{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:NOUREWPJ3WKD5RIOCQ2UI5RX2J","short_pith_number":"pith:NOUREWPJ","canonical_record":{"source":{"id":"1502.00030","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-30T22:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"8f4663c46076d6ce34b0b89b6ebc4c54da615af0bef6651db1db5b711fd0e568","abstract_canon_sha256":"2736c568533b78f11d8b3ad6367cb67735b97c76056b284ea9e7bcc206ea1d5c"},"schema_version":"1.0"},"canonical_sha256":"6ba91259e9dd943ec50e1435447637d2556d2a44d971300b68e3c7cc98d2bd56","source":{"kind":"arxiv","id":"1502.00030","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.00030","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"arxiv_version","alias_value":"1502.00030v1","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.00030","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"pith_short_12","alias_value":"NOUREWPJ3WKD","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"NOUREWPJ3WKD5RIO","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"NOUREWPJ","created_at":"2026-05-18T12:29:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:NOUREWPJ3WKD5RIOCQ2UI5RX2J","target":"record","payload":{"canonical_record":{"source":{"id":"1502.00030","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-30T22:04:12Z","cross_cats_sorted":[],"title_canon_sha256":"8f4663c46076d6ce34b0b89b6ebc4c54da615af0bef6651db1db5b711fd0e568","abstract_canon_sha256":"2736c568533b78f11d8b3ad6367cb67735b97c76056b284ea9e7bcc206ea1d5c"},"schema_version":"1.0"},"canonical_sha256":"6ba91259e9dd943ec50e1435447637d2556d2a44d971300b68e3c7cc98d2bd56","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:28:12.984389Z","signature_b64":"HPxZ9cJWC1g++GyHb332nmMMkY6IO3ix++pCA7VYXULNXVVDMbAbHjUjGO/R2jYmjgWjdAB5niMDNqYQY5c2Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ba91259e9dd943ec50e1435447637d2556d2a44d971300b68e3c7cc98d2bd56","last_reissued_at":"2026-05-18T02:28:12.983711Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:28:12.983711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1502.00030","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":"2026-05-18T02:28:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PlglA8EEfrlka13sPi9orLS0XmJZ4Eljo7baUmtuz4Tapkvz2n424Ki53VBbJJbtjj/BxEbRCtKEkQjUN7jeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:46:59.814787Z"},"content_sha256":"3cb97f2e19c1a39bbcadfe54799b675fdcf84dbc5ae70b8f7824bfd31ead26c5","schema_version":"1.0","event_id":"sha256:3cb97f2e19c1a39bbcadfe54799b675fdcf84dbc5ae70b8f7824bfd31ead26c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:NOUREWPJ3WKD5RIOCQ2UI5RX2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SHOE: Supervised Hashing with Output Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"David Doermann, Larry S. Davis, Sravanthi Bondugula, Varun Manjunatha","submitted_at":"2015-01-30T22:04:12Z","abstract_excerpt":"We present a supervised binary encoding scheme for image retrieval that learns projections by taking into account similarity between classes obtained from output embeddings. Our motivation is that binary hash codes learned in this way improve both the visual quality of retrieval results and existing supervised hashing schemes. We employ a sequential greedy optimization that learns relationship aware projections by minimizing the difference between inner products of binary codes and output embedding vectors. We develop a joint optimization framework to learn projections which improve the accura"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.00030","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":""},"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":"2026-05-18T02:28:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/CI1QoaVSFkKOt1yUeha0rr7XQX1Y3KNQ6BSTWE7VNTNdFlTn8Sdk8/6JJFwloHutZfZpdig/AkJLP7FoLyAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:46:59.815475Z"},"content_sha256":"6aa33ef78776040de9bff920b36cdd3b0bfc69b729e1c1533ae8ab1ca556f896","schema_version":"1.0","event_id":"sha256:6aa33ef78776040de9bff920b36cdd3b0bfc69b729e1c1533ae8ab1ca556f896"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/bundle.json