{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5ENXROB3AKPJRJ234VCHAPFSRC","short_pith_number":"pith:5ENXROB3","canonical_record":{"source":{"id":"2508.02957","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T23:47:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"dae586e88f942f02cde622708619639e6ea3dcc88741cc26e353b5f41de8f031","abstract_canon_sha256":"52de6de772ea80a9272d9aa2b27fe63a267600d2f1373107dfc28c7509882f18"},"schema_version":"1.0"},"canonical_sha256":"e91b78b83b029e98a75be544703cb288b73b0fe05823b0ccaa21ba452a15b745","source":{"kind":"arxiv","id":"2508.02957","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02957","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02957v1","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02957","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_12","alias_value":"5ENXROB3AKPJ","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_16","alias_value":"5ENXROB3AKPJRJ23","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_8","alias_value":"5ENXROB3","created_at":"2026-07-05T11:48:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5ENXROB3AKPJRJ234VCHAPFSRC","target":"record","payload":{"canonical_record":{"source":{"id":"2508.02957","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T23:47:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"dae586e88f942f02cde622708619639e6ea3dcc88741cc26e353b5f41de8f031","abstract_canon_sha256":"52de6de772ea80a9272d9aa2b27fe63a267600d2f1373107dfc28c7509882f18"},"schema_version":"1.0"},"canonical_sha256":"e91b78b83b029e98a75be544703cb288b73b0fe05823b0ccaa21ba452a15b745","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:33.572792Z","signature_b64":"HvxPtJUClZEjBSDzEz2PD6vCZpokUh7B86VcFt9hgT4XY4fcTRhmDI7Tea3kGd0sb6irSy5rOSEkRqrZ4dumAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e91b78b83b029e98a75be544703cb288b73b0fe05823b0ccaa21ba452a15b745","last_reissued_at":"2026-07-05T11:48:33.572336Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:33.572336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.02957","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":"2026-07-05T11:48:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7JCDnrXaJsGvt4fsHPMj+EkaiBKIu5kSsWl/ZY88SNLthxP1HzJ0vzkBCUp+bV3j4h5p0uhxIqF2QwCzUoorBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:26:14.067394Z"},"content_sha256":"f5a9f5802b7ca9569e6e47291344508ddd8fdf2e951398a0b5a5b6a1cbfecfd9","schema_version":"1.0","event_id":"sha256:f5a9f5802b7ca9569e6e47291344508ddd8fdf2e951398a0b5a5b6a1cbfecfd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5ENXROB3AKPJRJ234VCHAPFSRC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Emily Y. Chew, Hexin Dong, Mingquan Lin, Puzhen Wu, Qingyu Chen, Yifan Peng, Zhiyong Lu","submitted_at":"2025-08-04T23:47:57Z","abstract_excerpt":"Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss, making effective prognosis crucial for timely intervention. In this work, we propose AMD-Mamba, a novel multi-modal framework for AMD prognosis, and further develop a new AMD biomarker. This framework integrates color fundus images with genetic variants and socio-demographic variables. At its core, AMD-Mamba introduces an innovative metric learning strategy that leverages AMD severity scale score as prior knowledge. This strategy allows the model to learn richer feature representations by aligning learned fe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02957","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/2508.02957/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":"2026-07-05T11:48:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j3VRBGpaKVcKTtbkChP6IZf2BDRnr6o3w4KdFyO6lXih4HP+LGG7S+ZYr+pPs4iI6Tt4zpNkMNIjkKxEFqWpCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:26:14.067908Z"},"content_sha256":"5cfc0fbddf31ae127062cb429c3c52cefca4eaf53fdd29bbae1c90e765d48982","schema_version":"1.0","event_id":"sha256:5cfc0fbddf31ae127062cb429c3c52cefca4eaf53fdd29bbae1c90e765d48982"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5ENXROB3AKPJRJ234VCHAPFSRC/bundle.json","state_url":"https://pith