{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:QFQAM2ATJGXA47HTCF4UGJJVEC","short_pith_number":"pith:QFQAM2AT","canonical_record":{"source":{"id":"1802.00923","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-03T06:29:17Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"4dc731e19c14f82af83d8e2cb0d5f68644f164d2cad62c81910c58b8dcc80020","abstract_canon_sha256":"1dc11985af8686197884bdafcd190dcabb68630dfef1bee70543d96ac0fd9b2b"},"schema_version":"1.0"},"canonical_sha256":"816006681349ae0e7cf3117943253520b1bfd4945dc868e3c3336f68c19b7058","source":{"kind":"arxiv","id":"1802.00923","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.00923","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"1802.00923v1","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.00923","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"QFQAM2ATJGXA","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QFQAM2ATJGXA47HT","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QFQAM2AT","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:QFQAM2ATJGXA47HTCF4UGJJVEC","target":"record","payload":{"canonical_record":{"source":{"id":"1802.00923","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-03T06:29:17Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"4dc731e19c14f82af83d8e2cb0d5f68644f164d2cad62c81910c58b8dcc80020","abstract_canon_sha256":"1dc11985af8686197884bdafcd190dcabb68630dfef1bee70543d96ac0fd9b2b"},"schema_version":"1.0"},"canonical_sha256":"816006681349ae0e7cf3117943253520b1bfd4945dc868e3c3336f68c19b7058","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:27.872362Z","signature_b64":"w6uivSwxygNDBlfHHIDikJsujnTrxOw9iyanILDEr2TOqdaRObUXsWbh+O+nACx+Mgs1EslNx6D6iboJ1KC9BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"816006681349ae0e7cf3117943253520b1bfd4945dc868e3c3336f68c19b7058","last_reissued_at":"2026-05-18T00:24:27.871914Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:27.871914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.00923","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":"2026-05-18T00:24:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MCz3VTUwkMN5+R8vE5Kj1KjRZjqFPHjNyzIeep0EC2UQ4TT0DbxA6hc/I917VbgzRPAFUTmrwUYYdUV+/ATvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:41:28.152074Z"},"content_sha256":"3106971c9c355826da0e82ae4dd8b8a805460e756cfb773970d9892704ae2b5f","schema_version":"1.0","event_id":"sha256:3106971c9c355826da0e82ae4dd8b8a805460e756cfb773970d9892704ae2b5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:QFQAM2ATJGXA47HTCF4UGJJVEC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-attention Recurrent Network for Human Communication Comprehension","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Paul Pu Liang, Prateek Vij, Soujanya Poria","submitted_at":"2018-02-03T06:29:17Z","abstract_excerpt":"Human face-to-face communication is a complex multimodal signal. We use words (language modality), gestures (vision modality) and changes in tone (acoustic modality) to convey our intentions. Humans easily process and understand face-to-face communication, however, comprehending this form of communication remains a significant challenge for Artificial Intelligence (AI). AI must understand each modality and the interactions between them that shape human communication. In this paper, we present a novel neural architecture for understanding human communication called the Multi-attention Recurrent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.00923","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":""},"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":"2026-05-18T00:24:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zTPCwi2ieP2e1YwXdWQbEALBfGCWy0TL6ukmWqavXIxzJlW3vIp6xmwlZlZ+JlEKdVtJfZlyumtFnA3ZIX0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T08:41:28.152444Z"},"content_sha256":"65490918399a28d3ed8933325043a5a465200531284afa54cafb39028827dd0b","schema_version":"1.0","event_id":"sha256:65490918399a28d3ed8933325043a5a465200531284afa54cafb39028827dd0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/bundle.json","state_url":"https://pith.science/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/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":"2026-05-30T08:41:28Z","links":{"resolver":"https://pith.science/pith/QFQAM2ATJGXA47HTCF4UGJJVEC","bundle":"https://pith.science/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/bundle.json","state":"https://pith.science/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QFQAM2ATJGXA47HTCF4UGJJVEC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QFQAM2ATJGXA47HTCF4UGJJVEC","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":"1dc11985af8686197884bdafcd190dcabb68630dfef1bee70543d96ac0fd9b2b","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-03T06:29:17Z","title_canon_sha256":"4dc731e19c14f82af83d8e2cb0d5f68644f164d2cad62c81910c58b8dcc80020"},"schema_version":"1.0","source":{"id":"1802.00923","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.00923","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"1802.00923v1","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.00923","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"QFQAM2ATJGXA","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QFQAM2ATJGXA47HT","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QFQAM2AT","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:65490918399a28d3ed8933325043a5a465200531284afa54cafb39028827dd0b","target":"graph","created_at":"2026-05-18T00:24:27Z","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"},"paper":{"abstract_excerpt":"Human face-to-face communication is a complex multimodal signal. We use words (language modality), gestures (vision modality) and changes in tone (acoustic modality) to convey our intentions. Humans easily process and understand face-to-face communication, however, comprehending this form of communication remains a significant challenge for Artificial Intelligence (AI). AI must understand each modality and the interactions between them that shape human communication. In this paper, we present a novel neural architecture for understanding human communication called the Multi-attention Recurrent","authors_text":"Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Paul Pu Liang, Prateek Vij, Soujanya Poria","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-03T06:29:17Z","title":"Multi-attention Recurrent Network for Human Communication Comprehension"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.00923","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":"sha256:3106971c9c355826da0e82ae4dd8b8a805460e756cfb773970d9892704ae2b5f","target":"record","created_at":"2026-05-18T00:24:27Z","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":"1dc11985af8686197884bdafcd190dcabb68630dfef1bee70543d96ac0fd9b2b","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-03T06:29:17Z","title_canon_sha256":"4dc731e19c14f82af83d8e2cb0d5f68644f164d2cad62c81910c58b8dcc80020"},"schema_version":"1.0","source":{"id":"1802.00923","kind":"arxiv","version":1}},"canonical_sha256":"816006681349ae0e7cf3117943253520b1bfd4945dc868e3c3336f68c19b7058","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"816006681349ae0e7cf3117943253520b1bfd4945dc868e3c3336f68c19b7058","first_computed_at":"2026-05-18T00:24:27.871914Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:27.871914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w6uivSwxygNDBlfHHIDikJsujnTrxOw9iyanILDEr2TOqdaRObUXsWbh+O+nACx+Mgs1EslNx6D6iboJ1KC9BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:27.872362Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.00923","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3106971c9c355826da0e82ae4dd8b8a805460e756cfb773970d9892704ae2b5f","sha256:65490918399a28d3ed8933325043a5a465200531284afa54cafb39028827dd0b"],"state_sha256":"74873b4881b8c1bb821eb6363fd851e7fb4dc616709ea29a63ea60468642b741"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LfxDBHoOjwPp5oPTDTyEkYYoIphKYJpZ7clcbeScTFWhYLuO1xkn+bDigd/0BLHazJBVj8o9Pi4b8r67n8/oCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T08:41:28.154466Z","bundle_sha256":"b210eb557ec75249a81d1091ef23f453767e22ccfb07a0f9b69ddf8381175320"}}