{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:V5E32ISA44K6ORGPNTTMUVNA7O","short_pith_number":"pith:V5E32ISA","canonical_record":{"source":{"id":"1509.01287","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","cross_cats_sorted":[],"title_canon_sha256":"0c5a568b4fde6110b1bedddf6ff355ac1a9872bdaaff4df1066c88fe2ef43967","abstract_canon_sha256":"f4337770e3cd0dcfb050b71da0b7b1db5931f2c8a8501e3771ffcb6501d028e7"},"schema_version":"1.0"},"canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","source":{"kind":"arxiv","id":"1509.01287","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01287","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01287v1","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01287","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"pith_short_12","alias_value":"V5E32ISA44K6","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"V5E32ISA44K6ORGP","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"V5E32ISA","created_at":"2026-05-18T12:29:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:V5E32ISA44K6ORGPNTTMUVNA7O","target":"record","payload":{"canonical_record":{"source":{"id":"1509.01287","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","cross_cats_sorted":[],"title_canon_sha256":"0c5a568b4fde6110b1bedddf6ff355ac1a9872bdaaff4df1066c88fe2ef43967","abstract_canon_sha256":"f4337770e3cd0dcfb050b71da0b7b1db5931f2c8a8501e3771ffcb6501d028e7"},"schema_version":"1.0"},"canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:33:58.069963Z","signature_b64":"4b/j5vCYwrQCE6q9oZtiS7BBQV52k9S9F+lWsgU9b42Yu0Rtft93IALxiHR89o1TJ6c9ZrRwda00hRLSfztSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","last_reissued_at":"2026-05-18T01:33:58.069557Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:33:58.069557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1509.01287","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":"2026-05-18T01:33:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8b04WgN45K+6A3hpBOPDJmQyx3JCuQJWirV6i8YrmrJsuCuT9WCZQIbn/niJp5u4JCCJINxE9f79KndwSogTDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T12:07:35.194064Z"},"content_sha256":"236704e0f3114bc3230c628522d4eab19b884e570c12955d4931782969967ea0","schema_version":"1.0","event_id":"sha256:236704e0f3114bc3230c628522d4eab19b884e570c12955d4931782969967ea0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:V5E32ISA44K6ORGPNTTMUVNA7O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Classification with Rejection using Contextual Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carlos Castro, Filipe Condessa, Jelena Kova\\v{c}evi\\'c, John Ozolek, Jos\\'e Bioucas-Dias","submitted_at":"2015-09-03T22:04:37Z","abstract_excerpt":"We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As a probabilistic model for classification, we adopt a multinomial logistic regression. The concept of rejection with contextual information is implemented by modeling the classification problem as an ener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01287","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":""},"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":"2026-05-18T01:33:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LkoQJwq/b0ql/I6vjU9VnqcaHRUWemK0+cE+zDE5nBIVcKxuSyg18PS6+si8LxglSgOK735T71f7/G5dbu8aAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T12:07:35.194662Z"},"content_sha256":"88b0383b647195eb369211f502c8e6d8b8b7f7dbf23008cfe1ef82f9b5847ced","schema_version":"1.0","event_id":"sha256:88b0383b647195eb369211f502c8e6d8b8b7f7dbf23008cfe1ef82f9b5847ced"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/bundle.json","state_url":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V5E32ISA44K6ORGPNTTMUVNA7O/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":"2026-06-04T12:07:35Z","links":{"resolver":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O","bundle":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/bundle.json","state":"https://pith.science/pith/V5E32ISA44K6ORGPNTTMUVNA7O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V5E32ISA44K6ORGPNTTMUVNA7O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:V5E32ISA44K6ORGPNTTMUVNA7O","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":"f4337770e3cd0dcfb050b71da0b7b1db5931f2c8a8501e3771ffcb6501d028e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","title_canon_sha256":"0c5a568b4fde6110b1bedddf6ff355ac1a9872bdaaff4df1066c88fe2ef43967"},"schema_version":"1.0","source":{"id":"1509.01287","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.01287","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"arxiv_version","alias_value":"1509.01287v1","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.01287","created_at":"2026-05-18T01:33:58Z"},{"alias_kind":"pith_short_12","alias_value":"V5E32ISA44K6","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_16","alias_value":"V5E32ISA44K6ORGP","created_at":"2026-05-18T12:29:44Z"},{"alias_kind":"pith_short_8","alias_value":"V5E32ISA","created_at":"2026-05-18T12:29:44Z"}],"graph_snapshots":[{"event_id":"sha256:88b0383b647195eb369211f502c8e6d8b8b7f7dbf23008cfe1ef82f9b5847ced","target":"graph","created_at":"2026-05-18T01:33:58Z","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 introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As a probabilistic model for classification, we adopt a multinomial logistic regression. The concept of rejection with contextual information is implemented by modeling the classification problem as an ener","authors_text":"Carlos Castro, Filipe Condessa, Jelena Kova\\v{c}evi\\'c, John Ozolek, Jos\\'e Bioucas-Dias","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","title":"Image Classification with Rejection using Contextual Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.01287","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":"sha256:236704e0f3114bc3230c628522d4eab19b884e570c12955d4931782969967ea0","target":"record","created_at":"2026-05-18T01:33:58Z","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":"f4337770e3cd0dcfb050b71da0b7b1db5931f2c8a8501e3771ffcb6501d028e7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-09-03T22:04:37Z","title_canon_sha256":"0c5a568b4fde6110b1bedddf6ff355ac1a9872bdaaff4df1066c88fe2ef43967"},"schema_version":"1.0","source":{"id":"1509.01287","kind":"arxiv","version":1}},"canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af49bd2240e715e744cf6ce6ca55a0fb980e494ef48e6d0173a212d16b077348","first_computed_at":"2026-05-18T01:33:58.069557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:33:58.069557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4b/j5vCYwrQCE6q9oZtiS7BBQV52k9S9F+lWsgU9b42Yu0Rtft93IALxiHR89o1TJ6c9ZrRwda00hRLSfztSBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:33:58.069963Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.01287","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:236704e0f3114bc3230c628522d4eab19b884e570c12955d4931782969967ea0","sha256:88b0383b647195eb369211f502c8e6d8b8b7f7dbf23008cfe1ef82f9b5847ced"],"state_sha256":"5ce1089189b38de5ad365f2d0241c17d104dd440ee235f6d079ce72f45e8d538"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wWV1dCIXegWpjksdHo85zkCK5NkBQGVjaRJb+mNkDmAjHTGgZML6AYJ0Lrh2cnLM6pU0kn1Ve3Z/eoKeKLdjBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T12:07:35.197583Z","bundle_sha256":"b0c67d426bb481adfc7769cb6d6b4f56d7ff385a77f52ed8138934df565f6389"}}