{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SA3VEZA6KFE6RHRL4RERSSMLSU","short_pith_number":"pith:SA3VEZA6","canonical_record":{"source":{"id":"2406.06464","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-10T17:00:54Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"28c3dcc92afc80ab07b2c8eb5172636242fce349bb1d33df46f6d372cc5c5325","abstract_canon_sha256":"94b803495527f2a63c62b7454517eb346a35b00831ad0690b9bf9629f6dffe3b"},"schema_version":"1.0"},"canonical_sha256":"903752641e5149e89e2be44919498b953e5b13481be6de579effc8d28d955b2b","source":{"kind":"arxiv","id":"2406.06464","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06464","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06464v4","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06464","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_12","alias_value":"SA3VEZA6KFE6","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_16","alias_value":"SA3VEZA6KFE6RHRL","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_8","alias_value":"SA3VEZA6","created_at":"2026-07-05T12:06:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SA3VEZA6KFE6RHRL4RERSSMLSU","target":"record","payload":{"canonical_record":{"source":{"id":"2406.06464","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-10T17:00:54Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"28c3dcc92afc80ab07b2c8eb5172636242fce349bb1d33df46f6d372cc5c5325","abstract_canon_sha256":"94b803495527f2a63c62b7454517eb346a35b00831ad0690b9bf9629f6dffe3b"},"schema_version":"1.0"},"canonical_sha256":"903752641e5149e89e2be44919498b953e5b13481be6de579effc8d28d955b2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:45.654204Z","signature_b64":"mDXhrFMvVqzTOltbbVWE6V8MTnQZ96t6VdN4E3ms22CDWBZ3GIOVO0IdbH4tTxGu7C3e6cSmQvrXGPsBSlxZBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"903752641e5149e89e2be44919498b953e5b13481be6de579effc8d28d955b2b","last_reissued_at":"2026-07-05T12:06:45.653694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:45.653694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.06464","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uV0INmA36dhIfBrOgMdbSVx4Lh+OAtAY49XJXR4SJUGH+1I6DDeFgeYarorqvesDXFTCbAjBLgvReuDv2iXVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:12:49.326319Z"},"content_sha256":"37fb210d98d0c28634b6db0d1b997754cf02a8acf197735122aaea0c9c07e370","schema_version":"1.0","event_id":"sha256:37fb210d98d0c28634b6db0d1b997754cf02a8acf197735122aaea0c9c07e370"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SA3VEZA6KFE6RHRL4RERSSMLSU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transforming Wearable Data into Personal Health Insights using Large Language Model Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Akshay Paruchuri, Cory Y. McLean, Daniel McDuff, Erik Schenck, Geza Kovacs, Hao-Wei Su, Jake Sunshine, Javier Perez, Jiening Zhan, Kumar Ayush, Mark Malhotra, Mike A. Merrill, Naghmeh Rezaei, Nova Hammerquist, Qian He, Shwetak Patel, Shyam Tailor, Tim Althoff, Xin Liu, Yun Liu","submitted_at":"2024-06-10T17:00:54Z","abstract_excerpt":"Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code generation. Large language model (LLM) agents present a promising yet largely untapped solution for this analysis at scale. We introduce the Personal Health Insights Agent (PHIA), a system leveraging multistep reasoning with code generation and information retrieval to analyze and interpret behavioral health data. To test its capabilities, we create and share two benchmark datasets with over 4000 health insights question"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06464","kind":"arxiv","version":4},"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/2406.06464/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":"2026-07-05T12:06:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q4bm7F/xfM5B/QcmRe6kVg1vzVS0QupTM95asISLeIEJ16WIr70Pw80ju5qesJuGkFNWT+4dPAQr4JxhyExvBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:12:49.326840Z"},"content_sha256":"5760ae1ebc0ede88485881856c51a3b80ec081d9e9c86741ca763017fe863dfd","schema_version":"1.0","event_id":"sha256:5760ae1ebc0ede88485881856c51a3b80ec081d9e9c86741ca763017fe863dfd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/bundle.json","state_url":"https