{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Y4NHYBWTUNM4ZSY4P3JMJHC7E4","short_pith_number":"pith:Y4NHYBWT","canonical_record":{"source":{"id":"2512.22385","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-12-26T21:03:15Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"e18d63e22958cbf69d823be21e7bb7c89faab3f4fa3a34e9d8df6e83cd785f0f","abstract_canon_sha256":"9b3728bb2aa50235e5759b3916c8f0ffacec8a9a7de0e71726b8cecc7daf173f"},"schema_version":"1.0"},"canonical_sha256":"c71a7c06d3a359cccb1c7ed2c49c5f272ebfde8121a1aff8b284a868aace8433","source":{"kind":"arxiv","id":"2512.22385","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.22385","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2512.22385v2","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.22385","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"Y4NHYBWTUNM4","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"Y4NHYBWTUNM4ZSY4","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"Y4NHYBWT","created_at":"2026-07-21T01:19:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Y4NHYBWTUNM4ZSY4P3JMJHC7E4","target":"record","payload":{"canonical_record":{"source":{"id":"2512.22385","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-12-26T21:03:15Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"e18d63e22958cbf69d823be21e7bb7c89faab3f4fa3a34e9d8df6e83cd785f0f","abstract_canon_sha256":"9b3728bb2aa50235e5759b3916c8f0ffacec8a9a7de0e71726b8cecc7daf173f"},"schema_version":"1.0"},"canonical_sha256":"c71a7c06d3a359cccb1c7ed2c49c5f272ebfde8121a1aff8b284a868aace8433","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T01:19:51.598325Z","signature_b64":"+TXuruVcoCKtXaGNumwSvnJ3k0cfh9CAA7j4Nt/LuqMBY0u3U374bYYjbVz9Am8kA2EuY3quqpL+bzcyKZmVBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c71a7c06d3a359cccb1c7ed2c49c5f272ebfde8121a1aff8b284a868aace8433","last_reissued_at":"2026-07-21T01:19:51.597386Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T01:19:51.597386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2512.22385","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":"2026-07-21T01:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MZn+Cm9upBX49oekZyOOLDqvK3iWyHj2J6XzE2jnEaknFknwqaQoR/5ezdc69/VEZhLmIRfCE3IJP3IQtTCwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:24:40.960057Z"},"content_sha256":"f9e0de8535259aab71285cce1126d44dd406b4ad57032e59aef4983200cf62b2","schema_version":"1.0","event_id":"sha256:f9e0de8535259aab71285cce1126d44dd406b4ad57032e59aef4983200cf62b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Y4NHYBWTUNM4ZSY4P3JMJHC7E4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CL","authors_text":"Elsen Ronando, Sozo Inoue","submitted_at":"2025-12-26T21:03:15Z","abstract_excerpt":"In this paper, we propose an LLM-Guided Exemplar Selection framework to address a key limitation in state-of-the-art Human Activity Recognition (HAR) methods: their reliance on large labeled datasets and purely geometric exemplar selection, which often fail to distinguish similar wearable sensor activities such as walking, walking upstairs, and walking downstairs. Our method incorporates semantic reasoning via an LLM-generated knowledge prior that captures feature importance, inter-class confusability, and exemplar budget multipliers, and uses it to guide exemplar scoring and selection. These "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.22385","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/2512.22385/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":"2026-07-21T01:19:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/id7pDPDCdOTwoAQq68IRw51S7w+m3JYsnhguvJtdH0I2SDi+UhMaAwbfhlCx24IUSnj4Wc75BzjigYAws8Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:24:40.960687Z"},"content_sha256":"003379844094423a44b2935ce09d98c9209c799883e268d14111737d4cbe4420","schema_version":"1.0","event_id":"sha256:003379844094423a44b2935ce09d98c9209c799883e268d14111737d4cbe4420"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/bundle.json","state_url":"https://pith.science/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/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":"2026-08-06T04:24:40Z","links":{"resolver":"https://pith.science/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4","bundle":"https://pith.science/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/bundle.json","state":"https://pith.science/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y4NHYBWTUNM4ZSY4P3JMJHC7E4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y4NHYBWTUNM4ZSY4P3JMJHC7E4","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":"9b3728bb2aa50235e5759b3916c8f0ffacec8a9a7de0e71726b8cecc7daf173f","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-12-26T21:03:15Z","title_canon_sha256":"e18d63e22958cbf69d823be21e7bb7c89faab3f4fa3a34e9d8df6e83cd785f0f"},"schema_version":"1.0","source":{"id":"2512.22385","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.22385","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"arxiv_version","alias_value":"2512.22385v2","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.22385","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_12","alias_value":"Y4NHYBWTUNM4","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_16","alias_value":"Y4NHYBWTUNM4ZSY4","created_at":"2026-07-21T01:19:51Z"},{"alias_kind":"pith_short_8","alias_value":"Y4NHYBWT","created_at":"2026-07-21T01:19:51Z"}],"graph_snapshots":[{"event_id":"sha256:003379844094423a44b2935ce09d98c9209c799883e268d14111737d4cbe4420","target":"graph","created_at":"2026-07-21T01:19:51Z","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/2512.22385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose an LLM-Guided Exemplar Selection framework to address a key limitation in state-of-the-art Human Activity Recognition (HAR) methods: their reliance on large labeled datasets and purely geometric exemplar selection, which often fail to distinguish similar wearable sensor activities such as walking, walking upstairs, and walking downstairs. Our method incorporates semantic reasoning via an LLM-generated knowledge prior that captures feature importance, inter-class confusability, and exemplar budget multipliers, and uses it to guide exemplar scoring and selection. These ","authors_text":"Elsen Ronando, Sozo Inoue","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-12-26T21:03:15Z","title":"LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.22385","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:f9e0de8535259aab71285cce1126d44dd406b4ad57032e59aef4983200cf62b2","target":"record","created_at":"2026-07-21T01:19:51Z","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":"9b3728bb2aa50235e5759b3916c8f0ffacec8a9a7de0e71726b8cecc7daf173f","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-12-26T21:03:15Z","title_canon_sha256":"e18d63e22958cbf69d823be21e7bb7c89faab3f4fa3a34e9d8df6e83cd785f0f"},"schema_version":"1.0","source":{"id":"2512.22385","kind":"arxiv","version":2}},"canonical_sha256":"c71a7c06d3a359cccb1c7ed2c49c5f272ebfde8121a1aff8b284a868aace8433","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c71a7c06d3a359cccb1c7ed2c49c5f272ebfde8121a1aff8b284a868aace8433","first_computed_at":"2026-07-21T01:19:51.597386Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T01:19:51.597386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+TXuruVcoCKtXaGNumwSvnJ3k0cfh9CAA7j4Nt/LuqMBY0u3U374bYYjbVz9Am8kA2EuY3quqpL+bzcyKZmVBg==","signature_status":"signed_v1","signed_at":"2026-07-21T01:19:51.598325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.22385","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9e0de8535259aab71285cce1126d44dd406b4ad57032e59aef4983200cf62b2","sha256:003379844094423a44b2935ce09d98c9209c799883e268d14111737d4cbe4420"],"state_sha256":"394b03aab58a8679b5b56ee894c99d080ac9afb6e75f692d8bbe366a931b8ffe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nGqNMvxEjVKZ3rahgcZo7oHPYMjYB2HFJCqP/eUSVjOXmVRNrsTjya+I9U8OS4xuTQhSK68Vhx4Z/Hf2X0tkCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:24:40.966873Z","bundle_sha256":"20c98f8b75fbf13a93ef4b92ca27a831cf9228e76d5c5b6f2e4cd28c30cd5e66"}}