{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S2RAEY4J2LAJE323HZJGJUWBAF","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":"78ccab82a6a28357d08ae17a98b1815e6b5066d7a8fae66e9701abec39f5c850","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-12T11:27:17Z","title_canon_sha256":"ab5e06293270b26d9e93e860857e71ab1ba04b40fe720fc2230c64d0b6dc4707"},"schema_version":"1.0","source":{"id":"2509.10151","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10151","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10151v1","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10151","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_12","alias_value":"S2RAEY4J2LAJ","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_16","alias_value":"S2RAEY4J2LAJE323","created_at":"2026-07-05T12:11:04Z"},{"alias_kind":"pith_short_8","alias_value":"S2RAEY4J","created_at":"2026-07-05T12:11:04Z"}],"graph_snapshots":[{"event_id":"sha256:0da90a6c639873bc1e4eb88a9f3f5a4ebd1dde6dd7b14225b0b3d2cb90d47b55","target":"graph","created_at":"2026-07-05T12:11:04Z","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/2509.10151/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Electrocardiograms (ECGs) are inexpensive, widely used, and well-suited to deep learning. Recently, interest has grown in developing foundation models for ECGs - models that generalise across diverse downstream tasks. However, consistent evaluation has been lacking: prior work often uses narrow task selections and inconsistent datasets, hindering fair comparison. Here, we introduce BenchECG, a standardised benchmark comprising a comprehensive suite of publicly available ECG datasets and versatile tasks. We also propose xECG, an xLSTM-based recurrent model trained with SimDINOv2 self-supervised","authors_text":"Angus Nicolson, Axel Bauer, Clemens Dlaska, Riccardo Lunelli, Samuel Martin Pr\\\"oll, Sebastian Johannes Reinstadler","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-12T11:27:17Z","title":"BenchECG and xECG: a benchmark and baseline for ECG foundation models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10151","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:c8623812adb015f2eeeeaed88a0a427afe6bf775a03e00ff785b621f7d36e2ce","target":"record","created_at":"2026-07-05T12:11:04Z","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":"78ccab82a6a28357d08ae17a98b1815e6b5066d7a8fae66e9701abec39f5c850","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-12T11:27:17Z","title_canon_sha256":"ab5e06293270b26d9e93e860857e71ab1ba04b40fe720fc2230c64d0b6dc4707"},"schema_version":"1.0","source":{"id":"2509.10151","kind":"arxiv","version":1}},"canonical_sha256":"96a2026389d2c0926f5b3e5264d2c1015271aae98f5c48fa0a1f1dc589e066a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96a2026389d2c0926f5b3e5264d2c1015271aae98f5c48fa0a1f1dc589e066a8","first_computed_at":"2026-07-05T12:11:04.012744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:04.012744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z+05eX1tCN1N/wWm6WAewz9H365xIaIAytXOhFnVKg793FgM/tPLhkKbuPNw03jlx9nzVlv1kvQObn76c/6lCg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:04.013351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10151","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8623812adb015f2eeeeaed88a0a427afe6bf775a03e00ff785b621f7d36e2ce","sha256:0da90a6c639873bc1e4eb88a9f3f5a4ebd1dde6dd7b14225b0b3d2cb90d47b55"],"state_sha256":"3c42162b448b7c01e50ef55d856e0e702ddbd017581d9918e5114183bb0d3aac"}