{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EEMTSOYC757MAQDD337WM7UK4W","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":"737e906b179de6b98d6daf83218ae56a63fe074f25d4b277687c99076d41584b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-25T15:40:33Z","title_canon_sha256":"a05ec1caa9741163ccc5a5ac0ab1a38d9dc55b96ffa947faa73d23ca8537c418"},"schema_version":"1.0","source":{"id":"2605.26194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26194","created_at":"2026-05-27T00:04:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26194v1","created_at":"2026-05-27T00:04:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26194","created_at":"2026-05-27T00:04:28Z"},{"alias_kind":"pith_short_12","alias_value":"EEMTSOYC757M","created_at":"2026-05-27T00:04:28Z"},{"alias_kind":"pith_short_16","alias_value":"EEMTSOYC757MAQDD","created_at":"2026-05-27T00:04:28Z"},{"alias_kind":"pith_short_8","alias_value":"EEMTSOYC","created_at":"2026-05-27T00:04:28Z"}],"graph_snapshots":[{"event_id":"sha256:5df3b764d0e09c1c34b04c6bf9a9969bb2cc445220281962593387d813777c51","target":"graph","created_at":"2026-05-27T00:04:28Z","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/2605.26194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clinical time-series learning is routinely constrained by small, heterogeneous cohorts and protocol drift, while its downstream use spans both classification (e.g., pathology diagnosis) and regression (e.g., temporal forecasting). These constraints make foundation-model pretraining appealing, but raises an important question of which inductive biases should the pretraining objective impose so that representations transfer across task types and subjects. We study this question in pathological gait analysis for spinal cord injury (SCI) via PathoFM, an encoder-centric transformer pretrained on mu","authors_text":"Diego Paez-Granados, Sharmita Dey","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-25T15:40:33Z","title":"On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26194","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:c02fd803d05326895b162aded28e9593cf7166b33dda29e1e27266cea069ea5b","target":"record","created_at":"2026-05-27T00:04:28Z","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":"737e906b179de6b98d6daf83218ae56a63fe074f25d4b277687c99076d41584b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-25T15:40:33Z","title_canon_sha256":"a05ec1caa9741163ccc5a5ac0ab1a38d9dc55b96ffa947faa73d23ca8537c418"},"schema_version":"1.0","source":{"id":"2605.26194","kind":"arxiv","version":1}},"canonical_sha256":"2119393b02ff7ec04063deff667e8ae5b92672818ff4c2360c31ae551cec1654","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2119393b02ff7ec04063deff667e8ae5b92672818ff4c2360c31ae551cec1654","first_computed_at":"2026-05-27T00:04:28.306810Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T00:04:28.306810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EwnNsAB8uMOajYct0/jswLMvlkS1b4aTsPp7aQGjZUgzNaO0wQCdyVPCGpTfsVg/2FGMmzZi9LB0BCzWLAWACg==","signature_status":"signed_v1","signed_at":"2026-05-27T00:04:28.307497Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c02fd803d05326895b162aded28e9593cf7166b33dda29e1e27266cea069ea5b","sha256:5df3b764d0e09c1c34b04c6bf9a9969bb2cc445220281962593387d813777c51"],"state_sha256":"9b0c16d0405d9be39d1afb43922b2eab0e5b220de32706d48a2d0941c7485891"}