{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:L3EQNTRIN3BTITRQJ5KLEUYQ2I","short_pith_number":"pith:L3EQNTRI","canonical_record":{"source":{"id":"1511.06267","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-19T17:29:00Z","cross_cats_sorted":[],"title_canon_sha256":"570f1710f890c1ef0bfbc460f7870bd0b7dd780a4466e4e5e6f1effb8b787c01","abstract_canon_sha256":"396d8462b114343928da7c1a72ced24087ee834b991bf1aab64a404e05d00313"},"schema_version":"1.0"},"canonical_sha256":"5ec906ce286ec3344e304f54b25310d2221497091c2b69fac3324c86e77bc69e","source":{"kind":"arxiv","id":"1511.06267","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06267","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06267v5","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06267","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"pith_short_12","alias_value":"L3EQNTRIN3BT","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"L3EQNTRIN3BTITRQ","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"L3EQNTRI","created_at":"2026-05-18T12:29:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:L3EQNTRIN3BTITRQJ5KLEUYQ2I","target":"record","payload":{"canonical_record":{"source":{"id":"1511.06267","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-19T17:29:00Z","cross_cats_sorted":[],"title_canon_sha256":"570f1710f890c1ef0bfbc460f7870bd0b7dd780a4466e4e5e6f1effb8b787c01","abstract_canon_sha256":"396d8462b114343928da7c1a72ced24087ee834b991bf1aab64a404e05d00313"},"schema_version":"1.0"},"canonical_sha256":"5ec906ce286ec3344e304f54b25310d2221497091c2b69fac3324c86e77bc69e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:55:52.170272Z","signature_b64":"BjHIB4DtjyiPWCD1qZCVnFETB0SGTwVA6NkAFweQH7Q7Cu3+iN5Sp/K6HClutK2tqfftK2tdmD9ho2BpGdDuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ec906ce286ec3344e304f54b25310d2221497091c2b69fac3324c86e77bc69e","last_reissued_at":"2026-05-18T00:55:52.169719Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:55:52.169719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.06267","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:55:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MxXxBs+jC78KMeOWvWOQQMxAmsT2aqbUpod2HnFJLJwq6Goo1xh6REy/Hyd6goSK4imtueGG/q1NQAtOva3GBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:25:55.852659Z"},"content_sha256":"b63e20c70f592f6ddc0dcf0fcd3957a25b7e504f9a9cd15cdce629d7af6670a6","schema_version":"1.0","event_id":"sha256:b63e20c70f592f6ddc0dcf0fcd3957a25b7e504f9a9cd15cdce629d7af6670a6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:L3EQNTRIN3BTITRQJ5KLEUYQ2I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Etienne Marcheret, Vaibhava Goel, Youssef Mroueh","submitted_at":"2015-11-19T17:29:00Z","abstract_excerpt":"Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for bidirectional retrieval of images by sentences and vice versa is a key aspect. In this paper we present three contributions in canonical correlation analysis (CCA) based multimodal retrieval. Firstly, we show that an asymmetric weighting of the canonical weights, while achieving a cross view mapping from the search to the query space, improves the retrieval performance. Secondly, we devise a computationally efficient model selection, crucial to generalization and stability,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06267","kind":"arxiv","version":5},"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":"2026-05-18T00:55:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"whb18lDdF7rj5s7/9I6M/YYM1v7KApAKgOsf4NvIaFDl4W2/K5mXq3Oh2K28v6Gfa3z+7/DqRANs2PQMincSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T01:25:55.853006Z"},"content_sha256":"b741e48e833cc1470abe4114150a21ddd4cee05043c644e46a0dab060596018d","schema_version":"1.0","event_id":"sha256:b741e48e833cc1470abe4114150a21ddd4cee05043c644e46a0dab060596018d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/bundle.json","state_url":"https://pith.science/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/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":"2026-06-04T01:25:55Z","links":{"resolver":"https://pith.science/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I","bundle":"https://pith.science/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/bundle.json","state":"https://pith.science/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L3EQNTRIN3BTITRQJ5KLEUYQ2I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:L3EQNTRIN3BTITRQJ5KLEUYQ2I","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":"396d8462b114343928da7c1a72ced24087ee834b991bf1aab64a404e05d00313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-19T17:29:00Z","title_canon_sha256":"570f1710f890c1ef0bfbc460f7870bd0b7dd780a4466e4e5e6f1effb8b787c01"},"schema_version":"1.0","source":{"id":"1511.06267","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06267","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06267v5","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06267","created_at":"2026-05-18T00:55:52Z"},{"alias_kind":"pith_short_12","alias_value":"L3EQNTRIN3BT","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"L3EQNTRIN3BTITRQ","created_at":"2026-05-18T12:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"L3EQNTRI","created_at":"2026-05-18T12:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:b741e48e833cc1470abe4114150a21ddd4cee05043c644e46a0dab060596018d","target":"graph","created_at":"2026-05-18T00:55:52Z","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":"Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for bidirectional retrieval of images by sentences and vice versa is a key aspect. In this paper we present three contributions in canonical correlation analysis (CCA) based multimodal retrieval. Firstly, we show that an asymmetric weighting of the canonical weights, while achieving a cross view mapping from the search to the query space, improves the retrieval performance. Secondly, we devise a computationally efficient model selection, crucial to generalization and stability,","authors_text":"Etienne Marcheret, Vaibhava Goel, Youssef Mroueh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-19T17:29:00Z","title":"Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06267","kind":"arxiv","version":5},"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:b63e20c70f592f6ddc0dcf0fcd3957a25b7e504f9a9cd15cdce629d7af6670a6","target":"record","created_at":"2026-05-18T00:55:52Z","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":"396d8462b114343928da7c1a72ced24087ee834b991bf1aab64a404e05d00313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-19T17:29:00Z","title_canon_sha256":"570f1710f890c1ef0bfbc460f7870bd0b7dd780a4466e4e5e6f1effb8b787c01"},"schema_version":"1.0","source":{"id":"1511.06267","kind":"arxiv","version":5}},"canonical_sha256":"5ec906ce286ec3344e304f54b25310d2221497091c2b69fac3324c86e77bc69e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ec906ce286ec3344e304f54b25310d2221497091c2b69fac3324c86e77bc69e","first_computed_at":"2026-05-18T00:55:52.169719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:55:52.169719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BjHIB4DtjyiPWCD1qZCVnFETB0SGTwVA6NkAFweQH7Q7Cu3+iN5Sp/K6HClutK2tqfftK2tdmD9ho2BpGdDuAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:55:52.170272Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.06267","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b63e20c70f592f6ddc0dcf0fcd3957a25b7e504f9a9cd15cdce629d7af6670a6","sha256:b741e48e833cc1470abe4114150a21ddd4cee05043c644e46a0dab060596018d"],"state_sha256":"85aafd1e3057bd7bb8f0e9ae4e0428efa94357816f8c710ea5720e36cd312085"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n4vRYeNFKe0tKiI9KhK080BOuCApMAIBLCom5Y2M9N63Tzw1Bw2IKryWsgOkwoW2ScAsYFd85rBcQlRJlGILDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T01:25:55.855045Z","bundle_sha256":"997d96d827bec8cf1b90309ac7a17da62f56309795d856dfd343d43f975a82bb"}}