{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GUF6HXVBYCIXXTM2ZPTPIDUUZ5","short_pith_number":"pith:GUF6HXVB","canonical_record":{"source":{"id":"1902.06284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-17T16:12:42Z","cross_cats_sorted":["cs.CY","stat.ML"],"title_canon_sha256":"4e699a6178152cfae5554f84550f2a24d2c475dff145aee3e147dfc98f23d7d8","abstract_canon_sha256":"3b5de9229ac0235ff576cf2dcedcf9ae4618b3e12199ac38140b149761d6ce8a"},"schema_version":"1.0"},"canonical_sha256":"350be3dea1c0917bcd9acbe6f40e94cf52dab4d4b3cfb95eda67221dbc23d525","source":{"kind":"arxiv","id":"1902.06284","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06284","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06284v1","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06284","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"pith_short_12","alias_value":"GUF6HXVBYCIX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GUF6HXVBYCIXXTM2","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GUF6HXVB","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GUF6HXVBYCIXXTM2ZPTPIDUUZ5","target":"record","payload":{"canonical_record":{"source":{"id":"1902.06284","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-17T16:12:42Z","cross_cats_sorted":["cs.CY","stat.ML"],"title_canon_sha256":"4e699a6178152cfae5554f84550f2a24d2c475dff145aee3e147dfc98f23d7d8","abstract_canon_sha256":"3b5de9229ac0235ff576cf2dcedcf9ae4618b3e12199ac38140b149761d6ce8a"},"schema_version":"1.0"},"canonical_sha256":"350be3dea1c0917bcd9acbe6f40e94cf52dab4d4b3cfb95eda67221dbc23d525","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:45.998603Z","signature_b64":"nYrXxLmaaEHuPGmYxRRY/+0K4u/a1Y2Ot64XtGsotaDMuG1fLOEmy7DE814iLL7R2HEzdHLJ6xrEjIx++7hrBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"350be3dea1c0917bcd9acbe6f40e94cf52dab4d4b3cfb95eda67221dbc23d525","last_reissued_at":"2026-05-17T23:53:45.998102Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:45.998102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.06284","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":"2026-05-17T23:53:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vqGKDcWxkXhJGfpytseikV2lD1jgxARkzMoz6Gi8AB5khtx1x4YYCvq4cuitak49KLxjMva98gyYJYw3LqD3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T02:38:28.612251Z"},"content_sha256":"c193ddd6372a3560a5e41e793b52ef45adbd7e2f1b3d4256c38a89a5e03ad7ff","schema_version":"1.0","event_id":"sha256:c193ddd6372a3560a5e41e793b52ef45adbd7e2f1b3d4256c38a89a5e03ad7ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GUF6HXVBYCIXXTM2ZPTPIDUUZ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A semi-supervised deep residual network for mode detection in Wi-Fi signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","stat.ML"],"primary_cat":"cs.LG","authors_text":"Arash Kalatian, Bilal Farooq","submitted_at":"2019-02-17T16:12:42Z","abstract_excerpt":"Due to their ubiquitous and pervasive nature, Wi-Fi networks have the potential to collect large-scale, low-cost, and disaggregate data on multimodal transportation. In this study, we develop a semi-supervised deep residual network (ResNet) framework to utilize Wi-Fi communications obtained from smartphones for the purpose of transportation mode detection. This framework is evaluated on data collected by Wi-Fi sensors located in a congested urban area in downtown Toronto. To tackle the intrinsic difficulties and costs associated with labelled data collection, we utilize ample amount of easily "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06284","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":"2026-05-17T23:53:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GkmMys3cUKdWbdXRS0T2uWKQFijj5LOuTHI7+B2J/EXIUf90wuJLM11e4kncS5l2hk3slElXGrPnUCcmLTgqDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T02:38:28.612655Z"},"content_sha256":"7ee187135a41bbeb1c34a0ea30bc85d47ebbdcbd13a47cfffc410dab2cf5bb62","schema_version":"1.0","event_id":"sha256:7ee187135a41bbeb1c34a0ea30bc85d47ebbdcbd13a47cfffc410dab2cf5bb62"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/bundle.json","state_url":"https