{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:3VQAGNF6PGIOMRQ2LMKUQU4DKH","short_pith_number":"pith:3VQAGNF6","canonical_record":{"source":{"id":"2212.08279","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-12-16T04:52:53Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"84541aac1fc2ab58bfd348d843e69e9b5a0bb64f5157a6b9eb41c687141df786","abstract_canon_sha256":"a1274ed0b68cda31f49131fd1b21cd6532c83b0fd412e2ada6292b7301544a5b"},"schema_version":"1.0"},"canonical_sha256":"dd600334be7990e6461a5b1548538351f073dc9ee50a6f21405a7807700f221b","source":{"kind":"arxiv","id":"2212.08279","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.08279","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"arxiv_version","alias_value":"2212.08279v1","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.08279","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_12","alias_value":"3VQAGNF6PGIO","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_16","alias_value":"3VQAGNF6PGIOMRQ2","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_8","alias_value":"3VQAGNF6","created_at":"2026-07-05T05:25:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:3VQAGNF6PGIOMRQ2LMKUQU4DKH","target":"record","payload":{"canonical_record":{"source":{"id":"2212.08279","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-12-16T04:52:53Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"84541aac1fc2ab58bfd348d843e69e9b5a0bb64f5157a6b9eb41c687141df786","abstract_canon_sha256":"a1274ed0b68cda31f49131fd1b21cd6532c83b0fd412e2ada6292b7301544a5b"},"schema_version":"1.0"},"canonical_sha256":"dd600334be7990e6461a5b1548538351f073dc9ee50a6f21405a7807700f221b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:25:54.898287Z","signature_b64":"FeHtCWx0XeSxwDvDzbtwxuVDKGKJZ1gSWAmFAMgxayZEAB4JyvbummqEG8/QGdmMMdbTTSTsRfUIt2lLt2RlAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd600334be7990e6461a5b1548538351f073dc9ee50a6f21405a7807700f221b","last_reissued_at":"2026-07-05T05:25:54.897809Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:25:54.897809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.08279","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":"2026-07-05T05:25:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xmfVUonU3zsVC8Os7aLoCfl0Q84wx0EGPbR7MhRhbshZIJedESbiI1o3/XATIQX8NkaAg2OMII/Q1k4bwvxbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T11:31:21.832984Z"},"content_sha256":"a00ced2b816d33d45bbed86b15f185035173e4c8c9c2e71892fa87419fa6da67","schema_version":"1.0","event_id":"sha256:a00ced2b816d33d45bbed86b15f185035173e4c8c9c2e71892fa87419fa6da67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:3VQAGNF6PGIOMRQ2LMKUQU4DKH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.LG","authors_text":"Aryan Pariani, Bolin Lai, Diyi Yang, Fiona Ryan, Hongxin Zhang, James M. Rehg, Miao Liu, Shirley Anugrah Hayati, Wenqi Jia","submitted_at":"2022-12-16T04:52:53Z","abstract_excerpt":"Persuasion modeling is a key building block for conversational agents. Existing works in this direction are limited to analyzing textual dialogue corpus. We argue that visual signals also play an important role in understanding human persuasive behaviors. In this paper, we introduce the first multimodal dataset for modeling persuasion behaviors. Our dataset includes 199 dialogue transcriptions and videos captured in a multi-player social deduction game setting, 26,647 utterance level annotations of persuasion strategy, and game level annotations of deduction game outcomes. We provide extensive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.08279","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/2212.08279/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":"2026-07-05T05:25:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"50HotU+lNC1NDQpVsqSGz5quxTKQXQLl/qEYEwYB3/kRp3+a3D55bzZq/42YS2+kkWg7ehcom4F8oXIWlg1hAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T11:31:21.833533Z"},"content_sha256":"08a339b34dc695042ace6cef69d9ad98d19d8ec74b7df5b00c0933344e92f1ca","schema_version":"1.0","event_id":"sha256:08a339b34dc695042ace6cef69d9ad98d19d8ec74b7df5b00c0933344e92f1ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/bundle.json","state_url":"https://pith.science