{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DFOPX46XEWVHIWL2ZD6K63PMSS","short_pith_number":"pith:DFOPX46X","canonical_record":{"source":{"id":"2005.10477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-21T06:11:33Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"92c9b2e35983a6e8c4e6f23d2d1b56f80494e29cc4c01e2404c571dc9cd9a4cb","abstract_canon_sha256":"6bfce18dc407814faf3999031a56ffe833f0faf8175a64fde50101442fceb3a5"},"schema_version":"1.0"},"canonical_sha256":"195cfbf3d725aa74597ac8fcaf6dec94ac7234a2cb389e3a5a5e19e20784a0fb","source":{"kind":"arxiv","id":"2005.10477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.10477","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2005.10477v1","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.10477","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"DFOPX46XEWVH","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"DFOPX46XEWVHIWL2","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"DFOPX46X","created_at":"2026-07-05T01:04:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DFOPX46XEWVHIWL2ZD6K63PMSS","target":"record","payload":{"canonical_record":{"source":{"id":"2005.10477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-21T06:11:33Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"92c9b2e35983a6e8c4e6f23d2d1b56f80494e29cc4c01e2404c571dc9cd9a4cb","abstract_canon_sha256":"6bfce18dc407814faf3999031a56ffe833f0faf8175a64fde50101442fceb3a5"},"schema_version":"1.0"},"canonical_sha256":"195cfbf3d725aa74597ac8fcaf6dec94ac7234a2cb389e3a5a5e19e20784a0fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:04:54.475194Z","signature_b64":"rZeT+m9KJKIxw+uLWexRnapI+F+s9oZVFf5HlhwQvRjqPE750JrANoJzh2YCcNu+25yseb4b3n6Qwjh1KbkpDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"195cfbf3d725aa74597ac8fcaf6dec94ac7234a2cb389e3a5a5e19e20784a0fb","last_reissued_at":"2026-07-05T01:04:54.474787Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:04:54.474787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.10477","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":"2026-07-05T01:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"19K8wZLU+QHP5qa8DOerXfpyRJDyBpjVoT8jQUnylA0OrbusfQVb4NHMLSklqrBCICUTA+yp1keUJcyOz3QyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:19:08.962274Z"},"content_sha256":"ec5515006d1be2071e6c80ef617b1997c04b3d21ef12c2b8c525510f82c9d400","schema_version":"1.0","event_id":"sha256:ec5515006d1be2071e6c80ef617b1997c04b3d21ef12c2b8c525510f82c9d400"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DFOPX46XEWVHIWL2ZD6K63PMSS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Mingyuan Zhou, Mingzhang Yin, Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian","submitted_at":"2020-05-21T06:11:33Z","abstract_excerpt":"Semantic hashing has become a crucial component of fast similarity search in many large-scale information retrieval systems, in particular, for text data. Variational auto-encoders (VAEs) with binary latent variables as hashing codes provide state-of-the-art performance in terms of precision for document retrieval. We propose a pairwise loss function with discrete latent VAE to reward within-class similarity and between-class dissimilarity for supervised hashing. Instead of solving the optimization relying on existing biased gradient estimators, an unbiased low-variance gradient estimator is a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.10477","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.10477/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":"2026-07-05T01:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yLz3ot8IRKWo+EoTXoq5d4VZrYBqNJVHMPNzEP4e7cSdum/dDX2B9o2cgw4JDYXnG+e9hhXLn8t+i2LI62nGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:19:08.963150Z"},"content_sha256":"463000ddb5c61b4e4b84a6a27ed3cdb3f17ac677558125729df7555ca6fad8cd","schema_version":"1.0","event_id":"sha256:463000ddb5c61b4e4b84a6a27ed3cdb3f17ac677558125729df7555ca6fad8cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/bundle.json","state_url":"https://pith.science/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/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":"2026-08-10T23:19:08Z","links":{"resolver":"https://pith.science/pith/DFOPX46XEWVHIWL2ZD6K63PMSS","bundle":"https://pith.science/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/bundle.json","state":"https://pith.science/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFOPX46XEWVHIWL2ZD6K63PMSS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DFOPX46XEWVHIWL2ZD6K63PMSS","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":"6bfce18dc407814faf3999031a56ffe833f0faf8175a64fde50101442fceb3a5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-21T06:11:33Z","title_canon_sha256":"92c9b2e35983a6e8c4e6f23d2d1b56f80494e29cc4c01e2404c571dc9cd9a4cb"},"schema_version":"1.0","source":{"id":"2005.10477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.10477","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2005.10477v1","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.10477","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"DFOPX46XEWVH","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"DFOPX46XEWVHIWL2","created_at":"2026-07-05T01:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"DFOPX46X","created_at":"2026-07-05T01:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:463000ddb5c61b4e4b84a6a27ed3cdb3f17ac677558125729df7555ca6fad8cd","target":"graph","created_at":"2026-07-05T01:04:54Z","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/2005.10477/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic hashing has become a crucial component of fast similarity search in many large-scale information retrieval systems, in particular, for text data. Variational auto-encoders (VAEs) with binary latent variables as hashing codes provide state-of-the-art performance in terms of precision for document retrieval. We propose a pairwise loss function with discrete latent VAE to reward within-class similarity and between-class dissimilarity for supervised hashing. Instead of solving the optimization relying on existing biased gradient estimators, an unbiased low-variance gradient estimator is a","authors_text":"Mingyuan Zhou, Mingzhang Yin, Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-21T06:11:33Z","title":"Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.10477","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:ec5515006d1be2071e6c80ef617b1997c04b3d21ef12c2b8c525510f82c9d400","target":"record","created_at":"2026-07-05T01:04:54Z","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":"6bfce18dc407814faf3999031a56ffe833f0faf8175a64fde50101442fceb3a5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-21T06:11:33Z","title_canon_sha256":"92c9b2e35983a6e8c4e6f23d2d1b56f80494e29cc4c01e2404c571dc9cd9a4cb"},"schema_version":"1.0","source":{"id":"2005.10477","kind":"arxiv","version":1}},"canonical_sha256":"195cfbf3d725aa74597ac8fcaf6dec94ac7234a2cb389e3a5a5e19e20784a0fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"195cfbf3d725aa74597ac8fcaf6dec94ac7234a2cb389e3a5a5e19e20784a0fb","first_computed_at":"2026-07-05T01:04:54.474787Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:04:54.474787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rZeT+m9KJKIxw+uLWexRnapI+F+s9oZVFf5HlhwQvRjqPE750JrANoJzh2YCcNu+25yseb4b3n6Qwjh1KbkpDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:04:54.475194Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.10477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec5515006d1be2071e6c80ef617b1997c04b3d21ef12c2b8c525510f82c9d400","sha256:463000ddb5c61b4e4b84a6a27ed3cdb3f17ac677558125729df7555ca6fad8cd"],"state_sha256":"40e88f45d2b4ea76369939591e3fc2a9ecea6c8b75237f99200e40f3731476c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HB2sz2/DIpNl0Kt+/mIHU2l2WWbh2ROpqfju5qBrSCEYEUYq7jUONrYKQr5BYPMb4v4TG6ioqfXqs//luXvoBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T23:19:08.970305Z","bundle_sha256":"3424caf6ccbf9efa510a8c48a045ca7eaa8ccfa03d1f09d5b9eeafd9db8d36a7"}}