{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PRDTOVKSHE2GGMMG43ZK25VWS5","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":"874045c14306f808375126b2fd847a40f001b2c0f19ab55739b1c5b7e8c392b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-14T15:30:17Z","title_canon_sha256":"559bbf0f9600a0cd85040a7d759d95671491227229e38460353d11801e6b3dbe"},"schema_version":"1.0","source":{"id":"2311.08245","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08245","created_at":"2026-07-05T07:12:42Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08245v1","created_at":"2026-07-05T07:12:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08245","created_at":"2026-07-05T07:12:42Z"},{"alias_kind":"pith_short_12","alias_value":"PRDTOVKSHE2G","created_at":"2026-07-05T07:12:42Z"},{"alias_kind":"pith_short_16","alias_value":"PRDTOVKSHE2GGMMG","created_at":"2026-07-05T07:12:42Z"},{"alias_kind":"pith_short_8","alias_value":"PRDTOVKS","created_at":"2026-07-05T07:12:42Z"}],"graph_snapshots":[{"event_id":"sha256:55a79508e72651693c6e5e4ea4923a978516d4a594bb5d66b926bf48e7716872","target":"graph","created_at":"2026-07-05T07:12:42Z","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/2311.08245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent achievements in language models have showcased their extraordinary capabilities in bridging visual information with semantic language understanding. This leads us to a novel question: can language models connect textual semantics with IoT sensory signals to perform recognition tasks, e.g., Human Activity Recognition (HAR)? If so, an intelligent HAR system with human-like cognition can be built, capable of adapting to new environments and unseen categories. This paper explores its feasibility with an innovative approach, IoT-sEnsors-language alignmEnt pre-Training (TENT), which jointly a","authors_text":"Han Zou, Jianfei Yang, Lihua Xie, Yunjiao Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-14T15:30:17Z","title":"TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08245","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:fd07530d03e13d029d0a30db332735966e3e352f3a8a8f0e09b48ca32f86167b","target":"record","created_at":"2026-07-05T07:12:42Z","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":"874045c14306f808375126b2fd847a40f001b2c0f19ab55739b1c5b7e8c392b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-14T15:30:17Z","title_canon_sha256":"559bbf0f9600a0cd85040a7d759d95671491227229e38460353d11801e6b3dbe"},"schema_version":"1.0","source":{"id":"2311.08245","kind":"arxiv","version":1}},"canonical_sha256":"7c473755523934633186e6f2ad76b6976b37f38e4591a194c3a8c44483e107f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c473755523934633186e6f2ad76b6976b37f38e4591a194c3a8c44483e107f1","first_computed_at":"2026-07-05T07:12:42.299039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:42.299039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6HthFwoVaRvaJ8SlaWR2YGb2S9cEZMbq93nbO4idBm9Sp2KPWECQADPaqkoGuh3RKWLnX24qmYVRChuGsbegBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:42.299463Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.08245","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd07530d03e13d029d0a30db332735966e3e352f3a8a8f0e09b48ca32f86167b","sha256:55a79508e72651693c6e5e4ea4923a978516d4a594bb5d66b926bf48e7716872"],"state_sha256":"2f62b40ac2a867aeb314a195f13b860998e9338621505d5b3026ac6fee674d77"}