{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:3EBFARGVHQOQZVO7GCQ6CUKCWC","short_pith_number":"pith:3EBFARGV","canonical_record":{"source":{"id":"2210.15937","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-28T06:48:35Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"fed5633b5ba278bf33d694642eb73da3be0b2f321312dfb7ef2f8c1c2edbfccc","abstract_canon_sha256":"b28cd3a1b38e842aac989ff82ea7a4ba27fff25ffeafc4d52f253827174bb4a7"},"schema_version":"1.0"},"canonical_sha256":"d9025044d53c1d0cd5df30a1e15142b0899f9e7ed2abc7b0451ee401f62b0c1e","source":{"kind":"arxiv","id":"2210.15937","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15937","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15937v1","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15937","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_12","alias_value":"3EBFARGVHQOQ","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_16","alias_value":"3EBFARGVHQOQZVO7","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_8","alias_value":"3EBFARGV","created_at":"2026-07-05T05:11:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:3EBFARGVHQOQZVO7GCQ6CUKCWC","target":"record","payload":{"canonical_record":{"source":{"id":"2210.15937","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-28T06:48:35Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"fed5633b5ba278bf33d694642eb73da3be0b2f321312dfb7ef2f8c1c2edbfccc","abstract_canon_sha256":"b28cd3a1b38e842aac989ff82ea7a4ba27fff25ffeafc4d52f253827174bb4a7"},"schema_version":"1.0"},"canonical_sha256":"d9025044d53c1d0cd5df30a1e15142b0899f9e7ed2abc7b0451ee401f62b0c1e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:28.198631Z","signature_b64":"/fUrzU71pTcJfmBrXuczxIS2r8t11bMC+6P0TddikQyeEwrE4HkYq0d/seKlSghaxKrDYvNz39ayvn4ILSzWBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9025044d53c1d0cd5df30a1e15142b0899f9e7ed2abc7b0451ee401f62b0c1e","last_reissued_at":"2026-07-05T05:11:28.198201Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:28.198201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.15937","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":"2026-07-05T05:11:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yZXQIqMGTdLWA6r4QIB2++9d4ecOs8EZoKca8+EOuvO4btFD+I7SzmiCa8quImje7Bzby87GNXDxMQ5cK8sUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:55:37.279006Z"},"content_sha256":"df00ddc245ec7df620c0999caf4ca64b7bcfad96f3dd31925a4aabb79d680861","schema_version":"1.0","event_id":"sha256:df00ddc245ec7df620c0999caf4ca64b7bcfad96f3dd31925a4aabb79d680861"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:3EBFARGVHQOQZVO7GCQ6CUKCWC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Akihiko Takashima, Atsushi Ando, Hiroshi Sato, Keita Suzuki, Naoki Makishima, Ryo Masumura, Satoshi Suzuki, Takafumi Moriya, Takanori Ashihara","submitted_at":"2022-10-28T06:48:35Z","abstract_excerpt":"This paper investigates the effectiveness and implementation of modality-specific large-scale pre-trained encoders for multimodal sentiment analysis~(MSA). Although the effectiveness of pre-trained encoders in various fields has been reported, conventional MSA methods employ them for only linguistic modality, and their application has not been investigated. This paper compares the features yielded by large-scale pre-trained encoders with conventional heuristic features. One each of the largest pre-trained encoders publicly available for each modality are used; CLIP-ViT, WavLM, and BERT for vis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15937","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/2210.15937/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":"2026-07-05T05:11:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"grK44JfKfpQwKUJbTZUCouyEodruO0RAAidlakUiSC7kMvulTX5pjhDtNeYV4rE5zvDbUXkIcKD6/PRJJGh4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:55:37.279413Z"},"content_sha256":"00ba71334b55b2a9fd29b2a2eb72b07d07e84260b164324d95bd9c39f6e9980e","schema_version":"1.0","event_id":"sha256:00ba71334b55b2a9fd29b2a2eb72b07d07e84260b164324d95bd9c39f6e9980e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/bundle.json","state_url":"https://pith.science