{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:BBZOUR7XFHVWAUOI5LBVEXMM67","short_pith_number":"pith:BBZOUR7X","canonical_record":{"source":{"id":"1312.0816","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-12-03T13:23:50Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"de14c17b104a22e21e59a538a35bf225cfbb08123e8acd1711a4ae1212d2f3e2","abstract_canon_sha256":"b7d28d5e8cd912a0a8df65009d5919ae1d3d1a3cdf638e707347ef98adaddbb6"},"schema_version":"1.0"},"canonical_sha256":"0872ea47f729eb6051c8eac3525d8cf7e386a83364dbdc1d847056dbe6217fe7","source":{"kind":"arxiv","id":"1312.0816","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.0816","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"arxiv_version","alias_value":"1312.0816v1","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.0816","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"pith_short_12","alias_value":"BBZOUR7XFHVW","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"BBZOUR7XFHVWAUOI","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"BBZOUR7X","created_at":"2026-05-18T12:27:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:BBZOUR7XFHVWAUOI5LBVEXMM67","target":"record","payload":{"canonical_record":{"source":{"id":"1312.0816","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-12-03T13:23:50Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"de14c17b104a22e21e59a538a35bf225cfbb08123e8acd1711a4ae1212d2f3e2","abstract_canon_sha256":"b7d28d5e8cd912a0a8df65009d5919ae1d3d1a3cdf638e707347ef98adaddbb6"},"schema_version":"1.0"},"canonical_sha256":"0872ea47f729eb6051c8eac3525d8cf7e386a83364dbdc1d847056dbe6217fe7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:36.651402Z","signature_b64":"V0aeyQeTIQfAi4/vsfSsdZq6wN0Zr+FzrBm6xDfTAcHPj1KR1TVobsBTwcBePRsaCa43gx0ZQYu5OMoaGblDAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0872ea47f729eb6051c8eac3525d8cf7e386a83364dbdc1d847056dbe6217fe7","last_reissued_at":"2026-05-18T03:05:36.650803Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:36.650803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1312.0816","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":"2026-05-18T03:05:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lz8w/bj3Qz4LyHXp9qao2igHfPiZtt+i3Quhiv94xAhHfxT85cjGpwSRDcrQsjj5RHPw4VKI5c3W6GOFqpctBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T09:05:13.947478Z"},"content_sha256":"25e4a8de0b3942b82b9b18f575796fabe0085fc0ef67db858582c05d1c5042da","schema_version":"1.0","event_id":"sha256:25e4a8de0b3942b82b9b18f575796fabe0085fc0ef67db858582c05d1c5042da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:BBZOUR7XFHVWAUOI5LBVEXMM67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vectorising the detector geometry to optimize particle transport","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.comp-ph","authors_text":"Andrei Gheata, Federico Carminati, John Apostolakis, Ren\\'e Brun, Sandro Wenzel","submitted_at":"2013-12-03T13:23:50Z","abstract_excerpt":"Among the components contributing to particle transport, geometry navigation is an important consumer of CPU cycles. The tasks performed to get answers to \"basic\" queries such as locating a point within a geometry hierarchy or computing accurately the distance to the next boundary can become very computing intensive for complex detector setups. So far, the existing geometry algorithms employ mainly scalar optimisation strategies (voxelization, caching) to reduce their CPU consumption. In this paper, we would like to take a different approach and investigate how geometry navigation can benefit "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.0816","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":""},"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":"2026-05-18T03:05:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SORUUxuYAEm5B/ARorJ+utyZpP/lK2eVOOqi5j4BgM6bo4R5sjJ6JuRMA0uvA4or8cBf2CfLsdhHmZ4pA2qpBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T09:05:13.948189Z"},"content_sha256":"f8adac6d345e524ff29dd3de7b16e3b60277ed13d55c1c2939a72d1987ddc95d","schema_version":"1.0","event_id":"sha256:f8adac6d345e524ff29dd3de7b16e3b60277ed13d55c1c2939a72d1987ddc95d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/bundle.json","state_url":"https://pith.science/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/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":"2026-05-24T09:05:13Z","links":{"resolver":"https://pith.science/pith/BBZOUR7XFHVWAUOI5LBVEXMM67","bundle":"https://pith.science/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/bundle.json","state":"https://pith.science/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BBZOUR7XFHVWAUOI5LBVEXMM67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:BBZOUR7XFHVWAUOI5LBVEXMM67","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":"b7d28d5e8cd912a0a8df65009d5919ae1d3d1a3cdf638e707347ef98adaddbb6","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-12-03T13:23:50Z","title_canon_sha256":"de14c17b104a22e21e59a538a35bf225cfbb08123e8acd1711a4ae1212d2f3e2"},"schema_version":"1.0","source":{"id":"1312.0816","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.0816","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"arxiv_version","alias_value":"1312.0816v1","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.0816","created_at":"2026-05-18T03:05:36Z"},{"alias_kind":"pith_short_12","alias_value":"BBZOUR7XFHVW","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"BBZOUR7XFHVWAUOI","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"BBZOUR7X","created_at":"2026-05-18T12:27:38Z"}],"graph_snapshots":[{"event_id":"sha256:f8adac6d345e524ff29dd3de7b16e3b60277ed13d55c1c2939a72d1987ddc95d","target":"graph","created_at":"2026-05-18T03:05:36Z","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"},"paper":{"abstract_excerpt":"Among the components contributing to particle transport, geometry navigation is an important consumer of CPU cycles. The tasks performed to get answers to \"basic\" queries such as locating a point within a geometry hierarchy or computing accurately the distance to the next boundary can become very computing intensive for complex detector setups. So far, the existing geometry algorithms employ mainly scalar optimisation strategies (voxelization, caching) to reduce their CPU consumption. In this paper, we would like to take a different approach and investigate how geometry navigation can benefit ","authors_text":"Andrei Gheata, Federico Carminati, John Apostolakis, Ren\\'e Brun, Sandro Wenzel","cross_cats":["hep-ex"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-12-03T13:23:50Z","title":"Vectorising the detector geometry to optimize particle transport"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.0816","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":"sha256:25e4a8de0b3942b82b9b18f575796fabe0085fc0ef67db858582c05d1c5042da","target":"record","created_at":"2026-05-18T03:05:36Z","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":"b7d28d5e8cd912a0a8df65009d5919ae1d3d1a3cdf638e707347ef98adaddbb6","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-12-03T13:23:50Z","title_canon_sha256":"de14c17b104a22e21e59a538a35bf225cfbb08123e8acd1711a4ae1212d2f3e2"},"schema_version":"1.0","source":{"id":"1312.0816","kind":"arxiv","version":1}},"canonical_sha256":"0872ea47f729eb6051c8eac3525d8cf7e386a83364dbdc1d847056dbe6217fe7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0872ea47f729eb6051c8eac3525d8cf7e386a83364dbdc1d847056dbe6217fe7","first_computed_at":"2026-05-18T03:05:36.650803Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:05:36.650803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V0aeyQeTIQfAi4/vsfSsdZq6wN0Zr+FzrBm6xDfTAcHPj1KR1TVobsBTwcBePRsaCa43gx0ZQYu5OMoaGblDAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:05:36.651402Z","signed_message":"canonical_sha256_bytes"},"source_id":"1312.0816","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25e4a8de0b3942b82b9b18f575796fabe0085fc0ef67db858582c05d1c5042da","sha256:f8adac6d345e524ff29dd3de7b16e3b60277ed13d55c1c2939a72d1987ddc95d"],"state_sha256":"2ecd7ba6ed8788e5b8bfb4753f9297fdecb6aa1eb6d33704285f9efd026f666c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hLcaLN9y+DFfbIdZ6LzHkRCQ/E4H3Dx65ckocXuyFnnSfRE8d0Zt9DjnU6aJgfLXyVC4q4ztf0oT0zeKtUD7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T09:05:13.952214Z","bundle_sha256":"21175d3dc6d2e65fabf2a6f79f03ae4c94e986fbe514e726b20d8e3d937a62fc"}}