{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DNO3Z766ZD5UCZHRRPAJFY6G2C","short_pith_number":"pith:DNO3Z766","canonical_record":{"source":{"id":"2311.00595","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-01T15:40:30Z","cross_cats_sorted":[],"title_canon_sha256":"60f3fa0d26a443c698ef6cb3f56402c86270786643beaf25b8f849def2ace917","abstract_canon_sha256":"907afdd2b14e97a6bff7b7e4b59e25cfe9c428187532d3ce297f74cbf1793db6"},"schema_version":"1.0"},"canonical_sha256":"1b5dbcffdec8fb4164f18bc092e3c6d0a75ac09b85049a6ac9036ece5f872d10","source":{"kind":"arxiv","id":"2311.00595","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00595","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00595v3","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00595","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"DNO3Z766ZD5U","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"DNO3Z766ZD5UCZHR","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"DNO3Z766","created_at":"2026-07-05T07:53:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DNO3Z766ZD5UCZHRRPAJFY6G2C","target":"record","payload":{"canonical_record":{"source":{"id":"2311.00595","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-01T15:40:30Z","cross_cats_sorted":[],"title_canon_sha256":"60f3fa0d26a443c698ef6cb3f56402c86270786643beaf25b8f849def2ace917","abstract_canon_sha256":"907afdd2b14e97a6bff7b7e4b59e25cfe9c428187532d3ce297f74cbf1793db6"},"schema_version":"1.0"},"canonical_sha256":"1b5dbcffdec8fb4164f18bc092e3c6d0a75ac09b85049a6ac9036ece5f872d10","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:53:48.772540Z","signature_b64":"oBIPy71DHo1IWpXk+R2vOwE86uEhCaFDN96TEBKbuHypqU1HF8cLHmbkw2woJvA5Ln2NTq45Z31h2O0n9DWeCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b5dbcffdec8fb4164f18bc092e3c6d0a75ac09b85049a6ac9036ece5f872d10","last_reissued_at":"2026-07-05T07:53:48.772198Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:53:48.772198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.00595","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:53:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IUMRJ3PU+5URAHUJAHdmKuCbV62woYTSWNEgFiS4xER5QKVewKSpMj5pNrgSCYLlG/hItuA0g/kPCWBWhLvcCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:05:40.259851Z"},"content_sha256":"817a473b812bcf230340d116c639932ab35c14397187d1be5fc034ab04e67271","schema_version":"1.0","event_id":"sha256:817a473b812bcf230340d116c639932ab35c14397187d1be5fc034ab04e67271"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DNO3Z766ZD5UCZHRRPAJFY6G2C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Carlos Cardoso Correia Perello, Francesco Sanna Passino, Yining Che","submitted_at":"2023-11-01T15:40:30Z","abstract_excerpt":"This paper introduces graph-based mutually exciting processes (GB-MEP) to model event times in network point processes, focusing on an application to docked bike-sharing systems. GB-MEP incorporates known relationships between nodes in a graph within the intensity function of a node-based multivariate Hawkes process. This approach reduces the number of parameters to a quantity proportional to the number of nodes in the network, resulting in significant advantages for computational scalability when compared to traditional methods. The model is applied on event data observed on the Santander Cyc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00595","kind":"arxiv","version":3},"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/2311.00595/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":"2026-07-05T07:53:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DTeWASHFB3esKzjwPMrsLz3rHb1tb5BVKN85cOhh2ddZY8CLDjrLtb+zdwp0G35ms+1tf7/SmXegfzVOtwZLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:05:40.260356Z"},"content_sha256":"b629d14227c0dacef495d91e378d4813eeb1fe37584ee8e2f880b81c82bddbf6","schema_version":"1.0","event_id":"sha256:b629d14227c0dacef495d91e378d4813eeb1fe37584ee8e2f880b81c82bddbf6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/bundle.json","state_url":"https://pith.science/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/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":"2026-08-18T15:05:40Z","links":{"resolver":"https://pith.science/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C","bundle":"https://pith.science/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/bundle.json","state":"https://pith.science/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DNO3Z766ZD5UCZHRRPAJFY6G2C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DNO3Z766ZD5UCZHRRPAJFY6G2C","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":"907afdd2b14e97a6bff7b7e4b59e25cfe9c428187532d3ce297f74cbf1793db6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-01T15:40:30Z","title_canon_sha256":"60f3fa0d26a443c698ef6cb3f56402c86270786643beaf25b8f849def2ace917"},"schema_version":"1.0","source":{"id":"2311.00595","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00595","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00595v3","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00595","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_12","alias_value":"DNO3Z766ZD5U","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_16","alias_value":"DNO3Z766ZD5UCZHR","created_at":"2026-07-05T07:53:48Z"},{"alias_kind":"pith_short_8","alias_value":"DNO3Z766","created_at":"2026-07-05T07:53:48Z"}],"graph_snapshots":[{"event_id":"sha256:b629d14227c0dacef495d91e378d4813eeb1fe37584ee8e2f880b81c82bddbf6","target":"graph","created_at":"2026-07-05T07:53:48Z","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/2311.00595/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces graph-based mutually exciting processes (GB-MEP) to model event times in network point processes, focusing on an application to docked bike-sharing systems. GB-MEP incorporates known relationships between nodes in a graph within the intensity function of a node-based multivariate Hawkes process. This approach reduces the number of parameters to a quantity proportional to the number of nodes in the network, resulting in significant advantages for computational scalability when compared to traditional methods. The model is applied on event data observed on the Santander Cyc","authors_text":"Carlos Cardoso Correia Perello, Francesco Sanna Passino, Yining Che","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-01T15:40:30Z","title":"Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00595","kind":"arxiv","version":3},"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":"sha256:817a473b812bcf230340d116c639932ab35c14397187d1be5fc034ab04e67271","target":"record","created_at":"2026-07-05T07:53:48Z","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":"907afdd2b14e97a6bff7b7e4b59e25cfe9c428187532d3ce297f74cbf1793db6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-01T15:40:30Z","title_canon_sha256":"60f3fa0d26a443c698ef6cb3f56402c86270786643beaf25b8f849def2ace917"},"schema_version":"1.0","source":{"id":"2311.00595","kind":"arxiv","version":3}},"canonical_sha256":"1b5dbcffdec8fb4164f18bc092e3c6d0a75ac09b85049a6ac9036ece5f872d10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b5dbcffdec8fb4164f18bc092e3c6d0a75ac09b85049a6ac9036ece5f872d10","first_computed_at":"2026-07-05T07:53:48.772198Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:48.772198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oBIPy71DHo1IWpXk+R2vOwE86uEhCaFDN96TEBKbuHypqU1HF8cLHmbkw2woJvA5Ln2NTq45Z31h2O0n9DWeCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:48.772540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.00595","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:817a473b812bcf230340d116c639932ab35c14397187d1be5fc034ab04e67271","sha256:b629d14227c0dacef495d91e378d4813eeb1fe37584ee8e2f880b81c82bddbf6"],"state_sha256":"8b9497abaa16072bd4b6201c275a1daf3f90c2c3b2c432d2756000f6fbee54b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4WiTi6vjkYZAV98cHChfrVZOPTEjUgbFYtD0hFSNXPPeaUek3p3ZirSbcqVtZ9ZU/jS/0MKyy9tek8CeDVdXCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:05:40.265892Z","bundle_sha256":"5d627580c68c1a5df3e833f3bfa2f9dad262f2062d7790a4abb766397a9e11c4"}}