{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KG6I3YXWVCHYHOCPILYWAE3GZQ","short_pith_number":"pith:KG6I3YXW","canonical_record":{"source":{"id":"2606.15920","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T16:51:22Z","cross_cats_sorted":[],"title_canon_sha256":"242b2447b05575fcaa76971519de7693a6401ef9073e5c3073cd843c02108c37","abstract_canon_sha256":"d425f646b9fbed94d7c01ec145cfa18704f7a0694990075305dfbd5e2fdc8f1b"},"schema_version":"1.0"},"canonical_sha256":"51bc8de2f6a88f83b84f42f1601366cc153b967ec03f38c3f01f42b573ea4cb8","source":{"kind":"arxiv","id":"2606.15920","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.15920","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2606.15920v2","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.15920","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"KG6I3YXWVCHY","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"KG6I3YXWVCHYHOCP","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"KG6I3YXW","created_at":"2026-07-10T01:19:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KG6I3YXWVCHYHOCPILYWAE3GZQ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.15920","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T16:51:22Z","cross_cats_sorted":[],"title_canon_sha256":"242b2447b05575fcaa76971519de7693a6401ef9073e5c3073cd843c02108c37","abstract_canon_sha256":"d425f646b9fbed94d7c01ec145cfa18704f7a0694990075305dfbd5e2fdc8f1b"},"schema_version":"1.0"},"canonical_sha256":"51bc8de2f6a88f83b84f42f1601366cc153b967ec03f38c3f01f42b573ea4cb8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:45.005063Z","signature_b64":"Rh/Q8HQmHXtEEhYACfaE4zm0AIGMY8c+J/w3irGntMecgoqvbmq80UrklpepmJ6VH75FHl0DzSfnUjIZQQ2OBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51bc8de2f6a88f83b84f42f1601366cc153b967ec03f38c3f01f42b573ea4cb8","last_reissued_at":"2026-07-10T01:19:45.004682Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:45.004682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.15920","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":"2026-07-10T01:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k8JDovI1LEbIywDIuuyDS/fbXTuhZ2Xw0JACFw0llp1Z/31TgMIIKwIwIMILYqXx1TqlIIAhsfTKn5x8z5CZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:13:22.899931Z"},"content_sha256":"8e9b56079c5e20b5c5cd49863952ca7245907f05ca2a05f7578a6bbed0a16ccc","schema_version":"1.0","event_id":"sha256:8e9b56079c5e20b5c5cd49863952ca7245907f05ca2a05f7578a6bbed0a16ccc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KG6I3YXWVCHYHOCPILYWAE3GZQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boxue Yang, Fei Ma, Jingyi Chen, Laizhong Cui, Qi Tian, Shuimu Chen, Xiaojiang Peng, Yuanshen Guan, Zebang Cheng, Zheng Lian","submitted_at":"2026-06-14T16:51:22Z","abstract_excerpt":"Reinforcement learning for multimodal large language models (MLLMs) is often hindered by severe reward sparsity in complex reasoning tasks. This challenge is particularly pronounced in human-centered scenarios involving states, emotions, intentions, and behaviors, where heterogeneous multimodal signals and subjective human factors make high-quality chain-of-thought (CoT) annotations expensive and difficult to obtain. Although many multimodal datasets provide expert-annotated ground-truth labels, directly using these labels for supervised fine-tuning may encourage shortcut learning in multimoda"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.15920","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/2606.15920/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":"2026-07-10T01:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9yJT7/L0ohK0C95WPIWJ3e5XtM7Kj063BtMY2HknDHzv16RA80R0bXn0Ynfkxt/CWSZv4ZaSAryUsmNalosFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:13:22.900439Z"},"content_sha256":"e5d0ea238ab165e4bb9ca849affedec04e1cf1b15e4d9dd7dfaaf42b2a07dd1d","schema_version":"1.0","event_id":"sha256:e5d0ea238ab165e4bb9ca849affedec04e1cf1b15e4d9dd7dfaaf42b2a07dd1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/bundle.json","state_url":"https://pith.science/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