{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6LFFQB5KG2GBZ5KTU7AZ2MNZ7P","short_pith_number":"pith:6LFFQB5K","canonical_record":{"source":{"id":"2510.15221","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-10-17T00:59:43Z","cross_cats_sorted":["cs.CY","cs.LG"],"title_canon_sha256":"39ecdab84e578683aef38dc759802ea845b76805c48bdda82ec3a32ed82b4a33","abstract_canon_sha256":"b39badae630cbac02a0cb982833e129ff14842a83e78468137a352edbd9f00d3"},"schema_version":"1.0"},"canonical_sha256":"f2ca5807aa368c1cf553a7c19d31b9fbc9d496bd8e86cc13a1685dde94c71e03","source":{"kind":"arxiv","id":"2510.15221","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.15221","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"arxiv_version","alias_value":"2510.15221v2","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.15221","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_12","alias_value":"6LFFQB5KG2GB","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_16","alias_value":"6LFFQB5KG2GBZ5KT","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_8","alias_value":"6LFFQB5K","created_at":"2026-05-20T00:02:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6LFFQB5KG2GBZ5KTU7AZ2MNZ7P","target":"record","payload":{"canonical_record":{"source":{"id":"2510.15221","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-10-17T00:59:43Z","cross_cats_sorted":["cs.CY","cs.LG"],"title_canon_sha256":"39ecdab84e578683aef38dc759802ea845b76805c48bdda82ec3a32ed82b4a33","abstract_canon_sha256":"b39badae630cbac02a0cb982833e129ff14842a83e78468137a352edbd9f00d3"},"schema_version":"1.0"},"canonical_sha256":"f2ca5807aa368c1cf553a7c19d31b9fbc9d496bd8e86cc13a1685dde94c71e03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:57.314722Z","signature_b64":"jrrwMCML4b8nDaISi5EuhS4tTZ+Wrddi6Kh1hB3+I6zyoVLaHUGWk7eCiWRYVFKZEbyHA9a9B0ciJDkgXKCOCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2ca5807aa368c1cf553a7c19d31b9fbc9d496bd8e86cc13a1685dde94c71e03","last_reissued_at":"2026-05-20T00:02:57.313803Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:57.313803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.15221","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":"2026-05-20T00:02:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oGsdugbUBLN/Q+9EaV07zUhFuPy7+4K0hpyTQFSq/Dvk/AIxoDGSCbRSvkESVwbLH1f5jvsc8yIFJonIrNmXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T13:03:03.480942Z"},"content_sha256":"780dccb7281620c54ec6ca2710f6b261c92308e8f37e0b27814faef152780e7e","schema_version":"1.0","event_id":"sha256:780dccb7281620c54ec6ca2710f6b261c92308e8f37e0b27814faef152780e7e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6LFFQB5KG2GBZ5KTU7AZ2MNZ7P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WELD: The First Naturalistic Long-Period Small-Team Workplace Emotion Dataset for Ubiquitous Affective Computing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY","cs.LG"],"primary_cat":"cs.AI","authors_text":"Xiao Sun","submitted_at":"2025-10-17T00:59:43Z","abstract_excerpt":"Affective computing has matured rapidly in laboratory settings, yet no prior dataset combines (i) months-to-years of duration, (ii) a naturalistic workplace context, (iii) a stable small-team social structure, and (iv) a fully passive sensing protocol that survives institutional review. We introduce WELD, the first dataset to satisfy all four. WELD comprises 733,780 per-frame seven-class facial-expression probability vectors from 49 employees of a Chinese software company over 30.1 months (Nov 2021 - May 2024) -- the longest naturalistic in-the-wild emotion corpus and the only multi-year corpu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.15221","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/2510.15221/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":"2026-05-20T00:02:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3/MLnGQB2PDtyiPGREgBcx5ZN2qk1IdB/e/SmfgzMXVmeBczzKiwOhR+VoH1uw1qBF6pZflEUfresk6VkDAtAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T13:03:03.481353Z"},"content_sha256":"e870721c745343d06f59d2fca3176f205c3862d3a981196cefe210126e4a8be2","schema_version":"1.0","event_id":"sha256:e870721c745343d06f59d2fca3176f205c3862d3a981196cefe210126e4a8be2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/bundle.json","state_url":"https://