{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:77UPJDOBXEGL3UZVTCGFFE46WK","short_pith_number":"pith:77UPJDOB","canonical_record":{"source":{"id":"1704.01342","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-04-05T09:57:36Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"ca13d1df757cd97e9383802c7c3e28930954b0cfecc8395b7b3657e0ccf1ebc2","abstract_canon_sha256":"d561fbb8b0672b0a5a7d844e078682ba26ba23d79865ce90bc58e5aebd1a60b9"},"schema_version":"1.0"},"canonical_sha256":"ffe8f48dc1b90cbdd335988c52939eb2916897e6468fb6dbee6f17643e825b9c","source":{"kind":"arxiv","id":"1704.01342","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01342","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01342v1","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01342","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"pith_short_12","alias_value":"77UPJDOBXEGL","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"77UPJDOBXEGL3UZV","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"77UPJDOB","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:77UPJDOBXEGL3UZVTCGFFE46WK","target":"record","payload":{"canonical_record":{"source":{"id":"1704.01342","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-04-05T09:57:36Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"ca13d1df757cd97e9383802c7c3e28930954b0cfecc8395b7b3657e0ccf1ebc2","abstract_canon_sha256":"d561fbb8b0672b0a5a7d844e078682ba26ba23d79865ce90bc58e5aebd1a60b9"},"schema_version":"1.0"},"canonical_sha256":"ffe8f48dc1b90cbdd335988c52939eb2916897e6468fb6dbee6f17643e825b9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:35.022563Z","signature_b64":"a84Zc5UkAE8a41M749TyUiu5R6NJVqklwKMm5Kiqypinf9d7bpybF4zYb+Muz/IwFuzbIgJ+aZWosijUM8mWCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffe8f48dc1b90cbdd335988c52939eb2916897e6468fb6dbee6f17643e825b9c","last_reissued_at":"2026-05-18T00:34:35.022135Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:35.022135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.01342","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":"2026-05-18T00:34:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WGFRVPhWLwGJ4NyPcngs35CXo0IXhF0XBWVlWel6DCOFYIEfTZFehaCYvqTSa0a/GtBjoZ0f0yKnGKQxu50KCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:30:37.299223Z"},"content_sha256":"015e7fe48e0098fd17643588e679dfddb6ae8065e15d84fbad99fbef3ba43530","schema_version":"1.0","event_id":"sha256:015e7fe48e0098fd17643588e679dfddb6ae8065e15d84fbad99fbef3ba43530"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:77UPJDOBXEGL3UZVTCGFFE46WK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-driven modeling of collaboration networks: A cross-domain analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Frank Schweitzer, Giacomo Vaccario, Mario V. Tomasello","submitted_at":"2017-04-05T09:57:36Z","abstract_excerpt":"We analyze large-scale data sets about collaborations from two different domains: economics, specifically 22.000 R&D alliances between 14.500 firms, and science, specifically 300.000 co-authorship relations between 95.000 scientists. Considering the different domains of the data sets, we address two questions: (a) to what extent do the collaboration networks reconstructed from the data share common structural features, and (b) can their structure be reproduced by the same agent-based model. In our data-driven modeling approach we use aggregated network data to calibrate the probabilities at wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01342","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":"2026-05-18T00:34:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vs+hde2fQ/wbOWpJfvvFJF7wGIgh7fYk8JfvDTyAqOdONuCVvxDaX2nuHHoPkQ6CI/zSZ5BwXKoh1C9qK0SrBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:30:37.299633Z"},"content_sha256":"92294e9af6e75be1463646221b70a3f9cd5ab9fbf7578eed5e00b2163160e9a7","schema_version":"1.0","event_id":"sha256:92294e9af6e75be1463646221b70a3f9cd5ab9fbf7578eed5e00b2163160e9a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/77UPJDOBXEGL3UZVTCGFFE46WK/bundle.json","state_url":"https://pith.science/pith