{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:JRJIUKYNYLEWHB4XFMS3NYWBNP","short_pith_number":"pith:JRJIUKYN","canonical_record":{"source":{"id":"1603.01067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-03T12:06:00Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f79a100bc2a96b7fde51bcef80469b0b20df7ff0cc1b2318b0f609b9818c09fa","abstract_canon_sha256":"2dafae2fa0536e0e630254e8f70f71b731b9f533ab4ef8a811ea8600c7812ca0"},"schema_version":"1.0"},"canonical_sha256":"4c528a2b0dc2c96387972b25b6e2c16bf33369fc9e86ee642ead9f55f4438a21","source":{"kind":"arxiv","id":"1603.01067","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.01067","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"arxiv_version","alias_value":"1603.01067v1","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.01067","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"pith_short_12","alias_value":"JRJIUKYNYLEW","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JRJIUKYNYLEWHB4X","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JRJIUKYN","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:JRJIUKYNYLEWHB4XFMS3NYWBNP","target":"record","payload":{"canonical_record":{"source":{"id":"1603.01067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-03T12:06:00Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f79a100bc2a96b7fde51bcef80469b0b20df7ff0cc1b2318b0f609b9818c09fa","abstract_canon_sha256":"2dafae2fa0536e0e630254e8f70f71b731b9f533ab4ef8a811ea8600c7812ca0"},"schema_version":"1.0"},"canonical_sha256":"4c528a2b0dc2c96387972b25b6e2c16bf33369fc9e86ee642ead9f55f4438a21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:19:39.751696Z","signature_b64":"Ss3YfOUTA2ebR+b4NVAbrtNTZsXuWAt+yZlSxVUu9nzOG9cz/hAlmpFkb/ExP5bxENwBTNK+q/gix91EORBWCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c528a2b0dc2c96387972b25b6e2c16bf33369fc9e86ee642ead9f55f4438a21","last_reissued_at":"2026-05-18T01:19:39.751068Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:19:39.751068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.01067","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":"2026-05-18T01:19:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i70qdjozVYWyMP4fuIhQfcKGJopxCVjMSXB0WiGAcrkDNncz+JvNHrssEhHhHpMJbCkLMspifOhyLkxBghM/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:06:18.489817Z"},"content_sha256":"adc6d378f7ee58cf472eae9d3441f578b4be604d6d085c325e64dc765dd216d8","schema_version":"1.0","event_id":"sha256:adc6d378f7ee58cf472eae9d3441f578b4be604d6d085c325e64dc765dd216d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:JRJIUKYNYLEWHB4XFMS3NYWBNP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Eda Mizrak, Fatos T. Yarman Vural, Ilke Oztekin, Itir Onal, Mete Ozay","submitted_at":"2016-03-03T12:06:00Z","abstract_excerpt":"We represent the sequence of fMRI (Functional Magnetic Resonance Imaging) brain volumes recorded during a cognitive stimulus by a graph which consists of a set of local meshes. The corresponding cognitive process, encoded in the brain, is then represented by these meshes each of which is estimated assuming a linear relationship among the voxel time series in a predefined locality. First, we define the concept of locality in two neighborhood systems, namely, the spatial and functional neighborhoods. Then, we construct spatially and functionally local meshes around each voxel, called seed voxel,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.01067","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":"2026-05-18T01:19:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kvILdFp5Dtsqi9HqOkenOj77YNJQnCvNShGksump4Mtpa9smqNrA7rQXuGFiPvooFWb1rDYO2tSNaDKBuOMzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:06:18.490205Z"},"content_sha256":"6cd6814d386847a6a50534d05490e385a56660b30cb834f240e77592e5540e4e","schema_version":"1.0","event_id":"sha256:6cd6814d386847a6a50534d05490e385a56660b30cb834f240e77592e5540e4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/bundle.json","state_url":"https://pith.science/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/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":"2026-06-04T15:06:18Z","links":{"resolver":"https://pith.science/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP","bundle":"https://pith.science/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/bundle.json","state":"https://pith.science/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JRJIUKYNYLEWHB4XFMS3NYWBNP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JRJIUKYNYLEWHB4XFMS3NYWBNP","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":"2dafae2fa0536e0e630254e8f70f71b731b9f533ab4ef8a811ea8600c7812ca0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-03T12:06:00Z","title_canon_sha256":"f79a100bc2a96b7fde51bcef80469b0b20df7ff0cc1b2318b0f609b9818c09fa"},"schema_version":"1.0","source":{"id":"1603.01067","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.01067","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"arxiv_version","alias_value":"1603.01067v1","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.01067","created_at":"2026-05-18T01:19:39Z"},{"alias_kind":"pith_short_12","alias_value":"JRJIUKYNYLEW","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JRJIUKYNYLEWHB4X","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JRJIUKYN","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:6cd6814d386847a6a50534d05490e385a56660b30cb834f240e77592e5540e4e","target":"graph","created_at":"2026-05-18T01:19:39Z","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 represent the sequence of fMRI (Functional Magnetic Resonance Imaging) brain volumes recorded during a cognitive stimulus by a graph which consists of a set of local meshes. The corresponding cognitive process, encoded in the brain, is then represented by these meshes each of which is estimated assuming a linear relationship among the voxel time series in a predefined locality. First, we define the concept of locality in two neighborhood systems, namely, the spatial and functional neighborhoods. Then, we construct spatially and functionally local meshes around each voxel, called seed voxel,","authors_text":"Eda Mizrak, Fatos T. Yarman Vural, Ilke Oztekin, Itir Onal, Mete Ozay","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-03T12:06:00Z","title":"Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.01067","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:adc6d378f7ee58cf472eae9d3441f578b4be604d6d085c325e64dc765dd216d8","target":"record","created_at":"2026-05-18T01:19:39Z","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":"2dafae2fa0536e0e630254e8f70f71b731b9f533ab4ef8a811ea8600c7812ca0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-03T12:06:00Z","title_canon_sha256":"f79a100bc2a96b7fde51bcef80469b0b20df7ff0cc1b2318b0f609b9818c09fa"},"schema_version":"1.0","source":{"id":"1603.01067","kind":"arxiv","version":1}},"canonical_sha256":"4c528a2b0dc2c96387972b25b6e2c16bf33369fc9e86ee642ead9f55f4438a21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c528a2b0dc2c96387972b25b6e2c16bf33369fc9e86ee642ead9f55f4438a21","first_computed_at":"2026-05-18T01:19:39.751068Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:39.751068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ss3YfOUTA2ebR+b4NVAbrtNTZsXuWAt+yZlSxVUu9nzOG9cz/hAlmpFkb/ExP5bxENwBTNK+q/gix91EORBWCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:39.751696Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.01067","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adc6d378f7ee58cf472eae9d3441f578b4be604d6d085c325e64dc765dd216d8","sha256:6cd6814d386847a6a50534d05490e385a56660b30cb834f240e77592e5540e4e"],"state_sha256":"0543f97915114d4795bb27f67703564dc49d98775e5be41cb59bdf3ff28919fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YOy7trpSuvbGoi5zkfWxRRAnSMrzYkqyXBDTjuf2zMQoMIPI7f0ro/7RllHvCgW6VSnJl/Xcq4+1KihJJDi7Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T15:06:18.492221Z","bundle_sha256":"79063ea880f2b548458fc2a62e9878f690321dd76822d19d10a316bcff9e6844"}}