{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ICMWXKSRC5UIFLFCJ5IQRZIYPX","short_pith_number":"pith:ICMWXKSR","canonical_record":{"source":{"id":"2411.04691","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-11-07T13:23:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c1a4ce92e9de6d0a9e4ddf992c2c2cad25f0ad492658503faed525ee3b6d582d","abstract_canon_sha256":"3f570c57d1014a29407fc0f64bad399555225a927bff4af810cbfd9102c3d21b"},"schema_version":"1.0"},"canonical_sha256":"40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941","source":{"kind":"arxiv","id":"2411.04691","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.04691","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"arxiv_version","alias_value":"2411.04691v1","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.04691","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_12","alias_value":"ICMWXKSRC5UI","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_16","alias_value":"ICMWXKSRC5UIFLFC","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_8","alias_value":"ICMWXKSR","created_at":"2026-07-05T09:32:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ICMWXKSRC5UIFLFCJ5IQRZIYPX","target":"record","payload":{"canonical_record":{"source":{"id":"2411.04691","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-11-07T13:23:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c1a4ce92e9de6d0a9e4ddf992c2c2cad25f0ad492658503faed525ee3b6d582d","abstract_canon_sha256":"3f570c57d1014a29407fc0f64bad399555225a927bff4af810cbfd9102c3d21b"},"schema_version":"1.0"},"canonical_sha256":"40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:32:23.913897Z","signature_b64":"tOP9ZFqhGPpKiXZe0etJmk+VLZMSZghS3df1qCDIKdlt11ru7nWQtn+XjnHO1031lyOo4g/CF+hmYwS04+luCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941","last_reissued_at":"2026-07-05T09:32:23.913484Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:32:23.913484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.04691","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":"2026-07-05T09:32:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PWTRrOGoCTvuYG8Erzaz150ziUbTizGS3fHjwvXxjjK8hlUMsnAKUw03GhpnglDSRLVndDVOvCsV0K5QxhtjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:01:37.393844Z"},"content_sha256":"8cdc8bc24b951d021c4a5735aeb6d7c83ce457e90952f0d3c3bf4997afd1d209","schema_version":"1.0","event_id":"sha256:8cdc8bc24b951d021c4a5735aeb6d7c83ce457e90952f0d3c3bf4997afd1d209"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ICMWXKSRC5UIFLFCJ5IQRZIYPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Miu Kojima, Simon D'Alfonso, Tianyi Zhang","submitted_at":"2024-11-07T13:23:57Z","abstract_excerpt":"Smartphones, equipped with an array of sensors, have become valuable tools for personal sensing. Particularly in digital health, smartphones facilitate the tracking of health-related behaviors and contexts, contributing significantly to digital phenotyping, a process where data from digital interactions is analyzed to infer behaviors and assess mental health. Traditional methods process raw sensor data into information features for statistical and machine learning analyses. In this paper, we introduce a novel approach that systematically converts smartphone-collected data into structured, chro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.04691","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/2411.04691/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":"2026-07-05T09:32:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IjcDPFD4Yw9jwqnoXrAY1TjhOfGbg6TTp+AGLy39dWgza00NemMDNMgVn4NCTUjRcphZmMH86QdizmM6DbdJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:01:37.395043Z"},"content_sha256":"c2fcc3e9f70c3cf63bd0c1b5cd32b7c9dd5cc2537956db5087a3bec922b84695","schema_version":"1.0","event_id":"sha256:c2fcc3e9f70c3cf63bd0c1b5cd32b7c9dd5cc2537956db5087a3bec922b84695"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/bundle.json","state_url":"https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/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":"2026-08-18T17:01:37Z","links":{"resolver":"https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX","bundle":"https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/bundle.json","state":"https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ICMWXKSRC5UIFLFCJ5IQRZIYPX","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":"3f570c57d1014a29407fc0f64bad399555225a927bff4af810cbfd9102c3d21b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-11-07T13:23:57Z","title_canon_sha256":"c1a4ce92e9de6d0a9e4ddf992c2c2cad25f0ad492658503faed525ee3b6d582d"},"schema_version":"1.0","source":{"id":"2411.04691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.04691","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"arxiv_version","alias_value":"2411.04691v1","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.04691","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_12","alias_value":"ICMWXKSRC5UI","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_16","alias_value":"ICMWXKSRC5UIFLFC","created_at":"2026-07-05T09:32:23Z"},{"alias_kind":"pith_short_8","alias_value":"ICMWXKSR","created_at":"2026-07-05T09:32:23Z"}],"graph_snapshots":[{"event_id":"sha256:c2fcc3e9f70c3cf63bd0c1b5cd32b7c9dd5cc2537956db5087a3bec922b84695","target":"graph","created_at":"2026-07-05T09:32:23Z","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/2411.04691/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Smartphones, equipped with an array of sensors, have become valuable tools for personal sensing. Particularly in digital health, smartphones facilitate the tracking of health-related behaviors and contexts, contributing significantly to digital phenotyping, a process where data from digital interactions is analyzed to infer behaviors and assess mental health. Traditional methods process raw sensor data into information features for statistical and machine learning analyses. In this paper, we introduce a novel approach that systematically converts smartphone-collected data into structured, chro","authors_text":"Miu Kojima, Simon D'Alfonso, Tianyi Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-11-07T13:23:57Z","title":"AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.04691","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":"sha256:8cdc8bc24b951d021c4a5735aeb6d7c83ce457e90952f0d3c3bf4997afd1d209","target":"record","created_at":"2026-07-05T09:32:23Z","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":"3f570c57d1014a29407fc0f64bad399555225a927bff4af810cbfd9102c3d21b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-11-07T13:23:57Z","title_canon_sha256":"c1a4ce92e9de6d0a9e4ddf992c2c2cad25f0ad492658503faed525ee3b6d582d"},"schema_version":"1.0","source":{"id":"2411.04691","kind":"arxiv","version":1}},"canonical_sha256":"40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941","first_computed_at":"2026-07-05T09:32:23.913484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:32:23.913484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tOP9ZFqhGPpKiXZe0etJmk+VLZMSZghS3df1qCDIKdlt11ru7nWQtn+XjnHO1031lyOo4g/CF+hmYwS04+luCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:32:23.913897Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.04691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8cdc8bc24b951d021c4a5735aeb6d7c83ce457e90952f0d3c3bf4997afd1d209","sha256:c2fcc3e9f70c3cf63bd0c1b5cd32b7c9dd5cc2537956db5087a3bec922b84695"],"state_sha256":"a5c9489cad9c43e7951137733fc77ec85e327c471fe37a9fe235ebabfd84ae09"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+AUb5pZhOc72gXaz8QPdAun6qxNQp3dAgt9ctNViFLRCQJ6pHZLJaRyYb5e+RqqSS9TTls66jk+nr0wbs3RDBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:01:37.404491Z","bundle_sha256":"3dfab1164ee2eca7b5ee20d6bf13dccea6f5717b085f6f811e223d37608d07de"}}