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Paper Citation Record · LEDGER

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 7 inbound Pith citation observations for arXiv:2506.07564.

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

pith.paper-citation-record.v1
2506.07564 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:36:34.199007Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:56:38.109741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.375467Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02e4b38f-6e83-40d0-80f9-8b7a875f75a6 · outbound

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

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:34.083647Z digest=sha256:40c8c24666904eec6fa0e5a41bb1f00601a4457ab5d3a6ed5935330edce588f1

Observation 867840f8-c500-49dd-b04d-49a72c2b71d4 · outbound

This paper cites Langchain – building applications with llms.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Langchain – building applications with llms

Reference 2

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raw_fallback, observed 2026-08-07T05:36:34.903769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.089163Z digest=sha256:da555fb4aaddd4d090c585b3aee89999facb1dee5642741ccceedf1c17f8fca1

Observation a6d4c4c7-22ca-4e4f-869c-cb37d3e2535e · outbound

This paper cites Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 4

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source=arxiv_source observed=2026-08-07T05:36:34.098762Z digest=sha256:c72274ea07b0a945b6e268fa1ab07cbae7913f184427c173cd965a76b5b5d43b

Observation 1fc3f983-13cc-4795-8e5a-ddd4f7ba557f · outbound

This paper cites an unresolved cited work.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-07T05:36:34.102956Z digest=sha256:13aef4fa96aa95bd737cfa949d7c213bd4856db7b6f67e98db668976daf566dc

Observation 580d78ba-5d7d-4274-893f-bf5869c5899b · outbound

This paper cites Hacking auto-gpt and escaping its docker container.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Hacking auto-gpt and escaping its docker container

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:34.889641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.107667Z digest=sha256:c41415de354e94e345d3ff0086241f3ac56799f1894406ba1e587244fc892a71

Observation f1403ac6-258d-4f8d-a109-3e0b5bcdbe2c · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:36:34.112634Z digest=sha256:d6c365dfb56d41e5cbd4f34926a09baf470d4ff47a1ae6ded2495290951bab77

Observation dca09ba2-4916-402f-8b24-c890973affff · outbound

This paper cites ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

Reference 8

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source=arxiv_source observed=2026-08-07T05:36:34.117425Z digest=sha256:33005aa1e94d9ef41a68964d81815129a04c247a7bf5051e79e67b7942d564e6

Observation 2604efad-cd46-4739-8285-e2d38c17fe1d · outbound

This paper cites AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Reference 9

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source=arxiv_source observed=2026-08-07T05:36:34.121835Z digest=sha256:89df8b0286fa4456a50107b319d2843db70adc1550e4f207e17f4f620ff9127c

Observation 0846099e-9cf3-412a-a190-b6970d5d2703 · outbound

This paper cites Toward the unification of generative and discriminative visual foundation model: A survey.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Toward the unification of generative and discriminative visual foundation model: A survey

Reference 10

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raw_fallback, observed 2026-08-07T05:36:34.874753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.126619Z digest=sha256:d30a148a6c5a074f39b601193568b30bf62dabab0b827675c50f354334e3dce9

Observation e3213c82-0bb8-458a-b9de-f90621fd591a · outbound

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

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 11

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source=arxiv_source observed=2026-08-07T05:36:34.130937Z digest=sha256:2556bc3704f17351cafee4d2a2b62dc69e52ca99fca288dc02220cd7187bd0da

Observation bdb8a6f5-3751-46f6-9655-2dd0297a3825 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 12

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source=arxiv_source observed=2026-08-07T05:36:34.135801Z digest=sha256:687c9b4b4dd559e7b37677d28b0bcdf0beed4fdbe9e55d594244ceed3fafcb54

Observation 512184cf-1507-4049-890f-a2bee3347c39 · outbound

This paper cites Permissive information-flow analysis for large language models, 2024.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Permissive information-flow analysis for large language models, 2024

Reference 13

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no resolver link, observed 2026-08-07T05:36:34.140246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:34.140246Z digest=sha256:47000cc654775205c1a649a8f0fe292a8415898add4856423468aa5a8c507f87

Observation acbdac69-1fc8-4525-b5c1-4d8b028ef217 · outbound

This paper cites Eqdrive: Efficient equivariant motion forecasting with multi-modality for autonomous driving.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Eqdrive: Efficient equivariant motion forecasting with multi-modality for autonomous driving

