{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SNMOSKGKLKMLNBXFJ5RP2JUD5X","short_pith_number":"pith:SNMOSKGK","canonical_record":{"source":{"id":"2311.18040","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-11-29T19:34:15Z","cross_cats_sorted":[],"title_canon_sha256":"1de0b5816418eff40203b8b78265115d7be40941b60ef3d3a13f8217a356c7db","abstract_canon_sha256":"c72cf507a0b5971fe2463ba61a0cecffd7009482d0f85a78d72def9b6573c227"},"schema_version":"1.0"},"canonical_sha256":"9358e928ca5a98b686e54f62fd2683edda077eca0f79167eb3a83103694dfa6f","source":{"kind":"arxiv","id":"2311.18040","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.18040","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"arxiv_version","alias_value":"2311.18040v1","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.18040","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_12","alias_value":"SNMOSKGKLKML","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_16","alias_value":"SNMOSKGKLKMLNBXF","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_8","alias_value":"SNMOSKGK","created_at":"2026-07-05T07:18:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SNMOSKGKLKMLNBXFJ5RP2JUD5X","target":"record","payload":{"canonical_record":{"source":{"id":"2311.18040","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-11-29T19:34:15Z","cross_cats_sorted":[],"title_canon_sha256":"1de0b5816418eff40203b8b78265115d7be40941b60ef3d3a13f8217a356c7db","abstract_canon_sha256":"c72cf507a0b5971fe2463ba61a0cecffd7009482d0f85a78d72def9b6573c227"},"schema_version":"1.0"},"canonical_sha256":"9358e928ca5a98b686e54f62fd2683edda077eca0f79167eb3a83103694dfa6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:35.905751Z","signature_b64":"EtPzRKWi0oU1LhjpfcdtS3fGI5A9oHYiCEBwJi4/FPp4xDL3oo7k8G0G2UhVo+pgQXtApFzz5kBhGD3s18RwDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9358e928ca5a98b686e54f62fd2683edda077eca0f79167eb3a83103694dfa6f","last_reissued_at":"2026-07-05T07:18:35.905296Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:35.905296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.18040","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6qpZcC5E6vtAji+2xiUIH41SoECATLt/6V+Q7Oco19skk7aK5BBwbcJCQS+Y7yoLDCIU1Q0Dg4jo5fBtcwOFAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:52.473645Z"},"content_sha256":"c04ab0c3e3f74b596d5ed6f0cb059c5a20c95209741f8fc5338aaafad2ce7152","schema_version":"1.0","event_id":"sha256:c04ab0c3e3f74b596d5ed6f0cb059c5a20c95209741f8fc5338aaafad2ce7152"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SNMOSKGKLKMLNBXFJ5RP2JUD5X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Ahmadreza Mosallanezhad, Anna Pan, Erik Blasch, Erin K. Chiou, James Sung, Jieqiong Zhao, Michelle V. Mancenido, Myke C. Cohen, Nayoung Kim, Pouria Salehi, Shawaiz Bhatti, Yang Ba, Yixuan Wang","submitted_at":"2023-11-29T19:34:15Z","abstract_excerpt":"The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, we evaluate whether MAST is associated with people's trust perceptions in AI-enabled decision support systems (AI-DSSs). Evaluating trust in AI-DSSs poses challenges to researchers and practitioners. These challenges include identifying the components, capabilities, and potential of these systems, many of which are based on the complex deep learning algorithms that drive DSS performance and preclude complete manual in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.18040","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.18040/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n53sbVE+ZZeie0TXbUw3s0ouNaLpIaFspaJUpXOc92sheTnB5xoS4RNAtf81YfewrrLqzrwesbeUL5sbHpc0AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:19:52.474008Z"},"content_sha256":"3f1726cd317453829123b15c669a7be01256e277b7a617a54eba75273b7ab611","schema_version":"1.0","event_id":"sha256:3f1726cd317453829123b15c669a7be01256e277b7a617a54eba75273b7ab611"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/bundle.json","state_url":"https://pith.science/