{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:RAPS4LJU2O67L23XBIXWDBZI4H","short_pith_number":"pith:RAPS4LJU","canonical_record":{"source":{"id":"2102.13517","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-25T14:49:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"43fba4567ded4e12d9a1e2f02d78624b5f67763e436cf1f8e9f127b9a7fd0485","abstract_canon_sha256":"62fb43208e9238577552f52f6d672e680b9cb6b94a1b5b461cc0db2cd90b1d79"},"schema_version":"1.0"},"canonical_sha256":"881f2e2d34d3bdf5eb770a2f618728e1ff716c6653a165076256f2f497e885d9","source":{"kind":"arxiv","id":"2102.13517","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.13517","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"2102.13517v1","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.13517","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"RAPS4LJU2O67","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_16","alias_value":"RAPS4LJU2O67L23X","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_8","alias_value":"RAPS4LJU","created_at":"2026-07-05T02:18:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:RAPS4LJU2O67L23XBIXWDBZI4H","target":"record","payload":{"canonical_record":{"source":{"id":"2102.13517","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-25T14:49:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"43fba4567ded4e12d9a1e2f02d78624b5f67763e436cf1f8e9f127b9a7fd0485","abstract_canon_sha256":"62fb43208e9238577552f52f6d672e680b9cb6b94a1b5b461cc0db2cd90b1d79"},"schema_version":"1.0"},"canonical_sha256":"881f2e2d34d3bdf5eb770a2f618728e1ff716c6653a165076256f2f497e885d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:18:38.355836Z","signature_b64":"apys0tQ0j99qopyJVU0puZ89GJ7WBHD9qA4p9woy7Ro+YjkacvI3Jl9VwkX+gmydnewk+yynE6WS30a5JAgNAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"881f2e2d34d3bdf5eb770a2f618728e1ff716c6653a165076256f2f497e885d9","last_reissued_at":"2026-07-05T02:18:38.355405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:18:38.355405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.13517","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":"2026-07-05T02:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fTE/qV+K929MziPoOrKgRtXhdbVno+NaqdGOB3JIrnpPsIi9qvhLJIFP9MqAbvPc+Fv7gWqNpAG2rVCfHxwrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T15:20:59.251700Z"},"content_sha256":"d34f2655fbadfbaa9964004b44717065afa394cf22657350d83f7cadffc7d37b","schema_version":"1.0","event_id":"sha256:d34f2655fbadfbaa9964004b44717065afa394cf22657350d83f7cadffc7d37b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:RAPS4LJU2O67L23XBIXWDBZI4H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Behrouz H. Far, Emad A. Mohammed, Kuo Yang","submitted_at":"2021-02-25T14:49:50Z","abstract_excerpt":"Objective: This paper presents an Alzheimer's disease (AD) detection method based on learning structural similarity between Magnetic Resonance Images (MRIs) and representing this similarity as a graph. Methods: We construct the similarity graph using embedded features of the input image (i.e., Non-Demented (ND), Very Mild Demented (VMD), Mild Demented (MD), and Moderated Demented (MDTD)). We experiment and compare different dimension-reduction and clustering algorithms to construct the best similarity graph to capture the similarity between the same class images using the cosine distance as a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.13517","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2102.13517/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":"2026-07-05T02:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ToFp5X1fqXw2hbbHmztZOcpteFyskLtw7WgpSbjvz5jb/gUeEAsNYiZja1+u4zTqHKcUUNC8tAdVMGIzWw+tDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T15:20:59.252025Z"},"content_sha256":"a0ee666cd0e5c5f7d6b64ed5a2328443cc67d1b5e709d685cc88a37d6d0c565d","schema_version":"1.0","event_id":"sha256:a0ee666cd0e5c5f7d6b64ed5a2328443cc67d1b5e709d685cc88a37d6d0c565d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RAPS4LJU2O67L23XBIXWDBZI4H/bundle.json","state_url":"https://pith.science/pith/RAPS4LJU2O67L23