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Paper Citation Record · LEDGER

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

As of 23 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 6 inbound Pith citation observations for arXiv:2505.12490.

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

pith.paper-citation-record.v1
2505.12490 v3

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:56.083109Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:42:29.461467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.568442Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact3
  • verified fuzzy48
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee571820-3233-40a5-8706-28dacabbad5b · outbound

This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.767099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.767099Z digest=sha256:381f2fed0a0d76ed5b38246b4362b22d50990b55fcea2e892cf900e4a402fbd2

Observation 6a53e9be-c935-4c9a-8521-17bbc58374e0 · outbound

This paper cites Announcing the agent2agent protocol (a2a),.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Announcing the agent2agent protocol (a2a),

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.400142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.772723Z digest=sha256:41cb48345ebad14594d384e43476ce9d2066df5087b1d2398d68c5a04902a8f5

Observation 2a178086-ec71-4123-99e8-a17bead09aa1 · outbound

This paper cites Introducing the model context protocol,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Introducing the model context protocol,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.369541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.782876Z digest=sha256:b0b3600bba9a49f10dbd94e2643781041f5581c0b543e9ecead82c7f00606f4f

Observation 0d9c7592-5d96-4621-935b-ad9fe8fe059d · outbound

This paper cites Building A Secure Agentic AI Application Leveraging A2A Protocol.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Building A Secure Agentic AI Application Leveraging A2A Protocol

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.787646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.787646Z digest=sha256:f9d81dce4d4497eb8f893910d394df5a77cb0a5f07d8e4fdddc0a86178d444fe

Observation 86b22b87-c99b-4312-b2d6-8b813402a6a5 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.792752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.792752Z digest=sha256:ac2ba2b1c986c9f6f368eb47ed033a62332ea102a406afb45011d1dded61ea0f

Observation c42ce7f3-c60a-4478-a34c-e32753bb9a36 · outbound

This paper cites Deep dive: Mcp and a2a attack vectors for ai agents,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Deep dive: Mcp and a2a attack vectors for ai agents,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.353955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.798124Z digest=sha256:db693d72b061b2540e2864dc910294403caa1aa26373db2442e02a165c1ed594

Observation b4e40b6f-34e9-4752-8315-375fde0e1436 · outbound

This paper cites Ai agents under threat: A survey of key security challenges and future pathways,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Ai agents under threat: A survey of key security challenges and future pathways,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.337991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.802662Z digest=sha256:7022b075c976f47b956755f785204906f203bffb01860dd1562cbbd1428eaf58

Observation 44ca7222-3a33-4cf8-bc91-3440233f176e · outbound

This paper cites Ai agents meet blockchain: A survey on secure and scalable collaboration for multi-agents,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Ai agents meet blockchain: A survey on secure and scalable collaboration for multi-agents,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.807723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.807723Z digest=sha256:dd687af160daac478dd811709bb57fd66a0c4e34a071621b08f8a3d1c549d3de

Observation 47406299-6016-40e5-a568-3ca413b00045 · outbound

This paper cites A survey on model context protocol: Architecture, state-of- the-art, challenges and future directions,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A survey on model context protocol: Architecture, state-of- the-art, challenges and future directions,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.812348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.812348Z digest=sha256:2aef55035cb94ea7d64ebc62dfae58cf00e03974d32a8020b7e6adeec68a7cce

Observation 3fa207cf-c91f-45dd-b410-754897932859 · outbound

This paper cites Enterprise-grade security for the model context protocol (mcp): Frameworks and mitigation strategies,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Enterprise-grade security for the model context protocol (mcp): Frameworks and mitigation strategies,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.302829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.816817Z digest=sha256:ed3c285409c35e9db2ff179aeee2b89928201f03d835fc31409a635e8a884008

Observation 7a1c5893-f906-4a08-82a6-d41c16c6963e · outbound

This paper cites The OAuth 2.0 Authorization Framework,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems The OAuth 2.0 Authorization Framework,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.286935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.821732Z digest=sha256:7d65aa1a15a3fa5e96dd0d0967ae70ad09cf6a24f3fd2880ef6f56f94b109594

Observation 25d7fc52-4811-40c8-ac8b-93ae2752be66 · outbound

This paper cites JSON Web Token (JWT),.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems JSON Web Token (JWT),

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.255403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.831081Z digest=sha256:645dfadb25014ecbdfde34a8a905ec88008012101668006e759b0e14681c412d