/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/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":"2026-08-21T11:31:21Z","links":{"resolver":"https://pith.science/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH","bundle":"https://pith.science/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/bundle.json","state":"https://pith.science/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VQAGNF6PGIOMRQ2LMKUQU4DKH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3VQAGNF6PGIOMRQ2LMKUQU4DKH","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":"a1274ed0b68cda31f49131fd1b21cd6532c83b0fd412e2ada6292b7301544a5b","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-12-16T04:52:53Z","title_canon_sha256":"84541aac1fc2ab58bfd348d843e69e9b5a0bb64f5157a6b9eb41c687141df786"},"schema_version":"1.0","source":{"id":"2212.08279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.08279","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"arxiv_version","alias_value":"2212.08279v1","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.08279","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_12","alias_value":"3VQAGNF6PGIO","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_16","alias_value":"3VQAGNF6PGIOMRQ2","created_at":"2026-07-05T05:25:54Z"},{"alias_kind":"pith_short_8","alias_value":"3VQAGNF6","created_at":"2026-07-05T05:25:54Z"}],"graph_snapshots":[{"event_id":"sha256:08a339b34dc695042ace6cef69d9ad98d19d8ec74b7df5b00c0933344e92f1ca","target":"graph","created_at":"2026-07-05T05:25:54Z","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/2212.08279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Persuasion modeling is a key building block for conversational agents. Existing works in this direction are limited to analyzing textual dialogue corpus. We argue that visual signals also play an important role in understanding human persuasive behaviors. In this paper, we introduce the first multimodal dataset for modeling persuasion behaviors. Our dataset includes 199 dialogue transcriptions and videos captured in a multi-player social deduction game setting, 26,647 utterance level annotations of persuasion strategy, and game level annotations of deduction game outcomes. We provide extensive","authors_text":"Aryan Pariani, Bolin Lai, Diyi Yang, Fiona Ryan, Hongxin Zhang, James M. Rehg, Miao Liu, Shirley Anugrah Hayati, Wenqi Jia","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-12-16T04:52:53Z","title":"Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.08279","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:a00ced2b816d33d45bbed86b15f185035173e4c8c9c2e71892fa87419fa6da67","target":"record","created_at":"2026-07-05T05:25:54Z","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":"a1274ed0b68cda31f49131fd1b21cd6532c83b0fd412e2ada6292b7301544a5b","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-12-16T04:52:53Z","title_canon_sha256":"84541aac1fc2ab58bfd348d843e69e9b5a0bb64f5157a6b9eb41c687141df786"},"schema_version":"1.0","source":{"id":"2212.08279","kind":"arxiv","version":1}},"canonical_sha256":"dd600334be7990e6461a5b1548538351f073dc9ee50a6f21405a7807700f221b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd600334be7990e6461a5b1548538351f073dc9ee50a6f21405a7807700f221b","first_computed_at":"2026-07-05T05:25:54.897809Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:25:54.897809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FeHtCWx0XeSxwDvDzbtwxuVDKGKJZ1gSWAmFAMgxayZEAB4JyvbummqEG8/QGdmMMdbTTSTsRfUIt2lLt2RlAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:25:54.898287Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.08279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a00ced2b816d33d45bbed86b15f185035173e4c8c9c2e71892fa87419fa6da67","sha256:08a339b34dc695042ace6cef69d9ad98d19d8ec74b7df5b00c0933344e92f1ca"],"state_sha256":"aadd87750e05b2841c815c1462087485d8578e17e2aec2bf4d321a39a480b744"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"haVPl37tkF6vgGS7dkNjKPtDbNn/o7sNIVN9iXXZEnt1yA/GRH9PE7nGWWUECHi3/g701xdbaPf427VvZfGvDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T11:31:21.838798Z","bundle_sha256":"f2ce7ba70d1893b867f0df58858aaabb6c8ac30074301a383e2aee6f5c140f49"}}