{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","short_pith_number":"pith:5MMRAYBO","canonical_record":{"source":{"id":"2608.06290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2026-08-06T17:14:54Z","cross_cats_sorted":["stat.ME","stat.ML"],"title_canon_sha256":"9bc2a25b00862ee58da9631c03f14596bf4947ab2305ba755d0f57f0a5c3ad4b","abstract_canon_sha256":"1bf5f869a16d5ae52331315866dbf7460772aab73eccbce645b4dcf85260007b"},"schema_version":"1.0"},"canonical_sha256":"eb1910602ec08042acc50264351ccf1969113338e5508daaa513cb888d4300b0","source":{"kind":"arxiv","id":"2608.06290","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06290","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06290v1","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06290","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_12","alias_value":"5MMRAYBOYCAE","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_16","alias_value":"5MMRAYBOYCAEFLGF","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_8","alias_value":"5MMRAYBO","created_at":"2026-08-07T01:41:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","target":"record","payload":{"canonical_record":{"source":{"id":"2608.06290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2026-08-06T17:14:54Z","cross_cats_sorted":["stat.ME","stat.ML"],"title_canon_sha256":"9bc2a25b00862ee58da9631c03f14596bf4947ab2305ba755d0f57f0a5c3ad4b","abstract_canon_sha256":"1bf5f869a16d5ae52331315866dbf7460772aab73eccbce645b4dcf85260007b"},"schema_version":"1.0"},"canonical_sha256":"eb1910602ec08042acc50264351ccf1969113338e5508daaa513cb888d4300b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T01:41:18.466062Z","signature_b64":"iOaSZ4Sab8If14OtVRH9gYcVE2NxaJ9b7L9nyaVmYnY55fm8w/IKcYyceCl9C8F6q7H2yBWQ8ZDdjGDvqLoXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb1910602ec08042acc50264351ccf1969113338e5508daaa513cb888d4300b0","last_reissued_at":"2026-08-07T01:41:18.464197Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T01:41:18.464197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.06290","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":"2026-08-07T01:41:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3VPEpsJhKHrH4o43oBc+ega6fm39jHjsce4wp/vOyXBmA1sKTqxM/0FoYUGqDXGTBFl2YzStsUMqtzMd14m7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:53:27.850373Z"},"content_sha256":"a557e8602ff452ceeac2b3ef9b52bacc6e0e68eb38f6b70a6f251084fcb38e16","schema_version":"1.0","event_id":"sha256:a557e8602ff452ceeac2b3ef9b52bacc6e0e68eb38f6b70a6f251084fcb38e16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Latent Memory States from Longitudinal Athlete Monitoring Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.ML"],"primary_cat":"stat.CO","authors_text":"Dae-Jin Lee","submitted_at":"2026-08-06T17:14:54Z","abstract_excerpt":"We propose a new unit of analysis for longitudinal data: the Latent Memory Table. The scientific contribution is not the encoder. It is that table, treated as a reusable statistical object on the same footing as a matrix of principal-component scores, a table of estimated random effects, or a table of predicted probabilities. We estimate a statistical table that summarizes recent longitudinal history and is intended to be stored, queried, analysed and reused throughout the statistical workflow. A memory operator maps each masked windowed history to a finite-dimensional state; collecting those "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06290","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/2608.06290/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":"2026-08-07T01:41:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Awk+uysOI37rhm73mzTlsZ6ztWQaoZ4uGJ2DXJAa3if6HXyN7jqCwx3y7AcHlHFiMilsvitL2WfGbF69730YCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:53:27.850972Z"},"content_sha256":"441b894b1acc9dad486f66185f1d90628d5a54685339074d81d70388884fff00","schema_version":"1.0","event_id":"sha256:441b894b1acc9dad486f66185f1d90628d5a54685339074d81d70388884fff00"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1007/978-3-031-72086-4_38 resolves to 'LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression'. A reader following the printed text alone cannot reach it.","snippet":"Zeghlache, R., Conze, P.-H., El Habib Daho, M., Li, Y., Le Boit \\'e , H., Tadayoni, R., Massin, P., Cochener, B., Rezaei, A., Brahim, I., Quellec, G.\\ and Lamard, M.\\ (2024). LaTiM : Longitudinal representation learning in continuous-time m","arxiv_id":"2608.06290","detector":"doi_compliance","evidence":{"ref_index":26,"verdict_class":"incontrovertible","resolved_title":"LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression","printed_excerpt":"10.1007/978-3-031-7208","reconstructed_doi":"10.1007/978-3-031-72086-4_38"},"severity":"advisory","ref_index":26,"audited_at":"2026-08-10T10:58:19.274343Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-3-031-72086-4_38","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"19726f6e634ca3aa4f62118279a5bb0f07c205bf841066056ef9b88ff7db4775","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18788,"payload_sha256":"8ddb2d1a762334466553ad59bd03e26ba3dc1050c97b6ca90d5036a519d3d06a","signature_b64":"bbLeMuc0e9KdNKykJtxnlXZ06anUaR9GS1ncrv09jaJ+xBACRmsZMHSxQ4P40xsQgdpBvb5RJKCcTE6WACNPDA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-10T10:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q4a2OKZrokKfPk5GVtH9TufbnQN1al/bebeyZxPmajA4/RqUqJvyzVpfw2Eax9D3rRJkSJ28ZmWhasWKSNDzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:53:27.856968Z"},"content_sha256":"aee6cfb8bb6643736e0695500f821c5853723c0551c5161e00d1d56320605132","schema_version":"1.0","event_id":"sha256:aee6cfb8bb6643736e0695500f821c5853723c0551c5161e00d1d56320605132"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-031-72086-4_38) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Zeghlache, R., Conze, P.