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Paper Citation Record · LEDGER

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems

As of 2 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2604.11623.

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

pith.paper-citation-record.v1
2604.11623 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:42:11.969233Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T02:02:23.528948Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact13
  • verified fuzzy27
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11ba0e02-97ca-4a0a-9d52-4fc819cbf92f · outbound

This paper cites Agentic AI: a comprehensive survey of architectures, applications, and future directions.Artificial Intelligence Review, 59 (1):11.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Agentic AI: a comprehensive survey of architectures, applications, and future directions.Artificial Intelligence Review, 59 (1):11

Reference 1

Resolution
verified exact
doi, observed 2026-05-10T15:45:33.645570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:b8c046ad7844898b375d04273276a495aaf28426f3dd11d876fb516f377bfba3

Observation 234bda1d-b64d-4dde-ba0d-5c63056e5322 · outbound

This paper cites The orchestration of multi-agent systems: Architec- tures, protocols, and enterprise adoption.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems The orchestration of multi-agent systems: Architec- tures, protocols, and enterprise adoption

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T10:01:01.501160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:9ceefc0d7074d2095757231fd71abd4da23bb0870e6e27097d5c60b2d74f7a3d

Observation 54de8e71-6dab-482c-8c27-a358ecebcc6b · outbound

This paper cites an unresolved cited work.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Unresolved cited work

Reference 3

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verified exact
doi, observed 2026-05-10T15:45:33.741195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:76ae118f2cb2c58447bc915188dd5334984b83917ae5aa76aa52b1ce1745d6a8

Observation 0d6bbe84-2d40-4bf0-b188-5929145f1e42 · outbound

This paper cites AWS Bedrock agents: How agents work.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems AWS Bedrock agents: How agents work

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.854592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:75f317c933b52a057cf68a84673ea9befb0c97319d509523542e045b8981f9ea

Observation 324e8b70-1b7d-4605-8220-3a02ea8c3bf3 · outbound

This paper cites Angelopoulos and Stephen Bates.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Angelopoulos and Stephen Bates

Reference 5

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verified exact
doi, observed 2026-05-10T15:45:33.733020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:29a2d43ff222d26fa2770cc73a26194552be6579ea99fe657dc582e0d7209d30

Observation 860fdab6-5d2b-4864-a6ce-25bafc9fa25e · outbound

This paper cites Building effective agents.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Building effective agents

Reference 6

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raw_fallback, observed 2026-05-17T19:10:07.811127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:d54d10059b1a179ea2e02fc4e4e96a421c2afe57c088f0175d88dbd9c4008202

Observation c045bc64-d3b3-499b-a112-b7c52c2e2911 · outbound

This paper cites Model context protocol: Specification.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Model context protocol: Specification

Reference 7

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raw_fallback, observed 2026-05-17T19:10:07.798278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:5bd0cc2ee12be785d7d0da284cb2f6984ed783882e306a3b51909e6bbb18475c

Observation 70e69ddd-19c5-4077-bd55-a289b4cb4f33 · outbound

This paper cites Borg, Omega, and Kubernetes.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Borg, Omega, and Kubernetes

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:45:33.641914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:ccba51505652ffc779d87eaf8459a5b09ebee34e70ad6773a2f8626687300400

Observation 79b0964b-a816-4286-b062-b3e23bc18734 · outbound

This paper cites FedE : Embedding knowledge graphs in federated setting.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems FedE : Embedding knowledge graphs in federated setting

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:45:33.726455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:81662a4541710e9cf9d2ae580576407c1c5e663709e1c07622121e3439226c71

Observation 16f35117-14a5-4a51-9f2d-84fbdb695bdd · outbound

This paper cites AI tools trigger SaaS software stocks selloff.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems AI tools trigger SaaS software stocks selloff

Reference 10

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raw_fallback, observed 2026-05-17T19:10:07.808043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:255cc35a027f559c6d9fcd8d32a5c49ea2999adee9d6411a608c0e2b86f38e35

Observation 4737e195-379f-4568-b791-94d2719d6e33 · outbound

This paper cites CrewAI : Framework for orchestrating role-playing autonomous AI agents.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems CrewAI : Framework for orchestrating role-playing autonomous AI agents

