb7ab159c492a879ed

Observation f40ac601-6e90-4019-87f0-f5431451f7be · outbound

This paper cites , title =.

Beyond Component Testing: Validating Agentic AI Systems , title =

Reference 68

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source=arxiv_source observed=2026-08-03T07:41:24.324686Z digest=sha256:cbe3813dde792618ab9eed677a369b1e5c02125eacd3020037160d8b100dae73

Observation 2e9e7d6f-7324-4f72-a079-da500c1df585 · outbound

This paper cites Data-centric Artificial Intelligence: A Survey.

Beyond Component Testing: Validating Agentic AI Systems Data-centric Artificial Intelligence: A Survey

Reference 69

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source=arxiv_source observed=2026-08-03T07:41:24.326971Z digest=sha256:44532192e94a3e833acaaabf18518930d2cdf4e6c3b99e70dbe45d974ce1cfb5

Observation 511eef33-4bf4-4963-b368-d967b1ed4a5e · outbound

This paper cites , title =.

Beyond Component Testing: Validating Agentic AI Systems , title =

Reference 70

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source=arxiv_source observed=2026-08-03T07:41:24.329370Z digest=sha256:0260564c27b8524a98cf8e66c6e19b854215b65acb9d7cabc0a6bd1e79c78386

Observation f0da3439-08f6-4d3d-8aa2-1b9a88ceb09c · outbound

This paper cites Concrete Problems in AI Safety.

Beyond Component Testing: Validating Agentic AI Systems Concrete Problems in AI Safety

Reference 71

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source=arxiv_source observed=2026-08-03T07:41:24.331448Z digest=sha256:159aa55f03400c571fd29c4419ff019b10a35a8d71133c15100a5aa92fc7b23f

Observation 8123831f-37e3-44cd-b4b1-dc00a33ca721 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Beyond Component Testing: Validating Agentic AI Systems Language Models (Mostly) Know What They Know

Reference 72

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source=arxiv_source observed=2026-08-03T07:41:24.333656Z digest=sha256:ffaa6c76a2d8ae565a8528752bea4f2f649a639921d79c30f93a77ba11c1a704

Observation 1a931c84-fff2-455a-9293-dfecdb6d5d6f · outbound

This paper cites Troubling Trends in Machine Learning Scholarship.

Beyond Component Testing: Validating Agentic AI Systems Troubling Trends in Machine Learning Scholarship

Reference 73

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source=arxiv_source observed=2026-08-03T07:41:24.335912Z digest=sha256:d18f0afa31b49c76e46686206f2c7fadbb99310c5c6086a291e76e599909ff90

Observation bc9a6f79-7158-45b8-826f-e0e69b272e7e · outbound

This paper cites CHI Conference on Human Factors in Computing Systems (.

Beyond Component Testing: Validating Agentic AI Systems CHI Conference on Human Factors in Computing Systems (

Reference 74

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source=arxiv_source observed=2026-08-03T07:41:24.338165Z digest=sha256:f740b53593b364243842749600bd66ae6f0bc6151d33482e3b823d7c353424ce

Observation 59de0d6e-2c20-48ae-ad36-22f94a52e206 · outbound

This paper cites 2016 , howpublished =.

Beyond Component Testing: Validating Agentic AI Systems 2016 , howpublished =

Reference 75

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source=arxiv_source observed=2026-08-03T07:41:24.340374Z digest=sha256:08456f386a1e5aaf11d6f6596736f3a916e27257d186ec0e144bc62deac6dd46

Observation 481c3707-aa95-476f-a222-b8cc23033efc · outbound

This paper cites Holistic Evaluation of Language Models.

