{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:576HIILU7AEOZ46GDGWXVCIN6Z","short_pith_number":"pith:576HIILU","canonical_record":{"source":{"id":"2003.00134","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-02-29T00:22:53Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d47ab36228496443530494ad2e1f65b8ffbd688355858f00ba671aaaaf223549","abstract_canon_sha256":"c2558a9321549b61dbb13e63d814ef7ac0fe6281aee50c5e1f1a999d74a87ea4"},"schema_version":"1.0"},"canonical_sha256":"effc742174f808ecf3c619ad7a890df64371727ff49040fba707f3a64291699b","source":{"kind":"arxiv","id":"2003.00134","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.00134","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"arxiv_version","alias_value":"2003.00134v3","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.00134","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_12","alias_value":"576HIILU7AEO","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_16","alias_value":"576HIILU7AEOZ46G","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_8","alias_value":"576HIILU","created_at":"2026-07-05T01:05:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:576HIILU7AEOZ46GDGWXVCIN6Z","target":"record","payload":{"canonical_record":{"source":{"id":"2003.00134","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-02-29T00:22:53Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d47ab36228496443530494ad2e1f65b8ffbd688355858f00ba671aaaaf223549","abstract_canon_sha256":"c2558a9321549b61dbb13e63d814ef7ac0fe6281aee50c5e1f1a999d74a87ea4"},"schema_version":"1.0"},"canonical_sha256":"effc742174f808ecf3c619ad7a890df64371727ff49040fba707f3a64291699b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:05:44.293860Z","signature_b64":"y9NaV6NJoX/k36lh/qnkXFzWkVxXCTLidITgidvK17ZsTSk8+AAUA2CVKvHLxwDSxRPmXfUMHyzZJXTdzufiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"effc742174f808ecf3c619ad7a890df64371727ff49040fba707f3a64291699b","last_reissued_at":"2026-07-05T01:05:44.293415Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:05:44.293415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.00134","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:05:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+3EjCpa3mkLpSxI4D7OX+6QRv1CfLKFHfZsMWjEdn4b6RnT7HFl7fMV1rOrq2cCVFX+BEyMQCIw4PXgshaT/BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:21:13.097109Z"},"content_sha256":"7d46cc2b1b0f7f414fd9a481aa46951696671955902c4520e57ed25de629fe69","schema_version":"1.0","event_id":"sha256:7d46cc2b1b0f7f414fd9a481aa46951696671955902c4520e57ed25de629fe69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:576HIILU7AEOZ46GDGWXVCIN6Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.IR","authors_text":"Chandan K. Reddy, Khoa D. Doan, Sarkhan Badirli, Saurav Manchanda","submitted_at":"2020-02-29T00:22:53Z","abstract_excerpt":"Image hashing is one of the fundamental problems that demand both efficient and effective solutions for various practical scenarios. Adversarial autoencoders are shown to be able to implicitly learn a robust, locality-preserving hash function that generates balanced and high-quality hash codes. However, the existing adversarial hashing methods are inefficient to be employed for large-scale image retrieval applications. Specifically, they require an exponential number of samples to be able to generate optimal hash codes and a significantly high computational cost to train. In this paper, we sho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.00134","kind":"arxiv","version":3},"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/2003.00134/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":"2026-07-05T01:05:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xICPZBXyO/Zn7acN+KAzWOiiv6z3nzUUXYAmvmDLTiGqXQHjMowM+s1K1QfRtfgxvNu6TPoX8gy79gnIufZOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:21:13.097505Z"},"content_sha256":"614f9729271102d1cc590fa17998360a2f6341a3c27e1e8e081f0efa8494b6e7","schema_version":"1.0","event_id":"sha256:614f9729271102d1cc590fa17998360a2f6341a3c27e1e8e081f0efa8494b6e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/576HIILU7AEOZ46GDGWXVCIN6Z/bundle.json","state_url":"https://pith.science/pith/576HIILU7AEOZ46GDGWXVCIN6Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/576HIILU7AEOZ46GDGWXVCIN6Z/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":"2026-07-06T13:21:13Z","links":{"resolver":"https://pith.science/pith/576HIILU7AEOZ46GDGWXVCIN6Z","bundle":"https://pith.science/pith/576HIILU7AEOZ46GDGWXVCIN6Z/bundle.json","state":"https://pith.science/pith/576HIILU7AEOZ46GDGWXVCIN6Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/576HIILU7AEOZ46GDGWXVCIN6Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:576HIILU7AEOZ46GDGWXVCIN6Z","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":"c2558a9321549b61dbb13e63d814ef7ac0fe6281aee50c5e1f1a999d74a87ea4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-02-29T00:22:53Z","title_canon_sha256":"d47ab36228496443530494ad2e1f65b8ffbd688355858f00ba671aaaaf223549"},"schema_version":"1.0","source":{"id":"2003.00134","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.00134","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"arxiv_version","alias_value":"2003.00134v3","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.00134","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_12","alias_value":"576HIILU7AEO","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_16","alias_value":"576HIILU7AEOZ46G","created_at":"2026-07-05T01:05:44Z"},{"alias_kind":"pith_short_8","alias_value":"576HIILU","created_at":"2026-07-05T01:05:44Z"}],"graph_snapshots":[{"event_id":"sha256:614f9729271102d1cc590fa17998360a2f6341a3c27e1e8e081f0efa8494b6e7","target":"graph","created_at":"2026-07-05T01:05:44Z","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/2003.00134/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image hashing is one of the fundamental problems that demand both efficient and effective solutions for various practical scenarios. Adversarial autoencoders are shown to be able to implicitly learn a robust, locality-preserving hash function that generates balanced and high-quality hash codes. However, the existing adversarial hashing methods are inefficient to be employed for large-scale image retrieval applications. Specifically, they require an exponential number of samples to be able to generate optimal hash codes and a significantly high computational cost to train. In this paper, we sho","authors_text":"Chandan K. Reddy, Khoa D. Doan, Sarkhan Badirli, Saurav Manchanda","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-02-29T00:22:53Z","title":"Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.00134","kind":"arxiv","version":3},"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":"sha256:7d46cc2b1b0f7f414fd9a481aa46951696671955902c4520e57ed25de629fe69","target":"record","created_at":"2026-07-05T01:05:44Z","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":"c2558a9321549b61dbb13e63d814ef7ac0fe6281aee50c5e1f1a999d74a87ea4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-02-29T00:22:53Z","title_canon_sha256":"d47ab36228496443530494ad2e1f65b8ffbd688355858f00ba671aaaaf223549"},"schema_version":"1.0","source":{"id":"2003.00134","kind":"arxiv","version":3}},"canonical_sha256":"effc742174f808ecf3c619ad7a890df64371727ff49040fba707f3a64291699b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"effc742174f808ecf3c619ad7a890df64371727ff49040fba707f3a64291699b","first_computed_at":"2026-07-05T01:05:44.293415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:05:44.293415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y9NaV6NJoX/k36lh/qnkXFzWkVxXCTLidITgidvK17ZsTSk8+AAUA2CVKvHLxwDSxRPmXfUMHyzZJXTdzufiCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:05:44.293860Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.00134","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d46cc2b1b0f7f414fd9a481aa46951696671955902c4520e57ed25de629fe69","sha256:614f9729271102d1cc590fa17998360a2f6341a3c27e1e8e081f0efa8494b6e7"],"state_sha256":"297f4d119f89dfe386529de1c4416506803f90606dfd15780e10b28420abd34d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2qcX3zz1hDVWZcJvGKOwIQpZ/G76PvQzVdy9QL93EQD9M0/GcdLSF89SEnEREOhePxqDIX/saskcJcdYBnQiAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T13:21:13.099754Z","bundle_sha256":"35ab02c884398b148ae5cb725881b57a0a6d1bf7644a8e540a71c42d902c397c"}}