{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:YOWVIAS5XN47U2H7DCSY6CCVWC","short_pith_number":"pith:YOWVIAS5","canonical_record":{"source":{"id":"1902.00617","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-02T02:07:51Z","cross_cats_sorted":[],"title_canon_sha256":"882fa03264899cc38746aa754187de0eaa1ffcb00e2746d8270ba51b8ae2167d","abstract_canon_sha256":"ff18f8033476f9e11ef9a14b1dd4fb4237cc6cc22e878de1e004ab7919082473"},"schema_version":"1.0"},"canonical_sha256":"c3ad54025dbb79fa68ff18a58f0855b0947ad25ad172ec0d7e694b7a93a02157","source":{"kind":"arxiv","id":"1902.00617","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00617","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00617v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00617","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"YOWVIAS5XN47","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YOWVIAS5XN47U2H7","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YOWVIAS5","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:YOWVIAS5XN47U2H7DCSY6CCVWC","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00617","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-02T02:07:51Z","cross_cats_sorted":[],"title_canon_sha256":"882fa03264899cc38746aa754187de0eaa1ffcb00e2746d8270ba51b8ae2167d","abstract_canon_sha256":"ff18f8033476f9e11ef9a14b1dd4fb4237cc6cc22e878de1e004ab7919082473"},"schema_version":"1.0"},"canonical_sha256":"c3ad54025dbb79fa68ff18a58f0855b0947ad25ad172ec0d7e694b7a93a02157","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:52.659354Z","signature_b64":"0ubtUcILATBepXqW2vrZRCZQ9VtWcR/yRSrOSaF/F3Y4rbqeLE8/3Diw3BZbhDK0TTDVurxFaSQQ1s5x0lRMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3ad54025dbb79fa68ff18a58f0855b0947ad25ad172ec0d7e694b7a93a02157","last_reissued_at":"2026-05-17T23:54:52.658876Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:52.658876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00617","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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qdolcnXGhWncDsBNQol6wTE5AZJAXsanpG655czYuAEl0z8L9H/MZZpIxSYU9bERaTL17xM+XccUGbBtxRbuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T10:37:41.522199Z"},"content_sha256":"569f14d3f0be1b9f7986785cde8ac999115d99040f5cf8418da4eecaad3403b2","schema_version":"1.0","event_id":"sha256:569f14d3f0be1b9f7986785cde8ac999115d99040f5cf8418da4eecaad3403b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:YOWVIAS5XN47U2H7DCSY6CCVWC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Supervised Quantization for Similarity Search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guo-Jun Q, Jingdong Wang, Jinhui Tang, Ting Zhang, XiaoJuan Wang","submitted_at":"2019-02-02T02:07:51Z","abstract_excerpt":"In this paper, we address the problem of searching for semantically similar images from a large database. We present a compact coding approach, supervised quantization. Our approach simultaneously learns feature selection that linearly transforms the database points into a low-dimensional discriminative subspace, and quantizes the data points in the transformed space. The optimization criterion is that the quantized points not only approximate the transformed points accurately, but also are semantically separable: the points belonging to a class lie in a cluster that is not overlapped with oth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00617","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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sfaeZwJeXo5iNzlWevtZV8kd5PN4NZDTtY6RVbL7T51lhXpp1mAGTCNvAafabfftVcLn1lE8inYVQK4uxEZ+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T10:37:41.522936Z"},"content_sha256":"13ef3bac49e2f864d91ec4d301618e016e799fb23fbc97d9c40ab14a88e2174b","schema_version":"1.0","event_id":"sha256:13ef3bac49e2f864d91ec4d301618e016e799fb23fbc97d9c40ab14a88e2174b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/bundle.json","state_url":"https://pith.science/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/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":"2026-05-31T10:37:41Z","links":{"resolver":"https://pith.science/pith/YOWVIAS5XN47U2H7DCSY6CCVWC","bundle":"https://pith.science/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/bundle.json","state":"https://pith.science/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YOWVIAS5XN47U2H7DCSY6CCVWC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YOWVIAS5XN47U2H7DCSY6CCVWC","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":"ff18f8033476f9e11ef9a14b1dd4fb4237cc6cc22e878de1e004ab7919082473","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-02T02:07:51Z","title_canon_sha256":"882fa03264899cc38746aa754187de0eaa1ffcb00e2746d8270ba51b8ae2167d"},"schema_version":"1.0","source":{"id":"1902.00617","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00617","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00617v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00617","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"YOWVIAS5XN47","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YOWVIAS5XN47U2H7","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YOWVIAS5","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:13ef3bac49e2f864d91ec4d301618e016e799fb23fbc97d9c40ab14a88e2174b","target":"graph","created_at":"2026-05-17T23:54:52Z","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":"In this paper, we address the problem of searching for semantically similar images from a large database. We present a compact coding approach, supervised quantization. Our approach simultaneously learns feature selection that linearly transforms the database points into a low-dimensional discriminative subspace, and quantizes the data points in the transformed space. The optimization criterion is that the quantized points not only approximate the transformed points accurately, but also are semantically separable: the points belonging to a class lie in a cluster that is not overlapped with oth","authors_text":"Guo-Jun Q, Jingdong Wang, Jinhui Tang, Ting Zhang, XiaoJuan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-02T02:07:51Z","title":"Supervised Quantization for Similarity Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00617","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":"sha256:569f14d3f0be1b9f7986785cde8ac999115d99040f5cf8418da4eecaad3403b2","target":"record","created_at":"2026-05-17T23:54:52Z","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":"ff18f8033476f9e11ef9a14b1dd4fb4237cc6cc22e878de1e004ab7919082473","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-02T02:07:51Z","title_canon_sha256":"882fa03264899cc38746aa754187de0eaa1ffcb00e2746d8270ba51b8ae2167d"},"schema_version":"1.0","source":{"id":"1902.00617","kind":"arxiv","version":1}},"canonical_sha256":"c3ad54025dbb79fa68ff18a58f0855b0947ad25ad172ec0d7e694b7a93a02157","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3ad54025dbb79fa68ff18a58f0855b0947ad25ad172ec0d7e694b7a93a02157","first_computed_at":"2026-05-17T23:54:52.658876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:52.658876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0ubtUcILATBepXqW2vrZRCZQ9VtWcR/yRSrOSaF/F3Y4rbqeLE8/3Diw3BZbhDK0TTDVurxFaSQQ1s5x0lRMCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:52.659354Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00617","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:569f14d3f0be1b9f7986785cde8ac999115d99040f5cf8418da4eecaad3403b2","sha256:13ef3bac49e2f864d91ec4d301618e016e799fb23fbc97d9c40ab14a88e2174b"],"state_sha256":"641dc54805297133b6c712bc293b32b89bc8aa70c9327b888e6664152371b3c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jI/8zhRC5etxQ0kVj6qmOamTvnjn8USX/OIs6SSKqcjM252GTZmQpAFGpkUgUMJvWScbyPjRYRCYjPVmKqgEDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T10:37:41.526534Z","bundle_sha256":"ad96f9fdd704b3b1700a59145b72354e284945b49e70e9bdeb78108859238c92"}}