/77UPJDOBXEGL3UZVTCGFFE46WK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/77UPJDOBXEGL3UZVTCGFFE46WK/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":"2026-05-27T08:30:37Z","links":{"resolver":"https://pith.science/pith/77UPJDOBXEGL3UZVTCGFFE46WK","bundle":"https://pith.science/pith/77UPJDOBXEGL3UZVTCGFFE46WK/bundle.json","state":"https://pith.science/pith/77UPJDOBXEGL3UZVTCGFFE46WK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/77UPJDOBXEGL3UZVTCGFFE46WK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:77UPJDOBXEGL3UZVTCGFFE46WK","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":"d561fbb8b0672b0a5a7d844e078682ba26ba23d79865ce90bc58e5aebd1a60b9","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-04-05T09:57:36Z","title_canon_sha256":"ca13d1df757cd97e9383802c7c3e28930954b0cfecc8395b7b3657e0ccf1ebc2"},"schema_version":"1.0","source":{"id":"1704.01342","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01342","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01342v1","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01342","created_at":"2026-05-18T00:34:35Z"},{"alias_kind":"pith_short_12","alias_value":"77UPJDOBXEGL","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"77UPJDOBXEGL3UZV","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"77UPJDOB","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:92294e9af6e75be1463646221b70a3f9cd5ab9fbf7578eed5e00b2163160e9a7","target":"graph","created_at":"2026-05-18T00:34:35Z","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":"We analyze large-scale data sets about collaborations from two different domains: economics, specifically 22.000 R&D alliances between 14.500 firms, and science, specifically 300.000 co-authorship relations between 95.000 scientists. Considering the different domains of the data sets, we address two questions: (a) to what extent do the collaboration networks reconstructed from the data share common structural features, and (b) can their structure be reproduced by the same agent-based model. In our data-driven modeling approach we use aggregated network data to calibrate the probabilities at wh","authors_text":"Frank Schweitzer, Giacomo Vaccario, Mario V. Tomasello","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-04-05T09:57:36Z","title":"Data-driven modeling of collaboration networks: A cross-domain analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01342","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":"sha256:015e7fe48e0098fd17643588e679dfddb6ae8065e15d84fbad99fbef3ba43530","target":"record","created_at":"2026-05-18T00:34:35Z","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":"d561fbb8b0672b0a5a7d844e078682ba26ba23d79865ce90bc58e5aebd1a60b9","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-04-05T09:57:36Z","title_canon_sha256":"ca13d1df757cd97e9383802c7c3e28930954b0cfecc8395b7b3657e0ccf1ebc2"},"schema_version":"1.0","source":{"id":"1704.01342","kind":"arxiv","version":1}},"canonical_sha256":"ffe8f48dc1b90cbdd335988c52939eb2916897e6468fb6dbee6f17643e825b9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffe8f48dc1b90cbdd335988c52939eb2916897e6468fb6dbee6f17643e825b9c","first_computed_at":"2026-05-18T00:34:35.022135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:35.022135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a84Zc5UkAE8a41M749TyUiu5R6NJVqklwKMm5Kiqypinf9d7bpybF4zYb+Muz/IwFuzbIgJ+aZWosijUM8mWCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:35.022563Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.01342","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:015e7fe48e0098fd17643588e679dfddb6ae8065e15d84fbad99fbef3ba43530","sha256:92294e9af6e75be1463646221b70a3f9cd5ab9fbf7578eed5e00b2163160e9a7"],"state_sha256":"80b039a4ef80e10c6d6edd58f6ec099e05aa36beecd0faef63d60baff533e509"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"htPYOl06gcxFaPDumEM2e2rsWRECA0yJd+KZLjFaqB1wxiqHxxpg34VGGEx0KnRSWNMt/F+nWFN7Q+lQM0DtDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T08:30:37.302930Z","bundle_sha256":"bd5c5c3e682fa78aa54e258b157abbfe783a54bc74158065d2d50af3d8a21de6"}}