{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:RKVWG2YHAYEWYKRZB3FYZQBIF2","short_pith_number":"pith:RKVWG2YH","canonical_record":{"source":{"id":"1705.06481","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-05-18T09:05:09Z","cross_cats_sorted":["physics.data-an","physics.soc-ph"],"title_canon_sha256":"aff48d0ddb5e43f4527358723b73b5a9f4cd46e770570123417dd446a33ef0ed","abstract_canon_sha256":"de5b2790a13dfcaf36105d2436d880c3049925c2b1dfc473eacadf6ef86438b8"},"schema_version":"1.0"},"canonical_sha256":"8aab636b0706096c2a390ecb8cc0282e86566eaac0a1e12c79fe1d3b4f55aa42","source":{"kind":"arxiv","id":"1705.06481","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.06481","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"arxiv_version","alias_value":"1705.06481v1","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06481","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"pith_short_12","alias_value":"RKVWG2YHAYEW","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RKVWG2YHAYEWYKRZ","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RKVWG2YH","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:RKVWG2YHAYEWYKRZB3FYZQBIF2","target":"record","payload":{"canonical_record":{"source":{"id":"1705.06481","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-05-18T09:05:09Z","cross_cats_sorted":["physics.data-an","physics.soc-ph"],"title_canon_sha256":"aff48d0ddb5e43f4527358723b73b5a9f4cd46e770570123417dd446a33ef0ed","abstract_canon_sha256":"de5b2790a13dfcaf36105d2436d880c3049925c2b1dfc473eacadf6ef86438b8"},"schema_version":"1.0"},"canonical_sha256":"8aab636b0706096c2a390ecb8cc0282e86566eaac0a1e12c79fe1d3b4f55aa42","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:14.596346Z","signature_b64":"A+mtv8OlrbRXB8Wk9ex7TuZr/Bd/22QL9+sR5sl+s+qUXxxl+ZlFjHOASTy6xIMSAXPFCSVOwS0Cw/foBpvaDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8aab636b0706096c2a390ecb8cc0282e86566eaac0a1e12c79fe1d3b4f55aa42","last_reissued_at":"2026-05-18T00:44:14.595790Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:14.595790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.06481","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":"2026-05-18T00:44:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QlKyqn/IqtlLPa/dxDnL22qW5HY1pcV8Lb4S4+XalGh6fsBwvv64QJhqQnzHxZ8Lk+c4paP6PuB5iIagJQU+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T08:24:30.810767Z"},"content_sha256":"ed44f423531b59dd3d59e3445e034de8a200f47e0706c95b5e2691a5696cf326","schema_version":"1.0","event_id":"sha256:ed44f423531b59dd3d59e3445e034de8a200f47e0706c95b5e2691a5696cf326"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:RKVWG2YHAYEWYKRZB3FYZQBIF2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph analysis and modularity of brain functional connectivity networks: searching for the optimal threshold","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an","physics.soc-ph"],"primary_cat":"q-bio.NC","authors_text":"Angelo Bifone, Carlo Nicolini, C\\'ecile Bordier","submitted_at":"2017-05-18T09:05:09Z","abstract_excerpt":"Neuroimaging data can be represented as networks of nodes and edges that capture the topological organization of the brain connectivity. Graph theory provides a general and powerful framework to study these networks and their structure at various scales. By way of example, community detection methods have been widely applied to investigate the modular structure of many natural networks, including brain functional connectivity networks. Sparsification procedures are often applied to remove the weakest edges, which are the most affected by experimental noise, and to reduce the density of the