{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QKZK45KG6O5VOTBG57JBE6LU4F","short_pith_number":"pith:QKZK45KG","canonical_record":{"source":{"id":"2507.00050","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T02:10:34Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"00e2f463140293cd18b8b7a72e29074e506376aeeab2a9f6879e5d8f20cdd580","abstract_canon_sha256":"a5d2e0b60223cdba64696edeaf9a731671068df3dc9a99be81d7d86dacbf57a7"},"schema_version":"1.0"},"canonical_sha256":"82b2ae7546f3bb574c26efd2127974e166445a5a887c5a05b841df68cabd207d","source":{"kind":"arxiv","id":"2507.00050","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00050","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00050v2","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00050","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_12","alias_value":"QKZK45KG6O5V","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_16","alias_value":"QKZK45KG6O5VOTBG","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_8","alias_value":"QKZK45KG","created_at":"2026-07-05T11:32:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QKZK45KG6O5VOTBG57JBE6LU4F","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00050","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T02:10:34Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"00e2f463140293cd18b8b7a72e29074e506376aeeab2a9f6879e5d8f20cdd580","abstract_canon_sha256":"a5d2e0b60223cdba64696edeaf9a731671068df3dc9a99be81d7d86dacbf57a7"},"schema_version":"1.0"},"canonical_sha256":"82b2ae7546f3bb574c26efd2127974e166445a5a887c5a05b841df68cabd207d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:32:32.863818Z","signature_b64":"iTJgoT1DNmuy5Lp4a2TWL5WCVp3l1ERfwpECFFRU6vAVxGSOi2/1Fhi+GNUZaLtXKFFGOyHRkvTT1gItuEx2DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82b2ae7546f3bb574c26efd2127974e166445a5a887c5a05b841df68cabd207d","last_reissued_at":"2026-07-05T11:32:32.863264Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:32:32.863264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00050","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":"2026-07-05T11:32:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RLc2HCSqTkNBwRThgTqCKE7DOiL00LwpZF+jZSy8CE8/7o0L/KGbLgbDB0B/ATgbXpyJKexeYyeHXcZHjD6LBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:48:02.251123Z"},"content_sha256":"3354d8963c9a273a48265df975c662a08dbcbd743cbb4afd9d387e6279a05371","schema_version":"1.0","event_id":"sha256:3354d8963c9a273a48265df975c662a08dbcbd743cbb4afd9d387e6279a05371"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QKZK45KG6O5VOTBG57JBE6LU4F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.HC","cs.LG"],"primary_cat":"cs.AI","authors_text":"Devin Y. De Silva, Dulani Meedeniya, Sandareka Wickramanayake, Sanka Rasnayaka","submitted_at":"2025-06-25T02:10:34Z","abstract_excerpt":"Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments. However, its use in real-world scenarios has been limited by the lack of comprehensive IMU-based HAR datasets that cover a wide range of activities and the lack of transparency in existing HAR models. Zero-shot HAR (ZS-HAR) overcomes the data limitations, but current models struggle to explain their decisions, making them less transparent. This paper introduces a novel IMU-based ZS-HAR model called the Self-Explainable Z"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00050","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/2507.00050/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":"2026-07-05T11:32:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g+zntLmXy4DHh6VHJ3BBk6m5h2W7jfUa52jd4lNcdcWnza+OanIfD6J1MjtvdYrgfd6fkgT1s3oM6Q3jZRHaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:48:02.252092Z"},"content_sha256":"6dff8c1667a10a67dbf22842e3c073b2fb1c058e39d3f77cfd45145bd47eda97","schema_version":"1.0","event_id":"sha256:6dff8c1667a10a67dbf22842e3c073b2fb1c058e39d3f77cfd45145bd47eda97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QKZK45KG6O5VOTBG57JBE6LU4F/bundle.json","state_url":"https