{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:D2E56NC2KQIW4CVSDCEVSM5ALV","short_pith_number":"pith:D2E56NC2","canonical_record":{"source":{"id":"1503.07628","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.NI","submitted_at":"2015-03-26T05:32:23Z","cross_cats_sorted":[],"title_canon_sha256":"9ffce27141dac44023c60eeb718022ea9c3975562a35093d1f742117255ef7ee","abstract_canon_sha256":"8aa08f7e72443ba987578253408a1d71f6c615a8eb3fad0a61c8dcc045d46022"},"schema_version":"1.0"},"canonical_sha256":"1e89df345a54116e0ab218895933a05d772cea59c5c531d7f15cbbdcd19cf105","source":{"kind":"arxiv","id":"1503.07628","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.07628","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"arxiv_version","alias_value":"1503.07628v1","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.07628","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"pith_short_12","alias_value":"D2E56NC2KQIW","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"D2E56NC2KQIW4CVS","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"D2E56NC2","created_at":"2026-05-18T12:29:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:D2E56NC2KQIW4CVSDCEVSM5ALV","target":"record","payload":{"canonical_record":{"source":{"id":"1503.07628","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.NI","submitted_at":"2015-03-26T05:32:23Z","cross_cats_sorted":[],"title_canon_sha256":"9ffce27141dac44023c60eeb718022ea9c3975562a35093d1f742117255ef7ee","abstract_canon_sha256":"8aa08f7e72443ba987578253408a1d71f6c615a8eb3fad0a61c8dcc045d46022"},"schema_version":"1.0"},"canonical_sha256":"1e89df345a54116e0ab218895933a05d772cea59c5c531d7f15cbbdcd19cf105","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:20:19.184473Z","signature_b64":"7kejyyAgSG2GqaYYvjxT3nYCLm92TIJyz6IbI86XBL1EzirzKCXJRFTPbjz5R40awbUMHm8NYSr2ML68nBuJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e89df345a54116e0ab218895933a05d772cea59c5c531d7f15cbbdcd19cf105","last_reissued_at":"2026-05-18T02:20:19.183762Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:20:19.183762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1503.07628","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":"2026-05-18T02:20:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3I01mIV85dIEHW1l7CFes4TDd+cJkXaszXUyZlOT6uebWlvsDzX6bzRTHU5RuQHawVdw3tZnH/aCsSJtl57BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:11:41.330543Z"},"content_sha256":"8ed8d83695f240f971de4d3b75e43b808c203b45975c1cbc25d0dcababf854a1","schema_version":"1.0","event_id":"sha256:8ed8d83695f240f971de4d3b75e43b808c203b45975c1cbc25d0dcababf854a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:D2E56NC2KQIW4CVSDCEVSM5ALV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Indoor Localization Algorithm For Smartphones","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Hong Hu, Kaiqing Zhang, Moe Z. Win, Wenhan Dai, Yuan Shen","submitted_at":"2015-03-26T05:32:23Z","abstract_excerpt":"Increasing sources of sensor measurements and prior knowledge have become available for indoor localization on smartphones. How to effectively utilize these sources for enhancing localization accuracy is an important yet challenging problem. In this paper, we present an area state-aided localization algorithm that exploits various sources of information. Specifically, we introduce the concept of area state to indicate the area where the user is on an indoor map. The position of the user is then estimated using inertial measurement unit (IMU) measurements with the aid of area states. The area