gra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06481","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":"2026-05-18T00:44:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VfRVTrPB89Msi9y3m/0qOykTc3yGaMEd9NHMtnDskhVN0+JwQv4EnQ0KmB125aoPtvAY5coB9qEOYKhuIqrFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T08:24:30.811179Z"},"content_sha256":"fd22b8237c0c3a5eb5ee0f5b65bcfbe907ad6cdac16b97055d49c30ab4629ee9","schema_version":"1.0","event_id":"sha256:fd22b8237c0c3a5eb5ee0f5b65bcfbe907ad6cdac16b97055d49c30ab4629ee9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/bundle.json","state_url":"https://pith.science/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/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":"2026-05-31T08:24:30Z","links":{"resolver":"https://pith.science/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2","bundle":"https://pith.science/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/bundle.json","state":"https://pith.science/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RKVWG2YHAYEWYKRZB3FYZQBIF2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RKVWG2YHAYEWYKRZB3FYZQBIF2","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":"de5b2790a13dfcaf36105d2436d880c3049925c2b1dfc473eacadf6ef86438b8","cross_cats_sorted":["physics.data-an","physics.soc-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-05-18T09:05:09Z","title_canon_sha256":"aff48d0ddb5e43f4527358723b73b5a9f4cd46e770570123417dd446a33ef0ed"},"schema_version":"1.0","source":{"id":"1705.06481","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.06481","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"arxiv_version","alias_value":"1705.06481v1","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06481","created_at":"2026-05-18T00:44:14Z"},{"alias_kind":"pith_short_12","alias_value":"RKVWG2YHAYEW","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RKVWG2YHAYEWYKRZ","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RKVWG2YH","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:fd22b8237c0c3a5eb5ee0f5b65bcfbe907ad6cdac16b97055d49c30ab4629ee9","target":"graph","created_at":"2026-05-18T00:44:14Z","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":"Neuroimaging data can be represented as networks of nodes and edges that capture the topological organization of the brain connectivity. Graph theory provides a general and powerful framework to study these networks and their structure at various scales. By way of example, community detection methods have been widely applied to investigate the modular structure of many natural networks, including brain functional connectivity networks. Sparsification procedures are often applied to remove the weakest edges, which are the most affected by experimental noise, and to reduce the density of the gra","authors_text":"Angelo Bifone, Carlo Nicolini, C\\'ecile Bordier","cross_cats":["physics.data-an","physics.soc-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-05-18T09:05:09Z","title":"Graph analysis and modularity of brain functional connectivity networks: searching for the optimal threshold"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06481","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:ed44f423531b59dd3d59e3445e034de8a200f47e0706c95b5e2691a5696cf326","target":"record","created_at":"2026-05-18T00:44:14Z","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":"de5b2790a13dfcaf36105d2436d880c3049925c2b1dfc473eacadf6ef86438b8","cross_cats_sorted":["physics.data-an","physics.soc-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2017-05-18T09:05:09Z","title_canon_sha256":"aff48d0ddb5e43f4527358723b73b5a9f4cd46e770570123417dd446a33ef0ed"},"schema_version":"1.0","source":{"id":"1705.06481","kind":"arxiv","version":1}},"canonical_sha256":"8aab636b0706096c2a390ecb8cc0282e86566eaac0a1e12c79fe1d3b4f55aa42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8aab636b0706096c2a390ecb8cc0282e86566eaac0a1e12c79fe1d3b4f55aa42","first_computed_at":"2026-05-18T00:44:14.595790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:14.595790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A+mtv8OlrbRXB8Wk9ex7TuZr/Bd/22QL9+sR5sl+s+qUXxxl+ZlFjHOASTy6xIMSAXPFCSVOwS0Cw/foBpvaDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:14.596346Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.06481","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed44f423531b59dd3d59e3445e034de8a200f47e0706c95b5e2691a5696cf326","sha256:fd22b8237c0c3a5eb5ee0f5b65bcfbe907ad6cdac16b97055d49c30ab4629ee9"],"state_sha256":"eaad75f0cc16123c1977ec94e08fef00362d2ee42c5ab0f6776cfae8271d572d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"usdaABCHG/Vh32bnm3WqldwhFXCz7iPlixGDQ5CuTEKcn1a2vF2Bbe6YWIy+2xtS/b1dPYobCA/omWk76GNXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T08:24:30.813336Z","bundle_sha256":"a2e94e9cbbd73bcd518a931b88395d965a0e1146d41dd90d9cd40f6d87d639a7"}}