{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TIN6KTDXJBVOL4GXOOM6QLMAAB","short_pith_number":"pith:TIN6KTDX","canonical_record":{"source":{"id":"1805.03592","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-05-09T15:40:45Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"title_canon_sha256":"b19da08b15645ec36e12e9de1a72881b01ed9edd238d5969ee143658bfb641da","abstract_canon_sha256":"5c80c14da45195a2ca5de0b97dbfffb07ddb4ae9e3da78988bb9402bc953c3b4"},"schema_version":"1.0"},"canonical_sha256":"9a1be54c77486ae5f0d77399e82d80006f5a48b5085d4073d9c773b5e3d85a77","source":{"kind":"arxiv","id":"1805.03592","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03592","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03592v2","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03592","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_12","alias_value":"TIN6KTDXJBVO","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_16","alias_value":"TIN6KTDXJBVOL4GX","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_8","alias_value":"TIN6KTDX","created_at":"2026-07-05T01:51:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TIN6KTDXJBVOL4GXOOM6QLMAAB","target":"record","payload":{"canonical_record":{"source":{"id":"1805.03592","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-05-09T15:40:45Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"title_canon_sha256":"b19da08b15645ec36e12e9de1a72881b01ed9edd238d5969ee143658bfb641da","abstract_canon_sha256":"5c80c14da45195a2ca5de0b97dbfffb07ddb4ae9e3da78988bb9402bc953c3b4"},"schema_version":"1.0"},"canonical_sha256":"9a1be54c77486ae5f0d77399e82d80006f5a48b5085d4073d9c773b5e3d85a77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:51:35.402418Z","signature_b64":"WMBqSQpBycR20TU1y9VCtX1aau1LdHvFuMFHAgCvu+8Wi/eTrff9uLnY9HS0v63NJVGKTf8R4szR83FhtP5KDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a1be54c77486ae5f0d77399e82d80006f5a48b5085d4073d9c773b5e3d85a77","last_reissued_at":"2026-07-05T01:51:35.402030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:51:35.402030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.03592","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:51:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QlSsF0P2X4XCGY7tIO13PFGXMSaAXGfK+tjjup7g9ShYkUkNl9OwWXLF7vBeAMx8QGy/swjSnGnsIrYhwB50Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:25:52.961992Z"},"content_sha256":"d219c09f885a7d170ce4d52fd5ae3d03ad9260a529fa60d177e587397fbc825f","schema_version":"1.0","event_id":"sha256:d219c09f885a7d170ce4d52fd5ae3d03ad9260a529fa60d177e587397fbc825f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TIN6KTDXJBVOL4GXOOM6QLMAAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From synaptic interactions to collective dynamics in random neuronal networks models: critical role of eigenvectors and transient behavior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"primary_cat":"q-bio.NC","authors_text":"Dante R. Chialvo, Ewa Gudowska-Nowak, Jeremi K. Ochab, Maciej A. Nowak, Wojciech Tarnowski","submitted_at":"2018-05-09T15:40:45Z","abstract_excerpt":"The study of neuronal interactions is currently at the center of several big collaborative neuroscience projects (including the Human Connectome Project, the Blue Brain Project, the Brainome, etc.) which attempt to obtain a detailed map of the entire brain. Under certain constraints, mathematical theory can advance predictions of the expected neural dynamics based solely on the statistical properties of the synaptic interaction matrix. This work explores the application of free random variables to the study of large synaptic interaction matrices. Besides recovering in a straightforward way kno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03592","kind":"arxiv","version":2},"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/1805.03592/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":"2026-07-05T01:51:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JpKVKWpuoTs41hbzJmNbEnk12NH8mkNnRpsON/WPHPb7yZZHGvc7WXXAG6f+LQloWmBOpwZ/ufcfUk4WhGBoBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:25:52.962380Z"},"content_sha256":"0f9e792f538399391b1e4902ae993fb2d354720d3aa49e820cd35e51207ac971","schema_version":"1.0","event_id":"sha256:0f9e792f538399391b1e4902ae993fb2d354720d3aa49e820cd35e51207ac971"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/bundle.json","state_url":"https://