://pith.science/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/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":"2026-08-07T14:12:49Z","links":{"resolver":"https://pith.science/pith/SA3VEZA6KFE6RHRL4RERSSMLSU","bundle":"https://pith.science/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/bundle.json","state":"https://pith.science/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SA3VEZA6KFE6RHRL4RERSSMLSU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SA3VEZA6KFE6RHRL4RERSSMLSU","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":"94b803495527f2a63c62b7454517eb346a35b00831ad0690b9bf9629f6dffe3b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-10T17:00:54Z","title_canon_sha256":"28c3dcc92afc80ab07b2c8eb5172636242fce349bb1d33df46f6d372cc5c5325"},"schema_version":"1.0","source":{"id":"2406.06464","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06464","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06464v4","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06464","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_12","alias_value":"SA3VEZA6KFE6","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_16","alias_value":"SA3VEZA6KFE6RHRL","created_at":"2026-07-05T12:06:45Z"},{"alias_kind":"pith_short_8","alias_value":"SA3VEZA6","created_at":"2026-07-05T12:06:45Z"}],"graph_snapshots":[{"event_id":"sha256:5760ae1ebc0ede88485881856c51a3b80ec081d9e9c86741ca763017fe863dfd","target":"graph","created_at":"2026-07-05T12:06:45Z","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/2406.06464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code generation. Large language model (LLM) agents present a promising yet largely untapped solution for this analysis at scale. We introduce the Personal Health Insights Agent (PHIA), a system leveraging multistep reasoning with code generation and information retrieval to analyze and interpret behavioral health data. To test its capabilities, we create and share two benchmark datasets with over 4000 health insights question","authors_text":"Akshay Paruchuri, Cory Y. McLean, Daniel McDuff, Erik Schenck, Geza Kovacs, Hao-Wei Su, Jake Sunshine, Javier Perez, Jiening Zhan, Kumar Ayush, Mark Malhotra, Mike A. Merrill, Naghmeh Rezaei, Nova Hammerquist, Qian He, Shwetak Patel, Shyam Tailor, Tim Althoff, Xin Liu, Yun Liu","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-10T17:00:54Z","title":"Transforming Wearable Data into Personal Health Insights using Large Language Model Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06464","kind":"arxiv","version":4},"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":"sha256:37fb210d98d0c28634b6db0d1b997754cf02a8acf197735122aaea0c9c07e370","target":"record","created_at":"2026-07-05T12:06:45Z","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":"94b803495527f2a63c62b7454517eb346a35b00831ad0690b9bf9629f6dffe3b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-10T17:00:54Z","title_canon_sha256":"28c3dcc92afc80ab07b2c8eb5172636242fce349bb1d33df46f6d372cc5c5325"},"schema_version":"1.0","source":{"id":"2406.06464","kind":"arxiv","version":4}},"canonical_sha256":"903752641e5149e89e2be44919498b953e5b13481be6de579effc8d28d955b2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"903752641e5149e89e2be44919498b953e5b13481be6de579effc8d28d955b2b","first_computed_at":"2026-07-05T12:06:45.653694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:45.653694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mDXhrFMvVqzTOltbbVWE6V8MTnQZ96t6VdN4E3ms22CDWBZ3GIOVO0IdbH4tTxGu7C3e6cSmQvrXGPsBSlxZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:45.654204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06464","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37fb210d98d0c28634b6db0d1b997754cf02a8acf197735122aaea0c9c07e370","sha256:5760ae1ebc0ede88485881856c51a3b80ec081d9e9c86741ca763017fe863dfd"],"state_sha256":"50b2134053e4a6d8d1fa2e27960cd64677b7b901673f6636a2a5ab68990fd634"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yGtYi9Asp1HIBZcVR22G4VRGcXWMaRA8wlgyMZRxXwlWkEbzfpxaRfqnmt+zeDdjm/4jvq2Jd3bLAiYx9EWGDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T14:12:49.331296Z","bundle_sha256":"ebac412cc0c2cf080a47bdf549c90fddab7a6d9fc0d9a2380113e37791bcd2e6"}}