XBIXWDBZI4H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RAPS4LJU2O67L23XBIXWDBZI4H/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":"2026-07-31T15:20:59Z","links":{"resolver":"https://pith.science/pith/RAPS4LJU2O67L23XBIXWDBZI4H","bundle":"https://pith.science/pith/RAPS4LJU2O67L23XBIXWDBZI4H/bundle.json","state":"https://pith.science/pith/RAPS4LJU2O67L23XBIXWDBZI4H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RAPS4LJU2O67L23XBIXWDBZI4H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RAPS4LJU2O67L23XBIXWDBZI4H","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":"62fb43208e9238577552f52f6d672e680b9cb6b94a1b5b461cc0db2cd90b1d79","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-25T14:49:50Z","title_canon_sha256":"43fba4567ded4e12d9a1e2f02d78624b5f67763e436cf1f8e9f127b9a7fd0485"},"schema_version":"1.0","source":{"id":"2102.13517","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.13517","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"2102.13517v1","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.13517","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"RAPS4LJU2O67","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_16","alias_value":"RAPS4LJU2O67L23X","created_at":"2026-07-05T02:18:38Z"},{"alias_kind":"pith_short_8","alias_value":"RAPS4LJU","created_at":"2026-07-05T02:18:38Z"}],"graph_snapshots":[{"event_id":"sha256:a0ee666cd0e5c5f7d6b64ed5a2328443cc67d1b5e709d685cc88a37d6d0c565d","target":"graph","created_at":"2026-07-05T02:18:38Z","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/2102.13517/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Objective: This paper presents an Alzheimer's disease (AD) detection method based on learning structural similarity between Magnetic Resonance Images (MRIs) and representing this similarity as a graph. Methods: We construct the similarity graph using embedded features of the input image (i.e., Non-Demented (ND), Very Mild Demented (VMD), Mild Demented (MD), and Moderated Demented (MDTD)). We experiment and compare different dimension-reduction and clustering algorithms to construct the best similarity graph to capture the similarity between the same class images using the cosine distance as a ","authors_text":"Behrouz H. Far, Emad A. Mohammed, Kuo Yang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-25T14:49:50Z","title":"Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.13517","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:d34f2655fbadfbaa9964004b44717065afa394cf22657350d83f7cadffc7d37b","target":"record","created_at":"2026-07-05T02:18:38Z","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":"62fb43208e9238577552f52f6d672e680b9cb6b94a1b5b461cc0db2cd90b1d79","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-25T14:49:50Z","title_canon_sha256":"43fba4567ded4e12d9a1e2f02d78624b5f67763e436cf1f8e9f127b9a7fd0485"},"schema_version":"1.0","source":{"id":"2102.13517","kind":"arxiv","version":1}},"canonical_sha256":"881f2e2d34d3bdf5eb770a2f618728e1ff716c6653a165076256f2f497e885d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"881f2e2d34d3bdf5eb770a2f618728e1ff716c6653a165076256f2f497e885d9","first_computed_at":"2026-07-05T02:18:38.355405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:18:38.355405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"apys0tQ0j99qopyJVU0puZ89GJ7WBHD9qA4p9woy7Ro+YjkacvI3Jl9VwkX+gmydnewk+yynE6WS30a5JAgNAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:18:38.355836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.13517","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d34f2655fbadfbaa9964004b44717065afa394cf22657350d83f7cadffc7d37b","sha256:a0ee666cd0e5c5f7d6b64ed5a2328443cc67d1b5e709d685cc88a37d6d0c565d"],"state_sha256":"1fde77172e104d085b147210a641c8c41378a05e32c07ff5b706b8d1dbf3319e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"70kKl1wi/qTwPWJ68iLu+5tvcigJi5zLbOhfPrzaUwPTMiQ+OTEh8Mkskskbfz0HOBKsB7v9I0OJ3SSOfowqDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T15:20:59.255364Z","bundle_sha256":"cd100ee6ceca9b6b7494f8c246b19fb0434ab5d60ddc64110b1492a257e4fea5"}}