{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AAAOAM5C6FTBXWEYVXRK5ZPTCR","short_pith_number":"pith:AAAOAM5C","canonical_record":{"source":{"id":"1811.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"774c33edae8d9cc1c28e9318fbc37cc3bc0afb314f3982047c333e323527d087","abstract_canon_sha256":"517496a28ed47a73d57cccd5517477c0ac293ce32c83edbfd1de0e22ab1bf61e"},"schema_version":"1.0"},"canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","source":{"kind":"arxiv","id":"1811.08006","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08006","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08006v1","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08006","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"pith_short_12","alias_value":"AAAOAM5C6FTB","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AAAOAM5C6FTBXWEY","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AAAOAM5C","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AAAOAM5C6FTBXWEYVXRK5ZPTCR","target":"record","payload":{"canonical_record":{"source":{"id":"1811.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"774c33edae8d9cc1c28e9318fbc37cc3bc0afb314f3982047c333e323527d087","abstract_canon_sha256":"517496a28ed47a73d57cccd5517477c0ac293ce32c83edbfd1de0e22ab1bf61e"},"schema_version":"1.0"},"canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:17.147615Z","signature_b64":"iCZeZBYrXupdo7P8jkBys1yoWVgdxsojcMuGYCL3wZ2tgbLVTC4cf53RnW0uNkWsXcMkOVomtGoqTn26VFn+DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","last_reissued_at":"2026-05-18T00:00:17.146970Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:17.146970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.08006","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":"2026-05-18T00:00:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xhyqkb1biUiJhUORpmRo8L7vs2e24+vQG4vPCOArC+qqym5klchk9IxBfblhdVv65jcsVCukm4eHloZCPPZ6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T12:53:29.185781Z"},"content_sha256":"c776658abc4ce3eafc1706684d080482a8c416df2b60a0ed603cfd2715a0b423","schema_version":"1.0","event_id":"sha256:c776658abc4ce3eafc1706684d080482a8c416df2b60a0ed603cfd2715a0b423"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AAAOAM5C6FTBXWEYVXRK5ZPTCR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.HC","authors_text":"Anders Hedman, Bin Yang, Haibo Li, Luc Van Gool, Thomas Olofsson, Xiaogang Cheng","submitted_at":"2018-11-12T18:24:48Z","abstract_excerpt":"Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A non-invasive measuring method based on subtleness magnification and deep learning (NIDL) was designed to achieve a comfortable, energy efficient built environment. The method relies on skin feature data, e.g., subtle motion and texture variation, and a 315-layer deep neural network for constructing the relationship between skin features and skin temperature. A physiological experiment was conducted for collecting feature data (1.44 million) and algorithm validation. The non-inva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08006","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":"2026-05-18T00:00:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"py5QMxe7Z2lQ24VMWqgFbOXoYZB+GmwtmaB1RwGgUGve0hOtwe473DrLPtXc08KrUzTo44MC11CFSQr/M+4kDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T12:53:29.186202Z"},"content_sha256":"03ce75858d0d8921bbd42a11a0e15f99305a1f405cdbf64902b1bb251215a96e","schema_version":"1.0","event_id":"sha256:03ce75858d0d8921bbd42a11a0e15f99305a1f405cdbf64902b1bb251215a96e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/bundle.json","state_url":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/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":"2026-05-24T12:53:29Z","links":{"resolver":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR","bundle":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/bundle.json","state":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AAAOAM5C6FTBXWEYVXRK5ZPTCR","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":"517496a28ed47a73d57cccd5517477c0ac293ce32c83edbfd1de0e22ab1bf61e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","title_canon_sha256":"774c33edae8d9cc1c28e9318fbc37cc3bc0afb314f3982047c333e323527d087"},"schema_version":"1.0","source":{"id":"1811.08006","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.08006","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"arxiv_version","alias_value":"1811.08006v1","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08006","created_at":"2026-05-18T00:00:17Z"},{"alias_kind":"pith_short_12","alias_value":"AAAOAM5C6FTB","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AAAOAM5C6FTBXWEY","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AAAOAM5C","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:03ce75858d0d8921bbd42a11a0e15f99305a1f405cdbf64902b1bb251215a96e","target":"graph","created_at":"2026-05-18T00:00:17Z","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":"Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A non-invasive measuring method based on subtleness magnification and deep learning (NIDL) was designed to achieve a comfortable, energy efficient built environment. The method relies on skin feature data, e.g., subtle motion and texture variation, and a 315-layer deep neural network for constructing the relationship between skin features and skin temperature. A physiological experiment was conducted for collecting feature data (1.44 million) and algorithm validation. The non-inva","authors_text":"Anders Hedman, Bin Yang, Haibo Li, Luc Van Gool, Thomas Olofsson, Xiaogang Cheng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","title":"Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08006","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:c776658abc4ce3eafc1706684d080482a8c416df2b60a0ed603cfd2715a0b423","target":"record","created_at":"2026-05-18T00:00:17Z","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":"517496a28ed47a73d57cccd5517477c0ac293ce32c83edbfd1de0e22ab1bf61e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","title_canon_sha256":"774c33edae8d9cc1c28e9318fbc37cc3bc0afb314f3982047c333e323527d087"},"schema_version":"1.0","source":{"id":"1811.08006","kind":"arxiv","version":1}},"canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","first_computed_at":"2026-05-18T00:00:17.146970Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:17.146970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iCZeZBYrXupdo7P8jkBys1yoWVgdxsojcMuGYCL3wZ2tgbLVTC4cf53RnW0uNkWsXcMkOVomtGoqTn26VFn+DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:17.147615Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.08006","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c776658abc4ce3eafc1706684d080482a8c416df2b60a0ed603cfd2715a0b423","sha256:03ce75858d0d8921bbd42a11a0e15f99305a1f405cdbf64902b1bb251215a96e"],"state_sha256":"e85818e75ea77bf5fcefdf3b5ce240b5028105f5122a75036c1b05fd7c14827e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aVGDTwg/u5YZnSi4mKdbHyC4j90hvy1SK9YyTuet2jHhnR+XzgvpQY95wdECCZLY84sn693aZv2vRu4Z9KoqAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T12:53:29.189230Z","bundle_sha256":"58f59b39de9e9c5d82f20980a77682d81ac240c5d090e42151be19678b1fc501"}}