","state_url":"https://pith.science/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/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":"2026-05-30T07:46:59Z","links":{"resolver":"https://pith.science/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J","bundle":"https://pith.science/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/bundle.json","state":"https://pith.science/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NOUREWPJ3WKD5RIOCQ2UI5RX2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:NOUREWPJ3WKD5RIOCQ2UI5RX2J","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":"2736c568533b78f11d8b3ad6367cb67735b97c76056b284ea9e7bcc206ea1d5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-30T22:04:12Z","title_canon_sha256":"8f4663c46076d6ce34b0b89b6ebc4c54da615af0bef6651db1db5b711fd0e568"},"schema_version":"1.0","source":{"id":"1502.00030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.00030","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"arxiv_version","alias_value":"1502.00030v1","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.00030","created_at":"2026-05-18T02:28:12Z"},{"alias_kind":"pith_short_12","alias_value":"NOUREWPJ3WKD","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"NOUREWPJ3WKD5RIO","created_at":"2026-05-18T12:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"NOUREWPJ","created_at":"2026-05-18T12:29:34Z"}],"graph_snapshots":[{"event_id":"sha256:6aa33ef78776040de9bff920b36cdd3b0bfc69b729e1c1533ae8ab1ca556f896","target":"graph","created_at":"2026-05-18T02:28:12Z","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":"We present a supervised binary encoding scheme for image retrieval that learns projections by taking into account similarity between classes obtained from output embeddings. Our motivation is that binary hash codes learned in this way improve both the visual quality of retrieval results and existing supervised hashing schemes. We employ a sequential greedy optimization that learns relationship aware projections by minimizing the difference between inner products of binary codes and output embedding vectors. We develop a joint optimization framework to learn projections which improve the accura","authors_text":"David Doermann, Larry S. Davis, Sravanthi Bondugula, Varun Manjunatha","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-30T22:04:12Z","title":"SHOE: Supervised Hashing with Output Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.00030","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":"sha256:3cb97f2e19c1a39bbcadfe54799b675fdcf84dbc5ae70b8f7824bfd31ead26c5","target":"record","created_at":"2026-05-18T02:28:12Z","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":"2736c568533b78f11d8b3ad6367cb67735b97c76056b284ea9e7bcc206ea1d5c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-30T22:04:12Z","title_canon_sha256":"8f4663c46076d6ce34b0b89b6ebc4c54da615af0bef6651db1db5b711fd0e568"},"schema_version":"1.0","source":{"id":"1502.00030","kind":"arxiv","version":1}},"canonical_sha256":"6ba91259e9dd943ec50e1435447637d2556d2a44d971300b68e3c7cc98d2bd56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ba91259e9dd943ec50e1435447637d2556d2a44d971300b68e3c7cc98d2bd56","first_computed_at":"2026-05-18T02:28:12.983711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:28:12.983711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HPxZ9cJWC1g++GyHb332nmMMkY6IO3ix++pCA7VYXULNXVVDMbAbHjUjGO/R2jYmjgWjdAB5niMDNqYQY5c2Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:28:12.984389Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.00030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cb97f2e19c1a39bbcadfe54799b675fdcf84dbc5ae70b8f7824bfd31ead26c5","sha256:6aa33ef78776040de9bff920b36cdd3b0bfc69b729e1c1533ae8ab1ca556f896"],"state_sha256":"b5deeea6da92f651fb1a28e13eebc8c245ebf1a8c75309e2c72071f3a5dfc6e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"skn0S0laPf3YHG7BOq4Eqd4paLyLiMkdu0roD6a2uLxFLCjqwhQcNr4oDemHQPeV1SKSrZQ7EO0h7YXlSHqiDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T07:46:59.818265Z","bundle_sha256":"a753c9a8f15a9d2a877340b1280f4e03206a01281705d95edff9dff7a028f38d"}}