{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FBGRXXBPA5GS4NRI445YYU3TOY","short_pith_number":"pith:FBGRXXBP","canonical_record":{"source":{"id":"2509.03240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-03T11:55:28Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"6d5e49b569be6473a5ca3caa8b55b6968cd8bcb2926285c5f3e75647487356c2","abstract_canon_sha256":"359f92f4cb01497f2b2a5df397c61a8486aa46ce9c7d579e446ea0daef104137"},"schema_version":"1.0"},"canonical_sha256":"284d1bdc2f074d2e3628e73b8c53737633fa7906598a2d2073d25bb9b81dafe4","source":{"kind":"arxiv","id":"2509.03240","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03240","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03240v1","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03240","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"FBGRXXBPA5GS","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"FBGRXXBPA5GS4NRI","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"FBGRXXBP","created_at":"2026-07-05T12:04:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FBGRXXBPA5GS4NRI445YYU3TOY","target":"record","payload":{"canonical_record":{"source":{"id":"2509.03240","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-03T11:55:28Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"6d5e49b569be6473a5ca3caa8b55b6968cd8bcb2926285c5f3e75647487356c2","abstract_canon_sha256":"359f92f4cb01497f2b2a5df397c61a8486aa46ce9c7d579e446ea0daef104137"},"schema_version":"1.0"},"canonical_sha256":"284d1bdc2f074d2e3628e73b8c53737633fa7906598a2d2073d25bb9b81dafe4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:06.994874Z","signature_b64":"X4tQfSFSDWlHqJBy1Se7wZY+QFdviYKYLskUGBP3vwpxPlKocsVmwtgwNUA8n91KbIT6NTQaf3h+VUh62BRXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"284d1bdc2f074d2e3628e73b8c53737633fa7906598a2d2073d25bb9b81dafe4","last_reissued_at":"2026-07-05T12:04:06.994358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:06.994358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.03240","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":"2026-07-05T12:04:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GszBKDpkBwDkstRRpyc7eE6VU79StfssBDSPGVpr82LOz8fgYZG4WTuW7/BVyU1JGEFC86bdKY1DXQ0fANECCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:31:00.130364Z"},"content_sha256":"5f7e9b50c6e65b9967429e12d1c1d4c872bb6ad017989632ad337e861b885aa7","schema_version":"1.0","event_id":"sha256:5f7e9b50c6e65b9967429e12d1c1d4c872bb6ad017989632ad337e861b885aa7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FBGRXXBPA5GS4NRI445YYU3TOY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ME"],"primary_cat":"cs.LG","authors_text":"Harald Vilhelm Skat-R{\\o}rdam, Kathrine Sofie Rasmussen, Line Clemmensen, Nicole Nadine L{\\o}nfeldt, Sneha Das","submitted_at":"2025-09-03T11:55:28Z","abstract_excerpt":"Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as single-point events, even though the underlying phenomena are gradual and temporally diffused. Standard metrics like F1 and point-adjusted F1 (F1$_{pa}$) often misrepresent model performance in such real-world, imbalanced datasets. We introduce a window-based F1 metric (F1$_w$) that incorporates temporal tolerance, enabling a more robust assessment of event detection when exact alignment is unrealistic. Empirical analy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03240","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/2509.03240/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":"2026-07-05T12:04:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OVdK98MMgE32ALs3Jg4UjV0rbvFlHxBc0xaqt1b4fdem4sQ8/6QAGvFRoVGA+BiJ9Ok8j6otThYrteVHBzWmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:31:00.130894Z"},"content_sha256":"e61815915958339e5c7396aea20b6ea308f64a3e2c038027b92b7f8c4317ae06","schema_version":"1.0","event_id":"sha256:e61815915958339e5c7396aea20b6ea308f64a3e2c038027b92b7f8c4317ae06"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FBGRXXBPA5GS4NRI445YYU3TOY/bundle.json","state_url":"https://pith.science