Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:231ba42fc517cce669f56427b6602c9d7328f8157d41940601619d5b74832c03

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:fffbf5a9ff4507140095ebbae60085b632e11495566d66bc699f7b7f2026f6a0

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:149a0d243a0cd1add0a1cf06c2c5a2ae71f97b05089214f9a0585195fd805c9c

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:d923a1864a58b6cf51522fa126a288e39599904db67a57fb29cd592b2efd2568

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:3c6009b05cab05b3f545910d5a751d9876dade3a9880dcb8141da8d1ffa1cbfa

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:fab8ee11f5176436e94597abf7e4ae9a2b1af14ff430fa0a44009e26b1159483

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:55ef1e9846728b7d7073c1f26c87d1eca7f4ab154cc3434faeb3ddbd48782f64

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:7a7dda1ae202ebbf51bf3a0363577a5b3d133907a8564018e6380559131f47cb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:272ab4ef177111ecbcf7fae8c9927fe9f124aa73402f6bea5243587ccef59409

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:6caf48624df58a300b05f31735d12e6dd287aa9989780e202e011d43210e4cee

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:6df4c88e4c331a4b1b6927fd9ec056bad3a553a5f33625798d39f0ced2e9ab47

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:11c02bf2b0dc7f347d7829e8ad79b10f02294064646148b51f0aacf6f2307e2a

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:adc6f9db440a1dabccf88f2a1ff41b8a8dead19922ae840a9e217f9ed89ab99c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1dab37710a74bf678afa55edde982ad7c23253bc7a2139472bf4bfd8ef0fd4e8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:227df0bc47b2440215226079d2501e59ff0f655259d5741565089d197ecf142c

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1ddc8331f8a0934e57653b1094824250f057d44686904a1f9f7a487da48b742a

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:b37e09bf59fae9031e56bc1da0019b7e134691bfff77641490a66ad193a9e9a3

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1a9237236a0c45a63b5fb8fd0cd141f9d07d070e6c033a307c416dd076cf1176

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:268a7d86f6dc9b34c3b326e1455af1d90b2c2198fe869adcfdc18c9a6bb55fd2

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:0328d0cae6f3f3c53aa4c9f0532ee5ffa0a0e3c8b7d0c93c25a215747842e41e

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

Resolution
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:e8729ada4e3f1e0147940712f226f843a7dd15ebda6d69e3417c8c7610f2c0ff

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
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:60604e6ac5b228c6012c3f23e838d8b45582778a07c0c044de851357b5b58bed

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:9c7f9f8579001e6a423eb9cf6f4f3dd5bdbf0250c9351b0f05a80d7e187fd846

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:f493552f243b02314bbefdf574e207ce6d5b782ed7a3822e2902ee812950182d

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:fb53eea291a3fd6db8efb81f2c8d5bbb6dd9edd45c2b2d489c4acaa8009e8a20

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:3e2cc2591e2951a38614936eadbffaf70a8e35bc77b0a75548e8d8ab711b9dc2

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:233b6c1068f24a6d32fe5f02b39ad78cc45a887a9599ff90b1a86562fbc1a133

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:1b1f5b1815b71a4ac7f2f265692edce5eddefab48c3d465b2b036eb0209b05c0

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:b46dbd8eced057266878d86a3ff987f668be1650a9ca0e1b81d626c02ce69aeb

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

Resolution
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:b0e6ddb616a23ad885cd7fc86d0086f021d0241e2fd31afb6cf8aa0c337e67d0

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

Resolution
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:a84876dbdcc3285e3570896d34f5c60a51fd6104d9e3dc3b5baa78ab6d2c7b82

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:6ef6592eb5bcd7e3d47cc72e3384d6fa6f313f57219d0c4b840e3f0396c13d33

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:cfcc901916b9709005936ebc59c6f9e128f3e3ccfa21e17d06dd5540bc06da8b

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:06993891aadccb7726371914b0a08dac3d6240761e75a6d9e7206efe84ef880b

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
raw_fallback, observed 2026-05-17T19:10:07.788357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:9ab0caf4edd9a5789f9a69d136c5da16bdc3210755cd15770d330235f64e49c3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:d412257025323a2945349515581a5a9dfe60402271bb7815a8089dce1cc1d748

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:2c94b1b42ea71239a7590410a2e7ce6cbe9ce405b971b5470c75615a14e2f5a1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:0c4ac7af2043ea20b645f635b00e97492d741802ecbe3c716939370f1ae3c9ce

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:2cb5732a8eed78684d5b2c2ab10bbb4c5ecbee3a63515ba5c7bf3cfc43787b81

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:ba9c152ff63d79926ea62a0a8bec2e2ebb3e38ebaa6d1249ab0584b8d9472a4c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:c9b56b80357a22c6fa4f9cc2670e661a900a2f90c1efddc3507c8988377bce8d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:11.969233Z digest=sha256:d0fc93726cb663b6488f54f497780ff633b48f3eb6b3b8ce5da431894a11625c

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.

source=pdf_text observed=2026-07-31T02:02:23.528948Z digest=sha256:386604e7dc8321c45acafa0fb92271392805b5cbf26f73ebb7c815929007345b