Observation 13609d55-bcc2-4bdf-92fd-b546ab133422 · outbound

This paper cites Multi-agent security tax: Trading off security and collaboration capabilities in multi-agent systems,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Multi-agent security tax: Trading off security and collaboration capabilities in multi-agent systems,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.240731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.835682Z digest=sha256:7dc221f81c96fd45903f0662d5e3c15be1413e3f018b8982a2281cfac2f04435

Observation 4d5ef43e-c82b-4b0a-813c-cc2b7154c5f8 · outbound

This paper cites MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.840495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.840495Z digest=sha256:70c514d6735f047649b0061187253b3a0d4b42c642c3e796ac67c4fea234ec2e

Observation c5a15960-b9cc-4fdc-9b9b-47d67663c7f3 · outbound

This paper cites A survey of llm-driven ai agent communication: Protocols, security risks, and defense countermeasures,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A survey of llm-driven ai agent communication: Protocols, security risks, and defense countermeasures,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.845491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.845491Z digest=sha256:e1c8cf494092917f0a3526fe380756e26ece4f97a247a5898c5486eb333c8e82

Observation 22b62759-9b6f-4cd6-b8dd-22c76fbffdcc · outbound

This paper cites From prompt injections to protocol exploits: Threats in llm-powered ai agents workflows,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems From prompt injections to protocol exploits: Threats in llm-powered ai agents workflows,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.850097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.850097Z digest=sha256:12388756be07bbb6c7e4a4ff70b62e271126e6cce5ec1c56e7bf7a3712a9c221

Observation 7711cb76-89d2-4a1d-b673-0e7a1e0bccde · outbound

This paper cites Agentic misalignment: How llms could be insider threats,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Agentic misalignment: How llms could be insider threats,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.225620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.854866Z digest=sha256:567ed28a2749ca436627816cc37600b43e81e27639858604f464ad42c4129e8d

Observation 76db316e-d3f1-48ed-9cb4-b6236b30a44f · outbound

This paper cites Ai coding tool wipes production database, fabricates 4,000 users, and lies to cover its tracks,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Ai coding tool wipes production database, fabricates 4,000 users, and lies to cover its tracks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.195264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.865128Z digest=sha256:9b139729619a83a1f59efe1a073e3825ff52dc83084dd44e88c4e3e2bec67cd1

Observation b204e2a0-5376-44f9-ad51-9dc11b6dbd12 · outbound

This paper cites When llms autonomously attack,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems When llms autonomously attack,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.180247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.869908Z digest=sha256:9c6d4f54304c3fd01499767f056634778022d43dc59f4709419c8c7f5e33fb95

Observation 6cdbe510-e810-4031-a2b8-a8b3dbaac13f · outbound

This paper cites Available: https://www.anthropic.com/research/agentic- misalignment.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Available: https://www.anthropic.com/research/agentic- misalignment

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.210531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.859958Z digest=sha256:dc68553f3ec623f9cbdd39b10cd8bacff949e6d9eb034463c6d2be27b475af31

Observation 66b27b24-6689-4f0e-a882-c00afbfefbc7 · outbound

This paper cites Scamlexity: When agentic ai browsers clicked, paid, and failed,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Scamlexity: When agentic ai browsers clicked, paid, and failed,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.149530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.878783Z digest=sha256:a999a70778b1d2bd49261916dea94d7778125b8d5717e2cf388c79e5c7f419da

Observation 75291424-e7ce-4f3d-9863-b08ae7c49f4e · outbound

This paper cites Incident Analysis for AI Agents.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Incident Analysis for AI Agents

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.883304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.883304Z digest=sha256:fa98107bb8b9d9b340e767e60512429cbafd1c751f8e94331220cabdd4c61234

Observation c1217b76-0a24-4696-926e-9d98272fd29a · outbound

This paper cites Applestorm: Investigating 13 privacy risks in apple intelligence and siri,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Applestorm: Investigating 13 privacy risks in apple intelligence and siri,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.164472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.874428Z digest=sha256:6938d3c429d9d8a8fdaf13934f83520b7a0d3fdceb54b12e4609a1cfb0944cd0

Observation e06884a5-a975-47cf-9d56-f0df1ae19fbf · outbound

This paper cites Is your prompt safe? investigating prompt injection attacks against open-source llms,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Is your prompt safe? investigating prompt injection attacks against open-source llms,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.892315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.892315Z digest=sha256:f639e333913d653f7bbeb5eb55550825eb11260f8348811c733fa40bbe00e935

