{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HPRMYT3JIJ7ANVRUYQIBW7UE5B","short_pith_number":"pith:HPRMYT3J","canonical_record":{"source":{"id":"2506.16840","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-20T08:43:39Z","cross_cats_sorted":[],"title_canon_sha256":"d28808af45b848d46928d15e6199d8990c46f3065f565c5097a9432a6079eb3b","abstract_canon_sha256":"ce01feaba25ab5287a6b4b4e8d54fe16f42b11d1cfc7e0dd208ba21af37774d1"},"schema_version":"1.0"},"canonical_sha256":"3be2cc4f69427e06d634c4101b7e84e8635d4cfb878a85417a74a858c0eaa9cd","source":{"kind":"arxiv","id":"2506.16840","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16840","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16840v2","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16840","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_12","alias_value":"HPRMYT3JIJ7A","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_16","alias_value":"HPRMYT3JIJ7ANVRU","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_8","alias_value":"HPRMYT3J","created_at":"2026-07-05T12:10:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HPRMYT3JIJ7ANVRUYQIBW7UE5B","target":"record","payload":{"canonical_record":{"source":{"id":"2506.16840","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-20T08:43:39Z","cross_cats_sorted":[],"title_canon_sha256":"d28808af45b848d46928d15e6199d8990c46f3065f565c5097a9432a6079eb3b","abstract_canon_sha256":"ce01feaba25ab5287a6b4b4e8d54fe16f42b11d1cfc7e0dd208ba21af37774d1"},"schema_version":"1.0"},"canonical_sha256":"3be2cc4f69427e06d634c4101b7e84e8635d4cfb878a85417a74a858c0eaa9cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:10:58.647800Z","signature_b64":"Qz6S+PUww5szdjG/mkc9w+vHYZIfYFjr34vAPaPpa9yZgkV9WpDqoygIFGiWKzC5JeHwSf8t6yjMKmwMFK29Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3be2cc4f69427e06d634c4101b7e84e8635d4cfb878a85417a74a858c0eaa9cd","last_reissued_at":"2026-07-05T12:10:58.647145Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:10:58.647145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.16840","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:10:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"99It7ynEaz7vvFedKb3N7bcSy+lkgi9GkDY0ly2e9Z1WjqazgYyUB5u0VbNIEaDIWG+TXxFhOwEQXkbWbRY2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:48:56.244936Z"},"content_sha256":"b1b1fd013448d01aa52c643c721e63a97deb4c5b3ac2e231625f07b491b0bec2","schema_version":"1.0","event_id":"sha256:b1b1fd013448d01aa52c643c721e63a97deb4c5b3ac2e231625f07b491b0bec2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HPRMYT3JIJ7ANVRUYQIBW7UE5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FedFitTech: A Baseline in Federated Learning for Fitness Tracking","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Kristof Van Laerhoven, Marius Bock, Shreyas Korde, Zeyneddin Oz","submitted_at":"2025-06-20T08:43:39Z","abstract_excerpt":"The rapid evolution of sensors and resource-efficient machine learning models has spurred the widespread adoption of wearable fitness tracking devices. Equipped with inertial sensors, such devices can continuously capture physical movements for fitness technology (FitTech), enabling applications from sports optimization to preventive healthcare. Traditional Centralized Learning approaches to detect fitness activities struggle with data privacy concerns, regulatory restrictions, and communication inefficiencies. In contrast, Federated Learning (FL) enables a decentralized model training by comm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16840","kind":"arxiv","version":2},"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/2506.16840/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":"2026-07-05T12:10:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LVLtY2egTzK16nCfyLe+xCQs/Vhub/ZZD/xGk4KXeb1J7rAmpJk4eu1IVjm6NuC8LgJXPT/zDFwaqgDtu2OEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:48:56.245435Z"},"content_sha256":"79b3ecc5358a7a9a51cb448561a909672a99cd08ea91f095ccde5a06e791323a","schema_version":"1.0","event_id":"sha256:79b3ecc5358a7a9a51cb448561a909672a99cd08ea91f095ccde5a06e791323a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/bundle.json","state_url":"https