{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6HIVDVDEXGGRIBCZD4XA7RPTJS","short_pith_number":"pith:6HIVDVDE","canonical_record":{"source":{"id":"2506.00233","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:10:47Z","cross_cats_sorted":[],"title_canon_sha256":"ae6cac762b1f80b199f54150c166103ca98900856232482afb49d1ad2a055634","abstract_canon_sha256":"a235fd54c809471a8a0449f3eff20df252af9f30cfaafc82a38f2a5016c54877"},"schema_version":"1.0"},"canonical_sha256":"f1d151d464b98d1404591f2e0fc5f34c9d2f7e994c75cb0bf02e0ec9e0ab9421","source":{"kind":"arxiv","id":"2506.00233","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00233","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00233v1","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00233","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_12","alias_value":"6HIVDVDEXGGR","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_16","alias_value":"6HIVDVDEXGGRIBCZ","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_8","alias_value":"6HIVDVDE","created_at":"2026-07-05T11:13:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6HIVDVDEXGGRIBCZD4XA7RPTJS","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00233","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:10:47Z","cross_cats_sorted":[],"title_canon_sha256":"ae6cac762b1f80b199f54150c166103ca98900856232482afb49d1ad2a055634","abstract_canon_sha256":"a235fd54c809471a8a0449f3eff20df252af9f30cfaafc82a38f2a5016c54877"},"schema_version":"1.0"},"canonical_sha256":"f1d151d464b98d1404591f2e0fc5f34c9d2f7e994c75cb0bf02e0ec9e0ab9421","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:31.333572Z","signature_b64":"ev6IeGg08Le4xsnVMyiRiSKijhJabQTGGRQ6w0ivaYViYldTo0xHyem9TgXwWceE4JgNSRgbgX31EiMRswWfDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1d151d464b98d1404591f2e0fc5f34c9d2f7e994c75cb0bf02e0ec9e0ab9421","last_reissued_at":"2026-07-05T11:13:31.333117Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:31.333117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00233","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":"2026-07-05T11:13:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zXsYdMU737KUSubRz9ik81ig5kxfbEboYF8YGkUyKVhB9Fy903WsM/w41CPPeIa0Ctq49zgwGT28WMdFT2zZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:00:09.686565Z"},"content_sha256":"a05474120c742e618a9efc48f04c9ce76cb4114e66fbd1b47477411cf5c1d205","schema_version":"1.0","event_id":"sha256:a05474120c742e618a9efc48f04c9ce76cb4114e66fbd1b47477411cf5c1d205"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6HIVDVDEXGGRIBCZD4XA7RPTJS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ethical AI: Towards Defining a Collective Evaluation Framework","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel","submitted_at":"2025-05-30T21:10:47Z","abstract_excerpt":"Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Issues like opaque decision-making, misleading outputs, and unfair treatment in high-stakes domains underscore the need for transparent and accountable AI systems. This article addresses these challenges by proposing a modular ethical assessment framework built on ontological blocks of meaning-discrete, interpretable units that encode ethic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00233","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/2506.00233/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":"2026-07-05T11:13:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5UaoNKtdmEvZOQZAQTqEqFyK6j7sW6ATVi7wDWdFORi/HNBbqzr1iXpRDe7qKbpME7iNL76TX0slvXUGiaIfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:00:09.687054Z"},"content_sha256":"04b802afed210d3dbc8666d4d0a9c6a1bdf7fc0093e3df82acb21c469e9c7c8f","schema_version":"1.0","event_id":"sha256:04b802afed210d3dbc8666d4d0a9c6a1bdf7fc0093e3df82acb21c469e9c7c8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/bundle.json","state_url":"https://pith.science/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/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":"2026-08-08T05:00:09Z","links":{"resolver":"https://pith.science/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS","bundle":"https://pith.science/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/bundle.json","state":"https://pith.science/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6HIVDVDEXGGRIBCZD4XA7RPTJS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6HIVDVDEXGGRIBCZD4XA7RPTJS","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":"a235fd54c809471a8a0449f3eff20df252af9f30cfaafc82a38f2a5016c54877","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:10:47Z","title_canon_sha256":"ae6cac762b1f80b199f54150c166103ca98900856232482afb49d1ad2a055634"},"schema_version":"1.0","source":{"id":"2506.00233","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00233","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00233v1","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00233","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_12","alias_value":"6HIVDVDEXGGR","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_16","alias_value":"6HIVDVDEXGGRIBCZ","created_at":"2026-07-05T11:13:31Z"},{"alias_kind":"pith_short_8","alias_value":"6HIVDVDE","created_at":"2026-07-05T11:13:31Z"}],"graph_snapshots":[{"event_id":"sha256:04b802afed210d3dbc8666d4d0a9c6a1bdf7fc0093e3df82acb21c469e9c7c8f","target":"graph","created_at":"2026-07-05T11:13:31Z","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/2506.00233/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Issues like opaque decision-making, misleading outputs, and unfair treatment in high-stakes domains underscore the need for transparent and accountable AI systems. This article addresses these challenges by proposing a modular ethical assessment framework built on ontological blocks of meaning-discrete, interpretable units that encode ethic","authors_text":"Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:10:47Z","title":"Ethical AI: Towards Defining a Collective Evaluation Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00233","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:a05474120c742e618a9efc48f04c9ce76cb4114e66fbd1b47477411cf5c1d205","target":"record","created_at":"2026-07-05T11:13:31Z","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":"a235fd54c809471a8a0449f3eff20df252af9f30cfaafc82a38f2a5016c54877","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T21:10:47Z","title_canon_sha256":"ae6cac762b1f80b199f54150c166103ca98900856232482afb49d1ad2a055634"},"schema_version":"1.0","source":{"id":"2506.00233","kind":"arxiv","version":1}},"canonical_sha256":"f1d151d464b98d1404591f2e0fc5f34c9d2f7e994c75cb0bf02e0ec9e0ab9421","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1d151d464b98d1404591f2e0fc5f34c9d2f7e994c75cb0bf02e0ec9e0ab9421","first_computed_at":"2026-07-05T11:13:31.333117Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:31.333117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ev6IeGg08Le4xsnVMyiRiSKijhJabQTGGRQ6w0ivaYViYldTo0xHyem9TgXwWceE4JgNSRgbgX31EiMRswWfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:31.333572Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00233","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a05474120c742e618a9efc48f04c9ce76cb4114e66fbd1b47477411cf5c1d205","sha256:04b802afed210d3dbc8666d4d0a9c6a1bdf7fc0093e3df82acb21c469e9c7c8f"],"state_sha256":"7bfd7631657eb6010707c2d0989a1533857327d730e96acafc1c2c7425b584af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i/jIfh9woFUqqgd53eMxCFc8t/IjcWiKgFBPoDwbHOtB/a5IHLBeLRzshyTAqO7MqZIqnjaNVEsJomRtAomdCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T05:00:09.691710Z","bundle_sha256":"b06c4069dc65fc20846602fcb5673cf37f600191e71b729ff604d73a0e4e8b03"}}