Observation 8fbfceb6-2ac0-40c6-b041-4553dd2a324f · outbound

This paper cites Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.897109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.897109Z digest=sha256:aae6b1749e84668a5989e956feab0a57ee4c03ebdb106a955f4eb4b879eadcbd

Observation 358abcf2-5317-4f9d-b4d8-798f8c655c35 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Prompt Injection attack against LLM-integrated Applications

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.888164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.888164Z digest=sha256:1974e4b0fc34479eb0e28b6b40dd75edd576030a9b87c7dd97328828f0af7ebf

Observation e5148eb4-9d6b-4125-9391-9aa3e75a80c8 · outbound

This paper cites Cve-2025-1198: Gitlab personal access token revocation bypass via ac- tioncable,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2025-1198: Gitlab personal access token revocation bypass via ac- tioncable,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.118698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.906196Z digest=sha256:5736fce9cf8de6e4ec79cdf94d3cab89b1748ff041b8362928d036815bcc7559

Observation f2794214-7933-4b2d-bf88-05b8769ef1c6 · outbound

This paper cites Cve-2025-1801: Jwt exposure via race condition in ansible gateway,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2025-1801: Jwt exposure via race condition in ansible gateway,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.103563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.910648Z digest=sha256:7b46d1532a5ff63f023c6d2dfd037783ab4d24a7ecccbed65bf4314806ad8555

Observation 2a5a0581-08c6-4bc1-b181-698cab7eaf54 · outbound

This paper cites Agnet: A novel ai agent network architec- ture,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Agnet: A novel ai agent network architec- ture,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.134027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.901843Z digest=sha256:dcdf3c8de0000a902ecc3c98d53e6f46f49daf9247fe322d3ab487a395349393

Observation a3b85a8e-615d-49d1-a48a-c3f89b7bd024 · outbound

This paper cites Hybrid privacy-preserving access control mechanism using blockchain and attribute-based access control for smart home,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Hybrid privacy-preserving access control mechanism using blockchain and attribute-based access control for smart home,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.073259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.920078Z digest=sha256:f8572d3f0b31465085a1a6a251f77b7b85cd75d1e65ef2a83277b4b1095b4b78

Observation dc1de91a-99f4-4410-a884-06a4ad494e29 · outbound

This paper cites Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.924297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.924297Z digest=sha256:40ecca5a2b91100435374f4da5dadb76d9f502e67a6959283f90eb0933be7272

Observation b7208411-c4c3-4164-a9f7-d0b4b1763a6e · outbound

This paper cites Actions speak louder than passwords: Dynamic identity for machine-to-machine communication,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Actions speak louder than passwords: Dynamic identity for machine-to-machine communication,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.088698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.915689Z digest=sha256:6858ce58741102cfe3b8fd9001cadf2b4f892c9a48af4444e274ba1e919a7da0

Observation 118b2384-3c88-4f69-9cfc-5b09fd3fc257 · outbound

This paper cites Identity theft: a small step towards big financial crimes,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Identity theft: a small step towards big financial crimes,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.058199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.934086Z digest=sha256:acd91551c70be3c6f6b481053e0510f4d4958df6a0ab19af95946098e44b1dea

Observation 7617c0b5-5477-4ca1-92c7-4313e95f40d1 · outbound

This paper cites Multifactor authentication could have prevented 9.7 million record medibank data breach,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Multifactor authentication could have prevented 9.7 million record medibank data breach,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.042292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.938748Z digest=sha256:ea1495f39958667d4cccaebce001569b991a805aa82711e5a4db2cf76971235a

Observation c3ed85ef-f617-4430-9393-3ceab4ff1f58 · outbound

This paper cites From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:35:56.324493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.928902Z digest=sha256:3be4012b44810c1cc6ee21380d1a3733a359873c833a1ca9bc934a40e94cf7e6

Observation a8660990-5b59-4d21-b1b3-b3dbfd3ae33f · outbound

This paper cites A trustworthy and untraceable centralised payment protocol for mobile payment,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A trustworthy and untraceable centralised payment protocol for mobile payment,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.011704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.947807Z digest=sha256:71cb58b25914640a381ae3ca60b1a07d51d7c1cbecf156e8314d816647df1f42

Observation c11bffba-4eb5-47c6-a3b4-ac1206325662 · outbound

This paper cites Bauth-zkp—a blockchain-based multi-factor authentication mechanism for securing smart cities,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Bauth-zkp—a blockchain-based multi-factor authentication mechanism for securing smart cities,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.996325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.953081Z digest=sha256:ce94e80d5e39f55e8e96c574cfba3a1d8158fa132858ad2fc5c8e854f2a17857

