{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:POBKBMGZHCS5BK74CBW2PEEEMH","short_pith_number":"pith:POBKBMGZ","canonical_record":{"source":{"id":"2605.19950","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T15:05:00Z","cross_cats_sorted":[],"title_canon_sha256":"98a4ed53c987b6662fdd9f8fc093e9545de044a640625d99f7821780f64a7689","abstract_canon_sha256":"cfccfd166b2e7eb7c603e24b26a413985a440757a15b4cc848e3b29cdd9bc9f6"},"schema_version":"1.0"},"canonical_sha256":"7b82a0b0d938a5d0abfc106da7908461d97ed70fee19e2b2f3e1bf7cfd0ebfae","source":{"kind":"arxiv","id":"2605.19950","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19950","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19950v1","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19950","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"POBKBMGZHCS5","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"POBKBMGZHCS5BK74","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"POBKBMGZ","created_at":"2026-05-20T02:05:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:POBKBMGZHCS5BK74CBW2PEEEMH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.19950","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T15:05:00Z","cross_cats_sorted":[],"title_canon_sha256":"98a4ed53c987b6662fdd9f8fc093e9545de044a640625d99f7821780f64a7689","abstract_canon_sha256":"cfccfd166b2e7eb7c603e24b26a413985a440757a15b4cc848e3b29cdd9bc9f6"},"schema_version":"1.0"},"canonical_sha256":"7b82a0b0d938a5d0abfc106da7908461d97ed70fee19e2b2f3e1bf7cfd0ebfae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T02:05:56.684489Z","signature_b64":"zsNE5W9TwCSqNPT1PB+tXqCHfX/Ctd6T6fyHGp3DKPfMkxGqh73uSBKx/vclPSU0zfdKiglgNz9l3hxGSaoWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b82a0b0d938a5d0abfc106da7908461d97ed70fee19e2b2f3e1bf7cfd0ebfae","last_reissued_at":"2026-05-20T02:05:56.683820Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T02:05:56.683820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.19950","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":"2026-05-20T02:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wL52N5EIMgwy7kkKOytHtyGN7ErTsx0Fzy8ggU2boOD++ZxbUYV4Jw8MHsx9doYjkpwJg8Gd71MIgpl4+wUzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T20:02:33.087000Z"},"content_sha256":"7e8c1a9f9ed5e548368919b6db4f26be37af84c0b07ef07c7cb6548db1dfde18","schema_version":"1.0","event_id":"sha256:7e8c1a9f9ed5e548368919b6db4f26be37af84c0b07ef07c7cb6548db1dfde18"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:POBKBMGZHCS5BK74CBW2PEEEMH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AffectVerse: Emotional World Models for Multimodal Affective Computing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zhao, Fanghua Ye, Sicheng Zhao, Xiaojiang Peng, Yixin Ji, Zitong Yu","submitted_at":"2026-05-19T15:05:00Z","abstract_excerpt":"Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, often treat emotion recognition as static fusion over complete audiovisual-text inputs, leaving affective dynamics implicit. We propose AffectVerse, a Qwen2.5-Omni-based model equipped with an Emotion World Module (EWM), an action-free representation-level module for short-horizon latent affective prediction. \\rev{EWM contains three modules: 1) Cross-Modal Temporal Imagination predicts future video/audio representatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19950","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/2605.19950/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":"2026-05-20T02:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NQJMVv8gp8rpx1mTjTDH88yH0WWbdC9R0LwWBZkcOI22hFmHeUwtb+dN5TOHZu4iaGLOLHpLkpNCQDWTqhxLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T20:02:33.087398Z"},"content_sha256":"191c1a6ff9260a3043a789e8230d2cc5577531036a236ae3ac6de0b23f83a666","schema_version":"1.0","event_id":"sha256:191c1a6ff9260a3043a789e8230d2cc5577531036a236ae3ac6de0b23f83a666"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/POBKBMGZHCS5BK74CBW2PEEEMH/bundle.json","state_url":"https://pith