/pith/FBGRXXBPA5GS4NRI445YYU3TOY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FBGRXXBPA5GS4NRI445YYU3TOY/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":"2026-08-05T10:31:00Z","links":{"resolver":"https://pith.science/pith/FBGRXXBPA5GS4NRI445YYU3TOY","bundle":"https://pith.science/pith/FBGRXXBPA5GS4NRI445YYU3TOY/bundle.json","state":"https://pith.science/pith/FBGRXXBPA5GS4NRI445YYU3TOY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FBGRXXBPA5GS4NRI445YYU3TOY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FBGRXXBPA5GS4NRI445YYU3TOY","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":"359f92f4cb01497f2b2a5df397c61a8486aa46ce9c7d579e446ea0daef104137","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-03T11:55:28Z","title_canon_sha256":"6d5e49b569be6473a5ca3caa8b55b6968cd8bcb2926285c5f3e75647487356c2"},"schema_version":"1.0","source":{"id":"2509.03240","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03240","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03240v1","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03240","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"FBGRXXBPA5GS","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"FBGRXXBPA5GS4NRI","created_at":"2026-07-05T12:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"FBGRXXBP","created_at":"2026-07-05T12:04:06Z"}],"graph_snapshots":[{"event_id":"sha256:e61815915958339e5c7396aea20b6ea308f64a3e2c038027b92b7f8c4317ae06","target":"graph","created_at":"2026-07-05T12:04:06Z","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/2509.03240/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as single-point events, even though the underlying phenomena are gradual and temporally diffused. Standard metrics like F1 and point-adjusted F1 (F1$_{pa}$) often misrepresent model performance in such real-world, imbalanced datasets. We introduce a window-based F1 metric (F1$_w$) that incorporates temporal tolerance, enabling a more robust assessment of event detection when exact alignment is unrealistic. Empirical analy","authors_text":"Harald Vilhelm Skat-R{\\o}rdam, Kathrine Sofie Rasmussen, Line Clemmensen, Nicole Nadine L{\\o}nfeldt, Sneha Das","cross_cats":["cs.AI","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-03T11:55:28Z","title":"Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03240","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":"sha256:5f7e9b50c6e65b9967429e12d1c1d4c872bb6ad017989632ad337e861b885aa7","target":"record","created_at":"2026-07-05T12:04:06Z","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":"359f92f4cb01497f2b2a5df397c61a8486aa46ce9c7d579e446ea0daef104137","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-03T11:55:28Z","title_canon_sha256":"6d5e49b569be6473a5ca3caa8b55b6968cd8bcb2926285c5f3e75647487356c2"},"schema_version":"1.0","source":{"id":"2509.03240","kind":"arxiv","version":1}},"canonical_sha256":"284d1bdc2f074d2e3628e73b8c53737633fa7906598a2d2073d25bb9b81dafe4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"284d1bdc2f074d2e3628e73b8c53737633fa7906598a2d2073d25bb9b81dafe4","first_computed_at":"2026-07-05T12:04:06.994358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:06.994358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X4tQfSFSDWlHqJBy1Se7wZY+QFdviYKYLskUGBP3vwpxPlKocsVmwtgwNUA8n91KbIT6NTQaf3h+VUh62BRXCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:06.994874Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03240","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f7e9b50c6e65b9967429e12d1c1d4c872bb6ad017989632ad337e861b885aa7","sha256:e61815915958339e5c7396aea20b6ea308f64a3e2c038027b92b7f8c4317ae06"],"state_sha256":"aa89f1e58d5ad1effd0f0bbd14e2aa6f01af9de3b5b11ff4875c30a8a4539d0e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fpk2QK293veeL1Lj7G/j4CYstxrb4M1aTGz+xitnDAfPmTCLmwVBEffUNTOOJfP29qHdAbLBjKmaqHGuHGcGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T10:31:00.137428Z","bundle_sha256":"d957092e2df7bf2935210de47e8c3f047fae9d737fcd6ea50612992065a7fe72"}}