Observation 6544dc0c-234a-4c07-9d81-4a8a3602a42c · outbound

This paper cites Cwe-306: Missing authentication for critical function,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cwe-306: Missing authentication for critical function,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.027128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.943280Z digest=sha256:3328ca5bb30e959b43ec663097080b3104ca0c8ef883637034ddedd2777584fe

Observation 4e6d14c5-6f36-44c5-8107-5f422eac6da0 · outbound

This paper cites A systematic study of the consistency of two-factor authentication user journeys on top-ranked websites,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A systematic study of the consistency of two-factor authentication user journeys on top-ranked websites,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.966843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.962959Z digest=sha256:d5768f180138247c487d59835aa1068bffc0132b12be0ecc82fcc75c4dd9af38

Observation 5e454bad-29cf-4e5f-9988-9d167852ce70 · outbound

This paper cites Cve-2023-4456: Lokistack token cache scope vulnerability,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2023-4456: Lokistack token cache scope vulnerability,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.951823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.967663Z digest=sha256:f500590661f98c87742fb58a78d1bb7b911911f4176f12dae30f0dec3f44077d

Observation 31edb8d8-7335-4649-a9e1-a601de42c084 · outbound

This paper cites Robust biometric scheme against replay attacks using one-time biometric templates,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Robust biometric scheme against replay attacks using one-time biometric templates,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.981928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.958127Z digest=sha256:805476658641eac8795b047cfcbbaf38e5caaef37524f0963517ada591dfb5fd

Observation 5d0d0d6c-c20e-4bae-962b-31244ffd9c4d · outbound

This paper cites Stateful least privilege authorization for the cloud,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Stateful least privilege authorization for the cloud,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.921874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.976846Z digest=sha256:69f7a2ba4581f8aec2e57c4a63b59468a22dc83d98f0ce97b1e6d3e5ef027612

Observation 8a583d0d-c67e-4ecd-84af-14db37789a21 · outbound

This paper cites Authenticated Delegation and Authorized AI Agents.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Authenticated Delegation and Authorized AI Agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:55.981252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:55.981252Z digest=sha256:9270572b67eaeee17788ed4fa1abe4efbe9f7fa184f83827c8eacaafdf2dde0e

Observation e9cdcde2-e1d0-41fd-951a-fea285775c18 · outbound

This paper cites Cwe-1220: Insufficient granularity of access control,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cwe-1220: Insufficient granularity of access control,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.937019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.972363Z digest=sha256:9f30c65e1228035d99bac7e8847d76c54f53981df9aa0e09775dc6967f156b2c

Observation c852273a-f27b-482c-9b46-809b05e1f613 · outbound

This paper cites A zero trust single sign-on framework with attribute-based access control,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A zero trust single sign-on framework with attribute-based access control,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.891968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.990671Z digest=sha256:ed8f4a5a1dc5ab3017a52b43f320df4194fbe44996b618410463ab7b65fc94da

Observation fd1c8ac7-59fc-4d78-abd2-01e428e0ac92 · outbound

This paper cites Cve-2024-44131: Tcc bypass vulnerability in macos/ios fileprovider,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2024-44131: Tcc bypass vulnerability in macos/ios fileprovider,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.876484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.995097Z digest=sha256:a6ee435b110609fed515942c26fb14a11ea4bfd600f1eda2a8b0c117619d24e2

Observation efc4ec00-2057-40a5-a24d-b3c96874af5b · outbound

This paper cites Everybody’s looking for ssomething: A large-scale evaluation on the privacy of oauth authenti- cation on the web,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Everybody’s looking for ssomething: A large-scale evaluation on the privacy of oauth authenti- cation on the web,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.907104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.985958Z digest=sha256:2377db007accf3c89a91d167c902a885cf51944349e8d5df7fd9773ffd565df3

Observation 2a9912b2-8f55-4f3d-9ad4-12d351214ed2 · outbound

This paper cites A smart contract- based dynamic consent management system for personal data usage under gdpr,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A smart contract- based dynamic consent management system for personal data usage under gdpr,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.844394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.004269Z digest=sha256:c836bff10577974ecdb4e97c2a2b77e5752ec4f737224c127eff69d4d7d886e1

Observation 12d2e6eb-1c11-41d1-a514-5fbaa1cca798 · outbound

This paper cites an unresolved cited work.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:35:56.829097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.009057Z digest=sha256:eecc0e5cee322194c2984fc4b73acbb83569d4acd25265d3cfc050f98c51c49f

