{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:PM2KELZY4PZNGEZKRUDB77YJ66","short_pith_number":"pith:PM2KELZY","canonical_record":{"source":{"id":"1307.5161","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-19T08:47:32Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3a35629adf5219a3c19955c92410bfff39cd143228924922bdfab2a4191dff10","abstract_canon_sha256":"27166a801794d57231602084bb1966e27c78ac5b5b9b8e3cbeb3c52868af41a9"},"schema_version":"1.0"},"canonical_sha256":"7b34a22f38e3f2d3132a8d061fff09f78984ec9209efd49a9d54853832d4ecbf","source":{"kind":"arxiv","id":"1307.5161","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1307.5161","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"arxiv_version","alias_value":"1307.5161v2","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.5161","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"pith_short_12","alias_value":"PM2KELZY4PZN","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"PM2KELZY4PZNGEZK","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"PM2KELZY","created_at":"2026-05-18T12:27:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:PM2KELZY4PZNGEZKRUDB77YJ66","target":"record","payload":{"canonical_record":{"source":{"id":"1307.5161","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-19T08:47:32Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"3a35629adf5219a3c19955c92410bfff39cd143228924922bdfab2a4191dff10","abstract_canon_sha256":"27166a801794d57231602084bb1966e27c78ac5b5b9b8e3cbeb3c52868af41a9"},"schema_version":"1.0"},"canonical_sha256":"7b34a22f38e3f2d3132a8d061fff09f78984ec9209efd49a9d54853832d4ecbf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:55:20.556606Z","signature_b64":"6/A3DQhDSYZ445ZsEwNYz1H232gcUPqdNTK8VJ/V/JFK9NUX/ZZ/IvHN4j/p1ERU9GJPwdKjAeIFQ0EwDdZEDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b34a22f38e3f2d3132a8d061fff09f78984ec9209efd49a9d54853832d4ecbf","last_reissued_at":"2026-05-18T02:55:20.556099Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:55:20.556099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1307.5161","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":"2026-05-18T02:55:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7KJ520oK69cFInuOSRigX3OMXJ9CY/nWSqkfQKiqh7YlEsCIvTRs0gm3BFJdWO5+GwLIYBl43VZOPqk24djeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T16:19:14.029289Z"},"content_sha256":"d6d0094d98eaaec708ad614d2ef5a3f61a3914a2380c7f46c1f2f3255fd8f452","schema_version":"1.0","event_id":"sha256:d6d0094d98eaaec708ad614d2ef5a3f61a3914a2380c7f46c1f2f3255fd8f452"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:PM2KELZY4PZNGEZKRUDB77YJ66","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Random Binary Mappings for Kernel Learning and Efficient SVM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Gemma Roig, Luc Van Gool, Xavier Boix","submitted_at":"2013-07-19T08:47:32Z","abstract_excerpt":"Support Vector Machines (SVMs) are powerful learners that have led to state-of-the-art results in various computer vision problems. SVMs suffer from various drawbacks in terms of selecting the right kernel, which depends on the image descriptors, as well as computational and memory efficiency. This paper introduces a novel kernel, which serves such issues well. The kernel is learned by exploiting a large amount of low-complex, randomized binary mappings of the input feature. This leads to an efficient SVM, while also alleviating the task of kernel selection. We demonstrate the capabilities of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.5161","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":"2026-05-18T02:55:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mivXH4Ad02TKb4Am5I0aSGd9PEQtzN8Vy6oCgk4t1/ByHhc1Jw+LENWzGPRcyv5mFA45OZPZhjaCqgqvKoYuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T16:19:14.029953Z"},"content_sha256":"429166f68675ad279e3a861a9185ef04bbb0f3bfefe56332f2e344a5d47fadc0","schema_version":"1.0","event_id":"sha256:429166f68675ad279e3a861a9185ef04bbb0f3bfefe56332f2e344a5d47fadc0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PM2KELZY4PZNGEZKRUDB77YJ66/bundle.json","state_url":"https://pith.science/pith/PM2KELZY4PZNGEZKRUDB77YJ66/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PM2KELZY4PZNGEZKRUDB77YJ66/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":"2026-05-30T16:19:14Z","links":{"resolver":"https://pith.science/pith/PM2KELZY4PZNGEZKRUDB77YJ66","bundle":"https://pith.science/pith/PM2KELZY4PZNGEZKRUDB77YJ66/bundle.json","state":"https://pith.science/pith/PM2KELZY4PZNGEZKRUDB77YJ66/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PM2KELZY4PZNGEZKRUDB77YJ66/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:PM2KELZY4PZNGEZKRUDB77YJ66","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":"27166a801794d57231602084bb1966e27c78ac5b5b9b8e3cbeb3c52868af41a9","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-19T08:47:32Z","title_canon_sha256":"3a35629adf5219a3c19955c92410bfff39cd143228924922bdfab2a4191dff10"},"schema_version":"1.0","source":{"id":"1307.5161","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1307.5161","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"arxiv_version","alias_value":"1307.5161v2","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.5161","created_at":"2026-05-18T02:55:20Z"},{"alias_kind":"pith_short_12","alias_value":"PM2KELZY4PZN","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"PM2KELZY4PZNGEZK","created_at":"2026-05-18T12:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"PM2KELZY","created_at":"2026-05-18T12:27:54Z"}],"graph_snapshots":[{"event_id":"sha256:429166f68675ad279e3a861a9185ef04bbb0f3bfefe56332f2e344a5d47fadc0","target":"graph","created_at":"2026-05-18T02:55:20Z","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":"Support Vector Machines (SVMs) are powerful learners that have led to state-of-the-art results in various computer vision problems. SVMs suffer from various drawbacks in terms of selecting the right kernel, which depends on the image descriptors, as well as computational and memory efficiency. This paper introduces a novel kernel, which serves such issues well. The kernel is learned by exploiting a large amount of low-complex, randomized binary mappings of the input feature. This leads to an efficient SVM, while also alleviating the task of kernel selection. We demonstrate the capabilities of ","authors_text":"Gemma Roig, Luc Van Gool, Xavier Boix","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-19T08:47:32Z","title":"Random Binary Mappings for Kernel Learning and Efficient SVM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.5161","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:d6d0094d98eaaec708ad614d2ef5a3f61a3914a2380c7f46c1f2f3255fd8f452","target":"record","created_at":"2026-05-18T02:55:20Z","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":"27166a801794d57231602084bb1966e27c78ac5b5b9b8e3cbeb3c52868af41a9","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-19T08:47:32Z","title_canon_sha256":"3a35629adf5219a3c19955c92410bfff39cd143228924922bdfab2a4191dff10"},"schema_version":"1.0","source":{"id":"1307.5161","kind":"arxiv","version":2}},"canonical_sha256":"7b34a22f38e3f2d3132a8d061fff09f78984ec9209efd49a9d54853832d4ecbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b34a22f38e3f2d3132a8d061fff09f78984ec9209efd49a9d54853832d4ecbf","first_computed_at":"2026-05-18T02:55:20.556099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:55:20.556099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6/A3DQhDSYZ445ZsEwNYz1H232gcUPqdNTK8VJ/V/JFK9NUX/ZZ/IvHN4j/p1ERU9GJPwdKjAeIFQ0EwDdZEDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:55:20.556606Z","signed_message":"canonical_sha256_bytes"},"source_id":"1307.5161","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6d0094d98eaaec708ad614d2ef5a3f61a3914a2380c7f46c1f2f3255fd8f452","sha256:429166f68675ad279e3a861a9185ef04bbb0f3bfefe56332f2e344a5d47fadc0"],"state_sha256":"2323f8157d52295433dd3837ec1f9ba262c47fd074f1701e09de061b48b4004e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UmRA10/liJrKOuzy7nh3qzzsmwzM1pVgrrS+p8OUKU4FJvexXDvRH2su1xWIl9d8ALjq5iWyAwsUCA0y5JbkDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T16:19:14.033247Z","bundle_sha256":"b38335e62cc118d0f70cc29f4f1d9941d5102de36c46d3054ab9c14fd500f647"}}