.science/pith/5ENXROB3AKPJRJ234VCHAPFSRC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5ENXROB3AKPJRJ234VCHAPFSRC/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":"2026-08-07T21:26:14Z","links":{"resolver":"https://pith.science/pith/5ENXROB3AKPJRJ234VCHAPFSRC","bundle":"https://pith.science/pith/5ENXROB3AKPJRJ234VCHAPFSRC/bundle.json","state":"https://pith.science/pith/5ENXROB3AKPJRJ234VCHAPFSRC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5ENXROB3AKPJRJ234VCHAPFSRC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5ENXROB3AKPJRJ234VCHAPFSRC","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":"52de6de772ea80a9272d9aa2b27fe63a267600d2f1373107dfc28c7509882f18","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T23:47:57Z","title_canon_sha256":"dae586e88f942f02cde622708619639e6ea3dcc88741cc26e353b5f41de8f031"},"schema_version":"1.0","source":{"id":"2508.02957","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02957","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02957v1","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02957","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_12","alias_value":"5ENXROB3AKPJ","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_16","alias_value":"5ENXROB3AKPJRJ23","created_at":"2026-07-05T11:48:33Z"},{"alias_kind":"pith_short_8","alias_value":"5ENXROB3","created_at":"2026-07-05T11:48:33Z"}],"graph_snapshots":[{"event_id":"sha256:5cfc0fbddf31ae127062cb429c3c52cefca4eaf53fdd29bbae1c90e765d48982","target":"graph","created_at":"2026-07-05T11:48:33Z","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/2508.02957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss, making effective prognosis crucial for timely intervention. In this work, we propose AMD-Mamba, a novel multi-modal framework for AMD prognosis, and further develop a new AMD biomarker. This framework integrates color fundus images with genetic variants and socio-demographic variables. At its core, AMD-Mamba introduces an innovative metric learning strategy that leverages AMD severity scale score as prior knowledge. This strategy allows the model to learn richer feature representations by aligning learned fe","authors_text":"Emily Y. Chew, Hexin Dong, Mingquan Lin, Puzhen Wu, Qingyu Chen, Yifan Peng, Zhiyong Lu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T23:47:57Z","title":"AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02957","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:f5a9f5802b7ca9569e6e47291344508ddd8fdf2e951398a0b5a5b6a1cbfecfd9","target":"record","created_at":"2026-07-05T11:48:33Z","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":"52de6de772ea80a9272d9aa2b27fe63a267600d2f1373107dfc28c7509882f18","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-04T23:47:57Z","title_canon_sha256":"dae586e88f942f02cde622708619639e6ea3dcc88741cc26e353b5f41de8f031"},"schema_version":"1.0","source":{"id":"2508.02957","kind":"arxiv","version":1}},"canonical_sha256":"e91b78b83b029e98a75be544703cb288b73b0fe05823b0ccaa21ba452a15b745","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e91b78b83b029e98a75be544703cb288b73b0fe05823b0ccaa21ba452a15b745","first_computed_at":"2026-07-05T11:48:33.572336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:33.572336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HvxPtJUClZEjBSDzEz2PD6vCZpokUh7B86VcFt9hgT4XY4fcTRhmDI7Tea3kGd0sb6irSy5rOSEkRqrZ4dumAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:33.572792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02957","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5a9f5802b7ca9569e6e47291344508ddd8fdf2e951398a0b5a5b6a1cbfecfd9","sha256:5cfc0fbddf31ae127062cb429c3c52cefca4eaf53fdd29bbae1c90e765d48982"],"state_sha256":"ae3dba1aa92d733775d522250a212d173e8856d73a9c7a84634886e8a4b6d568"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/W8792ip41IncM73PEVomvE83v6VCNuV4czPEuzmMg6MVPaXzS+VMKAxDBxfkecgk0zlMvIs5FbubEb+9YJcBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:26:14.073411Z","bundle_sha256":"048accf766cb2028a3cf86af1ca20f355afa161e0fbd0d794e0dd54ce02f49e6"}}