{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:34AWXHY3IYLN2E3MFRYSXKF42U","short_pith_number":"pith:34AWXHY3","canonical_record":{"source":{"id":"2401.09204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-01-17T13:29:47Z","cross_cats_sorted":["cs.NI"],"title_canon_sha256":"335a679f17564e8f61089a465bac5f530995364a68475b0f912da302ed96c32a","abstract_canon_sha256":"0710941577b0ab98818f39cca4f1c75abe59b701d24a4dd6421fb4f2cedca033"},"schema_version":"1.0"},"canonical_sha256":"df016b9f1b4616dd136c2c712ba8bcd535431254e421f6e07613960bffd99c70","source":{"kind":"arxiv","id":"2401.09204","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09204","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09204v1","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09204","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"34AWXHY3IYLN","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_16","alias_value":"34AWXHY3IYLN2E3M","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_8","alias_value":"34AWXHY3","created_at":"2026-07-05T07:34:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:34AWXHY3IYLN2E3MFRYSXKF42U","target":"record","payload":{"canonical_record":{"source":{"id":"2401.09204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-01-17T13:29:47Z","cross_cats_sorted":["cs.NI"],"title_canon_sha256":"335a679f17564e8f61089a465bac5f530995364a68475b0f912da302ed96c32a","abstract_canon_sha256":"0710941577b0ab98818f39cca4f1c75abe59b701d24a4dd6421fb4f2cedca033"},"schema_version":"1.0"},"canonical_sha256":"df016b9f1b4616dd136c2c712ba8bcd535431254e421f6e07613960bffd99c70","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:34:40.827037Z","signature_b64":"Rma88vW+ndql5GP735sGlf4VyOO3rmKXY0AqASw1fTmaG+zZD3mv6VbvY/CONITB4vklf9r4blPqYQqnc44SCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df016b9f1b4616dd136c2c712ba8bcd535431254e421f6e07613960bffd99c70","last_reissued_at":"2026-07-05T07:34:40.826682Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:34:40.826682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.09204","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":"2026-07-05T07:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tq9R56OAWcIo2e8qhzAtYDIkOCb4Y3zKCQr6ydOqCEvKAH3sGnmLj3Na7FUpY9U4FjGlLc45te9cMb78qKFrDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:21:32.041953Z"},"content_sha256":"c88aae63668cff8de9d73f60dc037d9e595e42f710c5edad017b95384c6c833d","schema_version":"1.0","event_id":"sha256:c88aae63668cff8de9d73f60dc037d9e595e42f710c5edad017b95384c6c833d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:34AWXHY3IYLN2E3MFRYSXKF42U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NI"],"primary_cat":"cs.CR","authors_text":"Bruno Missi Xavier, Irene Vil\\`a, Magnos Martinello, Marco Ruffini, Merim Dzaferagic","submitted_at":"2024-01-17T13:29:47Z","abstract_excerpt":"Only the chairs can edit In the fight against cyber attacks, Network Softwarization (NS) is a flexible and adaptable shield, using advanced software to spot malicious activity in regular network traffic. However, the availability of comprehensive datasets for mobile networks, which are fundamental for the development of Machine Learning (ML) solutions for attack detection near their source, is still limited. Cross-Domain Artificial Intelligence (AI) can be the key to address this, although its application in Open Radio Access Network (O-RAN) is still at its infancy. To address these challenges"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09204","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/2401.09204/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":"2026-07-05T07:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BAp/Ipi8x/bpLI3yCsevb1nMiBaw9GClvsjjDNUdR/GXj4XnQwZdn0GfFjOStpwF73SYEZ+vnKtO+oQoz5tWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:21:32.042455Z"},"content_sha256":"90caea53d458b526c176f0fb031c2e5ecf6390bbb99178a7bebda8ab67e61679","schema_version":"1.0","event_id":"sha256:90caea53d458b526c176f0fb031c2e5ecf6390bbb99178a7bebda8ab67e61679"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/34AWXHY3IYLN2E3MFRYSXKF42U/bundle.json","state_url":"https://pith.science/pith/34AWXHY3IYLN2E3MFRYSXKF42U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/34AWXHY3IYLN2E3MFRYSXKF42U/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":"2026-08-16T00:21:32Z","links":{"resolver":"https://pith.science/pith/34AWXHY3IYLN2E3MFRYSXKF42U","bundle":"https://pith.science/pith/34AWXHY3IYLN2E3MFRYSXKF42U/bundle.json","state":"https://pith.science/pith/34AWXHY3IYLN2E3MFRYSXKF42U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/34AWXHY3IYLN2E3MFRYSXKF42U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:34AWXHY3IYLN2E3MFRYSXKF42U","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":"0710941577b0ab98818f39cca4f1c75abe59b701d24a4dd6421fb4f2cedca033","cross_cats_sorted":["cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-01-17T13:29:47Z","title_canon_sha256":"335a679f17564e8f61089a465bac5f530995364a68475b0f912da302ed96c32a"},"schema_version":"1.0","source":{"id":"2401.09204","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09204","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09204v1","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09204","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"34AWXHY3IYLN","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_16","alias_value":"34AWXHY3IYLN2E3M","created_at":"2026-07-05T07:34:40Z"},{"alias_kind":"pith_short_8","alias_value":"34AWXHY3","created_at":"2026-07-05T07:34:40Z"}],"graph_snapshots":[{"event_id":"sha256:90caea53d458b526c176f0fb031c2e5ecf6390bbb99178a7bebda8ab67e61679","target":"graph","created_at":"2026-07-05T07:34:40Z","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/2401.09204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Only the chairs can edit In the fight against cyber attacks, Network Softwarization (NS) is a flexible and adaptable shield, using advanced software to spot malicious activity in regular network traffic. However, the availability of comprehensive datasets for mobile networks, which are fundamental for the development of Machine Learning (ML) solutions for attack detection near their source, is still limited. Cross-Domain Artificial Intelligence (AI) can be the key to address this, although its application in Open Radio Access Network (O-RAN) is still at its infancy. To address these challenges","authors_text":"Bruno Missi Xavier, Irene Vil\\`a, Magnos Martinello, Marco Ruffini, Merim Dzaferagic","cross_cats":["cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-01-17T13:29:47Z","title":"Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09204","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:c88aae63668cff8de9d73f60dc037d9e595e42f710c5edad017b95384c6c833d","target":"record","created_at":"2026-07-05T07:34:40Z","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":"0710941577b0ab98818f39cca4f1c75abe59b701d24a4dd6421fb4f2cedca033","cross_cats_sorted":["cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-01-17T13:29:47Z","title_canon_sha256":"335a679f17564e8f61089a465bac5f530995364a68475b0f912da302ed96c32a"},"schema_version":"1.0","source":{"id":"2401.09204","kind":"arxiv","version":1}},"canonical_sha256":"df016b9f1b4616dd136c2c712ba8bcd535431254e421f6e07613960bffd99c70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df016b9f1b4616dd136c2c712ba8bcd535431254e421f6e07613960bffd99c70","first_computed_at":"2026-07-05T07:34:40.826682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:40.826682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rma88vW+ndql5GP735sGlf4VyOO3rmKXY0AqASw1fTmaG+zZD3mv6VbvY/CONITB4vklf9r4blPqYQqnc44SCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:40.827037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.09204","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c88aae63668cff8de9d73f60dc037d9e595e42f710c5edad017b95384c6c833d","sha256:90caea53d458b526c176f0fb031c2e5ecf6390bbb99178a7bebda8ab67e61679"],"state_sha256":"9931a5ee9d562fdbf3ae2988f4774cb7214a1c9f377b6ff71502067d7edb452f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4oxD9xQBO8kJaKuZqSkflAPSU1sfxPM6Ui3P2p0vO4d+F3GXc/A8z59+HLpGsnLAOi3LZoyylNuHSB4iuVL2CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T00:21:32.045931Z","bundle_sha256":"a54d1d0be4689692011256a4566316ee317d4a7776eb706340d2b2ddd3bb9fe6"}}