Reference 11

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raw_fallback, observed 2026-05-17T19:10:07.814358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:22922fa536c77bfc2a0181d21051a5e529872e317cb5dbe0ddfaaeb62ccf7319

Observation 322f9d36-8f10-40de-93c7-8d519d442774 · outbound

This paper cites Data Mesh: Delivering Data-Driven Value at Scale.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Data Mesh: Delivering Data-Driven Value at Scale

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.791616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:354859a4bb1cec7e4ae3e6f4a8e8e0108ea51fcb518c77e56feb2dc1975c0d98

Observation 330b10b9-4f4b-4ac3-9ae4-907c050ac9f7 · outbound

This paper cites Kubernetes Operators: Automating the Container Orchestration Platform.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Kubernetes Operators: Automating the Container Orchestration Platform

Reference 13

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raw_fallback, observed 2026-05-17T19:10:07.770437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:21f0031fa5421ef5f9fc1a4e5ad994b9c5772a8eec73b2144ce0bfd51ffb4bcc

Observation 4bda1ed3-4211-49fa-86dd-a7fa8d9d0bcb · outbound

This paper cites Domain-Driven Design: Tackling Complexity in the Heart of Software.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Domain-Driven Design: Tackling Complexity in the Heart of Software

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.820332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1f3ccfb82b3318fa2ed15f41d1e384e7bc09215cce10187ba27d9f1c3eebc836

Observation d6e5541e-b5e2-4324-99cc-eacbc94fe86b · outbound

This paper cites Gartner predicts 40 percent of enterprise apps will feature task-specific AI agents by 2026.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Gartner predicts 40 percent of enterprise apps will feature task-specific AI agents by 2026

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.838886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:c2025315b2717d7a5aafa344da9d1675538f32dc4ab911fb7e1b6ac1828cc695

Observation 610c4407-75a9-4adc-8f56-1919cedaf326 · outbound

This paper cites Gartner predicts over 40 percent of agentic AI projects will be canceled by end of 2027.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Gartner predicts over 40 percent of agentic AI projects will be canceled by end of 2027

Reference 16

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raw_fallback, observed 2026-05-17T19:10:07.846809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:e97fcca2a758e8741667c489d7efad5914ac50d2c69382628e48e7cbd180f496

Observation b67b8739-d5c6-42db-b57d-7f570da79116 · outbound

This paper cites A2A : A new era of agent interoperability.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems A2A : A new era of agent interoperability

Reference 17

Resolution
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raw_fallback, observed 2026-05-17T19:10:07.826604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:757e7d4f2964af693f19e165296c0b86a0f12c39515a78955f616c76852236d5

Observation d7e75727-9a0c-4f0d-b1e6-86609468f3ad · outbound

This paper cites Global AI agents market size report, 2025--2030.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Global AI agents market size report, 2025--2030

Reference 18

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raw_fallback, observed 2026-05-17T19:10:07.850374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1101138ba0e5f85d92a8d7d0e72e581fddde819ee0929583efceac6ffa0c0cef

Observation 3fdd17c4-297f-492e-bf9e-2739293248aa · outbound

This paper cites Joseph, Randy Katz, Scott Shenker, and Ion Stoica.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Joseph, Randy Katz, Scott Shenker, and Ion Stoica

Reference 19

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raw_fallback, observed 2026-05-17T19:10:07.823860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:bb7063d4a42e7eb7b93dd5b26d1c98f3a9ed8a9e6b6235f76b16ccc2316fe47c

Observation 5b86313f-b922-474a-8ff6-bb5a392db4b1 · outbound

This paper cites Junqueira, and Benjamin Reed.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Junqueira, and Benjamin Reed

Reference 20

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raw_fallback, observed 2026-05-17T19:10:07.817346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:fb01820142fdff5c8353e3c2a17ec181fead40adcfbd4ac92b8a85654b0c66da

Observation 05a100be-ad45-472f-81d6-49d33a7cfb58 · outbound

This paper cites Why context engineering will define the next era of enterprise AI.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Why context engineering will define the next era of enterprise AI

Reference 21

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arxiv_id, observed 2026-05-11T10:01:01.480641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:89b9c17f8b7a83c2a2042740ce3d7e193ff2e4dfe59602524329a7825e23d3ba

