{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PQTAAXJTPT7H2Q5M5UQSJNBUYD","short_pith_number":"pith:PQTAAXJT","canonical_record":{"source":{"id":"2501.15864","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-27T08:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"19275da17d83d9e1d031a4dc5a537ff777ea4cd1ef8296eb010c718b38766a1c","abstract_canon_sha256":"9bea8fd21c4c8bda499a7b9c07eedc556adbbaa7d13b5c183c45086ab0d82e71"},"schema_version":"1.0"},"canonical_sha256":"7c26005d337cfe7d43aced2124b434c0f6f78a84e4869cbfea7c25a7f3e295ec","source":{"kind":"arxiv","id":"2501.15864","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15864","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15864v2","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15864","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_12","alias_value":"PQTAAXJTPT7H","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_16","alias_value":"PQTAAXJTPT7H2Q5M","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_8","alias_value":"PQTAAXJT","created_at":"2026-07-05T11:45:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PQTAAXJTPT7H2Q5M5UQSJNBUYD","target":"record","payload":{"canonical_record":{"source":{"id":"2501.15864","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-27T08:42:16Z","cross_cats_sorted":[],"title_canon_sha256":"19275da17d83d9e1d031a4dc5a537ff777ea4cd1ef8296eb010c718b38766a1c","abstract_canon_sha256":"9bea8fd21c4c8bda499a7b9c07eedc556adbbaa7d13b5c183c45086ab0d82e71"},"schema_version":"1.0"},"canonical_sha256":"7c26005d337cfe7d43aced2124b434c0f6f78a84e4869cbfea7c25a7f3e295ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:31.058614Z","signature_b64":"RRhNKSlplPwZvc1+zZj2jxTwm6nBK94bD1Z/jAqMwpsLHAiOs0adKaJzqM+bdfnwB07Z+qS3dqYYq9NgRvtcDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c26005d337cfe7d43aced2124b434c0f6f78a84e4869cbfea7c25a7f3e295ec","last_reissued_at":"2026-07-05T11:45:31.058027Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:31.058027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.15864","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":"2026-07-05T11:45:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IC1BInvgycVY9IqQVVw25TRY0FIa+jzhyaQzY/Ch9OTtfiC97i7hElxh771PMEeYNQqJNKz4zpBwtAVn0CYlBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:34:26.088609Z"},"content_sha256":"2ec69bb9710338e4927142f6ed1eed60daab432e1f1d873f519b63b54c101587","schema_version":"1.0","event_id":"sha256:2ec69bb9710338e4927142f6ed1eed60daab432e1f1d873f519b63b54c101587"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PQTAAXJTPT7H2Q5M5UQSJNBUYD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explaining Facial Expression Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Dana Kuli\\'c, Leimin Tian, Mor Vered, Sanjeev Nahulanthran","submitted_at":"2025-01-27T08:42:16Z","abstract_excerpt":"Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utilizing FER in real-world contexts, including ensuring user understanding and establishing a suitable level of user trust. We developed a novel explanation method utilizing Facial Action Units (FAUs) to explain the output of a FER model through both textual and visual modalities. We conducted an empirical user study evaluating user understanding and trust, comparing our approach to state-of-the-art eXplainable AI (XAI) m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15864","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/2501.15864/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":"2026-07-05T11:45:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y75DDKAQtIGzLgGOxILIv6ukTeTk0d3EsCwyYCZLv2F/83tqBzpy4thA7PPbrJ6EWxpE0K78LG3+7RjSKqijCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:34:26.089135Z"},"content_sha256":"26cbd4a819a48c358ac65e93436c56293a99155e9f9ccfa659adb7b326741121","schema_version":"1.0","event_id":"sha256:26cbd4a819a48c358ac65e93436c56293a99155e9f9ccfa659adb7b326741121"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/bundle.json","state_url":"https://pith.science/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/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":"2026-08-10T20:34:26Z","links":{"resolver":"https://pith.science/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD","bundle":"https://pith.science/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/bundle.json","state":"https://pith.science/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PQTAAXJTPT7H2Q5M5UQSJNBUYD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PQTAAXJTPT7H2Q5M5UQSJNBUYD","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":"9bea8fd21c4c8bda499a7b9c07eedc556adbbaa7d13b5c183c45086ab0d82e71","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-27T08:42:16Z","title_canon_sha256":"19275da17d83d9e1d031a4dc5a537ff777ea4cd1ef8296eb010c718b38766a1c"},"schema_version":"1.0","source":{"id":"2501.15864","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15864","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15864v2","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15864","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_12","alias_value":"PQTAAXJTPT7H","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_16","alias_value":"PQTAAXJTPT7H2Q5M","created_at":"2026-07-05T11:45:31Z"},{"alias_kind":"pith_short_8","alias_value":"PQTAAXJT","created_at":"2026-07-05T11:45:31Z"}],"graph_snapshots":[{"event_id":"sha256:26cbd4a819a48c358ac65e93436c56293a99155e9f9ccfa659adb7b326741121","target":"graph","created_at":"2026-07-05T11:45:31Z","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/2501.15864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utilizing FER in real-world contexts, including ensuring user understanding and establishing a suitable level of user trust. We developed a novel explanation method utilizing Facial Action Units (FAUs) to explain the output of a FER model through both textual and visual modalities. We conducted an empirical user study evaluating user understanding and trust, comparing our approach to state-of-the-art eXplainable AI (XAI) m","authors_text":"Dana Kuli\\'c, Leimin Tian, Mor Vered, Sanjeev Nahulanthran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-27T08:42:16Z","title":"Explaining Facial Expression Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15864","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":"sha256:2ec69bb9710338e4927142f6ed1eed60daab432e1f1d873f519b63b54c101587","target":"record","created_at":"2026-07-05T11:45:31Z","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":"9bea8fd21c4c8bda499a7b9c07eedc556adbbaa7d13b5c183c45086ab0d82e71","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-27T08:42:16Z","title_canon_sha256":"19275da17d83d9e1d031a4dc5a537ff777ea4cd1ef8296eb010c718b38766a1c"},"schema_version":"1.0","source":{"id":"2501.15864","kind":"arxiv","version":2}},"canonical_sha256":"7c26005d337cfe7d43aced2124b434c0f6f78a84e4869cbfea7c25a7f3e295ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c26005d337cfe7d43aced2124b434c0f6f78a84e4869cbfea7c25a7f3e295ec","first_computed_at":"2026-07-05T11:45:31.058027Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:31.058027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RRhNKSlplPwZvc1+zZj2jxTwm6nBK94bD1Z/jAqMwpsLHAiOs0adKaJzqM+bdfnwB07Z+qS3dqYYq9NgRvtcDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:31.058614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15864","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ec69bb9710338e4927142f6ed1eed60daab432e1f1d873f519b63b54c101587","sha256:26cbd4a819a48c358ac65e93436c56293a99155e9f9ccfa659adb7b326741121"],"state_sha256":"520c4547abfc55b5860f900441bed568d7d680b7ffbc1608480ca24478ec28a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6PfmjqagouEOj7WmfdXqoHIi5IJdcUzMFV1bfzmNUJTL/RHFk4i1wjAxp1j0xzft0KIGGXlktydRWoagGgG7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:34:26.093259Z","bundle_sha256":"e0bae9753dd8a12c09dcad7ec6403e3a8f39b6c2f3778d91822da3e7b84cde36"}}