{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GX5CFTOABHT72M3F6C5Y57Z7EK","short_pith_number":"pith:GX5CFTOA","canonical_record":{"source":{"id":"2502.12923","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T15:03:17Z","cross_cats_sorted":[],"title_canon_sha256":"bd4b5d38e6d76d858d94bcadc74832a60265e6d6ba2a1d93d8ff2a08a3f982b8","abstract_canon_sha256":"0c2dee4197214fd15a890827f931192660bf20acaae0200bbb8be8be5351a441"},"schema_version":"1.0"},"canonical_sha256":"35fa22cdc009e7fd3365f0bb8eff3f22b4b181ac553e7bcafa1bf99826350718","source":{"kind":"arxiv","id":"2502.12923","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12923","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12923v2","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12923","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_12","alias_value":"GX5CFTOABHT7","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_16","alias_value":"GX5CFTOABHT72M3F","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_8","alias_value":"GX5CFTOA","created_at":"2026-07-05T10:36:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GX5CFTOABHT72M3F6C5Y57Z7EK","target":"record","payload":{"canonical_record":{"source":{"id":"2502.12923","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T15:03:17Z","cross_cats_sorted":[],"title_canon_sha256":"bd4b5d38e6d76d858d94bcadc74832a60265e6d6ba2a1d93d8ff2a08a3f982b8","abstract_canon_sha256":"0c2dee4197214fd15a890827f931192660bf20acaae0200bbb8be8be5351a441"},"schema_version":"1.0"},"canonical_sha256":"35fa22cdc009e7fd3365f0bb8eff3f22b4b181ac553e7bcafa1bf99826350718","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:36.406071Z","signature_b64":"f5WJLS+lZkn2TLnLfIUQ0rblgdgAb9WhVpA7DjNbcs8lIWy7pm0m6d/dtlhwXaW47Xb46N+pKq3PZzIwR7MeDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35fa22cdc009e7fd3365f0bb8eff3f22b4b181ac553e7bcafa1bf99826350718","last_reissued_at":"2026-07-05T10:36:36.405085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:36.405085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.12923","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":"2026-07-05T10:36:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9NHVeOQ4uPF5/hb1wMdDyFMXvxdiKrtU+6AGXRLNSl+2NoLeHG5GBlOYpQFiWtTEtumSurZTOm5HJl2b+yB3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:09:02.519807Z"},"content_sha256":"93f912f691c7b91bb5642e57e4ab7e85787c0309a0ee7e51e763b8644f793d05","schema_version":"1.0","event_id":"sha256:93f912f691c7b91bb5642e57e4ab7e85787c0309a0ee7e51e763b8644f793d05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GX5CFTOABHT72M3F6C5Y57Z7EK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Esben Hofstedt Norvin, Johannes Bjerva, Mike Zhang, Nathan M{\\o}rkeberg Reece, Rune Birkmose","submitted_at":"2025-02-18T15:03:17Z","abstract_excerpt":"This paper investigates whether Large Language Models (LLMs), fine-tuned on synthetic but domain-representative data, can perform the twofold task of (i) slot and intent detection and (ii) natural language response generation for a smart home assistant, while running solely on resource-limited, CPU-only edge hardware. We fine-tune LLMs to produce both JSON action calls and text responses. Our experiments show that 16-bit and 8-bit quantized variants preserve high accuracy on slot and intent detection and maintain strong semantic coherence in generated text, while the 4-bit model, while retaini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12923","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/2502.12923/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":"2026-07-05T10:36:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"STLT3yGzQvvqnWe8WN5MiweZfV1pOHjCxjp+yQbh2qDndJeuyFpaKmotK3a/aHKEPAbOU7H2sUou8f1ppvhCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:09:02.520312Z"},"content_sha256":"a697fb8ffb329ef3cb69fbc9e5a5f9fa18c54fa113fd104cd495c38f5fdead6b","schema_version":"1.0","event_id":"sha256:a697fb8ffb329ef3cb69fbc9e5a5f9fa18c54fa113fd104cd495c38f5fdead6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/bundle.json","state_url":"https://pith.science