Observation ff29bbb4-2933-4d3c-9345-22fda8803136 · outbound

This paper cites Cwe-200: Exposure of sensitive information to an unauthorized actor,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cwe-200: Exposure of sensitive information to an unauthorized actor,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.860694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.999815Z digest=sha256:3bb81e357953ab197e4c148fa3e363fdb5ea81c5437812dc78caa681ecba04f6

Observation 5f7220a8-2a1e-4c38-abfb-ca7d3f316b48 · outbound

This paper cites Privacy for iot: informed consent management in smart buildings,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Privacy for iot: informed consent management in smart buildings,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.799310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.018387Z digest=sha256:c220156241a02bec2f4bf635d6557eb380bca7fae2fcafe728ab123461f63c66

Observation 0e0b10b1-1eea-43bb-87ac-ab1b9629167d · outbound

This paper cites Cve-2023-41745: Excessive system data collection in acronis agent,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2023-41745: Excessive system data collection in acronis agent,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.784037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.022837Z digest=sha256:099c0ced79809c7d936599c824a65c65f5c38747844762b6493f951c74e2bcb2

Observation b54e80af-711f-48aa-b4f0-16fd2fb00026 · outbound

This paper cites Safeguard privacy for mini- mal data collection with trustworthy autonomous agents,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Safeguard privacy for mini- mal data collection with trustworthy autonomous agents,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.814243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.013741Z digest=sha256:34970c08c20bf5eaccba31f908fd43818e579b4ac85dc95e12ace16402870c3e

Observation 49769df0-2a32-49ac-9937-3b9ccbfbdf86 · outbound

This paper cites Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:56.031978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:56.031978Z digest=sha256:f87f97867338f22f9725c4786f90f993d0c4fec99b389bde00ff2c407737e3fe

Observation 23b3ed0a-6897-40d7-912e-2fb60c55b21e · outbound

This paper cites Cve-2024-7042: Langchain prompt injection in graphcypherqachain,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2024-7042: Langchain prompt injection in graphcypherqachain,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.753209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.036774Z digest=sha256:e3d0bd7c6f7d0ecd38dccd60c68fe37236f61a121891b809637d34f7520fcfff

Observation 44ecd683-10d1-4e49-9278-5abf91dddbd7 · outbound

This paper cites Cve-2022-45449: Over-privileged access control in acronis cyber pro- tect,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2022-45449: Over-privileged access control in acronis cyber pro- tect,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.768705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.027401Z digest=sha256:59da84fa80c422ed0a1950b316ed7c4ef9b55714cd8af97471c59b06f1b3022b

Observation 7b8ad4a1-042f-4414-ade3-769a3a6c9cb9 · outbound

This paper cites Mcp security exposed: What you need to know now,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Mcp security exposed: What you need to know now,

Reference 57

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:35:56.273867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.046048Z digest=sha256:f374c5c25d53d2890154af594d14cfe322d804444baa74ee845e7dc229225538

Observation 28b640d1-7375-4336-ade4-72335da68cd1 · outbound

This paper cites Role of authentication factors in fin-tech mobile transaction security,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Role of authentication factors in fin-tech mobile transaction security,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.720495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.050832Z digest=sha256:190a04de5ec38e448b99537a69ba8856132e4e2732f3711ed153d6c8a82297e4

Observation 480208c7-9001-42f3-9e94-82c8220dc64d · outbound

This paper cites Cve-2024-45989: Prompt injection exposing chat data in monica ai,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Cve-2024-45989: Prompt injection exposing chat data in monica ai,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.737393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.041433Z digest=sha256:1e937bba558a92ccbd0f0c77976d30b496f80efa82cbd01be470f0cd2606f1a3

Observation 6ceca851-a131-4486-a738-a4a59a661fdb · outbound

This paper cites Secure internet financial transactions: A framework integrating multi-factor authentication and machine learning,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Secure internet financial transactions: A framework integrating multi-factor authentication and machine learning,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.687726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.059896Z digest=sha256:68d473fb8121a4bec9261090a578678d4998eca7248429741ff224d727a39116

Observation f66a13f6-f8a8-4723-bd85-71e07a3792d0 · outbound

This paper cites A secure and efficient multi- factor authentication algorithm for mobile money applications,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A secure and efficient multi- factor authentication algorithm for mobile money applications,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.671280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.064251Z digest=sha256:2d068a9f0c05a945ba543c52c10e6a3afa39c730e0515286073330528393852b

