{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:H5723AHZ5L7I6HXIER3FW7YB4X","short_pith_number":"pith:H5723AHZ","canonical_record":{"source":{"id":"1508.00307","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-08-03T03:29:50Z","cross_cats_sorted":[],"title_canon_sha256":"52c8b2c529d83153168014feb09b244e79fc99a0d2ed2eba2a71bc22fe5d0cbd","abstract_canon_sha256":"56caac536ab8e11fa020922080e6c65dd520455f5656193ec123df3d37845058"},"schema_version":"1.0"},"canonical_sha256":"3f7fad80f9eafe8f1ee824765b7f01e5d353cf02aaef50a39d4938baef9a8481","source":{"kind":"arxiv","id":"1508.00307","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.00307","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"arxiv_version","alias_value":"1508.00307v1","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.00307","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"pith_short_12","alias_value":"H5723AHZ5L7I","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"H5723AHZ5L7I6HXI","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"H5723AHZ","created_at":"2026-05-18T12:29:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:H5723AHZ5L7I6HXIER3FW7YB4X","target":"record","payload":{"canonical_record":{"source":{"id":"1508.00307","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-08-03T03:29:50Z","cross_cats_sorted":[],"title_canon_sha256":"52c8b2c529d83153168014feb09b244e79fc99a0d2ed2eba2a71bc22fe5d0cbd","abstract_canon_sha256":"56caac536ab8e11fa020922080e6c65dd520455f5656193ec123df3d37845058"},"schema_version":"1.0"},"canonical_sha256":"3f7fad80f9eafe8f1ee824765b7f01e5d353cf02aaef50a39d4938baef9a8481","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:35:58.442141Z","signature_b64":"lwjcTTmrps4QqXC2m6SYqt59t4jkgzK8JRLT09CdCxbHw13crGcAOabau1bUoRTfSSLYxEdZsIPHeEIeuXVXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f7fad80f9eafe8f1ee824765b7f01e5d353cf02aaef50a39d4938baef9a8481","last_reissued_at":"2026-05-18T01:35:58.441527Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:35:58.441527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1508.00307","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":"2026-05-18T01:35:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"djtyVqRLsRD0PdqvShtivWLYX7xRJX1ubIge1mcEAWp1NJTO0Wc+LjxtfaPtouYpnOoqKI9pBwWA9fssZ/eNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T12:16:34.891572Z"},"content_sha256":"03aa607cb1bdae0808979f2cad503064d8069b47d726c129e472cadb948c6865","schema_version":"1.0","event_id":"sha256:03aa607cb1bdae0808979f2cad503064d8069b47d726c129e472cadb948c6865"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:H5723AHZ5L7I6HXIER3FW7YB4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Color Contrastive Descriptor for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sheng Guo, Weilin Huang, Yu Qiao","submitted_at":"2015-08-03T03:29:50Z","abstract_excerpt":"Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or orientation) are the key features for visual representation is ingrained and dominated in current multimedia and computer vision communities. A number of low-level features have been proposed by computing local gradients (e.g. SIFT, LBP and HOG), and have achieved great successes on numerous multimedia applications. In this paper, we present a simple yet efficient local descriptor for image classification, referred a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.00307","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":"2026-05-18T01:35:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mS7q88kdKf6tLSG7AiGH0rUhNOg47WkxceKLXnHpCNV5QltCFwIcewf6N4OmKW2/TB1Yl48NAgoDZwHJ5qPiDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T12:16:34.891922Z"},"content_sha256":"8e6bf17e95d18a558dc9653826ab536c1094bb9d2aeec3781c33f8b59ba6012a","schema_version":"1.0","event_id":"sha256:8e6bf17e95d18a558dc9653826ab536c1094bb9d2aeec3781c33f8b59ba6012a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H5723AHZ5L7I6HXIER3FW7YB4X/bundle.json","state_url":"https://pith.science/pith/H5723AHZ5L7I6HXIER3FW7YB4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H5723AHZ5L7I6HXIER3FW7YB4X/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":"2026-06-05T12:16:34Z","links":{"resolver":"https://pith.science/pith/H5723AHZ5L7I6HXIER3FW7YB4X","bundle":"https://pith.science/pith/H5723AHZ5L7I6HXIER3FW7YB4X/bundle.json","state":"https://pith.science/pith/H5723AHZ5L7I6HXIER3FW7YB4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H5723AHZ5L7I6HXIER3FW7YB4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:H5723AHZ5L7I6HXIER3FW7YB4X","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":"56caac536ab8e11fa020922080e6c65dd520455f5656193ec123df3d37845058","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-08-03T03:29:50Z","title_canon_sha256":"52c8b2c529d83153168014feb09b244e79fc99a0d2ed2eba2a71bc22fe5d0cbd"},"schema_version":"1.0","source":{"id":"1508.00307","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.00307","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"arxiv_version","alias_value":"1508.00307v1","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.00307","created_at":"2026-05-18T01:35:58Z"},{"alias_kind":"pith_short_12","alias_value":"H5723AHZ5L7I","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"H5723AHZ5L7I6HXI","created_at":"2026-05-18T12:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"H5723AHZ","created_at":"2026-05-18T12:29:22Z"}],"graph_snapshots":[{"event_id":"sha256:8e6bf17e95d18a558dc9653826ab536c1094bb9d2aeec3781c33f8b59ba6012a","target":"graph","created_at":"2026-05-18T01:35:58Z","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":"Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or orientation) are the key features for visual representation is ingrained and dominated in current multimedia and computer vision communities. A number of low-level features have been proposed by computing local gradients (e.g. SIFT, LBP and HOG), and have achieved great successes on numerous multimedia applications. In this paper, we present a simple yet efficient local descriptor for image classification, referred a","authors_text":"Sheng Guo, Weilin Huang, Yu Qiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-08-03T03:29:50Z","title":"Local Color Contrastive Descriptor for Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.00307","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":"sha256:03aa607cb1bdae0808979f2cad503064d8069b47d726c129e472cadb948c6865","target":"record","created_at":"2026-05-18T01:35:58Z","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":"56caac536ab8e11fa020922080e6c65dd520455f5656193ec123df3d37845058","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-08-03T03:29:50Z","title_canon_sha256":"52c8b2c529d83153168014feb09b244e79fc99a0d2ed2eba2a71bc22fe5d0cbd"},"schema_version":"1.0","source":{"id":"1508.00307","kind":"arxiv","version":1}},"canonical_sha256":"3f7fad80f9eafe8f1ee824765b7f01e5d353cf02aaef50a39d4938baef9a8481","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f7fad80f9eafe8f1ee824765b7f01e5d353cf02aaef50a39d4938baef9a8481","first_computed_at":"2026-05-18T01:35:58.441527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:35:58.441527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lwjcTTmrps4QqXC2m6SYqt59t4jkgzK8JRLT09CdCxbHw13crGcAOabau1bUoRTfSSLYxEdZsIPHeEIeuXVXDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:35:58.442141Z","signed_message":"canonical_sha256_bytes"},"source_id":"1508.00307","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03aa607cb1bdae0808979f2cad503064d8069b47d726c129e472cadb948c6865","sha256:8e6bf17e95d18a558dc9653826ab536c1094bb9d2aeec3781c33f8b59ba6012a"],"state_sha256":"31920cdd0ce73cf4aa991d2c3769a011f5a4b992265697863fe73a38bab53db9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DiFY+lfXLaECwj4lLFjxiYTshFZkTRV+Xdj9keMYVpkD8vRz5UWAYDuOqOPO0mOjY0AT4HVaGm82PdO1N1d3AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T12:16:34.894138Z","bundle_sha256":"5525c0e1ac1e728b6355101987e6e516d091df5e18637c312da2198eda14e6e9"}}