{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P3NGBWAV524J7MT76JVSQQ6QW2","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":"8334d99c2c3291d22e2721bb434d283a05c694ccb26b372a5c58526fca01d8db","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-01T23:03:27Z","title_canon_sha256":"bf00b47f5c0f7c48596086f75c7578a1023f65b2b478fa8aa25888315d138e6d"},"schema_version":"1.0","source":{"id":"1810.01008","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01008","created_at":"2026-05-18T00:04:19Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01008v1","created_at":"2026-05-18T00:04:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01008","created_at":"2026-05-18T00:04:19Z"},{"alias_kind":"pith_short_12","alias_value":"P3NGBWAV524J","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P3NGBWAV524J7MT7","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P3NGBWAV","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:4bf1089f0285319deeb6810a8af0155ead6d7c082e3c38eba89e6fb6a6fa4b1c","target":"graph","created_at":"2026-05-18T00:04:19Z","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 powerful new loss function and training scheme for learning binary hash codes with any differentiable model and similarity function. Our loss function improves over prior methods by using log likelihood loss on top of an accurate approximation for the probability that two inputs fall within a Hamming distance target. Our novel training scheme obtains a good estimate of the true gradient by better sampling inputs and evaluating loss terms between all pairs of inputs in each minibatch. To fully leverage the resulting hashes, we use multi-indexing. We demonstrate that these technique","authors_text":"Bowei Liu, Martin Loncaric, Ryan Weber","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-01T23:03:27Z","title":"Learning Hash Codes via Hamming Distance Targets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01008","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":"sha256:230863e759f6c53f749213bd7863c1293e92f625a38c1ae93c3251cbd7025568","target":"record","created_at":"2026-05-18T00:04:19Z","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":"8334d99c2c3291d22e2721bb434d283a05c694ccb26b372a5c58526fca01d8db","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-01T23:03:27Z","title_canon_sha256":"bf00b47f5c0f7c48596086f75c7578a1023f65b2b478fa8aa25888315d138e6d"},"schema_version":"1.0","source":{"id":"1810.01008","kind":"arxiv","version":1}},"canonical_sha256":"7eda60d815eeb89fb27ff26b2843d0b6aebaef7d1541c6196db10ee997025c19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7eda60d815eeb89fb27ff26b2843d0b6aebaef7d1541c6196db10ee997025c19","first_computed_at":"2026-05-18T00:04:19.258910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:19.258910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KXlJSQoddFH3eDW0NrquQUJkU/FLXSoeAE2j1/8fMygSLBr3gZFAK95zd6SSxVRdV4QI/t/JgFb0sQXHfoD2AA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:19.259670Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.01008","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:230863e759f6c53f749213bd7863c1293e92f625a38c1ae93c3251cbd7025568","sha256:4bf1089f0285319deeb6810a8af0155ead6d7c082e3c38eba89e6fb6a6fa4b1c"],"state_sha256":"019d6436c8bb976cfd609d72861e1394c4de4e8bdd62c2cdda865e2021767754"}