pith.science/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/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":"2026-06-04T13:03:03Z","links":{"resolver":"https://pith.science/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P","bundle":"https://pith.science/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/bundle.json","state":"https://pith.science/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6LFFQB5KG2GBZ5KTU7AZ2MNZ7P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6LFFQB5KG2GBZ5KTU7AZ2MNZ7P","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":"b39badae630cbac02a0cb982833e129ff14842a83e78468137a352edbd9f00d3","cross_cats_sorted":["cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-10-17T00:59:43Z","title_canon_sha256":"39ecdab84e578683aef38dc759802ea845b76805c48bdda82ec3a32ed82b4a33"},"schema_version":"1.0","source":{"id":"2510.15221","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.15221","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"arxiv_version","alias_value":"2510.15221v2","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.15221","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_12","alias_value":"6LFFQB5KG2GB","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_16","alias_value":"6LFFQB5KG2GBZ5KT","created_at":"2026-05-20T00:02:57Z"},{"alias_kind":"pith_short_8","alias_value":"6LFFQB5K","created_at":"2026-05-20T00:02:57Z"}],"graph_snapshots":[{"event_id":"sha256:e870721c745343d06f59d2fca3176f205c3862d3a981196cefe210126e4a8be2","target":"graph","created_at":"2026-05-20T00:02:57Z","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/2510.15221/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Affective computing has matured rapidly in laboratory settings, yet no prior dataset combines (i) months-to-years of duration, (ii) a naturalistic workplace context, (iii) a stable small-team social structure, and (iv) a fully passive sensing protocol that survives institutional review. We introduce WELD, the first dataset to satisfy all four. WELD comprises 733,780 per-frame seven-class facial-expression probability vectors from 49 employees of a Chinese software company over 30.1 months (Nov 2021 - May 2024) -- the longest naturalistic in-the-wild emotion corpus and the only multi-year corpu","authors_text":"Xiao Sun","cross_cats":["cs.CY","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-10-17T00:59:43Z","title":"WELD: The First Naturalistic Long-Period Small-Team Workplace Emotion Dataset for Ubiquitous Affective Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.15221","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":"sha256:780dccb7281620c54ec6ca2710f6b261c92308e8f37e0b27814faef152780e7e","target":"record","created_at":"2026-05-20T00:02:57Z","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":"b39badae630cbac02a0cb982833e129ff14842a83e78468137a352edbd9f00d3","cross_cats_sorted":["cs.CY","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-10-17T00:59:43Z","title_canon_sha256":"39ecdab84e578683aef38dc759802ea845b76805c48bdda82ec3a32ed82b4a33"},"schema_version":"1.0","source":{"id":"2510.15221","kind":"arxiv","version":2}},"canonical_sha256":"f2ca5807aa368c1cf553a7c19d31b9fbc9d496bd8e86cc13a1685dde94c71e03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2ca5807aa368c1cf553a7c19d31b9fbc9d496bd8e86cc13a1685dde94c71e03","first_computed_at":"2026-05-20T00:02:57.313803Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:57.313803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jrrwMCML4b8nDaISi5EuhS4tTZ+Wrddi6Kh1hB3+I6zyoVLaHUGWk7eCiWRYVFKZEbyHA9a9B0ciJDkgXKCOCg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:57.314722Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.15221","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:780dccb7281620c54ec6ca2710f6b261c92308e8f37e0b27814faef152780e7e","sha256:e870721c745343d06f59d2fca3176f205c3862d3a981196cefe210126e4a8be2"],"state_sha256":"9db5083412ed5f9893afa49780a394a85acbdf9e93ae81fe552c61c9d58ff8aa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n/UXvxS/yTwuE3/Y7YZIH7zKV12Vu/FhavqbtqmTrCxTHA85FlUi2tNmsPCrzQVhvyHnucv8AsjnAAX7aqiTDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T13:03:03.483483Z","bundle_sha256":"ae9442f6b2b9759e03354b1d02ae901150200b6f75b253d21508a24d6130587b"}}