/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/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":"2026-08-07T17:09:02Z","links":{"resolver":"https://pith.science/pith/GX5CFTOABHT72M3F6C5Y57Z7EK","bundle":"https://pith.science/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/bundle.json","state":"https://pith.science/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GX5CFTOABHT72M3F6C5Y57Z7EK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GX5CFTOABHT72M3F6C5Y57Z7EK","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":"0c2dee4197214fd15a890827f931192660bf20acaae0200bbb8be8be5351a441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T15:03:17Z","title_canon_sha256":"bd4b5d38e6d76d858d94bcadc74832a60265e6d6ba2a1d93d8ff2a08a3f982b8"},"schema_version":"1.0","source":{"id":"2502.12923","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12923","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12923v2","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12923","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_12","alias_value":"GX5CFTOABHT7","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_16","alias_value":"GX5CFTOABHT72M3F","created_at":"2026-07-05T10:36:36Z"},{"alias_kind":"pith_short_8","alias_value":"GX5CFTOA","created_at":"2026-07-05T10:36:36Z"}],"graph_snapshots":[{"event_id":"sha256:a697fb8ffb329ef3cb69fbc9e5a5f9fa18c54fa113fd104cd495c38f5fdead6b","target":"graph","created_at":"2026-07-05T10:36:36Z","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/2502.12923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates whether Large Language Models (LLMs), fine-tuned on synthetic but domain-representative data, can perform the twofold task of (i) slot and intent detection and (ii) natural language response generation for a smart home assistant, while running solely on resource-limited, CPU-only edge hardware. We fine-tune LLMs to produce both JSON action calls and text responses. Our experiments show that 16-bit and 8-bit quantized variants preserve high accuracy on slot and intent detection and maintain strong semantic coherence in generated text, while the 4-bit model, while retaini","authors_text":"Esben Hofstedt Norvin, Johannes Bjerva, Mike Zhang, Nathan M{\\o}rkeberg Reece, Rune Birkmose","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T15:03:17Z","title":"On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12923","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":"sha256:93f912f691c7b91bb5642e57e4ab7e85787c0309a0ee7e51e763b8644f793d05","target":"record","created_at":"2026-07-05T10:36:36Z","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":"0c2dee4197214fd15a890827f931192660bf20acaae0200bbb8be8be5351a441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-18T15:03:17Z","title_canon_sha256":"bd4b5d38e6d76d858d94bcadc74832a60265e6d6ba2a1d93d8ff2a08a3f982b8"},"schema_version":"1.0","source":{"id":"2502.12923","kind":"arxiv","version":2}},"canonical_sha256":"35fa22cdc009e7fd3365f0bb8eff3f22b4b181ac553e7bcafa1bf99826350718","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35fa22cdc009e7fd3365f0bb8eff3f22b4b181ac553e7bcafa1bf99826350718","first_computed_at":"2026-07-05T10:36:36.405085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:36.405085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f5WJLS+lZkn2TLnLfIUQ0rblgdgAb9WhVpA7DjNbcs8lIWy7pm0m6d/dtlhwXaW47Xb46N+pKq3PZzIwR7MeDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:36.406071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12923","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93f912f691c7b91bb5642e57e4ab7e85787c0309a0ee7e51e763b8644f793d05","sha256:a697fb8ffb329ef3cb69fbc9e5a5f9fa18c54fa113fd104cd495c38f5fdead6b"],"state_sha256":"8c972dcb463d8636751a5982c258b8c143c19eadb6f828417a296b081bdf36d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zi1p2HIJt7EpAR0umollrQfp0lQaW2I0A9KZXmwDRRY1TkJUDVy7r2Ge7VYhO+OgxqDzKOcB4DT/j1WUdo3oDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:09:02.524684Z","bundle_sha256":"8bd5428f410ebe27a56aff0ddc5e6e1fd883177728482704ef8affeb759ab933"}}