/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":"2026-08-03T17:13:22Z","links":{"resolver":"https://pith.science/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ","bundle":"https://pith.science/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/bundle.json","state":"https://pith.science/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KG6I3YXWVCHYHOCPILYWAE3GZQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KG6I3YXWVCHYHOCPILYWAE3GZQ","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":"d425f646b9fbed94d7c01ec145cfa18704f7a0694990075305dfbd5e2fdc8f1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T16:51:22Z","title_canon_sha256":"242b2447b05575fcaa76971519de7693a6401ef9073e5c3073cd843c02108c37"},"schema_version":"1.0","source":{"id":"2606.15920","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.15920","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2606.15920v2","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.15920","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"KG6I3YXWVCHY","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"KG6I3YXWVCHYHOCP","created_at":"2026-07-10T01:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"KG6I3YXW","created_at":"2026-07-10T01:19:45Z"}],"graph_snapshots":[{"event_id":"sha256:e5d0ea238ab165e4bb9ca849affedec04e1cf1b15e4d9dd7dfaaf42b2a07dd1d","target":"graph","created_at":"2026-07-10T01:19:45Z","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/2606.15920/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement learning for multimodal large language models (MLLMs) is often hindered by severe reward sparsity in complex reasoning tasks. This challenge is particularly pronounced in human-centered scenarios involving states, emotions, intentions, and behaviors, where heterogeneous multimodal signals and subjective human factors make high-quality chain-of-thought (CoT) annotations expensive and difficult to obtain. Although many multimodal datasets provide expert-annotated ground-truth labels, directly using these labels for supervised fine-tuning may encourage shortcut learning in multimoda","authors_text":"Boxue Yang, Fei Ma, Jingyi Chen, Laizhong Cui, Qi Tian, Shuimu Chen, Xiaojiang Peng, Yuanshen Guan, Zebang Cheng, Zheng Lian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T16:51:22Z","title":"OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.15920","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":"sha256:8e9b56079c5e20b5c5cd49863952ca7245907f05ca2a05f7578a6bbed0a16ccc","target":"record","created_at":"2026-07-10T01:19:45Z","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":"d425f646b9fbed94d7c01ec145cfa18704f7a0694990075305dfbd5e2fdc8f1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T16:51:22Z","title_canon_sha256":"242b2447b05575fcaa76971519de7693a6401ef9073e5c3073cd843c02108c37"},"schema_version":"1.0","source":{"id":"2606.15920","kind":"arxiv","version":2}},"canonical_sha256":"51bc8de2f6a88f83b84f42f1601366cc153b967ec03f38c3f01f42b573ea4cb8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51bc8de2f6a88f83b84f42f1601366cc153b967ec03f38c3f01f42b573ea4cb8","first_computed_at":"2026-07-10T01:19:45.004682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:45.004682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rh/Q8HQmHXtEEhYACfaE4zm0AIGMY8c+J/w3irGntMecgoqvbmq80UrklpepmJ6VH75FHl0DzSfnUjIZQQ2OBQ==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:45.005063Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.15920","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e9b56079c5e20b5c5cd49863952ca7245907f05ca2a05f7578a6bbed0a16ccc","sha256:e5d0ea238ab165e4bb9ca849affedec04e1cf1b15e4d9dd7dfaaf42b2a07dd1d"],"state_sha256":"69e7d33d1f3b06cbc42f243ae8999e185d06f004015ed4a5a29ae8e12a8d772a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nkde+fUlx1zhUcqohIoTz9EhJ3qR0GBFWQZI8oKDI6wxN05A1LVmRdMuh8JTjaDF4zNc56YF5Bfnd+D+UPJRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:13:22.905762Z","bundle_sha256":"799f95d89816e17da7bdcf0671e0c7a273d5a5b38e8d577083e11f9ecb47df94"}}