Observation ddf0950f-2d15-44cd-8f43-1e0c90f72de2 · outbound

This paper cites Time, Clocks, and the Ordering of Events in a Distributed System.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Time, Clocks, and the Ordering of Events in a Distributed System

Reference 22

Resolution
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arxiv_id, observed 2026-05-10T15:45:33.650553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:ea79cf58c1afdc77b14a52e7e7ce07101ce14c8ec8ce69b48cb21c9c87e12111

Observation 18cfdcf3-4d73-4306-bae3-a29078482563 · outbound

This paper cites LangGraph : Build stateful multi-actor applications with LLMs.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems LangGraph : Build stateful multi-actor applications with LLMs

Reference 23

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raw_fallback, observed 2026-05-17T19:10:07.829736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:6314789a965e4d3bfb86b89d581799b6e40df43060fc4fa610466c05a40dfa97

Observation 71e72a2c-467e-43b4-a4fc-462db9e8eba9 · outbound

This paper cites LangSmith : LLM application observability.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems LangSmith : LLM application observability

Reference 24

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raw_fallback, observed 2026-05-17T19:10:07.842932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:3e9c27c7e414fa626f5ed09cb56cd19579c4e8c433b62b68181de66126899789

Observation 8116d669-653b-40cb-9fd4-c55d2c45489e · outbound

This paper cites Langfuse: Open-source LLM engineering platform.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Langfuse: Open-source LLM engineering platform

Reference 25

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raw_fallback, observed 2026-05-17T19:10:07.774739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:276c94daacfa92524049991721e7df71fd472e2960efda626ae1259c139316e0

Observation db9b4ebd-3afb-41ae-af17-4ee7f76258bc · outbound

This paper cites Microsoft Copilot Studio : Fundamentals.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Microsoft Copilot Studio : Fundamentals

Reference 26

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raw_fallback, observed 2026-05-17T19:10:07.767006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:00ce825935014e47cbf33aab75a7e0a39724707f6e3b3df1468eca3c2b1562b7

Observation 526eb22c-49d1-4cfd-8162-7ebca72a773b · outbound

This paper cites AutoGen : A framework for building multi-agent conversational systems.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems AutoGen : A framework for building multi-agent conversational systems

Reference 27

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raw_fallback, observed 2026-05-17T19:10:07.763578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:62a9c3ccd8d16e8fdf9da595dfda20b0e93fa45d57f8adc4dbdc8e5f9d73a0a1

Observation f709d2ad-571c-4a64-9236-00ae4166e622 · outbound

This paper cites From Autonomous Agents to Accountable Systems: The Enterprise Playbook for High-Trust, High- ROI AI.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems From Autonomous Agents to Accountable Systems: The Enterprise Playbook for High-Trust, High- ROI AI

Reference 28

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raw_fallback, observed 2026-05-17T19:10:07.804742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:7a6edf0aadae2187133cb0e13a7a5e72ec48f232a6e8724b1642ed26873081b1

Observation 25a81b7e-eeaa-4346-b415-6a25f61bdf73 · outbound

This paper cites The Enterprise Agentic Platform: Architecture, Patterns, and the AI Operating System.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems The Enterprise Agentic Platform: Architecture, Patterns, and the AI Operating System

Reference 29

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raw_fallback, observed 2026-05-17T19:10:07.794953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:947d1a6f000b007f018d2296e0354e9420d9e234ef55738e358f3e4150ce711e

Observation daab0ae9-6766-40e1-9997-81d202b1ce23 · outbound

This paper cites Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

Reference 30

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local_arxiv, observed 2026-05-11T10:01:01.456470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:a9644e3cc974268d2df9aba022fa85fe8caf1d96bb9922ea2912cfaaacd85a5a

Observation b993b8c5-3bed-42dc-96bf-cfb46c0d8368 · outbound

This paper cites Black-box reliability certification for AI agents via self-consistency sampling and conformal calibration.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Black-box reliability certification for AI agents via self-consistency sampling and conformal calibration

Reference 31

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arxiv_id, observed 2026-05-11T10:01:01.488336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:5d8d308bec1a6c8cf645901d9e2c56f3ccf85a911aa68ecaa65881972a6c6200

Observation 8c628c65-7b5d-4a5a-9491-9732ac0d2edf · outbound

This paper cites Artificial intelligence risk management framework ( AI RMF 1.0).