://pith.science/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/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":"2026-06-11T02:38:28Z","links":{"resolver":"https://pith.science/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5","bundle":"https://pith.science/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/bundle.json","state":"https://pith.science/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GUF6HXVBYCIXXTM2ZPTPIDUUZ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GUF6HXVBYCIXXTM2ZPTPIDUUZ5","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":"3b5de9229ac0235ff576cf2dcedcf9ae4618b3e12199ac38140b149761d6ce8a","cross_cats_sorted":["cs.CY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-17T16:12:42Z","title_canon_sha256":"4e699a6178152cfae5554f84550f2a24d2c475dff145aee3e147dfc98f23d7d8"},"schema_version":"1.0","source":{"id":"1902.06284","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06284","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06284v1","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06284","created_at":"2026-05-17T23:53:45Z"},{"alias_kind":"pith_short_12","alias_value":"GUF6HXVBYCIX","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GUF6HXVBYCIXXTM2","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GUF6HXVB","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:7ee187135a41bbeb1c34a0ea30bc85d47ebbdcbd13a47cfffc410dab2cf5bb62","target":"graph","created_at":"2026-05-17T23:53:45Z","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":"Due to their ubiquitous and pervasive nature, Wi-Fi networks have the potential to collect large-scale, low-cost, and disaggregate data on multimodal transportation. In this study, we develop a semi-supervised deep residual network (ResNet) framework to utilize Wi-Fi communications obtained from smartphones for the purpose of transportation mode detection. This framework is evaluated on data collected by Wi-Fi sensors located in a congested urban area in downtown Toronto. To tackle the intrinsic difficulties and costs associated with labelled data collection, we utilize ample amount of easily ","authors_text":"Arash Kalatian, Bilal Farooq","cross_cats":["cs.CY","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-17T16:12:42Z","title":"A semi-supervised deep residual network for mode detection in Wi-Fi signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06284","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:c193ddd6372a3560a5e41e793b52ef45adbd7e2f1b3d4256c38a89a5e03ad7ff","target":"record","created_at":"2026-05-17T23:53:45Z","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":"3b5de9229ac0235ff576cf2dcedcf9ae4618b3e12199ac38140b149761d6ce8a","cross_cats_sorted":["cs.CY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-17T16:12:42Z","title_canon_sha256":"4e699a6178152cfae5554f84550f2a24d2c475dff145aee3e147dfc98f23d7d8"},"schema_version":"1.0","source":{"id":"1902.06284","kind":"arxiv","version":1}},"canonical_sha256":"350be3dea1c0917bcd9acbe6f40e94cf52dab4d4b3cfb95eda67221dbc23d525","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"350be3dea1c0917bcd9acbe6f40e94cf52dab4d4b3cfb95eda67221dbc23d525","first_computed_at":"2026-05-17T23:53:45.998102Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:45.998102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nYrXxLmaaEHuPGmYxRRY/+0K4u/a1Y2Ot64XtGsotaDMuG1fLOEmy7DE814iLL7R2HEzdHLJ6xrEjIx++7hrBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:45.998603Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.06284","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c193ddd6372a3560a5e41e793b52ef45adbd7e2f1b3d4256c38a89a5e03ad7ff","sha256:7ee187135a41bbeb1c34a0ea30bc85d47ebbdcbd13a47cfffc410dab2cf5bb62"],"state_sha256":"a91812a5aa8b9a01b255aae5adb143158f2882ca210ba0a67eb47b3a13f82472"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K0lcNfmt1YnBMM9sS7BUPng8vNBgNBEOXpgKRPRKQIJn4KoiPpp78vpqqRBb7A0vA9Ly7+tAVrJoc75zi571Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T02:38:28.615267Z","bundle_sha256":"f57b89a00df3a7f74fa17a5d495457592f847040d6d307b984c3bc012d738587"}}