-H., El Habib Daho, M., Li, Y., Le Boit \\'e , H., Tadayoni, R., Massin, P., Cochener, B., Rezaei, A., Brahim, I., Quellec, G.\\ and Lamard, M.\\ (2024). LaTiM : Longitudinal representation learning in continuous-time m","arxiv_id":"2608.06290","detector":"doi_compliance","evidence":{"ref_index":26,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/978-3-031-7208","reconstructed_doi":"10.1007/978-3-031-72086-4_38"},"severity":"advisory","ref_index":26,"audited_at":"2026-08-07T10:38:05.508599Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-3-031-72086-4_38","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"fd98d419da0af5815e671b103d63970acf21983e0dfba265a62d815bf57b2ae5","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18456,"payload_sha256":"2b1fd7853b0e32237db0eb275de430590f9a8f0f04c67928903a0cfe87231ac3","signature_b64":"MDaEoYkwfz8kyCNteuQm6W1YnTNmRFYGuW0O2YRNqjtLkKb4thhHYd0YkYZAgQ0tuFtoyBRpGTqLqPgx0GdSBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-07T10:38:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eeiY7pHFym8ndLxk3U3VxqDLy/NJlAFiNqMeESBYUjcNPDAN5PriXRG7n7YMasY2UX9feIqf+eHsrjpdJb/aDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T09:53:27.857593Z"},"content_sha256":"d4e85c53530c2d3223b167a6de1dd120bbd5631293bf7fa3dd06331a8affdfbc","schema_version":"1.0","event_id":"sha256:d4e85c53530c2d3223b167a6de1dd120bbd5631293bf7fa3dd06331a8affdfbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/bundle.json","state_url":"https://pith.science/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/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":"2026-08-14T09:53:27Z","links":{"resolver":"https://pith.science/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF","bundle":"https://pith.science/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/bundle.json","state":"https://pith.science/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5MMRAYBOYCAEFLGFAJSDKHGPDF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5MMRAYBOYCAEFLGFAJSDKHGPDF","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1bf5f869a16d5ae52331315866dbf7460772aab73eccbce645b4dcf85260007b","cross_cats_sorted":["stat.ME","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2026-08-06T17:14:54Z","title_canon_sha256":"9bc2a25b00862ee58da9631c03f14596bf4947ab2305ba755d0f57f0a5c3ad4b"},"schema_version":"1.0","source":{"id":"2608.06290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06290","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06290v1","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06290","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_12","alias_value":"5MMRAYBOYCAE","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_16","alias_value":"5MMRAYBOYCAEFLGF","created_at":"2026-08-07T01:41:18Z"},{"alias_kind":"pith_short_8","alias_value":"5MMRAYBO","created_at":"2026-08-07T01:41:18Z"}],"graph_snapshots":[{"event_id":"sha256:441b894b1acc9dad486f66185f1d90628d5a54685339074d81d70388884fff00","target":"graph","created_at":"2026-08-07T01:41:18Z","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/2608.06290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new unit of analysis for longitudinal data: the Latent Memory Table. The scientific contribution is not the encoder. It is that table, treated as a reusable statistical object on the same footing as a matrix of principal-component scores, a table of estimated random effects, or a table of predicted probabilities. We estimate a statistical table that summarizes recent longitudinal history and is intended to be stored, queried, analysed and reused throughout the statistical workflow. A memory operator maps each masked windowed history to a finite-dimensional state; collecting those ","authors_text":"Dae-Jin Lee","cross_cats":["stat.ME","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2026-08-06T17:14:54Z","title":"Learning Latent Memory States from Longitudinal Athlete Monitoring Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06290","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:a557e8602ff452ceeac2b3ef9b52bacc6e0e68eb38f6b70a6f251084fcb38e16","target":"record","created_at":"2026-08-07T01:41:18Z","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":"1bf5f869a16d5ae52331315866dbf7460772aab73eccbce645b4dcf85260007b","cross_cats_sorted":["stat.ME","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2026-08-06T17:14:54Z","title_canon_sha256":"9bc2a25b00862ee58da9631c03f14596bf4947ab2305ba755d0f57f0a5c3ad4b"},"schema_version":"1.0","source":{"id":"2608.06290","kind":"arxiv","version":1}},"canonical_sha256":"eb1910602ec08042acc50264351ccf1969113338e5508daaa513cb888d4300b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb1910602ec08042acc50264351ccf1969113338e5508daaa513cb888d4300b0","first_computed_at":"2026-08-07T01:41:18.464197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T01:41:18.464197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iOaSZ4Sab8If14OtVRH9gYcVE2NxaJ9b7L9nyaVmYnY55fm8w/IKcYyceCl9C8F6q7H2yBWQ8ZDdjGDvqLoXDw==","signature_status":"signed_v1","signed_at":"2026-08-07T01:41:18.466062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06290","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:aee6cfb8bb6643736e0695500f821c5853723c0551c5161e00d1d56320605132","sha256:d4e85c53530c2d3223b167a6de1dd120bbd5631293bf7fa3dd06331a8affdfbc"]}],"invalid_events":[],"applied_event_ids":["sha256:a557e8602ff452ceeac2b3ef9b52bacc6e0e68eb38f6b70a6f251084fcb38e16","sha256:441b894b1acc9dad486f66185f1d90628d5a54685339074d81d70388884fff00"],"state_sha256":"ff789801e4fb2dd5a2a493b89f86103c5fcc6d2fdaeb6327189b15ce3d261aba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSw3xBRhRTQKRrAQUGdWU/0YFhwUIEVJwEXeVOd9gK72FHUm77BGzshXrjcsKw79qThC7IX55xqc2WXMwZxHCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T09:53:27.860320Z","bundle_sha256":"60d7529ff8be79b73944cebda32caf1a298ec6268cb5b8e7763064a3d4e50200"}}