{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IETGUB2UORJNMUVVVTZK5AP4RU","short_pith_number":"pith:IETGUB2U","canonical_record":{"source":{"id":"2009.08906","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T15:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"fb5efb689004e6935cdcfb98d5304d84bf081f3ccd366d070b2c774e61d82501","abstract_canon_sha256":"44fbeadb1a5158511c212d543cbb18301f9753628c40f36371f108a83e94dd67"},"schema_version":"1.0"},"canonical_sha256":"41266a07547452d652b5acf2ae81fc8d3adf4ba529a6395393418f89219245fc","source":{"kind":"arxiv","id":"2009.08906","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08906","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08906v2","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08906","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_12","alias_value":"IETGUB2UORJN","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_16","alias_value":"IETGUB2UORJNMUVV","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_8","alias_value":"IETGUB2U","created_at":"2026-07-05T03:36:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IETGUB2UORJNMUVVVTZK5AP4RU","target":"record","payload":{"canonical_record":{"source":{"id":"2009.08906","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T15:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"fb5efb689004e6935cdcfb98d5304d84bf081f3ccd366d070b2c774e61d82501","abstract_canon_sha256":"44fbeadb1a5158511c212d543cbb18301f9753628c40f36371f108a83e94dd67"},"schema_version":"1.0"},"canonical_sha256":"41266a07547452d652b5acf2ae81fc8d3adf4ba529a6395393418f89219245fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:36:51.750331Z","signature_b64":"MJaU6ezmnVJDPdcyniMvGb4jlKJ2oOS7YfC5UYbYIVZT7pj9pGrApW4SzXTgB+aqJZrIWJHJrXjYUIg1NSImDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41266a07547452d652b5acf2ae81fc8d3adf4ba529a6395393418f89219245fc","last_reissued_at":"2026-07-05T03:36:51.749853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:36:51.749853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.08906","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":"2026-07-05T03:36:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ds+dNacJ9pDT71cnO8edxdKTEFoPCHaPj58a5DgGGmBB3wH4lm/QT/sFSa0FVrOceJtsAwkrW0Qo643WgAXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:41:24.904517Z"},"content_sha256":"d30a98de76a094ccfc6e9cbd597daa24f575cc51ef7b68d7def97d643cee15f0","schema_version":"1.0","event_id":"sha256:d30a98de76a094ccfc6e9cbd597daa24f575cc51ef7b68d7def97d643cee15f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IETGUB2UORJNMUVVVTZK5AP4RU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhishek Banerjee, Aniket Bera, Uttaran Bhattacharya","submitted_at":"2020-09-18T15:59:44Z","abstract_excerpt":"We present a novel generalized zero-shot algorithm to recognize perceived emotions from gestures. Our task is to map gestures to novel emotion categories not encountered in training. We introduce an adversarial, autoencoder-based representation learning that correlates 3D motion-captured gesture sequence with the vectorized representation of the natural-language perceived emotion terms using word2vec embeddings. The language-semantic embedding provides a representation of the emotion label space, and we leverage this underlying distribution to map the gesture-sequences to the appropriate categ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08906","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/2009.08906/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":"2026-07-05T03:36:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+w6MgpzqxFJ+ipEUfy+WbiBHZYaXWnsPo8HXdtBB3FONH1NIY69oH2urXo1uOYsQ8ZCufemKoaZG2vkrYzfhCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:41:24.904928Z"},"content_sha256":"e4c824584662c3a6747f328d17949e489bdc3c53fa46141a171663b29067995c","schema_version":"1.0","event_id":"sha256:e4c824584662c3a6747f328d17949e489bdc3c53fa46141a171663b29067995c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IETGUB2UORJNMUVVVTZK5AP4RU/bundle.json","state_url":"https://pith.science/pith/IETGUB2UORJNMUVVVTZK5AP4RU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IETGUB2UORJNMUVVVTZK5AP4RU/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":"2026-07-06T18:41:24Z","links":{"resolver":"https://pith.science/pith/IETGUB2UORJNMUVVVTZK5AP4RU","bundle":"https://pith.science/pith/IETGUB2UORJNMUVVVTZK5AP4RU/bundle.json","state":"https://pith.science/pith/IETGUB2UORJNMUVVVTZK5AP4RU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IETGUB2UORJNMUVVVTZK5AP4RU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IETGUB2UORJNMUVVVTZK5AP4RU","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":"44fbeadb1a5158511c212d543cbb18301f9753628c40f36371f108a83e94dd67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T15:59:44Z","title_canon_sha256":"fb5efb689004e6935cdcfb98d5304d84bf081f3ccd366d070b2c774e61d82501"},"schema_version":"1.0","source":{"id":"2009.08906","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08906","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08906v2","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08906","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_12","alias_value":"IETGUB2UORJN","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_16","alias_value":"IETGUB2UORJNMUVV","created_at":"2026-07-05T03:36:51Z"},{"alias_kind":"pith_short_8","alias_value":"IETGUB2U","created_at":"2026-07-05T03:36:51Z"}],"graph_snapshots":[{"event_id":"sha256:e4c824584662c3a6747f328d17949e489bdc3c53fa46141a171663b29067995c","target":"graph","created_at":"2026-07-05T03:36:51Z","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/2009.08906/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel generalized zero-shot algorithm to recognize perceived emotions from gestures. Our task is to map gestures to novel emotion categories not encountered in training. We introduce an adversarial, autoencoder-based representation learning that correlates 3D motion-captured gesture sequence with the vectorized representation of the natural-language perceived emotion terms using word2vec embeddings. The language-semantic embedding provides a representation of the emotion label space, and we leverage this underlying distribution to map the gesture-sequences to the appropriate categ","authors_text":"Abhishek Banerjee, Aniket Bera, Uttaran Bhattacharya","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T15:59:44Z","title":"Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08906","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:d30a98de76a094ccfc6e9cbd597daa24f575cc51ef7b68d7def97d643cee15f0","target":"record","created_at":"2026-07-05T03:36:51Z","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":"44fbeadb1a5158511c212d543cbb18301f9753628c40f36371f108a83e94dd67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T15:59:44Z","title_canon_sha256":"fb5efb689004e6935cdcfb98d5304d84bf081f3ccd366d070b2c774e61d82501"},"schema_version":"1.0","source":{"id":"2009.08906","kind":"arxiv","version":2}},"canonical_sha256":"41266a07547452d652b5acf2ae81fc8d3adf4ba529a6395393418f89219245fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41266a07547452d652b5acf2ae81fc8d3adf4ba529a6395393418f89219245fc","first_computed_at":"2026-07-05T03:36:51.749853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:36:51.749853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MJaU6ezmnVJDPdcyniMvGb4jlKJ2oOS7YfC5UYbYIVZT7pj9pGrApW4SzXTgB+aqJZrIWJHJrXjYUIg1NSImDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:36:51.750331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.08906","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d30a98de76a094ccfc6e9cbd597daa24f575cc51ef7b68d7def97d643cee15f0","sha256:e4c824584662c3a6747f328d17949e489bdc3c53fa46141a171663b29067995c"],"state_sha256":"a070e05285bbf428c75f710a04d8346cdbb6a8abf2607491842c50440292bf92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OFknGpxX1Xy7VijqoYIOgyzXCBx2pZ8ioReC+Y0Pgjn76v7W2yyX29+3ofFfWiXyr8JcOAY2hFtVpUr/i8dsDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:41:24.906909Z","bundle_sha256":"cad994b2405e2b3b4ded8e1a98a4e99eecc038b82eb3bba7080b5d984909bb21"}}