Beyond Component Testing: Validating Agentic AI Systems Holistic Evaluation of Language Models

Reference 76

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source=arxiv_source observed=2026-08-03T07:41:24.342356Z digest=sha256:57f7f5cd91fbeab6e508c6f3569018d813a6d71817253da456715688c1bc5240

Observation 5e046ade-b1f2-4404-87e2-06210857cf19 · outbound

This paper cites Reliability-by-Design for Agentic GenAI: Turning the AI Risk Atlas Into an EU AI Act-Ready Assurance Case , volume =.

Beyond Component Testing: Validating Agentic AI Systems Reliability-by-Design for Agentic GenAI: Turning the AI Risk Atlas Into an EU AI Act-Ready Assurance Case , volume =

Reference 78

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source=arxiv_source observed=2026-08-03T07:41:24.346763Z digest=sha256:7c658ad6117b9147861fb6111f8f02d9a0c320842e9f0457ac649ebe57c9713a

Observation 78709616-15f7-4850-a2b3-399a3f0a5195 · outbound

This paper cites doi:10.1109/EDUCON62633.2025.11016653 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/EDUCON62633.2025.11016653 , note =

Reference 80

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source=arxiv_source observed=2026-08-03T07:41:24.350579Z digest=sha256:a18f97eb95e9916e9671e6435b95ece271ce0bbf56b89586dda5068fb9621afa

Observation a31fd627-0d7c-4223-b5c1-819508b565c7 · outbound

This paper cites doi:10.1109/ACCESS.2026.3650833 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ACCESS.2026.3650833 , note =

Reference 81

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source=arxiv_source observed=2026-08-03T07:41:24.352456Z digest=sha256:ad7f9168535634299914fdc8e55f0e8083436845eb89516e06ac4200a3c8f9b8

Observation bbd6a5bd-10d4-49a6-82c0-594f002b6445 · outbound

This paper cites doi:10.1109/ICICNIS66685.2025.11315712 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICICNIS66685.2025.11315712 , note =

Reference 82

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source=arxiv_source observed=2026-08-03T07:41:24.354286Z digest=sha256:442a4f927193d5c84ae07afdf483e6f39ca87c0d0be82e2c62475144c8266bc8

Observation 5fe529aa-888c-43a0-a637-8bdf195057d7 · outbound

This paper cites doi:10.1109/ISSREW63542.2024.00053 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ISSREW63542.2024.00053 , note =

Reference 83

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source=arxiv_source observed=2026-08-03T07:41:24.356211Z digest=sha256:e0e3a10b712e8cca5fe460b76bce35c26c565dc5c98ef70ba05d5bcde0e1b2d9

Observation 7ec45a21-93fa-4062-a59a-2a185e331a75 · outbound

This paper cites doi:10.1109/ACCESS.2026.3675554 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ACCESS.2026.3675554 , note =

Reference 84

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source=arxiv_source observed=2026-08-03T07:41:24.358076Z digest=sha256:522828aedadbe989634d4395ec7716ccf16f1119359924530c5d3046b90077ca

Observation d5843ec3-7baa-40c3-8d3c-64381b60a2e2 · outbound

This paper cites doi:10.1109/ISWTA68114.2025.11329530 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ISWTA68114.2025.11329530 , note =

Reference 86

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source=arxiv_source observed=2026-08-03T07:41:24.362121Z digest=sha256:83291323286acbf71dca61991b082cb118c1aace1d05c07e5105db611714bf42

Observation abf98368-a9e8-404b-8a27-78d6d9b26dc7 · outbound

This paper cites doi:10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00022 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00022 , note =

Reference 89

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source=arxiv_source observed=2026-08-03T07:41:24.367864Z digest=sha256:841b7ac5eec7d2a9eeadc48deaf5a8908ce6db24ad10a7f2f5deee44b5ecf554

Observation e15231f5-1767-4329-88e7-bcb3d17bdf27 · outbound

This paper cites doi:10.1109/TASLPRO.2025.3626926 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/TASLPRO.2025.3626926 , note =