Reference 14

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raw_fallback, observed 2026-08-07T05:36:34.859325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.144554Z digest=sha256:e4e884c80fff85c63b48ed8f445cfcaf8fdcde9b0daa27945327e99bcd03d224

Observation b9fb2683-9f90-4b50-a10c-3e9be962363b · outbound

This paper cites Equivariant map and agent geometry for autonomous driving motion prediction.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Equivariant map and agent geometry for autonomous driving motion prediction

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:34.839166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.148718Z digest=sha256:aaa90abecfed6ea614ff434ba6cbab7b9d921be334ae1098f8c5c680e941b7a9

Observation 5bb1352a-c668-4354-8779-00586cbb3ef6 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems OpenVLA: An Open-Source Vision-Language-Action Model

Reference 16

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no resolver link, observed 2026-08-07T05:36:34.152856Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:34.152856Z digest=sha256:842ca5fa73c88b0abb1842872b881b737f1917550b200d5f8516b6d753cf985d

Observation 23c7da1f-00ef-428d-8bf9-2fd2c5649d30 · outbound

This paper cites Cmp: Cooperative motion prediction with multi-agent communication.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Cmp: Cooperative motion prediction with multi-agent communication

Reference 17

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raw_fallback, observed 2026-08-07T05:36:34.823325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.157268Z digest=sha256:a0b8b214a2f660cf411780f0370cda68efc97f3218f8b51069e9b19a3b70d85c

Observation ae5ad172-0a59-4604-b2fd-f62ea0cd1d83 · outbound

This paper cites Dissecting Adversarial Robustness of Multimodal LM Agents.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 18

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source=arxiv_source observed=2026-08-07T05:36:34.161342Z digest=sha256:c882e32a0c0fc04e564012ba862d65d659751f71fe04075043faa8764b337611

Observation 36414a03-35c5-4a86-a167-64044d85995c · outbound

This paper cites A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 19

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source=arxiv_source observed=2026-08-07T05:36:34.165591Z digest=sha256:c5b837191a1c80b02245f10567a67d4af944ae88097f481623b7dd0a8f01a29d

Observation c613a0f6-f325-42f6-b2e5-3267395f76f9 · outbound

This paper cites Autotrust: Benchmarking trustworthiness in large vision-language models for autonomous driving.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Autotrust: Benchmarking trustworthiness in large vision-language models for autonomous driving

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:34.170319Z digest=sha256:75cb1adceae494f08acdf1d16a6f0bad641c93b3c1de40a14e01a4dfe347e15e

Observation df1932c0-11f8-487a-91e9-96b516bf6850 · outbound

This paper cites Openemma: Open-source multimodal model for end-to-end autonomous driving.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Openemma: Open-source multimodal model for end-to-end autonomous driving

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:34.808635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.174364Z digest=sha256:73b6b05d4f371057efec2f3731f4694dd6bf757e65cc5587d485f27c30839b5d

Observation 862f3ffc-dbb3-453e-91c2-3a5559d9bc60 · outbound

This paper cites Can Large Vision Language Models Read Maps Like a Human?.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Can Large Vision Language Models Read Maps Like a Human?

Reference 22

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no resolver link, observed 2026-08-07T05:36:34.178330Z

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source=arxiv_source observed=2026-08-07T05:36:34.178330Z digest=sha256:18db19ad282960905e78fe11e954fb0b8dd3997f5d0966209bb2b02f54a2c240

Observation a32f2e2d-85ab-4bfe-8340-176799eb69c4 · outbound

This paper cites Re-align: Aligning vision language models via retrieval-augmented direct preference optimization, 2025 c.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Re-align: Aligning vision language models via retrieval-augmented direct preference optimization, 2025 c

Reference 23

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source=arxiv_source observed=2026-08-07T05:36:34.182886Z digest=sha256:f3c9dccabe990443243d8b253834a600259bc58661e476ed30381cf55a80a75c

Observation f70d8678-77a2-4caf-97d0-8ff2c9e760bf · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 24

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source=arxiv_source observed=2026-08-07T05:36:34.186965Z digest=sha256:2d0358225c29f851d7fc2d22e42310a3720b71b8cbc4553b55f02aedf8cc6472

Observation 1d2cd3b8-3355-4381-ad28-fe3d4d98f635 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems React: Synergizing reasoning and acting in language models

Reference 25

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raw_fallback, observed 2026-08-07T05:36:34.794273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.191145Z digest=sha256:b6185c3d8147269187e69abd79d377e54a1b0e39d30d8f864d079f4da1c94fa9