s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.07628","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":"2026-05-18T02:20:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U0Z0uguNkZApJvHeEpdbKQmEnFYOzO7+d6MPlpxVNhzKuV+WGFpkMMHDiIGtfFCsOpOQZMHmX0THirx0makYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:11:41.330882Z"},"content_sha256":"c0e913cbc78b8b92cf2c52b363e916f6a981f0ddc01d758837c71e4b00524202","schema_version":"1.0","event_id":"sha256:c0e913cbc78b8b92cf2c52b363e916f6a981f0ddc01d758837c71e4b00524202"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/bundle.json","state_url":"https://pith.science/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/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":"2026-06-06T20:11:41Z","links":{"resolver":"https://pith.science/pith/D2E56NC2KQIW4CVSDCEVSM5ALV","bundle":"https://pith.science/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/bundle.json","state":"https://pith.science/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D2E56NC2KQIW4CVSDCEVSM5ALV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:D2E56NC2KQIW4CVSDCEVSM5ALV","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":"8aa08f7e72443ba987578253408a1d71f6c615a8eb3fad0a61c8dcc045d46022","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.NI","submitted_at":"2015-03-26T05:32:23Z","title_canon_sha256":"9ffce27141dac44023c60eeb718022ea9c3975562a35093d1f742117255ef7ee"},"schema_version":"1.0","source":{"id":"1503.07628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.07628","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"arxiv_version","alias_value":"1503.07628v1","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.07628","created_at":"2026-05-18T02:20:19Z"},{"alias_kind":"pith_short_12","alias_value":"D2E56NC2KQIW","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"D2E56NC2KQIW4CVS","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"D2E56NC2","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:c0e913cbc78b8b92cf2c52b363e916f6a981f0ddc01d758837c71e4b00524202","target":"graph","created_at":"2026-05-18T02:20:19Z","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":"Increasing sources of sensor measurements and prior knowledge have become available for indoor localization on smartphones. How to effectively utilize these sources for enhancing localization accuracy is an important yet challenging problem. In this paper, we present an area state-aided localization algorithm that exploits various sources of information. Specifically, we introduce the concept of area state to indicate the area where the user is on an indoor map. The position of the user is then estimated using inertial measurement unit (IMU) measurements with the aid of area states. The area s","authors_text":"Hong Hu, Kaiqing Zhang, Moe Z. Win, Wenhan Dai, Yuan Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.NI","submitted_at":"2015-03-26T05:32:23Z","title":"Indoor Localization Algorithm For Smartphones"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.07628","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":"sha256:8ed8d83695f240f971de4d3b75e43b808c203b45975c1cbc25d0dcababf854a1","target":"record","created_at":"2026-05-18T02:20:19Z","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":"8aa08f7e72443ba987578253408a1d71f6c615a8eb3fad0a61c8dcc045d46022","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.NI","submitted_at":"2015-03-26T05:32:23Z","title_canon_sha256":"9ffce27141dac44023c60eeb718022ea9c3975562a35093d1f742117255ef7ee"},"schema_version":"1.0","source":{"id":"1503.07628","kind":"arxiv","version":1}},"canonical_sha256":"1e89df345a54116e0ab218895933a05d772cea59c5c531d7f15cbbdcd19cf105","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e89df345a54116e0ab218895933a05d772cea59c5c531d7f15cbbdcd19cf105","first_computed_at":"2026-05-18T02:20:19.183762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:20:19.183762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7kejyyAgSG2GqaYYvjxT3nYCLm92TIJyz6IbI86XBL1EzirzKCXJRFTPbjz5R40awbUMHm8NYSr2ML68nBuJCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:20:19.184473Z","signed_message":"canonical_sha256_bytes"},"source_id":"1503.07628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ed8d83695f240f971de4d3b75e43b808c203b45975c1cbc25d0dcababf854a1","sha256:c0e913cbc78b8b92cf2c52b363e916f6a981f0ddc01d758837c71e4b00524202"],"state_sha256":"476464538f97449d5ad650ecca8c8877fe9a5fe0c7464eee68431d54c3755d05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qJ64LGRp5nV/Ew6Jgm3BLhbkgPDNoAL3cDameXJQd/J/5T8EZnZDnq2puFmw8VaA9fMa51OYV9BmlhmmDUApBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T20:11:41.332907Z","bundle_sha256":"62a410d5e8bd3ce21f7133882c734ad2bdbfdbf6aac172caf9b9e90f68731528"}}