/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/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":"2026-07-09T00:55:37Z","links":{"resolver":"https://pith.science/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC","bundle":"https://pith.science/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/bundle.json","state":"https://pith.science/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3EBFARGVHQOQZVO7GCQ6CUKCWC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3EBFARGVHQOQZVO7GCQ6CUKCWC","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":"b28cd3a1b38e842aac989ff82ea7a4ba27fff25ffeafc4d52f253827174bb4a7","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-28T06:48:35Z","title_canon_sha256":"fed5633b5ba278bf33d694642eb73da3be0b2f321312dfb7ef2f8c1c2edbfccc"},"schema_version":"1.0","source":{"id":"2210.15937","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15937","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15937v1","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15937","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_12","alias_value":"3EBFARGVHQOQ","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_16","alias_value":"3EBFARGVHQOQZVO7","created_at":"2026-07-05T05:11:28Z"},{"alias_kind":"pith_short_8","alias_value":"3EBFARGV","created_at":"2026-07-05T05:11:28Z"}],"graph_snapshots":[{"event_id":"sha256:00ba71334b55b2a9fd29b2a2eb72b07d07e84260b164324d95bd9c39f6e9980e","target":"graph","created_at":"2026-07-05T05:11:28Z","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/2210.15937/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates the effectiveness and implementation of modality-specific large-scale pre-trained encoders for multimodal sentiment analysis~(MSA). Although the effectiveness of pre-trained encoders in various fields has been reported, conventional MSA methods employ them for only linguistic modality, and their application has not been investigated. This paper compares the features yielded by large-scale pre-trained encoders with conventional heuristic features. One each of the largest pre-trained encoders publicly available for each modality are used; CLIP-ViT, WavLM, and BERT for vis","authors_text":"Akihiko Takashima, Atsushi Ando, Hiroshi Sato, Keita Suzuki, Naoki Makishima, Ryo Masumura, Satoshi Suzuki, Takafumi Moriya, Takanori Ashihara","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-28T06:48:35Z","title":"On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15937","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:df00ddc245ec7df620c0999caf4ca64b7bcfad96f3dd31925a4aabb79d680861","target":"record","created_at":"2026-07-05T05:11:28Z","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":"b28cd3a1b38e842aac989ff82ea7a4ba27fff25ffeafc4d52f253827174bb4a7","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-28T06:48:35Z","title_canon_sha256":"fed5633b5ba278bf33d694642eb73da3be0b2f321312dfb7ef2f8c1c2edbfccc"},"schema_version":"1.0","source":{"id":"2210.15937","kind":"arxiv","version":1}},"canonical_sha256":"d9025044d53c1d0cd5df30a1e15142b0899f9e7ed2abc7b0451ee401f62b0c1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9025044d53c1d0cd5df30a1e15142b0899f9e7ed2abc7b0451ee401f62b0c1e","first_computed_at":"2026-07-05T05:11:28.198201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:28.198201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/fUrzU71pTcJfmBrXuczxIS2r8t11bMC+6P0TddikQyeEwrE4HkYq0d/seKlSghaxKrDYvNz39ayvn4ILSzWBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:28.198631Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15937","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df00ddc245ec7df620c0999caf4ca64b7bcfad96f3dd31925a4aabb79d680861","sha256:00ba71334b55b2a9fd29b2a2eb72b07d07e84260b164324d95bd9c39f6e9980e"],"state_sha256":"91f42aea31f5f644f70b24247cada2e7d70edbfe3e3d96e8e5eb480e733989ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kW3zPRhEfQ40wHSLcLMfug2H74/tHh9AfreW3Goe1A75TIi7SCgpKDFYZ+qA4tvItljYMzwhPtdSWDRBoauwBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T00:55:37.281754Z","bundle_sha256":"a970529e173b1318cea264c0b04e0647253fa90f187a1ad5e94bb6b97a7c0faf"}}