{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7H66GL7DQAYFUCXV75XN3EQ3CF","short_pith_number":"pith:7H66GL7D","canonical_record":{"source":{"id":"2107.00389","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-07-01T12:01:34Z","cross_cats_sorted":[],"title_canon_sha256":"a1e9c4df29b0ec99e8f1b0b51afdab2f36d9e683a583a8c594fe213aa6b77a9a","abstract_canon_sha256":"d08bf76f40f048282fa0143ff89262f75edb03314f76028bdb7c02f03b517e00"},"schema_version":"1.0"},"canonical_sha256":"f9fde32fe380305a0af5ff6edd921b117deb46223494d8256bc10544b49d316f","source":{"kind":"arxiv","id":"2107.00389","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.00389","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"arxiv_version","alias_value":"2107.00389v2","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.00389","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_12","alias_value":"7H66GL7DQAYF","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_16","alias_value":"7H66GL7DQAYFUCXV","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_8","alias_value":"7H66GL7D","created_at":"2026-07-05T03:36:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7H66GL7DQAYFUCXV75XN3EQ3CF","target":"record","payload":{"canonical_record":{"source":{"id":"2107.00389","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-07-01T12:01:34Z","cross_cats_sorted":[],"title_canon_sha256":"a1e9c4df29b0ec99e8f1b0b51afdab2f36d9e683a583a8c594fe213aa6b77a9a","abstract_canon_sha256":"d08bf76f40f048282fa0143ff89262f75edb03314f76028bdb7c02f03b517e00"},"schema_version":"1.0"},"canonical_sha256":"f9fde32fe380305a0af5ff6edd921b117deb46223494d8256bc10544b49d316f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:36:07.773164Z","signature_b64":"B13gfOMCEpu5xnaniJozmFkwFsHYLIaNojpj7wToxc7K92CBIkbj2iWEZ/M7OQVer/aEhWAibRxuC2IWVxs3Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9fde32fe380305a0af5ff6edd921b117deb46223494d8256bc10544b49d316f","last_reissued_at":"2026-07-05T03:36:07.772723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:36:07.772723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.00389","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":"2026-07-05T03:36:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LfBzQRgVQ7GBR+45ChHjZjy1RIkmTvD6nbvIgvFm9s/PqJZqOMLwr/I6rYFCNpJfYZ2ordWxSe0iONdQG1wfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T07:12:46.228728Z"},"content_sha256":"6b3318c5e60822ffee47bc57157d0c795e5082b7e690c84598ccff3532e4753c","schema_version":"1.0","event_id":"sha256:6b3318c5e60822ffee47bc57157d0c795e5082b7e690c84598ccff3532e4753c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7H66GL7DQAYFUCXV75XN3EQ3CF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Flora D. Salim, Mohammad Saiedur Rahaman, Nan Gao, Wei Shao","submitted_at":"2021-07-01T12:01:34Z","abstract_excerpt":"Inferring human mental state (e.g., emotion, depression, engagement) with sensing technology is one of the most valuable challenges in the affective computing area, which has a profound impact in all industries interacting with humans. The self-report survey is the most common way to quantify how people think, but prone to subjectivity and various responses bias. It is usually used as the ground truth for human mental state prediction. In recent years, many data-driven machine learning models are built based on self-report annotations as the target value. In this research, we investigate the r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.00389","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/2107.00389/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":"2026-07-05T03:36:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sHwPBA9iSJdJQ5/eF/HLt8ZgNvCj8Eg48nb/dcwAoqAEnEvz+96hNe7b5OlkyQib+gLyrOghPxVldYa0MluXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T07:12:46.229607Z"},"content_sha256":"da640799d1f6a1463d5f928d9a40235f18e19c200e2556c1cb8e60fc65672e20","schema_version":"1.0","event_id":"sha256:da640799d1f6a1463d5f928d9a40235f18e19c200e2556c1cb8e60fc65672e20"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/bundle.json","state_url":"https://pith.science/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/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":"2026-08-01T07:12:46Z","links":{"resolver":"https://pith.science/pith/7H66GL7DQAYFUCXV75XN3EQ3CF","bundle":"https://pith.science/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/bundle.json","state":"https://pith.science/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7H66GL7DQAYFUCXV75XN3EQ3CF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7H66GL7DQAYFUCXV75XN3EQ3CF","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":"d08bf76f40f048282fa0143ff89262f75edb03314f76028bdb7c02f03b517e00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-07-01T12:01:34Z","title_canon_sha256":"a1e9c4df29b0ec99e8f1b0b51afdab2f36d9e683a583a8c594fe213aa6b77a9a"},"schema_version":"1.0","source":{"id":"2107.00389","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.00389","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"arxiv_version","alias_value":"2107.00389v2","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.00389","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_12","alias_value":"7H66GL7DQAYF","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_16","alias_value":"7H66GL7DQAYFUCXV","created_at":"2026-07-05T03:36:07Z"},{"alias_kind":"pith_short_8","alias_value":"7H66GL7D","created_at":"2026-07-05T03:36:07Z"}],"graph_snapshots":[{"event_id":"sha256:da640799d1f6a1463d5f928d9a40235f18e19c200e2556c1cb8e60fc65672e20","target":"graph","created_at":"2026-07-05T03:36:07Z","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/2107.00389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inferring human mental state (e.g., emotion, depression, engagement) with sensing technology is one of the most valuable challenges in the affective computing area, which has a profound impact in all industries interacting with humans. The self-report survey is the most common way to quantify how people think, but prone to subjectivity and various responses bias. It is usually used as the ground truth for human mental state prediction. In recent years, many data-driven machine learning models are built based on self-report annotations as the target value. In this research, we investigate the r","authors_text":"Flora D. Salim, Mohammad Saiedur Rahaman, Nan Gao, Wei Shao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-07-01T12:01:34Z","title":"Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.00389","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":"sha256:6b3318c5e60822ffee47bc57157d0c795e5082b7e690c84598ccff3532e4753c","target":"record","created_at":"2026-07-05T03:36:07Z","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":"d08bf76f40f048282fa0143ff89262f75edb03314f76028bdb7c02f03b517e00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2021-07-01T12:01:34Z","title_canon_sha256":"a1e9c4df29b0ec99e8f1b0b51afdab2f36d9e683a583a8c594fe213aa6b77a9a"},"schema_version":"1.0","source":{"id":"2107.00389","kind":"arxiv","version":2}},"canonical_sha256":"f9fde32fe380305a0af5ff6edd921b117deb46223494d8256bc10544b49d316f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9fde32fe380305a0af5ff6edd921b117deb46223494d8256bc10544b49d316f","first_computed_at":"2026-07-05T03:36:07.772723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:36:07.772723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B13gfOMCEpu5xnaniJozmFkwFsHYLIaNojpj7wToxc7K92CBIkbj2iWEZ/M7OQVer/aEhWAibRxuC2IWVxs3Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T03:36:07.773164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.00389","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b3318c5e60822ffee47bc57157d0c795e5082b7e690c84598ccff3532e4753c","sha256:da640799d1f6a1463d5f928d9a40235f18e19c200e2556c1cb8e60fc65672e20"],"state_sha256":"b61a86156c041b6bda6560c0a2ccc80cd089476d50ee2ba5487886f5ddb872f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ql9LjtCXd5w6qO8Rik21UD2DTLMkKQBo9YQ+7SeUMRnqLAu6Zaw4gj0K8N7aaVWMiiz9QvY9hPigk9zG19V2BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T07:12:46.238890Z","bundle_sha256":"9ae7452fc7b41e32140b7dadd001665ad5eb1762cb267bd5d63bbed658b53852"}}