{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:2QWEUFEINZINNSJ22HXNJZ3SO5","short_pith_number":"pith:2QWEUFEI","canonical_record":{"source":{"id":"1612.02541","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-08T06:20:03Z","cross_cats_sorted":[],"title_canon_sha256":"108eab6bea2b5bd6ef7ebfbf7c15adf98ead8b060eec18b43d1806c53354ce75","abstract_canon_sha256":"28a565b7819b63758c16c8153eb83c15ec9991d3dc4bfa0d65b11be1b5c6aee7"},"schema_version":"1.0"},"canonical_sha256":"d42c4a14886e50d6c93ad1eed4e772774b24d4ddce048ad2d21aecce20535139","source":{"kind":"arxiv","id":"1612.02541","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.02541","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"arxiv_version","alias_value":"1612.02541v2","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.02541","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"pith_short_12","alias_value":"2QWEUFEINZIN","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2QWEUFEINZINNSJ2","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2QWEUFEI","created_at":"2026-05-18T12:29:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:2QWEUFEINZINNSJ22HXNJZ3SO5","target":"record","payload":{"canonical_record":{"source":{"id":"1612.02541","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-08T06:20:03Z","cross_cats_sorted":[],"title_canon_sha256":"108eab6bea2b5bd6ef7ebfbf7c15adf98ead8b060eec18b43d1806c53354ce75","abstract_canon_sha256":"28a565b7819b63758c16c8153eb83c15ec9991d3dc4bfa0d65b11be1b5c6aee7"},"schema_version":"1.0"},"canonical_sha256":"d42c4a14886e50d6c93ad1eed4e772774b24d4ddce048ad2d21aecce20535139","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:51.946913Z","signature_b64":"NHlDWQrd/J1kqJyNmiybf852QyWv9NoyoMGxgdfwTEZtyHBuFa0FGwIVtV9N/oeS7wkfg4xuUxZloTaSwhgmAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d42c4a14886e50d6c93ad1eed4e772774b24d4ddce048ad2d21aecce20535139","last_reissued_at":"2026-05-18T00:44:51.946416Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:51.946416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.02541","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":"2026-05-18T00:44:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FtWYCncTI9xD/JqAOOROrsHTbEupt5Bu8EJnyri4zYhZDFq/rnBvq65dpZ4MkWHRqJysuHJF8LYaSEb5E0eUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T19:14:25.442680Z"},"content_sha256":"d8d34f7dc25f075bfd3b9956c1e6dec6e67faad18ae35622cb15b9a379d94a45","schema_version":"1.0","event_id":"sha256:d8d34f7dc25f075bfd3b9956c1e6dec6e67faad18ae35622cb15b9a379d94a45"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:2QWEUFEINZINNSJ22HXNJZ3SO5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Query-adaptive Image Retrieval by Deep Weighted Hashing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jian Zhang, Yuxin Peng","submitted_at":"2016-12-08T06:20:03Z","abstract_excerpt":"Hashing methods have attracted much attention for large scale image retrieval. Some deep hashing methods have achieved promising results by taking advantage of the strong representation power of deep networks recently. However, existing deep hashing methods treat all hash bits equally. On one hand, a large number of images share the same distance to a query image due to the discrete Hamming distance, which raises a critical issue of image retrieval where fine-grained rankings are very important. On the other hand, different hash bits actually contribute to the image retrieval differently, and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.02541","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":"2026-05-18T00:44:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HGtlCdeIdyWxOjeEg0dHI68AmkeKnRc7Uj+EAON35Z7es0EiX7h+XEuCtqYlm5razwe5X+/l/UIt6OD9kjduBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T19:14:25.443525Z"},"content_sha256":"c1d6101c1357e28798511e442652feed37c945be9f1ab5db90f2666c8c299f0d","schema_version":"1.0","event_id":"sha256:c1d6101c1357e28798511e442652feed37c945be9f1ab5db90f2666c8c299f0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/bundle.json","state_url":"https://pith.science/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/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":"2026-05-30T19:14:25Z","links":{"resolver":"https://pith.science/pith/2QWEUFEINZINNSJ22HXNJZ3SO5","bundle":"https://pith.science/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/bundle.json","state":"https://pith.science/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QWEUFEINZINNSJ22HXNJZ3SO5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:2QWEUFEINZINNSJ22HXNJZ3SO5","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":"28a565b7819b63758c16c8153eb83c15ec9991d3dc4bfa0d65b11be1b5c6aee7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-08T06:20:03Z","title_canon_sha256":"108eab6bea2b5bd6ef7ebfbf7c15adf98ead8b060eec18b43d1806c53354ce75"},"schema_version":"1.0","source":{"id":"1612.02541","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.02541","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"arxiv_version","alias_value":"1612.02541v2","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.02541","created_at":"2026-05-18T00:44:51Z"},{"alias_kind":"pith_short_12","alias_value":"2QWEUFEINZIN","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2QWEUFEINZINNSJ2","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2QWEUFEI","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:c1d6101c1357e28798511e442652feed37c945be9f1ab5db90f2666c8c299f0d","target":"graph","created_at":"2026-05-18T00:44:51Z","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":"Hashing methods have attracted much attention for large scale image retrieval. Some deep hashing methods have achieved promising results by taking advantage of the strong representation power of deep networks recently. However, existing deep hashing methods treat all hash bits equally. On one hand, a large number of images share the same distance to a query image due to the discrete Hamming distance, which raises a critical issue of image retrieval where fine-grained rankings are very important. On the other hand, different hash bits actually contribute to the image retrieval differently, and ","authors_text":"Jian Zhang, Yuxin Peng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-08T06:20:03Z","title":"Query-adaptive Image Retrieval by Deep Weighted Hashing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.02541","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:d8d34f7dc25f075bfd3b9956c1e6dec6e67faad18ae35622cb15b9a379d94a45","target":"record","created_at":"2026-05-18T00:44:51Z","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":"28a565b7819b63758c16c8153eb83c15ec9991d3dc4bfa0d65b11be1b5c6aee7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-08T06:20:03Z","title_canon_sha256":"108eab6bea2b5bd6ef7ebfbf7c15adf98ead8b060eec18b43d1806c53354ce75"},"schema_version":"1.0","source":{"id":"1612.02541","kind":"arxiv","version":2}},"canonical_sha256":"d42c4a14886e50d6c93ad1eed4e772774b24d4ddce048ad2d21aecce20535139","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d42c4a14886e50d6c93ad1eed4e772774b24d4ddce048ad2d21aecce20535139","first_computed_at":"2026-05-18T00:44:51.946416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:51.946416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NHlDWQrd/J1kqJyNmiybf852QyWv9NoyoMGxgdfwTEZtyHBuFa0FGwIVtV9N/oeS7wkfg4xuUxZloTaSwhgmAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:51.946913Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.02541","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8d34f7dc25f075bfd3b9956c1e6dec6e67faad18ae35622cb15b9a379d94a45","sha256:c1d6101c1357e28798511e442652feed37c945be9f1ab5db90f2666c8c299f0d"],"state_sha256":"f5f0bf90832c601440aa6a1cc2d6efca73e482a85f4dba8d561e93f9ef3057e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgHwKWs1DPsGqQxGOdMTkMzebZ7tty8B90+SYd7FK6ykNdQx3adyKhwDz5xmNGxQWewaSrSOUje1I6v6arGPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T19:14:25.446788Z","bundle_sha256":"3d57220bd6b62c09ad736bb7ece100698deefe8de5485767c90cb48d262fb64a"}}