{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:AGBRPCPFI3GBVF5TF6MCHPHLSI","short_pith_number":"pith:AGBRPCPF","canonical_record":{"source":{"id":"1910.02344","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-06T00:14:38Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"2037943dabf83c691fcffc0cbc7c2e5611a373a3c37001d042161dc8d5ad9905","abstract_canon_sha256":"07bd0487f10abe5d4b69c415ac8e7e3667e051a6efdeff4a701336762bfb4751"},"schema_version":"1.0"},"canonical_sha256":"01831789e546cc1a97b32f9823bceb9233e8be6a2fa7b452fadac11780eb9d0b","source":{"kind":"arxiv","id":"1910.02344","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.02344","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"1910.02344v2","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.02344","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"AGBRPCPFI3GB","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_16","alias_value":"AGBRPCPFI3GBVF5T","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_8","alias_value":"AGBRPCPF","created_at":"2026-07-05T00:17:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:AGBRPCPFI3GBVF5TF6MCHPHLSI","target":"record","payload":{"canonical_record":{"source":{"id":"1910.02344","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-06T00:14:38Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"2037943dabf83c691fcffc0cbc7c2e5611a373a3c37001d042161dc8d5ad9905","abstract_canon_sha256":"07bd0487f10abe5d4b69c415ac8e7e3667e051a6efdeff4a701336762bfb4751"},"schema_version":"1.0"},"canonical_sha256":"01831789e546cc1a97b32f9823bceb9233e8be6a2fa7b452fadac11780eb9d0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:17:55.298706Z","signature_b64":"R3VWL70QqUcZeZLe68eqwQy0W9Ta3CK6aO0b2MeOnO/JfdhDPS761rp4610HdZ4eagaMsJ5Zcq4itryeFis3Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01831789e546cc1a97b32f9823bceb9233e8be6a2fa7b452fadac11780eb9d0b","last_reissued_at":"2026-07-05T00:17:55.298275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:17:55.298275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.02344","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":"2026-07-05T00:17:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/wIEEVQRc2YeyIhEq7gF3T+fliGLFXw04a+O6qG8TZ0ErWM/X1hRmRdqsniZKpv21FFovek9EVmnWRmQyU/BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:03:28.977291Z"},"content_sha256":"56b18d2ad0b284423425b21a3e5030c75195c7251200d12df15884e11e1042ab","schema_version":"1.0","event_id":"sha256:56b18d2ad0b284423425b21a3e5030c75195c7251200d12df15884e11e1042ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:AGBRPCPFI3GBVF5TF6MCHPHLSI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Multisensory Scene Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Christopher Pal, Jae Hyun Lim, Negar Rostamzadeh, Pedro O. Pinheiro, Sungjin Ahn","submitted_at":"2019-10-06T00:14:38Z","abstract_excerpt":"For embodied agents to infer representations of the underlying 3D physical world they inhabit, they should efficiently combine multisensory cues from numerous trials, e.g., by looking at and touching objects. Despite its importance, multisensory 3D scene representation learning has received less attention compared to the unimodal setting. In this paper, we propose the Generative Multisensory Network (GMN) for learning latent representations of 3D scenes which are partially observable through multiple sensory modalities. We also introduce a novel method, called the Amortized Product-of-Experts,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.02344","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/1910.02344/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":"2026-07-05T00:17:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QNkudPBYeuxBtk07TQNs7WlAw1yLpKAP2gaJvTmPkRhEzyOGX4glp85QxRZr/OiIuBPOpsKBFoVLZDYJP7RxAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:03:28.977814Z"},"content_sha256":"0c07dd707474a32307fb45eabd97c276b4b703b5a9eed46a6f41c792b07c0cbe","schema_version":"1.0","event_id":"sha256:0c07dd707474a32307fb45eabd97c276b4b703b5a9eed46a6f41c792b07c0cbe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/bundle.json","state_url":"https://pith.science/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/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":"2026-08-05T08:03:28Z","links":{"resolver":"https://pith.science/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI","bundle":"https://pith.science/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/bundle.json","state":"https://pith.science/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AGBRPCPFI3GBVF5TF6MCHPHLSI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AGBRPCPFI3GBVF5TF6MCHPHLSI","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":"07bd0487f10abe5d4b69c415ac8e7e3667e051a6efdeff4a701336762bfb4751","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-06T00:14:38Z","title_canon_sha256":"2037943dabf83c691fcffc0cbc7c2e5611a373a3c37001d042161dc8d5ad9905"},"schema_version":"1.0","source":{"id":"1910.02344","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.02344","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"1910.02344v2","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.02344","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"AGBRPCPFI3GB","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_16","alias_value":"AGBRPCPFI3GBVF5T","created_at":"2026-07-05T00:17:55Z"},{"alias_kind":"pith_short_8","alias_value":"AGBRPCPF","created_at":"2026-07-05T00:17:55Z"}],"graph_snapshots":[{"event_id":"sha256:0c07dd707474a32307fb45eabd97c276b4b703b5a9eed46a6f41c792b07c0cbe","target":"graph","created_at":"2026-07-05T00:17:55Z","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/1910.02344/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For embodied agents to infer representations of the underlying 3D physical world they inhabit, they should efficiently combine multisensory cues from numerous trials, e.g., by looking at and touching objects. Despite its importance, multisensory 3D scene representation learning has received less attention compared to the unimodal setting. In this paper, we propose the Generative Multisensory Network (GMN) for learning latent representations of 3D scenes which are partially observable through multiple sensory modalities. We also introduce a novel method, called the Amortized Product-of-Experts,","authors_text":"Christopher Pal, Jae Hyun Lim, Negar Rostamzadeh, Pedro O. Pinheiro, Sungjin Ahn","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-06T00:14:38Z","title":"Neural Multisensory Scene Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.02344","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":"sha256:56b18d2ad0b284423425b21a3e5030c75195c7251200d12df15884e11e1042ab","target":"record","created_at":"2026-07-05T00:17:55Z","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":"07bd0487f10abe5d4b69c415ac8e7e3667e051a6efdeff4a701336762bfb4751","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-06T00:14:38Z","title_canon_sha256":"2037943dabf83c691fcffc0cbc7c2e5611a373a3c37001d042161dc8d5ad9905"},"schema_version":"1.0","source":{"id":"1910.02344","kind":"arxiv","version":2}},"canonical_sha256":"01831789e546cc1a97b32f9823bceb9233e8be6a2fa7b452fadac11780eb9d0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01831789e546cc1a97b32f9823bceb9233e8be6a2fa7b452fadac11780eb9d0b","first_computed_at":"2026-07-05T00:17:55.298275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:17:55.298275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R3VWL70QqUcZeZLe68eqwQy0W9Ta3CK6aO0b2MeOnO/JfdhDPS761rp4610HdZ4eagaMsJ5Zcq4itryeFis3Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:17:55.298706Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.02344","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56b18d2ad0b284423425b21a3e5030c75195c7251200d12df15884e11e1042ab","sha256:0c07dd707474a32307fb45eabd97c276b4b703b5a9eed46a6f41c792b07c0cbe"],"state_sha256":"fcb20f3de8a2984b3094f9de2d2a5e36dd90cd68a6a03a89d7d75499b948226d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wiLII9ANeID5+y7kB3ILIsSNxoMBu7BVHMHWRaf0n2gWSFGWO3X/hNc31brTpJS51nIHjW9Bo4xQZ1SwMvdXBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:03:28.981411Z","bundle_sha256":"ccbcbcc41d87edf6debd7c47a2088efb8266dcf642f573d980fc1bcf6199f09a"}}