pith.science/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/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":"2026-07-06T16:25:52Z","links":{"resolver":"https://pith.science/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB","bundle":"https://pith.science/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/bundle.json","state":"https://pith.science/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TIN6KTDXJBVOL4GXOOM6QLMAAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TIN6KTDXJBVOL4GXOOM6QLMAAB","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":"5c80c14da45195a2ca5de0b97dbfffb07ddb4ae9e3da78988bb9402bc953c3b4","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-05-09T15:40:45Z","title_canon_sha256":"b19da08b15645ec36e12e9de1a72881b01ed9edd238d5969ee143658bfb641da"},"schema_version":"1.0","source":{"id":"1805.03592","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03592","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03592v2","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03592","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_12","alias_value":"TIN6KTDXJBVO","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_16","alias_value":"TIN6KTDXJBVOL4GX","created_at":"2026-07-05T01:51:35Z"},{"alias_kind":"pith_short_8","alias_value":"TIN6KTDX","created_at":"2026-07-05T01:51:35Z"}],"graph_snapshots":[{"event_id":"sha256:0f9e792f538399391b1e4902ae993fb2d354720d3aa49e820cd35e51207ac971","target":"graph","created_at":"2026-07-05T01:51:35Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1805.03592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The study of neuronal interactions is currently at the center of several big collaborative neuroscience projects (including the Human Connectome Project, the Blue Brain Project, the Brainome, etc.) which attempt to obtain a detailed map of the entire brain. Under certain constraints, mathematical theory can advance predictions of the expected neural dynamics based solely on the statistical properties of the synaptic interaction matrix. This work explores the application of free random variables to the study of large synaptic interaction matrices. Besides recovering in a straightforward way kno","authors_text":"Dante R. Chialvo, Ewa Gudowska-Nowak, Jeremi K. Ochab, Maciej A. Nowak, Wojciech Tarnowski","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-05-09T15:40:45Z","title":"From synaptic interactions to collective dynamics in random neuronal networks models: critical role of eigenvectors and transient behavior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03592","kind":"arxiv","version":2},"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:d219c09f885a7d170ce4d52fd5ae3d03ad9260a529fa60d177e587397fbc825f","target":"record","created_at":"2026-07-05T01:51:35Z","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":"5c80c14da45195a2ca5de0b97dbfffb07ddb4ae9e3da78988bb9402bc953c3b4","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","math-ph","math.MP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2018-05-09T15:40:45Z","title_canon_sha256":"b19da08b15645ec36e12e9de1a72881b01ed9edd238d5969ee143658bfb641da"},"schema_version":"1.0","source":{"id":"1805.03592","kind":"arxiv","version":2}},"canonical_sha256":"9a1be54c77486ae5f0d77399e82d80006f5a48b5085d4073d9c773b5e3d85a77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a1be54c77486ae5f0d77399e82d80006f5a48b5085d4073d9c773b5e3d85a77","first_computed_at":"2026-07-05T01:51:35.402030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:51:35.402030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WMBqSQpBycR20TU1y9VCtX1aau1LdHvFuMFHAgCvu+8Wi/eTrff9uLnY9HS0v63NJVGKTf8R4szR83FhtP5KDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:51:35.402418Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.03592","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d219c09f885a7d170ce4d52fd5ae3d03ad9260a529fa60d177e587397fbc825f","sha256:0f9e792f538399391b1e4902ae993fb2d354720d3aa49e820cd35e51207ac971"],"state_sha256":"5435a87dc43a9a1e9fb95666c4158436040e5eea262c8f848ebabc94cda1d67f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bonn9nzS8Oa/TObxCGHYeKR42vacufh6iPlIpfV1NgYBOqhSGh2Dz912QIAj8vS/LnSQVxxTmcKGTivctze1AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:25:52.964630Z","bundle_sha256":"7f3b5cdddba880e75e1e0708f6ed99d64e488088220820c0dc8cfc3d8cf5b02f"}}