://pith.science/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/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":"2026-08-09T04:48:56Z","links":{"resolver":"https://pith.science/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B","bundle":"https://pith.science/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/bundle.json","state":"https://pith.science/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HPRMYT3JIJ7ANVRUYQIBW7UE5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HPRMYT3JIJ7ANVRUYQIBW7UE5B","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":"ce01feaba25ab5287a6b4b4e8d54fe16f42b11d1cfc7e0dd208ba21af37774d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-20T08:43:39Z","title_canon_sha256":"d28808af45b848d46928d15e6199d8990c46f3065f565c5097a9432a6079eb3b"},"schema_version":"1.0","source":{"id":"2506.16840","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16840","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16840v2","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16840","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_12","alias_value":"HPRMYT3JIJ7A","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_16","alias_value":"HPRMYT3JIJ7ANVRU","created_at":"2026-07-05T12:10:58Z"},{"alias_kind":"pith_short_8","alias_value":"HPRMYT3J","created_at":"2026-07-05T12:10:58Z"}],"graph_snapshots":[{"event_id":"sha256:79b3ecc5358a7a9a51cb448561a909672a99cd08ea91f095ccde5a06e791323a","target":"graph","created_at":"2026-07-05T12:10:58Z","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/2506.16840/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid evolution of sensors and resource-efficient machine learning models has spurred the widespread adoption of wearable fitness tracking devices. Equipped with inertial sensors, such devices can continuously capture physical movements for fitness technology (FitTech), enabling applications from sports optimization to preventive healthcare. Traditional Centralized Learning approaches to detect fitness activities struggle with data privacy concerns, regulatory restrictions, and communication inefficiencies. In contrast, Federated Learning (FL) enables a decentralized model training by comm","authors_text":"Kristof Van Laerhoven, Marius Bock, Shreyas Korde, Zeyneddin Oz","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-20T08:43:39Z","title":"FedFitTech: A Baseline in Federated Learning for Fitness Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16840","kind":"arxiv","version":2},"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:b1b1fd013448d01aa52c643c721e63a97deb4c5b3ac2e231625f07b491b0bec2","target":"record","created_at":"2026-07-05T12:10:58Z","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":"ce01feaba25ab5287a6b4b4e8d54fe16f42b11d1cfc7e0dd208ba21af37774d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-20T08:43:39Z","title_canon_sha256":"d28808af45b848d46928d15e6199d8990c46f3065f565c5097a9432a6079eb3b"},"schema_version":"1.0","source":{"id":"2506.16840","kind":"arxiv","version":2}},"canonical_sha256":"3be2cc4f69427e06d634c4101b7e84e8635d4cfb878a85417a74a858c0eaa9cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3be2cc4f69427e06d634c4101b7e84e8635d4cfb878a85417a74a858c0eaa9cd","first_computed_at":"2026-07-05T12:10:58.647145Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:10:58.647145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qz6S+PUww5szdjG/mkc9w+vHYZIfYFjr34vAPaPpa9yZgkV9WpDqoygIFGiWKzC5JeHwSf8t6yjMKmwMFK29Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:10:58.647800Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.16840","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1b1fd013448d01aa52c643c721e63a97deb4c5b3ac2e231625f07b491b0bec2","sha256:79b3ecc5358a7a9a51cb448561a909672a99cd08ea91f095ccde5a06e791323a"],"state_sha256":"27778e9d45a80539bf65f0d2da4c082616ad76d8c2d525383c605b801232840a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hM5sQ9HGEP1LAQTmmSE5DB32cSj0u1s5ryRaWGXOdEL41c8CKwjrqz3F3/MYeOmXPuiAxxaD2AcK6qzJu5p9BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:48:56.249166Z","bundle_sha256":"0d07173b15fedfe53f3061479f3796d2c6d18c0a143796cfcf60cb4c191e6b3e"}}