Reference 90

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source=arxiv_source observed=2026-08-03T07:41:24.369749Z digest=sha256:14e4acad75f41dacbd8a2ce7d0dafab268a12cd8039648d63e8f7bb7abce4fa2

Observation c365ccce-6d1b-46b4-8f45-e197b0e28d4b · outbound

This paper cites doi:10.1109/ASRU65441.2025.11434725 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ASRU65441.2025.11434725 , note =

Reference 91

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source=arxiv_source observed=2026-08-03T07:41:24.371690Z digest=sha256:b77f1ebd68908f576fdb21d988f47191e20e9f2a29da55ec509fd32ccb9a44a5

Observation 64e624c7-780a-4081-bed1-c5f99d3468f9 · outbound

This paper cites doi:10.1109/ICOSEC67334.2025.11459598 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICOSEC67334.2025.11459598 , note =

Reference 92

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source=arxiv_source observed=2026-08-03T07:41:24.373685Z digest=sha256:66b75a96d4e04baa5936f6117e120c2103378658b1f0af47d7b1435c461de331

Observation e0925a40-1d65-4c59-8849-39121f313d06 · outbound

This paper cites doi:10.1109/CCWC67433.2026.11393746 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/CCWC67433.2026.11393746 , note =

Reference 93

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source=arxiv_source observed=2026-08-03T07:41:24.375728Z digest=sha256:e5fcab45c26b28990658950711d09b04a1db44a36922fbddce30253a9f331141

Observation d93ee4dd-4741-4880-9b72-491c6598f238 · outbound

This paper cites doi:10.1109/AISP68263.2025.11396270 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/AISP68263.2025.11396270 , note =

Reference 94

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source=arxiv_source observed=2026-08-03T07:41:24.377701Z digest=sha256:3cfd97769a44863a983ef76c95f4f2b83fe828330618e939ccb5483b89433424

Observation 7c538629-58d2-4c04-bc00-acd30d54b216 · outbound

This paper cites and van Deursen, Arie , year=.

Beyond Component Testing: Validating Agentic AI Systems and van Deursen, Arie , year=

Reference 95

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source=arxiv_source observed=2026-08-03T07:41:24.379614Z digest=sha256:27da1e952b1b35a30491e5b869086f899b45b7174fc1c40374e1d435c0cf84b0

Observation 55441dd8-08a7-4bfd-bbce-28cae71825fc · outbound

This paper cites doi:10.1109/ISDFS69419.2026.11458927 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ISDFS69419.2026.11458927 , note =

Reference 97

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source=arxiv_source observed=2026-08-03T07:41:24.383534Z digest=sha256:0867717b6916a49c508700afbef9ba41cc03ab5bc9cdae344fcadbec8a67c141

Observation 3ffc6e93-21cf-4033-9715-4311fc1ec980 · outbound

This paper cites doi:10.1109/ICSR66718.2025.00016 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICSR66718.2025.00016 , note =

Reference 98

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source=arxiv_source observed=2026-08-03T07:41:24.385462Z digest=sha256:4ff2e1aaa4e3c06b3b87953e676bb2bd6c52a1c132584201bc9fa31bfd5401bf

Observation 242f30ac-9d4f-4a95-aedf-9d8dad559e40 · outbound

This paper cites doi:10.1109/ICA67499.2025.00010 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICA67499.2025.00010 , note =

Reference 99

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source=arxiv_source observed=2026-08-03T07:41:24.387418Z digest=sha256:2d6c26496f8c0a14e05c216ea338c0159bbd24d4b3598f85906fd1eda921a655

Observation d3b98e1c-9ca4-4273-b3a7-f659e2d08c1d · outbound

This paper cites doi:10.1109/GCWCN66157.2025.11448456 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/GCWCN66157.2025.11448456 , note =

Reference 100

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source=arxiv_source observed=2026-08-03T07:41:24.389321Z digest=sha256:333b41815081d5bc6a71e1463ebc946b9b53171578e4019a472482db7aac6c42

