{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:73VPCPPDWUY4TEUWS2SG7ABWPC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"839f24332a994dba019f7acd8335cf3defb88b891fcbf937c93a36172a595b37","cross_cats_sorted":["cs.CL","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-17T10:26:37Z","title_canon_sha256":"c06f4e9acf0b152bd1bbdbe55fe6f659b8c0e6a637835b23eb2454207af599ec"},"schema_version":"1.0","source":{"id":"2605.23989","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23989","created_at":"2026-05-26T01:02:39Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23989v1","created_at":"2026-05-26T01:02:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23989","created_at":"2026-05-26T01:02:39Z"},{"alias_kind":"pith_short_12","alias_value":"73VPCPPDWUY4","created_at":"2026-05-26T01:02:39Z"},{"alias_kind":"pith_short_16","alias_value":"73VPCPPDWUY4TEUW","created_at":"2026-05-26T01:02:39Z"},{"alias_kind":"pith_short_8","alias_value":"73VPCPPD","created_at":"2026-05-26T01:02:39Z"}],"graph_snapshots":[{"event_id":"sha256:368ce205bb2dd95919adff75283766bdbd50f70e1f65a6be0b8a129ad5804564","target":"graph","created_at":"2026-05-26T01:02:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.23989/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness. This survey provides a focused examination of trustworthy agentic AI through two core dimensions that are critical for high-risk deployments: Safety and Robustness, and Privacy and System Security. For each dimension, we clarify key concepts, identify where risks emerge along the agent workflow, and summarize stage-targeted mitigation st","authors_text":"Dianzhi Yu, Irwin King, Jiahong Liu, Jinhu Qi, Muzhi Li, Ruoxi Jiang, Shicheng Ma, Wenqian Cui, Yiyang Zhao, Yiyi Chen, Yuqin Shu, Zenglin Xu","cross_cats":["cs.CL","cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-17T10:26:37Z","title":"Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23989","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2a273f38bef073b7806d0733f6cc77056403d06d9d97210ea5f70bb9e2a503c9","target":"record","created_at":"2026-05-26T01:02:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"839f24332a994dba019f7acd8335cf3defb88b891fcbf937c93a36172a595b37","cross_cats_sorted":["cs.CL","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-17T10:26:37Z","title_canon_sha256":"c06f4e9acf0b152bd1bbdbe55fe6f659b8c0e6a637835b23eb2454207af599ec"},"schema_version":"1.0","source":{"id":"2605.23989","kind":"arxiv","version":1}},"canonical_sha256":"feeaf13de3b531c9929696a46f80367892c7855b9b6a4527391233a3ae1be8fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"feeaf13de3b531c9929696a46f80367892c7855b9b6a4527391233a3ae1be8fe","first_computed_at":"2026-05-26T01:02:39.438820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:02:39.438820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ISiX6yqzhQU3xEjyHfqRsriRqQU6ThPW6zsRAnv8SG3RbPMmsdR5VbobIvgoCf4jWDxzCG5IVV8U8MdfkVeyCQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:02:39.439678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23989","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a273f38bef073b7806d0733f6cc77056403d06d9d97210ea5f70bb9e2a503c9","sha256:368ce205bb2dd95919adff75283766bdbd50f70e1f65a6be0b8a129ad5804564"],"state_sha256":"ece66871d3115d29211e8c23de56623acf5aad4307c9abbbfc4bf0e2fba56c13"}