Observation 1e3a95dd-06ab-471b-9f40-3271418a63b3 · outbound

This paper cites A systematic review of multi-factor authentication in digital payment systems: Nist standards alignment and industry implementation analysis,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems A systematic review of multi-factor authentication in digital payment systems: Nist standards alignment and industry implementation analysis,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.703520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.055269Z digest=sha256:0f91fc98e2b21a20f7aef4fc2678802ff57ce076b460e7dedd2a8ca12d699d8e

Observation 6e64f302-8e08-4e9d-8d5b-42c77da448da · outbound

This paper cites Compliance of AI Systems.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Compliance of AI Systems

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:35:56.142201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.073124Z digest=sha256:3c176cb9a45628e0e381a820b8a3ffecc4b2325a65774fd3dddba69e83e3087b

Observation 2c77f071-049d-4348-86b4-94f8061411dc · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Ignore Previous Prompt: Attack Techniques For Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:56.078017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:56.078017Z digest=sha256:01501b97578de695d77f22ee476f7a7e4b2c58fa4d2e2dd9b9024341185c6d55

Observation 3b46f8d8-b293-4f42-a71f-2e1df7d7f4a5 · outbound

This paper cites Leveraging artificial intelligence for enhancing reg- ulatory compliance in the financial sector,.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Leveraging artificial intelligence for enhancing reg- ulatory compliance in the financial sector,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.654753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.068784Z digest=sha256:105ae3561f46a47a62dc5b98d6a480cec1f041852dbe7f25c4ff2d90739fbb8a

Observation 28ed0269-bf10-41df-9eb0-95296eb28bee · outbound

This paper cites What is a prompt injection attack? [examples & preven- tion],.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems What is a prompt injection attack? [examples & preven- tion],

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:56.638542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:56.083109Z digest=sha256:db2279e8b8775f19293ec513c0be70349a194b3d2336e52625dd54b76c31ac5e

Observation 6a5360ac-eb4b-4653-980c-eb7ba06bec3a · outbound

This paper cites Available: https://www.rfc-editor.org/info/rfc6749.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Available: https://www.rfc-editor.org/info/rfc6749

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.270133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.826307Z digest=sha256:7ae14c848b27b8fa23f7ac8c9c083aa749f6778f7e3e1841fa455f02882a9c17

Observation de03bec2-f71b-41d9-b90a-d806d6d361d4 · outbound

This paper cites Available: https://developers.googleblog.com/en/a2a-a- new-era-of-agent-interoperability/.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Available: https://developers.googleblog.com/en/a2a-a- new-era-of-agent-interoperability/

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:57.384958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T20:35:55.777859Z digest=sha256:c7cbdff5c5c94846b416514c79a91ef9096b9a8c272ccf9a9807de40ab5d7fe2

Pith citing papers

Observation b2f68937-7aa6-470c-8495-26e61bb99e01 · inbound

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP cites this paper.

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:07:20.625042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T05:05:16.370606Z digest=sha256:0ba5af7fb75073a644390ac7c7b61629dd1f696df9bb86b035480c67d2795899

Observation b96460e5-6dd7-45c5-bbca-635d11f8192e · inbound

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security cites this paper.

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:41:00.461653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T01:08:47.097355Z digest=sha256:c8e6d1391e7f78c1f9205ad7b8e0351e96e3b4177dad767193789714409ee133

Observation 6fb4a10e-8f12-4580-8672-3eaedaf9c2f4 · inbound

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security cites this paper.

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:33:48.472128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T22:31:48.507150Z digest=sha256:d5fc01a3fbb4ac338fa66561af490ed9262c6e7cdd4eb8b3c63474ca1490348e

Observation 462c3749-5d03-40a4-af68-8397c6bc46ee · inbound

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks cites this paper.

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:06:26.153668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T01:20:55.221345Z digest=sha256:64583320674ccf6de05391d9881bb0647d41dc6a24f6b0ce901865cc0f0381c7

Observation 540f2ce4-62a9-453d-886c-cbae9ac0f5df · inbound

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries cites this paper.

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:07:13.237486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T04:04:41.439968Z digest=sha256:022b748c6ca0cb7b1d63f0c964c26e89cf045bedc0c94c690339c40e7863034c

Observation c4cfb648-7070-445b-8400-1c3808a6b6c2 · inbound

From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability cites this paper.

From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:07:17.569880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T21:42:29.461467Z digest=sha256:739db5b4f21835b495d088876e15cbe5a5cdb229fb52e0c7f22fa84eb2a64f6c