{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TOPVGQW7PC5OPLTYB7CLRA2NDP","short_pith_number":"pith:TOPVGQW7","canonical_record":{"source":{"id":"2504.16655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T12:22:24Z","cross_cats_sorted":[],"title_canon_sha256":"ac12190b3fd80ea66243bd34016ced48ffea2ca297304d6328aa13a4f6e8258b","abstract_canon_sha256":"a8331747edb8891ab3835fbfbcab1f8fccc572e1ff8cd23c62e928e7ef0cbd90"},"schema_version":"1.0"},"canonical_sha256":"9b9f5342df78bae7ae780fc4b8834d1bc03ad19ade55dc8e851280b38d1d89d9","source":{"kind":"arxiv","id":"2504.16655","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16655","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16655v1","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16655","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_12","alias_value":"TOPVGQW7PC5O","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_16","alias_value":"TOPVGQW7PC5OPLTY","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_8","alias_value":"TOPVGQW7","created_at":"2026-07-05T10:53:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TOPVGQW7PC5OPLTYB7CLRA2NDP","target":"record","payload":{"canonical_record":{"source":{"id":"2504.16655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T12:22:24Z","cross_cats_sorted":[],"title_canon_sha256":"ac12190b3fd80ea66243bd34016ced48ffea2ca297304d6328aa13a4f6e8258b","abstract_canon_sha256":"a8331747edb8891ab3835fbfbcab1f8fccc572e1ff8cd23c62e928e7ef0cbd90"},"schema_version":"1.0"},"canonical_sha256":"9b9f5342df78bae7ae780fc4b8834d1bc03ad19ade55dc8e851280b38d1d89d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:02.877910Z","signature_b64":"84G94DGUXwEzZmZbqI1rVeyo7o2RYnOkHLSHWeYjq8H89dAE1ofjtfJhtmi2ZjE8MFY/tttgkMmH+3hUH9LcDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b9f5342df78bae7ae780fc4b8834d1bc03ad19ade55dc8e851280b38d1d89d9","last_reissued_at":"2026-07-05T10:53:02.877375Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:02.877375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.16655","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":"2026-07-05T10:53:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iat0i7usw5mIZLI24wzl8NBLwBHpXa9Gu/DpZPhJeqlClnHYl38iDAodFeML1dRkhKu+o42BPGzg5fH9SmTJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:39:46.412231Z"},"content_sha256":"d54ea64fbdf673b4627100548d69ffc1cb21c2b00f2c31bd8d933ff68e68ae2a","schema_version":"1.0","event_id":"sha256:d54ea64fbdf673b4627100548d69ffc1cb21c2b00f2c31bd8d933ff68e68ae2a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TOPVGQW7PC5OPLTYB7CLRA2NDP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrea Merello, Arash Ajoudani, Elisa Motta, Marco Crepaldi, Marta Lagomarsino, Olivia Nocentini, Younggeol Cho","submitted_at":"2025-04-23T12:22:24Z","abstract_excerpt":"Human pose estimation and action recognition have received attention due to their critical roles in healthcare monitoring, rehabilitation, and assistive technologies. In this study, we proposed a novel architecture named Transformer based Encoder Decoder Network (TED Net) designed for estimating human skeleton poses from WiFi Channel State Information (CSI). TED Net integrates convolutional encoders with transformer based attention mechanisms to capture spatiotemporal features from CSI signals. The estimated skeleton poses were used as input to a customized Directed Graph Neural Network (DGNN)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16655","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/2504.16655/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":"2026-07-05T10:53:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lbO0iqfW8WBpQY/eL7qRKp53BBlrT+G+FqobPBOPFWiRLizBtCVcB8XksKC172RuoF9UAAjdAUFPOTkL8c3WDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T16:39:46.412731Z"},"content_sha256":"51785bcc0e0d929a9326b9167e15147a2a33eb5a37aae3ec15f3057d493a5460","schema_version":"1.0","event_id":"sha256:51785bcc0e0d929a9326b9167e15147a2a33eb5a37aae3ec15f3057d493a5460"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/bundle.json","state_url":"https://pith.science/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