{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CL2W3HBUQ5HUY34YUWHOYOJJ7V","short_pith_number":"pith:CL2W3HBU","canonical_record":{"source":{"id":"2010.07804","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T14:47:14Z","cross_cats_sorted":[],"title_canon_sha256":"a47d9d0c9a26434047e90071e909a76d1fdefde3729cbfbb38c8f1e6d929f7eb","abstract_canon_sha256":"dd9944054bc6992ca56beb157e15ba9ebd5161e44dce3d94fcdf72048fd10004"},"schema_version":"1.0"},"canonical_sha256":"12f56d9c34874f4c6f98a58eec3929fd4fdc5cb463027efc3d94841b5b34d022","source":{"kind":"arxiv","id":"2010.07804","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.07804","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"arxiv_version","alias_value":"2010.07804v4","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.07804","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_12","alias_value":"CL2W3HBUQ5HU","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_16","alias_value":"CL2W3HBUQ5HUY34Y","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_8","alias_value":"CL2W3HBU","created_at":"2026-07-05T03:07:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CL2W3HBUQ5HUY34YUWHOYOJJ7V","target":"record","payload":{"canonical_record":{"source":{"id":"2010.07804","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T14:47:14Z","cross_cats_sorted":[],"title_canon_sha256":"a47d9d0c9a26434047e90071e909a76d1fdefde3729cbfbb38c8f1e6d929f7eb","abstract_canon_sha256":"dd9944054bc6992ca56beb157e15ba9ebd5161e44dce3d94fcdf72048fd10004"},"schema_version":"1.0"},"canonical_sha256":"12f56d9c34874f4c6f98a58eec3929fd4fdc5cb463027efc3d94841b5b34d022","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:07:44.594165Z","signature_b64":"fcTcTUI5XQfWiqwqRzLdV4k5Y0Kn+xkRYPiMRE50b3mLcBqhjIMvbJiLwdHMLf7JAfz8YdQ42r811g+pbdEgCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12f56d9c34874f4c6f98a58eec3929fd4fdc5cb463027efc3d94841b5b34d022","last_reissued_at":"2026-07-05T03:07:44.593792Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:07:44.593792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.07804","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:07:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ebw7Ta3Fm35YaRinZZH1MK0IC1DuAlLtMJf4YmjLgTV8hD1NaEENKd4uHWli6JluJpcdpjWJSxWQMuSw/kjxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:34:16.128537Z"},"content_sha256":"714e507f1c26a38a91173dca938d66b181cb41d3fe60c5b495d044e34681a067","schema_version":"1.0","event_id":"sha256:714e507f1c26a38a91173dca938d66b181cb41d3fe60c5b495d044e34681a067"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CL2W3HBUQ5HUY34YUWHOYOJJ7V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CIMON: Towards High-quality Hash Codes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chong Chen, Daqing Wu, Jianqiang Huang, Jinwen Ma, Minghua Deng, Xian-Sheng Hua, Xiao Luo, Zeyu Ma, Zhongming Jin","submitted_at":"2020-10-15T14:47:14Z","abstract_excerpt":"Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images into semantic similarity-preserving hash codes by constructing local semantic similarity structure from the pre-trained model as the guiding information, i.e., treating each point pair similar if their distance is small in feature space. However, due to the inefficient representation ability of the pre-trained model, many false positives and negatives in local semantic similarity will be introduced and lead to error p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.07804","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.07804/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:07:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fumvdKvGTy1Fha/aJXgVp3mfSpvse5xd5AIotaCc2eLyNBsOZ5igcaAAchhOD7vYy7a4mWNzM0hlZw3IklKZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:34:16.129045Z"},"content_sha256":"1d33d3a360a89e53f52f6d11bc14dcbe3ef2e4b0df93b1ad7b5f423efb9fa8e3","schema_version":"1.0","event_id":"sha256:1d33d3a360a89e53f52f6d11bc14dcbe3ef2e4b0df93b1ad7b5f423efb9fa8e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/bundle.json","state_url":"https://pith