{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:F3W4EE746XADMYD32FPB6ES6GM","short_pith_number":"pith:F3W4EE74","canonical_record":{"source":{"id":"1811.07407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-18T21:31:22Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"40de3d19d5c5bd0e3036025a33be83cda102c044980712e2785e9d4ef35b5dc4","abstract_canon_sha256":"934b01e68a91c1f8588e71f4bd4b8a14884dd34958a2e65c77f2b61ec4291d72"},"schema_version":"1.0"},"canonical_sha256":"2eedc213fcf5c036607bd15e1f125e3339d1a5089e97b805c93e3cadef9044d0","source":{"kind":"arxiv","id":"1811.07407","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07407","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07407v1","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07407","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"F3W4EE746XAD","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F3W4EE746XADMYD3","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F3W4EE74","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:F3W4EE746XADMYD32FPB6ES6GM","target":"record","payload":{"canonical_record":{"source":{"id":"1811.07407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-18T21:31:22Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"40de3d19d5c5bd0e3036025a33be83cda102c044980712e2785e9d4ef35b5dc4","abstract_canon_sha256":"934b01e68a91c1f8588e71f4bd4b8a14884dd34958a2e65c77f2b61ec4291d72"},"schema_version":"1.0"},"canonical_sha256":"2eedc213fcf5c036607bd15e1f125e3339d1a5089e97b805c93e3cadef9044d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:24.609385Z","signature_b64":"6cMLjb9IyX2cXdejB+2p279b8iQK39iESr1fLWj6naOBqAZU0PqU2CNu2UC+mURIhZ36ePtYzZVodZVhz76fCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eedc213fcf5c036607bd15e1f125e3339d1a5089e97b805c93e3cadef9044d0","last_reissued_at":"2026-05-18T00:00:24.608761Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:24.608761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.07407","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":"2026-05-18T00:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JPWVTSCnk+RrDDizlOpng1TmxnVAlf6svDFC9uotapsflLpC+Ihzhvt4LqwBTYgDB0+m4TW3kce6tCnh8m+8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T20:41:58.700682Z"},"content_sha256":"75401b50a4f4b41600dcceab5b9345896929035ac4f454e0057a696d619dd2d7","schema_version":"1.0","event_id":"sha256:75401b50a4f4b41600dcceab5b9345896929035ac4f454e0057a696d619dd2d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:F3W4EE746XADMYD32FPB6ES6GM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Densenet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Faisal Mahmood, Nicholas J. Durr, Thomas Ashley, Ziyun Yang","submitted_at":"2018-11-18T21:31:22Z","abstract_excerpt":"Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal information. In order for artificial intelligence to make progress in automated, objective, and accurate diagnosis and prognosis, methods to fuse information from multiple medical imaging modalities are required. However, combining information from multiple data sources has several challenges, as current deep learning architectures lack the ability to extract useful representations from multimodal information, and often simple"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07407","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":"2026-05-18T00:00:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cJaLdng1kq3k1zqbZZecnORzMx8rBCV5FuEhoWzAN0caSXnAHtPYz76y5VUEp7FxpG9kyZ57nI+rSU454bJ7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T20:41:58.701360Z"},"content_sha256":"72ec511a85239c442151445d87828aaa6b41aae941d6ecad073288c1867df74e","schema_version":"1.0","event_id":"sha256:72ec511a85239c442151445d87828aaa6b41aae941d6ecad073288c1867df74e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3W4EE746XADMYD32FPB6ES6GM/bundle.json","state_url":"https://pith.science/pith/F3W4EE746XADMYD32FPB6ES6GM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3W4EE746XADMYD32FPB6ES6GM/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":"2026-05-26T20:41:58Z","links":{"resolver":"https://pith.science/pith/F3W4EE746XADMYD32FPB6ES6GM","bundle":"https://pith.science/pith/F3W4EE746XADMYD32FPB6ES6GM/bundle.json","state":"https://pith.science/pith/F3W4EE746XADMYD32FPB6ES6GM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3W4EE746XADMYD32FPB6ES6GM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F3W4EE746XADMYD32FPB6ES6GM","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":"934b01e68a91c1f8588e71f4bd4b8a14884dd34958a2e65c77f2b61ec4291d72","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-18T21:31:22Z","title_canon_sha256":"40de3d19d5c5bd0e3036025a33be83cda102c044980712e2785e9d4ef35b5dc4"},"schema_version":"1.0","source":{"id":"1811.07407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07407","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07407v1","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07407","created_at":"2026-05-18T00:00:24Z"},{"alias_kind":"pith_short_12","alias_value":"F3W4EE746XAD","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F3W4EE746XADMYD3","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F3W4EE74","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:72ec511a85239c442151445d87828aaa6b41aae941d6ecad073288c1867df74e","target":"graph","created_at":"2026-05-18T00:00:24Z","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":"Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal information. In order for artificial intelligence to make progress in automated, objective, and accurate diagnosis and prognosis, methods to fuse information from multiple medical imaging modalities are required. However, combining information from multiple data sources has several challenges, as current deep learning architectures lack the ability to extract useful representations from multimodal information, and often simple","authors_text":"Faisal Mahmood, Nicholas J. Durr, Thomas Ashley, Ziyun Yang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-18T21:31:22Z","title":"Multimodal Densenet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07407","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":"sha256:75401b50a4f4b41600dcceab5b9345896929035ac4f454e0057a696d619dd2d7","target":"record","created_at":"2026-05-18T00:00:24Z","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":"934b01e68a91c1f8588e71f4bd4b8a14884dd34958a2e65c77f2b61ec4291d72","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-18T21:31:22Z","title_canon_sha256":"40de3d19d5c5bd0e3036025a33be83cda102c044980712e2785e9d4ef35b5dc4"},"schema_version":"1.0","source":{"id":"1811.07407","kind":"arxiv","version":1}},"canonical_sha256":"2eedc213fcf5c036607bd15e1f125e3339d1a5089e97b805c93e3cadef9044d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eedc213fcf5c036607bd15e1f125e3339d1a5089e97b805c93e3cadef9044d0","first_computed_at":"2026-05-18T00:00:24.608761Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:24.608761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6cMLjb9IyX2cXdejB+2p279b8iQK39iESr1fLWj6naOBqAZU0PqU2CNu2UC+mURIhZ36ePtYzZVodZVhz76fCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:24.609385Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.07407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75401b50a4f4b41600dcceab5b9345896929035ac4f454e0057a696d619dd2d7","sha256:72ec511a85239c442151445d87828aaa6b41aae941d6ecad073288c1867df74e"],"state_sha256":"93b1c768cc2ac690da1c6dcd1caae7099647e3a1ca8903aa9072f453ae1213b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bTU9hKemnqsTMJ5xQ3yqlgR/4DUUPyBs/D7clCRYv2em592372LsUP0kODcbIcBIme/QChqgUIjI8dSXuMoUAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T20:41:58.704717Z","bundle_sha256":"3d17c947f56e024362d7ac4be91c115832008cb1368fc11457fc459958b1c8e8"}}