/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":"2026-08-21T16:39:46Z","links":{"resolver":"https://pith.science/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP","bundle":"https://pith.science/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/bundle.json","state":"https://pith.science/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOPVGQW7PC5OPLTYB7CLRA2NDP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TOPVGQW7PC5OPLTYB7CLRA2NDP","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":"a8331747edb8891ab3835fbfbcab1f8fccc572e1ff8cd23c62e928e7ef0cbd90","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T12:22:24Z","title_canon_sha256":"ac12190b3fd80ea66243bd34016ced48ffea2ca297304d6328aa13a4f6e8258b"},"schema_version":"1.0","source":{"id":"2504.16655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.16655","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"arxiv_version","alias_value":"2504.16655v1","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.16655","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_12","alias_value":"TOPVGQW7PC5O","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_16","alias_value":"TOPVGQW7PC5OPLTY","created_at":"2026-07-05T10:53:02Z"},{"alias_kind":"pith_short_8","alias_value":"TOPVGQW7","created_at":"2026-07-05T10:53:02Z"}],"graph_snapshots":[{"event_id":"sha256:51785bcc0e0d929a9326b9167e15147a2a33eb5a37aae3ec15f3057d493a5460","target":"graph","created_at":"2026-07-05T10:53:02Z","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/2504.16655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human pose estimation and action recognition have received attention due to their critical roles in healthcare monitoring, rehabilitation, and assistive technologies. In this study, we proposed a novel architecture named Transformer based Encoder Decoder Network (TED Net) designed for estimating human skeleton poses from WiFi Channel State Information (CSI). TED Net integrates convolutional encoders with transformer based attention mechanisms to capture spatiotemporal features from CSI signals. The estimated skeleton poses were used as input to a customized Directed Graph Neural Network (DGNN)","authors_text":"Andrea Merello, Arash Ajoudani, Elisa Motta, Marco Crepaldi, Marta Lagomarsino, Olivia Nocentini, Younggeol Cho","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T12:22:24Z","title":"WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.16655","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:d54ea64fbdf673b4627100548d69ffc1cb21c2b00f2c31bd8d933ff68e68ae2a","target":"record","created_at":"2026-07-05T10:53:02Z","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":"a8331747edb8891ab3835fbfbcab1f8fccc572e1ff8cd23c62e928e7ef0cbd90","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T12:22:24Z","title_canon_sha256":"ac12190b3fd80ea66243bd34016ced48ffea2ca297304d6328aa13a4f6e8258b"},"schema_version":"1.0","source":{"id":"2504.16655","kind":"arxiv","version":1}},"canonical_sha256":"9b9f5342df78bae7ae780fc4b8834d1bc03ad19ade55dc8e851280b38d1d89d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b9f5342df78bae7ae780fc4b8834d1bc03ad19ade55dc8e851280b38d1d89d9","first_computed_at":"2026-07-05T10:53:02.877375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:02.877375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"84G94DGUXwEzZmZbqI1rVeyo7o2RYnOkHLSHWeYjq8H89dAE1ofjtfJhtmi2ZjE8MFY/tttgkMmH+3hUH9LcDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:02.877910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.16655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d54ea64fbdf673b4627100548d69ffc1cb21c2b00f2c31bd8d933ff68e68ae2a","sha256:51785bcc0e0d929a9326b9167e15147a2a33eb5a37aae3ec15f3057d493a5460"],"state_sha256":"90a43333013158075ba04a0093ff18d667869f405ccac9875112da93528e4e09"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1MCgzHAX7BhdkkZUI+ZGAWts4ONpsNrxDUuI6rxIu6g7Gy1KRa+FfVdhw23/HJtaiXCO8391P0gc/EUNYPfjBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T16:39:46.418090Z","bundle_sha256":"0078081c17813463192bdf35e5c4a6171f9ad3b3ccff4afbd0e829635c3ccd50"}}