{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:3H5XDMOVZTHW5AS3U2DUH33R5F","short_pith_number":"pith:3H5XDMOV","canonical_record":{"source":{"id":"1712.01990","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-06T01:06:01Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"c611716e7f5b8e0ca86046c2c33a87b5d84e58a232e579baa492f340f404e42f","abstract_canon_sha256":"ff6a958f36ff96fc42bb7417426dc9d0840aa02b36069b3b4b218dd3ed8084a4"},"schema_version":"1.0"},"canonical_sha256":"d9fb71b1d5cccf6e825ba68743ef71e97878fe705f2499d3bb11a42a587f2c86","source":{"kind":"arxiv","id":"1712.01990","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01990","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01990v1","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01990","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"pith_short_12","alias_value":"3H5XDMOVZTHW","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3H5XDMOVZTHW5AS3","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3H5XDMOV","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:3H5XDMOVZTHW5AS3U2DUH33R5F","target":"record","payload":{"canonical_record":{"source":{"id":"1712.01990","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-06T01:06:01Z","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"title_canon_sha256":"c611716e7f5b8e0ca86046c2c33a87b5d84e58a232e579baa492f340f404e42f","abstract_canon_sha256":"ff6a958f36ff96fc42bb7417426dc9d0840aa02b36069b3b4b218dd3ed8084a4"},"schema_version":"1.0"},"canonical_sha256":"d9fb71b1d5cccf6e825ba68743ef71e97878fe705f2499d3bb11a42a587f2c86","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:32.611772Z","signature_b64":"h/mLqKbap0U+0tTl6HkEHFqAaM/7F6ACYDBLlkib1KUSgcED4QRaI8ftfYE7/RawiN6xTcEs5Urqg5/ihbdnAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9fb71b1d5cccf6e825ba68743ef71e97878fe705f2499d3bb11a42a587f2c86","last_reissued_at":"2026-05-18T00:12:32.611113Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:32.611113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.01990","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":"2026-05-18T00:12:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bb4uZ5Pl4TNfH0uW0iTyEf/6J+XwB1DPiQpPS9UEuqPYxlNWKiAmSBoROrUNNSEI+VhMv9xUhkWMY5TblbrDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T13:19:51.587968Z"},"content_sha256":"166b7087db4110e57b32029967f0e2df64e1ef28796f3521d0918e3a2dd05ecb","schema_version":"1.0","event_id":"sha256:166b7087db4110e57b32029967f0e2df64e1ef28796f3521d0918e3a2dd05ecb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:3H5XDMOVZTHW5AS3U2DUH33R5F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","stat.ML"],"primary_cat":"cs.NI","authors_text":"Kaizhu Huang, Kyeong Soo Kim, Sanghyuk Lee","submitted_at":"2017-12-06T01:06:01Z","abstract_excerpt":"One of the key technologies for future large-scale location-aware services covering a complex of multi-story buildings --- e.g., a big shopping mall and a university campus --- is a scalable indoor localization technique. In this paper, we report the current status of our investigation on the use of deep neural networks (DNNs) for scalable building/floor classification and floor-level position estimation based on Wi-Fi fingerprinting. Exploiting the hierarchical nature of the building/floor estimation and floor-level coordinates estimation of a location, we propose a new DNN architecture consi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01990","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":""},"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":"2026-05-18T00:12:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LA7w/EGExSYc4zS7Bp4dRKL0wtVjzaDK+uqKNhAAJyPIo+cI0dIrdanrY79dZi3lPzsqToe02RvyLkFIEDGzCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T13:19:51.588342Z"},"content_sha256":"6412c7464a35bfabaf7fe18b3a330635103bb14e6ea88d575b99feabcdc7cd5e","schema_version":"1.0","event_id":"sha256:6412c7464a35bfabaf7fe18b3a330635103bb14e6ea88d575b99feabcdc7cd5e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/bundle.json","state_url":"https://pith.science/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/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":"2026-06-04T13:19:51Z","links":{"resolver":"https://pith.science/pith/3H5XDMOVZTHW5AS3U2DUH33R5F","bundle":"https://pith.science/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/bundle.json","state":"https://pith.science/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3H5XDMOVZTHW5AS3U2DUH33R5F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3H5XDMOVZTHW5AS3U2DUH33R5F","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":"ff6a958f36ff96fc42bb7417426dc9d0840aa02b36069b3b4b218dd3ed8084a4","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-06T01:06:01Z","title_canon_sha256":"c611716e7f5b8e0ca86046c2c33a87b5d84e58a232e579baa492f340f404e42f"},"schema_version":"1.0","source":{"id":"1712.01990","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.01990","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"arxiv_version","alias_value":"1712.01990v1","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.01990","created_at":"2026-05-18T00:12:32Z"},{"alias_kind":"pith_short_12","alias_value":"3H5XDMOVZTHW","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3H5XDMOVZTHW5AS3","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3H5XDMOV","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:6412c7464a35bfabaf7fe18b3a330635103bb14e6ea88d575b99feabcdc7cd5e","target":"graph","created_at":"2026-05-18T00:12:32Z","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"},"paper":{"abstract_excerpt":"One of the key technologies for future large-scale location-aware services covering a complex of multi-story buildings --- e.g., a big shopping mall and a university campus --- is a scalable indoor localization technique. In this paper, we report the current status of our investigation on the use of deep neural networks (DNNs) for scalable building/floor classification and floor-level position estimation based on Wi-Fi fingerprinting. Exploiting the hierarchical nature of the building/floor estimation and floor-level coordinates estimation of a location, we propose a new DNN architecture consi","authors_text":"Kaizhu Huang, Kyeong Soo Kim, Sanghyuk Lee","cross_cats":["cs.LG","cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-06T01:06:01Z","title":"A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.01990","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":"sha256:166b7087db4110e57b32029967f0e2df64e1ef28796f3521d0918e3a2dd05ecb","target":"record","created_at":"2026-05-18T00:12:32Z","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":"ff6a958f36ff96fc42bb7417426dc9d0840aa02b36069b3b4b218dd3ed8084a4","cross_cats_sorted":["cs.LG","cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-06T01:06:01Z","title_canon_sha256":"c611716e7f5b8e0ca86046c2c33a87b5d84e58a232e579baa492f340f404e42f"},"schema_version":"1.0","source":{"id":"1712.01990","kind":"arxiv","version":1}},"canonical_sha256":"d9fb71b1d5cccf6e825ba68743ef71e97878fe705f2499d3bb11a42a587f2c86","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9fb71b1d5cccf6e825ba68743ef71e97878fe705f2499d3bb11a42a587f2c86","first_computed_at":"2026-05-18T00:12:32.611113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:32.611113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h/mLqKbap0U+0tTl6HkEHFqAaM/7F6ACYDBLlkib1KUSgcED4QRaI8ftfYE7/RawiN6xTcEs5Urqg5/ihbdnAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:32.611772Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.01990","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:166b7087db4110e57b32029967f0e2df64e1ef28796f3521d0918e3a2dd05ecb","sha256:6412c7464a35bfabaf7fe18b3a330635103bb14e6ea88d575b99feabcdc7cd5e"],"state_sha256":"29905ce2b84d4292fb07cb1a17a956d0df790febbcccc5513ad235e58d71405c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ShK3MKW8v8+nbJqkyUsast2tgP5wLt/I+f3tjd7Ed4GdtKh8V8Fh9eLScyxVZXtoUCOjpvYbK8lDG9klI8HyCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T13:19:51.590405Z","bundle_sha256":"111a818443ef1e11c2c38f0622611b30fd51340c18e53ca2c70adcdc52b74966"}}