.science/pith/POBKBMGZHCS5BK74CBW2PEEEMH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/POBKBMGZHCS5BK74CBW2PEEEMH/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":"2026-05-20T20:02:33Z","links":{"resolver":"https://pith.science/pith/POBKBMGZHCS5BK74CBW2PEEEMH","bundle":"https://pith.science/pith/POBKBMGZHCS5BK74CBW2PEEEMH/bundle.json","state":"https://pith.science/pith/POBKBMGZHCS5BK74CBW2PEEEMH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/POBKBMGZHCS5BK74CBW2PEEEMH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:POBKBMGZHCS5BK74CBW2PEEEMH","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":"cfccfd166b2e7eb7c603e24b26a413985a440757a15b4cc848e3b29cdd9bc9f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T15:05:00Z","title_canon_sha256":"98a4ed53c987b6662fdd9f8fc093e9545de044a640625d99f7821780f64a7689"},"schema_version":"1.0","source":{"id":"2605.19950","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19950","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19950v1","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19950","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"POBKBMGZHCS5","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"POBKBMGZHCS5BK74","created_at":"2026-05-20T02:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"POBKBMGZ","created_at":"2026-05-20T02:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:191c1a6ff9260a3043a789e8230d2cc5577531036a236ae3ac6de0b23f83a666","target":"graph","created_at":"2026-05-20T02:05:56Z","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/2605.19950/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, often treat emotion recognition as static fusion over complete audiovisual-text inputs, leaving affective dynamics implicit. We propose AffectVerse, a Qwen2.5-Omni-based model equipped with an Emotion World Module (EWM), an action-free representation-level module for short-horizon latent affective prediction. \\rev{EWM contains three modules: 1) Cross-Modal Temporal Imagination predicts future video/audio representatio","authors_text":"Bo Zhao, Fanghua Ye, Sicheng Zhao, Xiaojiang Peng, Yixin Ji, Zitong Yu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T15:05:00Z","title":"AffectVerse: Emotional World Models for Multimodal Affective Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19950","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":"sha256:7e8c1a9f9ed5e548368919b6db4f26be37af84c0b07ef07c7cb6548db1dfde18","target":"record","created_at":"2026-05-20T02:05:56Z","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":"cfccfd166b2e7eb7c603e24b26a413985a440757a15b4cc848e3b29cdd9bc9f6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T15:05:00Z","title_canon_sha256":"98a4ed53c987b6662fdd9f8fc093e9545de044a640625d99f7821780f64a7689"},"schema_version":"1.0","source":{"id":"2605.19950","kind":"arxiv","version":1}},"canonical_sha256":"7b82a0b0d938a5d0abfc106da7908461d97ed70fee19e2b2f3e1bf7cfd0ebfae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b82a0b0d938a5d0abfc106da7908461d97ed70fee19e2b2f3e1bf7cfd0ebfae","first_computed_at":"2026-05-20T02:05:56.683820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T02:05:56.683820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zsNE5W9TwCSqNPT1PB+tXqCHfX/Ctd6T6fyHGp3DKPfMkxGqh73uSBKx/vclPSU0zfdKiglgNz9l3hxGSaoWAg==","signature_status":"signed_v1","signed_at":"2026-05-20T02:05:56.684489Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19950","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e8c1a9f9ed5e548368919b6db4f26be37af84c0b07ef07c7cb6548db1dfde18","sha256:191c1a6ff9260a3043a789e8230d2cc5577531036a236ae3ac6de0b23f83a666"],"state_sha256":"96c0f6ee4d572607e86de719ff9699bf751491be8c0b6f80e67d31c2815c3ff9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82fGWzAoN06D/xr0DOvMKK2LDLAxQTy0utB2rh04EdLu2JtjYuqCktKanw2feqUakdr/4KH2cdxmzKTDvLxbBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T20:02:33.090539Z","bundle_sha256":"2ac054d8e9e6115d372ab8a833f09fec327d7e05416c469a69b92d6942cac11b"}}