Observation d52fafae-3f17-4fe8-9315-4cc3c097162d · outbound

This paper cites Point set voting for partial point cloud analysis.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Point set voting for partial point cloud analysis

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:34.779590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.194926Z digest=sha256:fb17a8792e6066dcb7fd240b335d1c9837dba2a5001059851abe09e1931bea02

Observation 616184ee-be0a-4240-8922-360e0aeaa69a · outbound

This paper cites Goal2Story: A Multi-Agent Fleet based on Privately Enabled sLLMs for Impacting Mapping on Requirements Elicitation.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems Goal2Story: A Multi-Agent Fleet based on Privately Enabled sLLMs for Impacting Mapping on Requirements Elicitation

Reference 27

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local_arxiv, observed 2026-08-07T05:36:34.242390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:36:34.199007Z digest=sha256:8b48e06981236db2d148b26704b1a8374ae1bc30ee3f6289fc40e3d0d71fb65b

Pith citing papers

Observation bc87b385-4161-41bc-9d2f-772844c2d8a8 · inbound

Demystifying the Visual Quality Paradox in Multimodal Large Language Models cites this paper.

Demystifying the Visual Quality Paradox in Multimodal Large Language Models SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 27

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no resolver link, observed 2026-08-06T23:56:38.109741Z

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source=arxiv_source observed=2026-08-06T23:56:38.109741Z digest=sha256:3d4dda403369538022ed56c7d22dcaf01594299eade77121671f0641c2577ece

Observation 617d7038-2fd2-478c-aa7e-ffcfb5e373da · inbound

Reframing LLM Agent Security as an Agent-Human Interaction Problem cites this paper.

Reframing LLM Agent Security as an Agent-Human Interaction Problem SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 34

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verified exact
arxiv_id, observed 2026-06-30T13:54:43.868238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T13:52:06.272229Z digest=sha256:8b9d53a89a740005aff751342b852921c5a3413b1e7dbfca2356d911dda680e5

Observation 877db28d-6fe4-4be9-8265-2808e46409e0 · inbound

REPOT: Recoverable Program-of-Thought via Checkpoint Repair cites this paper.

REPOT: Recoverable Program-of-Thought via Checkpoint Repair SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 7

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arxiv_id, observed 2026-06-29T06:23:08.688382Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T06:22:46.440678Z digest=sha256:4618200a31c9be9a2381ddb5c615e3cb7d94ff0ac7ed51bcb9a73951c4c93f42

Observation 5fcfe987-81ef-43d8-b75b-bd94beffa51d · inbound

Data Flow Control: Data Safety Policies for AI Agents cites this paper.

Data Flow Control: Data Safety Policies for AI Agents SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 30

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arxiv_id, observed 2026-07-02T15:47:06.376939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T23:28:47.480408Z digest=sha256:198a4995c3657773cf346c6c261b02b2a378fe9118f97b7e73c17601b8f030a0

Observation d6a97c80-1160-4293-bf75-fb59043903b0 · inbound

Data Leakage Prevention in Agentic Applications via Preemptive Hardening cites this paper.

Data Leakage Prevention in Agentic Applications via Preemptive Hardening SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 28

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no resolver link, observed 2026-08-01T14:11:22.450766Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:22.450766Z digest=sha256:f3fa636553536e76ac4083fe6cc4449b7e1f0a8fe8f2c8a3f7f81ddfc3ea1cd9

Observation 23e62210-14b9-483b-b482-b434f548ad62 · inbound

MemTX: Transactional Belief Commit for Stateful Agent Memory cites this paper.

MemTX: Transactional Belief Commit for Stateful Agent Memory SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 10

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no resolver link, observed 2026-07-31T23:36:16.579971Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:36:16.579971Z digest=sha256:042a2aefaf427b626d03cfe21d83e802c8d33ec32029aaa2b7cd4a80229e9ed0

Observation 8c5ba55c-ce98-48bc-8877-1d782033837c · inbound

CAGE: Certified Authorization under Typed-Return Uncertainty for Tool-Using Agents cites this paper.

CAGE: Certified Authorization under Typed-Return Uncertainty for Tool-Using Agents SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Reference 26

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no resolver link, observed 2026-08-03T12:01:14.921424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:01:14.921424Z digest=sha256:4edd4a66ac8d1d11e6cddc8bdce011129849d92e2166156fd1e6b906bab18e7b