Observation 9506bb0b-140d-4284-ae78-3c009e1f3f1b · outbound

This paper cites doi:10.1109/TCAD.2023.3303220 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/TCAD.2023.3303220 , note =

Reference 102

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source=arxiv_source observed=2026-08-03T07:41:24.393684Z digest=sha256:e729093e0156c47385d15bdb5d476b54614724f2b74120b332d30fb5def62084

Observation 6499a697-c390-4d7f-ade4-3021f0c41ab3 · outbound

This paper cites doi:10.1109/TNNLS.2021.3122531 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/TNNLS.2021.3122531 , note =

Reference 103

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source=arxiv_source observed=2026-08-03T07:41:24.395695Z digest=sha256:28bd6f9f25c175fb8cda194ec9b48804b8c933c74655b6fb2112abf25b1fd5cf

Observation 7e9f55da-9f9b-4998-a111-cb9cb173fc2b · outbound

This paper cites doi:10.1109/RAAI67517.2025.11423369 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/RAAI67517.2025.11423369 , note =

Reference 104

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source=arxiv_source observed=2026-08-03T07:41:24.397658Z digest=sha256:9309083237c5f851b6599b3272dc54443bbd5e6b15f4447854a0a447e0fd9bef

Observation a063b1d6-a69c-4b98-bbaf-6a1ea472ca05 · outbound

This paper cites doi:10.1109/ETFA65518.2025.11205685 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ETFA65518.2025.11205685 , note =

Reference 107

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source=arxiv_source observed=2026-08-03T07:41:24.403772Z digest=sha256:24debde3772914ab9103dd24fdee03de9f9c862182d4a04d9795bd69a7dcc397

Observation 32a56619-5f53-4c44-a042-7663c3c781ee · outbound

This paper cites doi:10.1109/ICCA66035.2025.11430939 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICCA66035.2025.11430939 , note =

Reference 108

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source=arxiv_source observed=2026-08-03T07:41:24.405696Z digest=sha256:8e92845caecfe85d3d3cce48541ac42b951648bf67dffe176fc5fd9c07055ea6

Observation c3384f4b-c1a0-4bcb-84a7-0a711ab76260 · outbound

This paper cites doi:10.1109/CVPR52688.2022.01846 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/CVPR52688.2022.01846 , note =

Reference 109

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source=arxiv_source observed=2026-08-03T07:41:24.408015Z digest=sha256:a7a6b1fccb24f7467859da55335367b779d9865e1970c2fd46718090843a89b9

Observation 7aa8e811-23e7-4f8b-88c1-7041dd1dc92c · outbound

This paper cites doi:10.1109/TCSS.2025.3605582 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/TCSS.2025.3605582 , note =

Reference 110

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source=arxiv_source observed=2026-08-03T07:41:24.410029Z digest=sha256:48ae39c8fb0bc95df5fff6770a7218cf6187181aac1ea4995a352da647c6bb5b

Observation 125beba5-6ed8-4c51-b779-8eaba471277a · outbound

This paper cites doi:10.1109/ACCESS.2025.3588425 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ACCESS.2025.3588425 , note =

Reference 111

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source=arxiv_source observed=2026-08-03T07:41:24.411943Z digest=sha256:3bc5cb863584d08035f08a6783407f919a2ca863e36728ed41f4cd85cd21178a

Observation 97694bf6-00bf-4a51-a2c9-607315958cce · outbound

This paper cites doi:10.1109/ICSADL67539.2026.11451817 , note =.

Beyond Component Testing: Validating Agentic AI Systems doi:10.1109/ICSADL67539.2026.11451817 , note =

Reference 112

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source=arxiv_source observed=2026-08-03T07:41:24.414146Z digest=sha256:49bbbef01356e6e42efac70e9d5f4362d0cb97bf78a89dc8724ecb57d92b351a

Pith citing papers

No inbound Pith citation observations are available.