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Paper Citation Record · LEDGER

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

As of 11 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2604.22136.

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

pith.paper-citation-record.v1
2604.22136 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:50:57.149878Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:24:12.876943Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T21:56:15.841182Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact8
  • verified fuzzy7
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9858db19-7db7-4399-8683-d0e75f4d827c · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.520214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:5cb18154e99756369d42cc979204d1b8ab6da23ad548dd3d802b1eaacccf3dc7

Observation 6dc3dde0-bc3f-456d-b507-ec3011b4e051 · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.529868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:ce4b3e603af63772f54b4495d6ed3406bcc49fe1a5af14c34928fe3cc60bb4d7

Observation 7d820a25-e7d9-491f-af8c-5277d51eec34 · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.523226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:21746cafff4e10a867eb33abc10fd3f51f5f9505a66ed7c20bb1e8d26cc4c922

Observation 4bc62da5-cf81-427e-8e4f-8a9e01d262dc · outbound

This paper cites OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.025501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:cb7742096bb4fe08871b310ec1d430efb1b8353525bf715da08ac79d76c4c6fa

Observation b7ccba0f-526f-4897-8498-91bc4f03c028 · outbound

This paper cites GPT-4 Technical Report.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems GPT-4 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.062222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:b41ab2253c38c38b839fa9d1ac05d405c5e4c9219b2c9d971ee0bbf797773fca

Observation 78078886-a6a3-444d-a456-244bd8a00ce9 · outbound

This paper cites Claude: Constitutional ai and harmlessness.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Claude: Constitutional ai and harmlessness

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.526817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:558d976ea618416a0d628dcf6319ca2fdff98bc87e00b3156bd232c3dc04a5b5

Observation 9092348e-fa1d-4e65-98e1-7443d13f279c · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.076710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:3b5f716f58c2af485c197b2f32d2559437001eee13f6b28a53eb1eddf62a5731

Observation a3eeebd0-698b-4540-8ffe-818f1a0dc975 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.035649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:2437e3d9f7d429774491125d1a95d261de2a3edbe1912e2ee6eceec43d7db85b

Observation b7583c97-9798-4de8-aa98-c3870e02941a · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.517269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:c2f4f9d76b503ec2fe2fe609d619942ca4ce13aa13c1afdb3ff9e307f3806d44

Observation edc1ff00-485c-45ac-a4ae-b7254a44bb35 · outbound

This paper cites The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T19:31:08.043716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:64d4604dddcb4ffab84843d917d1f79b101e6135eed54509faf8d6b57dcf39b6

Observation 5e06fedd-1ee8-4ffd-9d0e-d2dcf309fbaa · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.536995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:52d6969448e0cc699ccf24b40683e16b862bbfd39e19e0393347a8ccbb982800

Observation fb9813e6-2a1e-4919-9bdb-25795b79bac7 · outbound

This paper cites Openai function calling api, 2023.https://platform.openai.com/docs.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Openai function calling api, 2023.https://platform.openai.com/docs

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.533400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:622a16d625aeedecaa17bf5d77cde37493a248489483783d9764cef4018edf71

Observation 85eef423-5782-4fff-b17d-a2fd2258c3df · outbound

This paper cites AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:24:32.777586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:d2b64f4dd78147879249b13bde81ee741f00bb0592ec62d786181efdaf1accb0

Observation 819c1422-7506-4a29-b4e5-0f233f5679b2 · outbound

This paper cites ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:fb7d9daf8988eaddb571c37df3739a77f9424e0d9847cd6a0ea5314e19e40d2f

Observation 4c477479-1cbd-4c60-b093-3863a70edad1 · outbound

This paper cites Uchibeke.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Uchibeke

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:31:08.100946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:eaf63d0d25f8063f8e961b2c05fa3d578f21c7d4c580f32c9fe02ada88200cc4

Observation 9367fe34-eeeb-4bf3-aafe-e7a72591de9d · outbound

This paper cites A brief account of runtime verification.Journal of Logic and Algebraic Programming.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems A brief account of runtime verification.Journal of Logic and Algebraic Programming

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.563622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:3997e4e05f2859a7a1e1116d166a32af8fe05d87741cf2cb7798af2e40ca28b0

Observation 1fb4359d-e9a5-4c9a-b24f-7e1b8a1def57 · outbound

This paper cites Bartocci.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Bartocci

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.540556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:e827b8934c0bcee8c23f7b229000f944fd55feb37e319dcff2de9bce84b1e1c2

