{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7G45VMM7CGNENZWYUC3FJW5KFE","short_pith_number":"pith:7G45VMM7","canonical_record":{"source":{"id":"2509.05330","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-31T17:20:53Z","cross_cats_sorted":[],"title_canon_sha256":"f600d4ada484e72f678b2e5a4b3b267a75096e16c5f3d22e79a635c6a86004fe","abstract_canon_sha256":"e34eb7cf16a3368d1c3d22853230330c340d560804027adf86bdfd23f9a4919d"},"schema_version":"1.0"},"canonical_sha256":"f9b9dab19f119a46e6d8a0b654dbaa291d28fd8ded53dc3186ebcd15f7a23676","source":{"kind":"arxiv","id":"2509.05330","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05330","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05330v1","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05330","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_12","alias_value":"7G45VMM7CGNE","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_16","alias_value":"7G45VMM7CGNENZWY","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_8","alias_value":"7G45VMM7","created_at":"2026-07-05T12:05:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7G45VMM7CGNENZWYUC3FJW5KFE","target":"record","payload":{"canonical_record":{"source":{"id":"2509.05330","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-31T17:20:53Z","cross_cats_sorted":[],"title_canon_sha256":"f600d4ada484e72f678b2e5a4b3b267a75096e16c5f3d22e79a635c6a86004fe","abstract_canon_sha256":"e34eb7cf16a3368d1c3d22853230330c340d560804027adf86bdfd23f9a4919d"},"schema_version":"1.0"},"canonical_sha256":"f9b9dab19f119a46e6d8a0b654dbaa291d28fd8ded53dc3186ebcd15f7a23676","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:45.069850Z","signature_b64":"f/amXAlefNkma/YDjhhnVWNdToS5fvwk3WXEhgX6QvpOZr63hcIwYAvr3In1EIsHITfzaZrB9wAmoMvRBHbWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9b9dab19f119a46e6d8a0b654dbaa291d28fd8ded53dc3186ebcd15f7a23676","last_reissued_at":"2026-07-05T12:05:45.069328Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:45.069328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.05330","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":"2026-07-05T12:05:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bEk4pKF58Rj37EW04r+RRI6GpdSptkfSxFEP9TeW8IkXbPXmFVAPqORdGw2r1FVgrqBRILybuYVWdVTsa/nhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:57:59.578998Z"},"content_sha256":"7e51c6f110b818d27641b7e10f759e1da1b9c3c374a2675c15d1d525f9f07984","schema_version":"1.0","event_id":"sha256:7e51c6f110b818d27641b7e10f759e1da1b9c3c374a2675c15d1d525f9f07984"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7G45VMM7CGNENZWYUC3FJW5KFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Atiye Ilanloo, Seyed Muhammad Hossein Mousavi","submitted_at":"2025-08-31T17:20:53Z","abstract_excerpt":"Automatic emotion recognition has become increasingly important with the rise of AI, especially in fields like healthcare, education, and automotive systems. However, there is a lack of multimodal datasets, particularly involving body motion and physiological signals, which limits progress in the field. To address this, the MVRS dataset is introduced, featuring synchronized recordings from 13 participants aged 12 to 60 exposed to VR based emotional stimuli (relaxation, fear, stress, sadness, joy). Data were collected using eye tracking (via webcam in a VR headset), body motion (Kinect v2), and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05330","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/2509.05330/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":"2026-07-05T12:05:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3RfcG/grZ7JFkMCV0ydEc7/Nye9cNbagbtz6qlYw/wwqERz89fmrZU6fX0Gb5PLc/W2JvHQOJgFSm02388vSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:57:59.579490Z"},"content_sha256":"df3a5c58843722b96b5a12ec07bde68954f13b587152125e7d8216994ba26d9a","schema_version":"1.0","event_id":"sha256:df3a5c58843722b96b5a12ec07bde68954f13b587152125e7d8216994ba26d9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7G45VMM7CGNENZWYUC3FJW5KFE/bundle.json","state_url":"https://pith.science/pith/7G45VMM7CGNENZWYUC3FJW5KFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7G45VMM7CGNENZWYUC3FJW5KFE/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":"2026-08-09T02:57:59Z","links":{"resolver":"https://pith.science/pith/7G45VMM7CGNENZWYUC3FJW5KFE","bundle":"https://pith.science/pith/7G45VMM7CGNENZWYUC3FJW5KFE/bundle.json","state":"https://pith.science/pith/7G45VMM7CGNENZWYUC3FJW5KFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7G45VMM7CGNENZWYUC3FJW5KFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7G45VMM7CGNENZWYUC3FJW5KFE","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":"e34eb7cf16a3368d1c3d22853230330c340d560804027adf86bdfd23f9a4919d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-31T17:20:53Z","title_canon_sha256":"f600d4ada484e72f678b2e5a4b3b267a75096e16c5f3d22e79a635c6a86004fe"},"schema_version":"1.0","source":{"id":"2509.05330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05330","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05330v1","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05330","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_12","alias_value":"7G45VMM7CGNE","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_16","alias_value":"7G45VMM7CGNENZWY","created_at":"2026-07-05T12:05:45Z"},{"alias_kind":"pith_short_8","alias_value":"7G45VMM7","created_at":"2026-07-05T12:05:45Z"}],"graph_snapshots":[{"event_id":"sha256:df3a5c58843722b96b5a12ec07bde68954f13b587152125e7d8216994ba26d9a","target":"graph","created_at":"2026-07-05T12:05:45Z","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/2509.05330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic emotion recognition has become increasingly important with the rise of AI, especially in fields like healthcare, education, and automotive systems. However, there is a lack of multimodal datasets, particularly involving body motion and physiological signals, which limits progress in the field. To address this, the MVRS dataset is introduced, featuring synchronized recordings from 13 participants aged 12 to 60 exposed to VR based emotional stimuli (relaxation, fear, stress, sadness, joy). Data were collected using eye tracking (via webcam in a VR headset), body motion (Kinect v2), and","authors_text":"Atiye Ilanloo, Seyed Muhammad Hossein Mousavi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-31T17:20:53Z","title":"MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05330","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":"sha256:7e51c6f110b818d27641b7e10f759e1da1b9c3c374a2675c15d1d525f9f07984","target":"record","created_at":"2026-07-05T12:05:45Z","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":"e34eb7cf16a3368d1c3d22853230330c340d560804027adf86bdfd23f9a4919d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-31T17:20:53Z","title_canon_sha256":"f600d4ada484e72f678b2e5a4b3b267a75096e16c5f3d22e79a635c6a86004fe"},"schema_version":"1.0","source":{"id":"2509.05330","kind":"arxiv","version":1}},"canonical_sha256":"f9b9dab19f119a46e6d8a0b654dbaa291d28fd8ded53dc3186ebcd15f7a23676","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9b9dab19f119a46e6d8a0b654dbaa291d28fd8ded53dc3186ebcd15f7a23676","first_computed_at":"2026-07-05T12:05:45.069328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:45.069328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f/amXAlefNkma/YDjhhnVWNdToS5fvwk3WXEhgX6QvpOZr63hcIwYAvr3In1EIsHITfzaZrB9wAmoMvRBHbWCA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:45.069850Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.05330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e51c6f110b818d27641b7e10f759e1da1b9c3c374a2675c15d1d525f9f07984","sha256:df3a5c58843722b96b5a12ec07bde68954f13b587152125e7d8216994ba26d9a"],"state_sha256":"33c1907019fc9374133874925441813331de78d685dc9ca88f5235ba3db62bb4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GAXG0Ct9LN4syPeefZoZ7cM3F6K9RNRwG2kr1oUaB6R/3+Mhd0igSn2UJ8NLrYN4jh52SzccInHz+/wWNPLiAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T02:57:59.583894Z","bundle_sha256":"4fcdbe1bbb9f3077d6a244bc71c90b5da7f65de6c99511656bf4a4c90dbbea7e"}}