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T08:19:52Z","links":{"resolver":"https://pith.science/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X","bundle":"https://pith.science/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/bundle.json","state":"https://pith.science/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SNMOSKGKLKMLNBXFJ5RP2JUD5X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SNMOSKGKLKMLNBXFJ5RP2JUD5X","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":"c72cf507a0b5971fe2463ba61a0cecffd7009482d0f85a78d72def9b6573c227","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-11-29T19:34:15Z","title_canon_sha256":"1de0b5816418eff40203b8b78265115d7be40941b60ef3d3a13f8217a356c7db"},"schema_version":"1.0","source":{"id":"2311.18040","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.18040","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"arxiv_version","alias_value":"2311.18040v1","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.18040","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_12","alias_value":"SNMOSKGKLKML","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_16","alias_value":"SNMOSKGKLKMLNBXF","created_at":"2026-07-05T07:18:35Z"},{"alias_kind":"pith_short_8","alias_value":"SNMOSKGK","created_at":"2026-07-05T07:18:35Z"}],"graph_snapshots":[{"event_id":"sha256:3f1726cd317453829123b15c669a7be01256e277b7a617a54eba75273b7ab611","target":"graph","created_at":"2026-07-05T07:18:35Z","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/2311.18040/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, we evaluate whether MAST is associated with people's trust perceptions in AI-enabled decision support systems (AI-DSSs). Evaluating trust in AI-DSSs poses challenges to researchers and practitioners. These challenges include identifying the components, capabilities, and potential of these systems, many of which are based on the complex deep learning algorithms that drive DSS performance and preclude complete manual in","authors_text":"Ahmadreza Mosallanezhad, Anna Pan, Erik Blasch, Erin K. Chiou, James Sung, Jieqiong Zhao, Michelle V. Mancenido, Myke C. Cohen, Nayoung Kim, Pouria Salehi, Shawaiz Bhatti, Yang Ba, Yixuan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-11-29T19:34:15Z","title":"Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.18040","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:c04ab0c3e3f74b596d5ed6f0cb059c5a20c95209741f8fc5338aaafad2ce7152","target":"record","created_at":"2026-07-05T07:18:35Z","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":"c72cf507a0b5971fe2463ba61a0cecffd7009482d0f85a78d72def9b6573c227","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-11-29T19:34:15Z","title_canon_sha256":"1de0b5816418eff40203b8b78265115d7be40941b60ef3d3a13f8217a356c7db"},"schema_version":"1.0","source":{"id":"2311.18040","kind":"arxiv","version":1}},"canonical_sha256":"9358e928ca5a98b686e54f62fd2683edda077eca0f79167eb3a83103694dfa6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9358e928ca5a98b686e54f62fd2683edda077eca0f79167eb3a83103694dfa6f","first_computed_at":"2026-07-05T07:18:35.905296Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:35.905296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EtPzRKWi0oU1LhjpfcdtS3fGI5A9oHYiCEBwJi4/FPp4xDL3oo7k8G0G2UhVo+pgQXtApFzz5kBhGD3s18RwDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:35.905751Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.18040","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c04ab0c3e3f74b596d5ed6f0cb059c5a20c95209741f8fc5338aaafad2ce7152","sha256:3f1726cd317453829123b15c669a7be01256e277b7a617a54eba75273b7ab611"],"state_sha256":"c172ed1eabab03ad9c32a351fb71ff967bf441bc55838553259cd1468bf1e04b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5d2qyQSKUD3bwoJLMIMTb3jPpcZEk1CtcE2Dz2WYkAeLtgC1DBJ7NuauV2z3w8mYgOD+CsuD323Eo2XeTJCbCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:19:52.476054Z","bundle_sha256":"e75d61e3234e0288a0de58218aae6ef165a8c01d416ce2f0599c035a58cee463"}}