{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PU2LQFGV6BMX3AUAVC7HYIKOMF","short_pith_number":"pith:PU2LQFGV","canonical_record":{"source":{"id":"2410.00349","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-01T02:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"075621063404f5c79ec8fc75d6853286d576e93a007fa23b461ebc1822912c2d","abstract_canon_sha256":"c90445ceceae86990716094d990a5877ac9d5272d6e5f18a4bba66565785d774"},"schema_version":"1.0"},"canonical_sha256":"7d34b814d5f0597d8280a8be7c214e615d94011751b405e8f21700d6071e45c3","source":{"kind":"arxiv","id":"2410.00349","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00349","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00349v1","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00349","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"PU2LQFGV6BMX","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"PU2LQFGV6BMX3AUA","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"PU2LQFGV","created_at":"2026-07-05T09:14:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PU2LQFGV6BMX3AUAVC7HYIKOMF","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00349","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-01T02:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"075621063404f5c79ec8fc75d6853286d576e93a007fa23b461ebc1822912c2d","abstract_canon_sha256":"c90445ceceae86990716094d990a5877ac9d5272d6e5f18a4bba66565785d774"},"schema_version":"1.0"},"canonical_sha256":"7d34b814d5f0597d8280a8be7c214e615d94011751b405e8f21700d6071e45c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:03.519366Z","signature_b64":"69jn4CgjhGAClnYEgVKrQR9hDOPalsZB0OUmDT4LUN5oLS/kkO9YdFmSNq1+BlwH08kV08JoqCUTGWLaK1U3Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d34b814d5f0597d8280a8be7c214e615d94011751b405e8f21700d6071e45c3","last_reissued_at":"2026-07-05T09:14:03.518964Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:03.518964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00349","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":"2026-07-05T09:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EkuaH4vSe/w6G+AX2SfB8xCzbZqhXzR4SW3EJdYjez1ozdRwazq9Wdt/PtNI1p6VnGG67U+u/NV9KHbKGS0iDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:31:30.352831Z"},"content_sha256":"28d3d817ae435334d44f5321ed0cdf685512b8500461ba8b6f938b6c3dbf50fc","schema_version":"1.0","event_id":"sha256:28d3d817ae435334d44f5321ed0cdf685512b8500461ba8b6f938b6c3dbf50fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PU2LQFGV6BMX3AUAVC7HYIKOMF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Christian Arzate Cruz, Randy Gomez, Takeo Igarashi, Yotam Sechayk","submitted_at":"2024-10-01T02:47:59Z","abstract_excerpt":"Humans use multiple communication channels to interact with each other. For instance, body gestures or facial expressions are commonly used to convey an intent. The use of such non-verbal cues has motivated the development of prediction models. One such approach is predicting arousal and valence (AV) from facial expressions. However, making these models accurate for human-robot interaction (HRI) settings is challenging as it requires handling multiple subjects, challenging conditions, and a wide range of facial expressions. In this paper, we propose a data augmentation (DA) technique to improv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00349","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.00349/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":"2026-07-05T09:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ne3pxl39ocsLKz43Nhquu4E4B6FGi1DF261YJBZLqTh40I9BrtIytGGQfH09Qv8tk/mNC6LTb4grvqNieaYJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:31:30.353453Z"},"content_sha256":"fda515b890a1306fb8b54d0c2fc6c46c241691a06493516e270d64d37722c2a0","schema_version":"1.0","event_id":"sha256:fda515b890a1306fb8b54d0c2fc6c46c241691a06493516e270d64d37722c2a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/bundle.json","state_url":"https://pith.science/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/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":"2026-08-14T11:31:30Z","links":{"resolver":"https://pith.science/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF","bundle":"https://pith.science/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/bundle.json","state":"https://pith.science/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PU2LQFGV6BMX3AUAVC7HYIKOMF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PU2LQFGV6BMX3AUAVC7HYIKOMF","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":"c90445ceceae86990716094d990a5877ac9d5272d6e5f18a4bba66565785d774","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-01T02:47:59Z","title_canon_sha256":"075621063404f5c79ec8fc75d6853286d576e93a007fa23b461ebc1822912c2d"},"schema_version":"1.0","source":{"id":"2410.00349","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00349","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00349v1","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00349","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"PU2LQFGV6BMX","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"PU2LQFGV6BMX3AUA","created_at":"2026-07-05T09:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"PU2LQFGV","created_at":"2026-07-05T09:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:fda515b890a1306fb8b54d0c2fc6c46c241691a06493516e270d64d37722c2a0","target":"graph","created_at":"2026-07-05T09:14:03Z","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/2410.00349/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans use multiple communication channels to interact with each other. For instance, body gestures or facial expressions are commonly used to convey an intent. The use of such non-verbal cues has motivated the development of prediction models. One such approach is predicting arousal and valence (AV) from facial expressions. However, making these models accurate for human-robot interaction (HRI) settings is challenging as it requires handling multiple subjects, challenging conditions, and a wide range of facial expressions. In this paper, we propose a data augmentation (DA) technique to improv","authors_text":"Christian Arzate Cruz, Randy Gomez, Takeo Igarashi, Yotam Sechayk","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-01T02:47:59Z","title":"Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00349","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":"sha256:28d3d817ae435334d44f5321ed0cdf685512b8500461ba8b6f938b6c3dbf50fc","target":"record","created_at":"2026-07-05T09:14:03Z","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":"c90445ceceae86990716094d990a5877ac9d5272d6e5f18a4bba66565785d774","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-10-01T02:47:59Z","title_canon_sha256":"075621063404f5c79ec8fc75d6853286d576e93a007fa23b461ebc1822912c2d"},"schema_version":"1.0","source":{"id":"2410.00349","kind":"arxiv","version":1}},"canonical_sha256":"7d34b814d5f0597d8280a8be7c214e615d94011751b405e8f21700d6071e45c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d34b814d5f0597d8280a8be7c214e615d94011751b405e8f21700d6071e45c3","first_computed_at":"2026-07-05T09:14:03.518964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:03.518964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"69jn4CgjhGAClnYEgVKrQR9hDOPalsZB0OUmDT4LUN5oLS/kkO9YdFmSNq1+BlwH08kV08JoqCUTGWLaK1U3Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:03.519366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00349","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28d3d817ae435334d44f5321ed0cdf685512b8500461ba8b6f938b6c3dbf50fc","sha256:fda515b890a1306fb8b54d0c2fc6c46c241691a06493516e270d64d37722c2a0"],"state_sha256":"a8def0976a05baef23390ab50d0b658c8b83899b32a3554143842e0923a99375"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c40NhpiFr5A27+e9+UZkR6zQo6kCb18u+H8Sg0f8ArMrXvEPdpMY9l5YW3XFctKC3KOpPwyKbSzxmPeeoUNwAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T11:31:30.358741Z","bundle_sha256":"80ba37e8fb28ce9ebd930e8a642769d884f92e50fdfcbf68f922429cb09ba74f"}}