{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RENVR7UUG75544DLSB5ENCUW7L","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":"66afc4ac5185cdf0d7db047d9471b37abce822fd926e0a6d55165365c3892851","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-07-10T15:21:34Z","title_canon_sha256":"7ef48f29794351d64a9b15c9da6b0f5eab3f4b82399b0ff64216d51d7d0ba252"},"schema_version":"1.0","source":{"id":"2507.07844","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07844","created_at":"2026-07-05T11:35:06Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07844v1","created_at":"2026-07-05T11:35:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07844","created_at":"2026-07-05T11:35:06Z"},{"alias_kind":"pith_short_12","alias_value":"RENVR7UUG755","created_at":"2026-07-05T11:35:06Z"},{"alias_kind":"pith_short_16","alias_value":"RENVR7UUG75544DL","created_at":"2026-07-05T11:35:06Z"},{"alias_kind":"pith_short_8","alias_value":"RENVR7UU","created_at":"2026-07-05T11:35:06Z"}],"graph_snapshots":[{"event_id":"sha256:2491da8feb7a54a7e7d8a83013cee61fb37e4341f210a904caef2dcd0f524499","target":"graph","created_at":"2026-07-05T11:35:06Z","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/2507.07844/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks (NNs) have a great potential for future neutrino telescopes such as IceCube-Gen2, the planned high-energy extension of the IceCube observatory. IceCube-Gen2 will feature new optical sensors with multiple photomultiplier tubes (PMTs) designed to provide omnidirectional sensitivity. Neural networks excel at handling high-dimensional problems and can naturally incorporate the increased complexity of these new sensors. Additionally, their fast inference time makes them promising candidates for handling the high event rates expected from IceCube-Gen2.\n  This contribution presents po","authors_text":"Francisco Javier Vara Carbonell, Jonas Selter (for the IceCube-Gen2 Collaboration)","cross_cats":["astro-ph.HE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-07-10T15:21:34Z","title":"Machine Learning Tools for the IceCube-Gen2 Optical Array"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07844","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":"sha256:1a0406a10906c1c790b3be0c6ae5d6999e4fb8edaa3e073bb21dff6ad283b6db","target":"record","created_at":"2026-07-05T11:35:06Z","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":"66afc4ac5185cdf0d7db047d9471b37abce822fd926e0a6d55165365c3892851","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-07-10T15:21:34Z","title_canon_sha256":"7ef48f29794351d64a9b15c9da6b0f5eab3f4b82399b0ff64216d51d7d0ba252"},"schema_version":"1.0","source":{"id":"2507.07844","kind":"arxiv","version":1}},"canonical_sha256":"891b58fe9437fbde706b907a468a96faf41353cc97eaeccfe6f375226b6ed7cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"891b58fe9437fbde706b907a468a96faf41353cc97eaeccfe6f375226b6ed7cf","first_computed_at":"2026-07-05T11:35:06.086486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:06.086486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GkIY00TnfI84meoGlTOtSUpytLgYJMl5mCPfngxPkWwUoA6dEUy53FHl7VRW4AnprlykAauHKtzjvNFVAQaVAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:06.086839Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07844","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a0406a10906c1c790b3be0c6ae5d6999e4fb8edaa3e073bb21dff6ad283b6db","sha256:2491da8feb7a54a7e7d8a83013cee61fb37e4341f210a904caef2dcd0f524499"],"state_sha256":"b66cbf39fd9d1b9be0a2a823c4517b319115a6e94b04af03860e7e050b64c7d3"}