.science/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/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":"2026-08-10T20:34:16Z","links":{"resolver":"https://pith.science/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V","bundle":"https://pith.science/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/bundle.json","state":"https://pith.science/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CL2W3HBUQ5HUY34YUWHOYOJJ7V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CL2W3HBUQ5HUY34YUWHOYOJJ7V","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":"dd9944054bc6992ca56beb157e15ba9ebd5161e44dce3d94fcdf72048fd10004","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T14:47:14Z","title_canon_sha256":"a47d9d0c9a26434047e90071e909a76d1fdefde3729cbfbb38c8f1e6d929f7eb"},"schema_version":"1.0","source":{"id":"2010.07804","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.07804","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"arxiv_version","alias_value":"2010.07804v4","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.07804","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_12","alias_value":"CL2W3HBUQ5HU","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_16","alias_value":"CL2W3HBUQ5HUY34Y","created_at":"2026-07-05T03:07:44Z"},{"alias_kind":"pith_short_8","alias_value":"CL2W3HBU","created_at":"2026-07-05T03:07:44Z"}],"graph_snapshots":[{"event_id":"sha256:1d33d3a360a89e53f52f6d11bc14dcbe3ef2e4b0df93b1ad7b5f423efb9fa8e3","target":"graph","created_at":"2026-07-05T03:07:44Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2010.07804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images into semantic similarity-preserving hash codes by constructing local semantic similarity structure from the pre-trained model as the guiding information, i.e., treating each point pair similar if their distance is small in feature space. However, due to the inefficient representation ability of the pre-trained model, many false positives and negatives in local semantic similarity will be introduced and lead to error p","authors_text":"Chong Chen, Daqing Wu, Jianqiang Huang, Jinwen Ma, Minghua Deng, Xian-Sheng Hua, Xiao Luo, Zeyu Ma, Zhongming Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T14:47:14Z","title":"CIMON: Towards High-quality Hash Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.07804","kind":"arxiv","version":4},"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":"sha256:714e507f1c26a38a91173dca938d66b181cb41d3fe60c5b495d044e34681a067","target":"record","created_at":"2026-07-05T03:07:44Z","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":"dd9944054bc6992ca56beb157e15ba9ebd5161e44dce3d94fcdf72048fd10004","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-15T14:47:14Z","title_canon_sha256":"a47d9d0c9a26434047e90071e909a76d1fdefde3729cbfbb38c8f1e6d929f7eb"},"schema_version":"1.0","source":{"id":"2010.07804","kind":"arxiv","version":4}},"canonical_sha256":"12f56d9c34874f4c6f98a58eec3929fd4fdc5cb463027efc3d94841b5b34d022","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12f56d9c34874f4c6f98a58eec3929fd4fdc5cb463027efc3d94841b5b34d022","first_computed_at":"2026-07-05T03:07:44.593792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:07:44.593792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fcTcTUI5XQfWiqwqRzLdV4k5Y0Kn+xkRYPiMRE50b3mLcBqhjIMvbJiLwdHMLf7JAfz8YdQ42r811g+pbdEgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:07:44.594165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.07804","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:714e507f1c26a38a91173dca938d66b181cb41d3fe60c5b495d044e34681a067","sha256:1d33d3a360a89e53f52f6d11bc14dcbe3ef2e4b0df93b1ad7b5f423efb9fa8e3"],"state_sha256":"24d4d0bf328d424e11e2e36b1d089cd91c7634a3579b6cfb3b522d4fe0587eaa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2vz1xIlCbrHql8brmuGVd4LI9n3AP0pyz6ATiBuSN8QckybcJwEx/3ReWCzfCe7gjIKnPcXvCcxzBm0P6l9dCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:34:16.134127Z","bundle_sha256":"4b3d6ff87f6a3cc1dbc6b4c1f70d70e8359d61924c93ae023d8fc8d16bce278b"}}