Observation 689d0af3-1fbd-46aa-8638-4206e62e4e30 · outbound

This paper cites Towards verifiably safe tool use for llm agents.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Towards verifiably safe tool use for llm agents

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.123475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:263a83227178b1a0aecd9d95da70690ec040e8f42a11720c132c29918030681b

Observation dc170245-7a78-4ac8-9633-763966ba2187 · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.544602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:f724f6b65192004bf34fd2789f9b2673dbb6c7d13d23d55ad34a4a08e9371441

Observation 9842d54e-d4cd-499f-9065-69d945c494de · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.547655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:e1049f089688ba2b77b8ee11275badf8637278a8bf457d0f4de138bce663d069

Observation 96f4e56c-7d47-43db-90e6-a8702d807ab4 · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.550698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:16c1e7d346bf7da4c572fa9060f102169659c7b83df39f3359d960d5ba83b5ed

Observation 1fc54464-fc68-4bdb-a312-3e2f74511b71 · outbound

This paper cites Open policy agent, 2019.https://www.openpolicyagent.org.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Open policy agent, 2019.https://www.openpolicyagent.org

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.560161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:7e79d168f07db521b90efe8401a4c800ff43b784784d52b88698c94096ea4aba

Observation 3a4b9641-a57c-46ca-b025-965c87c22b34 · outbound

This paper cites Cedar policy language, 2023.https://www.cedarpolicy.com.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Cedar policy language, 2023.https://www.cedarpolicy.com

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.567409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:559171a61979f6ed9a5977a57a91a4069024fa4c4dc5608b2216b6c5a1f4bc11

Observation 2a0b69bc-590a-42d7-9775-c6efcbab8568 · outbound

This paper cites Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.128445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:fe36882bd21851f6f591bc5cae32908c5ab7e37a8a998cc1f29aefdf8575f813

Observation aae665dc-2a9c-4466-938d-e8cff2af0ff2 · outbound

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

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Why Do Multi-Agent LLM Systems Fail?

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:42:59.242121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:e78cf60c9f39c9f3366208b4a37cf6fcc0bbd5dcb626532a17301bedb40751aa

Observation ba7c48bc-89d8-4ccf-b866-83785d0cf255 · outbound

This paper cites Tiered agentic oversight: A hierarchical multi-agent system for healthcare safety.arXiv preprint arXiv:2506.12482v2, September 2025.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Tiered agentic oversight: A hierarchical multi-agent system for healthcare safety.arXiv preprint arXiv:2506.12482v2, September 2025

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.093664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:ec960eda52f97a1e7321681d70b1c69ede849a2dd3fb1225c1e1d857b4c379cd

Observation b894dd62-790c-4a7f-ae9c-467e35142f76 · outbound

This paper cites Towards a Science of Scaling Agent Systems.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Towards a Science of Scaling Agent Systems

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:31:08.109658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:c92d7004f8c3e37b9ff908f780bed3db2bc3e5ac0673d1b5bbee94168399b19a

Observation 6ebf6a5f-4089-489c-b85f-0c179d7ad692 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.TCC.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Calibrating noise to sensitivity in private data analysis.TCC

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:57:25.554026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:fd194b839eb8dc603e4a2d3a6930dcc5b1303d2b7d1d391a18ad1c212bddec84

Observation 82143152-6c81-45c6-9187-e46a84fed19f · outbound

This paper cites an unresolved cited work.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-26T13:57:25.557013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:a4c79cb0eaa752a5eab767ac892a987f3d4fa37d1daa1bbd96b9fdbc23e07181

Pith citing papers

Observation 2594ff3a-4d21-4370-8d95-31ceb4a16f79 · inbound

Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems cites this paper.

Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-19T17:32:41.710358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T17:30:08.476165Z digest=sha256:db1dbaebca63227a5d421c6944f6a7319e1b9897cb4035eda1f45b8135df821a

Observation 3d308da8-d67c-4fba-8a5a-f62306979644 · inbound

Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure cites this paper.

Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T21:56:15.842459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T16:01:12.000397Z digest=sha256:e8aa2424fa14e1856bae7c4abc087b44b9bd0581639ae9860723657c8d563440

Observation 52132976-6dc1-4de7-a8d9-21a3470d456e · inbound

The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure cites this paper.

The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T21:24:12.876943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:24:12.876943Z digest=sha256:944dd3d169f6fefd8fb57942984815356736dfba9ec50a55feab1785fd39df19