{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:RDSWTZ6AC5YXLPUBXNAWLFPPOQ","short_pith_number":"pith:RDSWTZ6A","canonical_record":{"source":{"id":"1511.06062","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-19T05:34:35Z","cross_cats_sorted":[],"title_canon_sha256":"2c38821c2a53684da61c554f4b7c69062bd638dff6b84ce6ae0f52ece737d557","abstract_canon_sha256":"a170e16c093e33a63b8459ac404a8ccac4ae7c8567b0c333a60533cca551a2c8"},"schema_version":"1.0"},"canonical_sha256":"88e569e7c0177175be81bb416595ef741d7158ebff670258574b13c5a3e7262d","source":{"kind":"arxiv","id":"1511.06062","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06062","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06062v2","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06062","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"pith_short_12","alias_value":"RDSWTZ6AC5YX","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"RDSWTZ6AC5YXLPUB","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"RDSWTZ6A","created_at":"2026-05-18T12:29:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:RDSWTZ6AC5YXLPUBXNAWLFPPOQ","target":"record","payload":{"canonical_record":{"source":{"id":"1511.06062","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-19T05:34:35Z","cross_cats_sorted":[],"title_canon_sha256":"2c38821c2a53684da61c554f4b7c69062bd638dff6b84ce6ae0f52ece737d557","abstract_canon_sha256":"a170e16c093e33a63b8459ac404a8ccac4ae7c8567b0c333a60533cca551a2c8"},"schema_version":"1.0"},"canonical_sha256":"88e569e7c0177175be81bb416595ef741d7158ebff670258574b13c5a3e7262d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:18.320089Z","signature_b64":"98KY+6BudfHb3xx/6zLdUNVZE8WyKMFdiG1Tjhdv09P/m//tZwZutl3wmuWUzmp9r4abNV+Rrg0VOBtRRdhrBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88e569e7c0177175be81bb416595ef741d7158ebff670258574b13c5a3e7262d","last_reissued_at":"2026-05-18T01:17:18.319486Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:18.319486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.06062","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":"2026-05-18T01:17:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ZBETSJJz2sLe7rwkJEc3S4FZcNTB9v2pazVEaCQz5itTNdQ9G+Eas0vI4jdxvSOxUa15SGq0BkYvC2EcZTDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:12:41.685632Z"},"content_sha256":"88ce1973f66a7284e6839f3c2cb7442b3cbc5d88983c2f2cd5f28c5d1134d74c","schema_version":"1.0","event_id":"sha256:88ce1973f66a7284e6839f3c2cb7442b3cbc5d88983c2f2cd5f28c5d1134d74c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:RDSWTZ6AC5YXLPUBXNAWLFPPOQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compact Bilinear Pooling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ning Zhang, Oscar Beijbom, Trevor Darrell, Yang Gao","submitted_at":"2015-11-19T05:34:35Z","abstract_excerpt":"Bilinear models has been shown to achieve impressive performance on a wide range of visual tasks, such as semantic segmentation, fine grained recognition and face recognition. However, bilinear features are high dimensional, typically on the order of hundreds of thousands to a few million, which makes them impractical for subsequent analysis. We propose two compact bilinear representations with the same discriminative power as the full bilinear representation but with only a few thousand dimensions. Our compact representations allow back-propagation of classification errors enabling an end-to-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06062","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":""},"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":"2026-05-18T01:17:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z4GWplQ9kJifOCC7WecE7QYF7bgs3nTC/qYSHEgQTVWhu+tYiA1unK2o5n/TrN4AT9hmqwM+Kd6vvQlPViL5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:12:41.686366Z"},"content_sha256":"4db4f178b219ddb8a6755cb77ec85aac9d3480a7cb5af07fa4d73a8b6f928a77","schema_version":"1.0","event_id":"sha256:4db4f178b219ddb8a6755cb77ec85aac9d3480a7cb5af07fa4d73a8b6f928a77"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/bundle.json","state_url":"https://pith.science/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/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":"2026-05-27T22:12:41Z","links":{"resolver":"https://pith.science/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ","bundle":"https://pith.science/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/bundle.json","state":"https://pith.science/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RDSWTZ6AC5YXLPUBXNAWLFPPOQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:RDSWTZ6AC5YXLPUBXNAWLFPPOQ","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":"a170e16c093e33a63b8459ac404a8ccac4ae7c8567b0c333a60533cca551a2c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-19T05:34:35Z","title_canon_sha256":"2c38821c2a53684da61c554f4b7c69062bd638dff6b84ce6ae0f52ece737d557"},"schema_version":"1.0","source":{"id":"1511.06062","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06062","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06062v2","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06062","created_at":"2026-05-18T01:17:18Z"},{"alias_kind":"pith_short_12","alias_value":"RDSWTZ6AC5YX","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"RDSWTZ6AC5YXLPUB","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"RDSWTZ6A","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:4db4f178b219ddb8a6755cb77ec85aac9d3480a7cb5af07fa4d73a8b6f928a77","target":"graph","created_at":"2026-05-18T01:17:18Z","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":"Bilinear models has been shown to achieve impressive performance on a wide range of visual tasks, such as semantic segmentation, fine grained recognition and face recognition. However, bilinear features are high dimensional, typically on the order of hundreds of thousands to a few million, which makes them impractical for subsequent analysis. We propose two compact bilinear representations with the same discriminative power as the full bilinear representation but with only a few thousand dimensions. Our compact representations allow back-propagation of classification errors enabling an end-to-","authors_text":"Ning Zhang, Oscar Beijbom, Trevor Darrell, Yang Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-19T05:34:35Z","title":"Compact Bilinear Pooling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06062","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":"sha256:88ce1973f66a7284e6839f3c2cb7442b3cbc5d88983c2f2cd5f28c5d1134d74c","target":"record","created_at":"2026-05-18T01:17:18Z","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":"a170e16c093e33a63b8459ac404a8ccac4ae7c8567b0c333a60533cca551a2c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-19T05:34:35Z","title_canon_sha256":"2c38821c2a53684da61c554f4b7c69062bd638dff6b84ce6ae0f52ece737d557"},"schema_version":"1.0","source":{"id":"1511.06062","kind":"arxiv","version":2}},"canonical_sha256":"88e569e7c0177175be81bb416595ef741d7158ebff670258574b13c5a3e7262d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88e569e7c0177175be81bb416595ef741d7158ebff670258574b13c5a3e7262d","first_computed_at":"2026-05-18T01:17:18.319486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:18.319486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"98KY+6BudfHb3xx/6zLdUNVZE8WyKMFdiG1Tjhdv09P/m//tZwZutl3wmuWUzmp9r4abNV+Rrg0VOBtRRdhrBg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:18.320089Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.06062","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88ce1973f66a7284e6839f3c2cb7442b3cbc5d88983c2f2cd5f28c5d1134d74c","sha256:4db4f178b219ddb8a6755cb77ec85aac9d3480a7cb5af07fa4d73a8b6f928a77"],"state_sha256":"d82d40b5e85ef3eaebfd2060a3ddbd89d14f1d45fe624df9cd390d359345e858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QVRSnAw/lDVdJtCSfrktPQp14pA8ILuSnb80hJPOfxC25/M3Z/HAxuV6OCw67IFd0tgc3zV3WclKf7b9xEdPBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T22:12:41.689728Z","bundle_sha256":"d3982c15da61ac2890a7153055cb52181d547779875760fa5aa3c23e8c32e385"}}