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Artificial intelligence risk management framework ( AI RMF 1.0)

Reference 32

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raw_fallback, observed 2026-05-17T19:10:07.801741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:50fcbec48208750a991b127108ab8451dcc08dea1325fc7cf667e005e3da53d4

Observation b28ff23a-1043-4b27-b440-d763cd2e957c · outbound

This paper cites The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation

Reference 33

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raw_fallback, observed 2026-05-17T19:10:07.781742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:8daa127dc61f84d6a62f724c389d0faff4e1eca1aedcc7dd79e226c8198476d0

Observation b460d1b9-977e-4395-b0b3-4323d34d6e37 · outbound

This paper cites NeMo guardrails.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems NeMo guardrails

Reference 34

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raw_fallback, observed 2026-05-17T19:10:07.785098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:f4de9bbe9328cbae20c2941bd7d41d2d05b9721f345787ee46cbcf2f317cfbc6

Observation b356d186-ce0c-4bb2-ad4a-95ca2f607269 · outbound

This paper cites Context engineering will decide enterprise AI success.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Context engineering will decide enterprise AI success

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:810f7df2868733676e3f1d664b416b0d35089c1ce0cfdde131dd1120fce43e64

Observation 353ed817-d2a8-4b56-a3a2-5c63b01329db · outbound

This paper cites Trism for agentic ai: A review of trust, risk, and security management in llm-based agentic multi-agent systems.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Trism for agentic ai: A review of trust, risk, and security management in llm-based agentic multi-agent systems

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:01.465947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:e38b1c541b3b560630b0d6507cea5fa2a7f68f36a2d737d535b31ecc576a4f4c

Observation aab8bd31-5187-4521-b432-a18395637db3 · outbound

This paper cites Enterprise agentic architecture.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Enterprise agentic architecture

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.778473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:6e3011ffc4a307180c44deb8c1e17e0a92f4d39d1b1e374cf65b0a530f0dfa32

Observation 8c94d43b-f73c-4fbf-9f9b-0b748db458dd · outbound

This paper cites Inside the brain of Agentforce : Revealing the Atlas reasoning engine.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Inside the brain of Agentforce : Revealing the Atlas reasoning engine

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T19:10:07.834358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:2e3e2256a476e920352426251e7073d9dd9d4f9252ec013465c53c4dad297220

Observation 86558fbe-bc74-45f1-9599-823f414d4faf · outbound

This paper cites Computer29(2), 38–47 (1996).

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Computer29(2), 38–47 (1996)

Reference 39

Resolution
verified exact
doi, observed 2026-05-10T15:45:33.744546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:3cef8e2806bc1538ebf65bb54a4868bc8a95959985a749d45149f860fb830656

Observation 11ecb39b-b7c3-4ab1-afe6-22e687a6eb62 · outbound

This paper cites In: Pro- ceedings of the European Conference on Computer Systems (Eur oSys’15), Bordeaux, France (2015).

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems In: Pro- ceedings of the European Conference on Computer Systems (Eur oSys’15), Bordeaux, France (2015)

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:45:33.737988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:c771e7ca896f140c8e2e0b0d54090ec2feae99327c53d1eeb2d02bb1141b417f

Observation 15bf27dd-4f9a-4d60-8bc2-f4c1a48607ad · outbound

This paper cites Vishnyakova.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Vishnyakova

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:01.471686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:09a14f2a0c759b1cc623ffa2917754300b85335fd19d8f4dca9d56bee65123bf

Observation 294c3f9e-2ab2-404e-9c6b-c3141c57710e · outbound

This paper cites Gammerman, A.

Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems Gammerman, A

Reference 42

Resolution
metadata mismatch
doi, observed 2026-05-10T15:45:33.729747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:f203001e08a6ec49ecbe633688c6d6a0c5cd0f9fc7cbdb8e54f715a52d24f152

Pith citing papers

Observation d6b1895f-91d4-4f5b-80b2-ffbf4182b66e · inbound

Towards an Agent Operating System - Lessons from Classical and Cloud OS cites this paper.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T02:02:23.528948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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