://pith.science/pith/QKZK45KG6O5VOTBG57JBE6LU4F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QKZK45KG6O5VOTBG57JBE6LU4F/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":"2026-08-11T00:48:02Z","links":{"resolver":"https://pith.science/pith/QKZK45KG6O5VOTBG57JBE6LU4F","bundle":"https://pith.science/pith/QKZK45KG6O5VOTBG57JBE6LU4F/bundle.json","state":"https://pith.science/pith/QKZK45KG6O5VOTBG57JBE6LU4F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QKZK45KG6O5VOTBG57JBE6LU4F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QKZK45KG6O5VOTBG57JBE6LU4F","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":"a5d2e0b60223cdba64696edeaf9a731671068df3dc9a99be81d7d86dacbf57a7","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T02:10:34Z","title_canon_sha256":"00e2f463140293cd18b8b7a72e29074e506376aeeab2a9f6879e5d8f20cdd580"},"schema_version":"1.0","source":{"id":"2507.00050","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00050","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00050v2","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00050","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_12","alias_value":"QKZK45KG6O5V","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_16","alias_value":"QKZK45KG6O5VOTBG","created_at":"2026-07-05T11:32:32Z"},{"alias_kind":"pith_short_8","alias_value":"QKZK45KG","created_at":"2026-07-05T11:32:32Z"}],"graph_snapshots":[{"event_id":"sha256:6dff8c1667a10a67dbf22842e3c073b2fb1c058e39d3f77cfd45145bd47eda97","target":"graph","created_at":"2026-07-05T11:32:32Z","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/2507.00050/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments. However, its use in real-world scenarios has been limited by the lack of comprehensive IMU-based HAR datasets that cover a wide range of activities and the lack of transparency in existing HAR models. Zero-shot HAR (ZS-HAR) overcomes the data limitations, but current models struggle to explain their decisions, making them less transparent. This paper introduces a novel IMU-based ZS-HAR model called the Self-Explainable Z","authors_text":"Devin Y. De Silva, Dulani Meedeniya, Sandareka Wickramanayake, Sanka Rasnayaka","cross_cats":["cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T02:10:34Z","title":"SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00050","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":"sha256:3354d8963c9a273a48265df975c662a08dbcbd743cbb4afd9d387e6279a05371","target":"record","created_at":"2026-07-05T11:32:32Z","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":"a5d2e0b60223cdba64696edeaf9a731671068df3dc9a99be81d7d86dacbf57a7","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-25T02:10:34Z","title_canon_sha256":"00e2f463140293cd18b8b7a72e29074e506376aeeab2a9f6879e5d8f20cdd580"},"schema_version":"1.0","source":{"id":"2507.00050","kind":"arxiv","version":2}},"canonical_sha256":"82b2ae7546f3bb574c26efd2127974e166445a5a887c5a05b841df68cabd207d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82b2ae7546f3bb574c26efd2127974e166445a5a887c5a05b841df68cabd207d","first_computed_at":"2026-07-05T11:32:32.863264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:32.863264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iTJgoT1DNmuy5Lp4a2TWL5WCVp3l1ERfwpECFFRU6vAVxGSOi2/1Fhi+GNUZaLtXKFFGOyHRkvTT1gItuEx2DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:32.863818Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00050","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3354d8963c9a273a48265df975c662a08dbcbd743cbb4afd9d387e6279a05371","sha256:6dff8c1667a10a67dbf22842e3c073b2fb1c058e39d3f77cfd45145bd47eda97"],"state_sha256":"f1c8d748040728352e830c4f31bfbfce5a971b5cd91ce3f942835043369d4ae9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s3DmD2mYW25OUctlsKj8GZJkN/f5UGFw+JwkNYaivri3TdRh4+/oGooY8aB5DKwYthvQycg6/is6j9o9vSMmAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:48:02.259305Z","bundle_sha256":"dcf337e576bacff9ba9149af6c8d19a69a55b037e9a1dd3b0e1de19817ff235c"}}