{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:CTDN3TIEIDC6GUZ3TMKV6PRVKV","short_pith_number":"pith:CTDN3TIE","canonical_record":{"source":{"id":"1805.02679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-07T18:14:49Z","cross_cats_sorted":[],"title_canon_sha256":"1cf1f0992bd169f4e0a84dc8d156795031e51d1c4c332dac788bb14301cfecf5","abstract_canon_sha256":"487d100fc81b31a5b20abda21a01b48b378b06ee96a24ecafa54e709b0ec51a6"},"schema_version":"1.0"},"canonical_sha256":"14c6ddcd0440c5e3533b9b155f3e35555cc1092dc18ac2f06cb9ab3e8a88b8a0","source":{"kind":"arxiv","id":"1805.02679","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.02679","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"arxiv_version","alias_value":"1805.02679v1","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.02679","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"pith_short_12","alias_value":"CTDN3TIEIDC6","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CTDN3TIEIDC6GUZ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CTDN3TIE","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:CTDN3TIEIDC6GUZ3TMKV6PRVKV","target":"record","payload":{"canonical_record":{"source":{"id":"1805.02679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-07T18:14:49Z","cross_cats_sorted":[],"title_canon_sha256":"1cf1f0992bd169f4e0a84dc8d156795031e51d1c4c332dac788bb14301cfecf5","abstract_canon_sha256":"487d100fc81b31a5b20abda21a01b48b378b06ee96a24ecafa54e709b0ec51a6"},"schema_version":"1.0"},"canonical_sha256":"14c6ddcd0440c5e3533b9b155f3e35555cc1092dc18ac2f06cb9ab3e8a88b8a0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:36.028308Z","signature_b64":"BIH+gUJACbQjxqAyAaPvs+AuvqgSG+rkVY2h2uedD/9Yp5ZT+o0yg7QJoCoI6d1A7XVCEph6+/giHxXX6qQGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14c6ddcd0440c5e3533b9b155f3e35555cc1092dc18ac2f06cb9ab3e8a88b8a0","last_reissued_at":"2026-05-18T00:16:36.027812Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:36.027812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.02679","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":"2026-05-18T00:16:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L6U6VoGuJ0Tyhl/Hx9E/WCGhvENA6loeA85N1whxtln1wxoOsr4AWZg50G5csbJlFG40YW9WRV28+qKpiQIgCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T21:37:44.945898Z"},"content_sha256":"78ffa5c61b99ff8226e7ae57f304ab07441d054b2a6710b6f04b74108c1e2a06","schema_version":"1.0","event_id":"sha256:78ffa5c61b99ff8226e7ae57f304ab07441d054b2a6710b6f04b74108c1e2a06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:CTDN3TIEIDC6GUZ3TMKV6PRVKV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hemant Verma, Mallika Chaudhary, Murari Mandal, S. K. Vipparthi, Sonakshi Mathur, Subrahmanyam Murala","submitted_at":"2018-05-07T18:14:49Z","abstract_excerpt":"A novel color feature descriptor, Multichannel Distributed Local Pattern (MDLP) is proposed in this manuscript. The MDLP combines the salient features of both local binary and local mesh patterns in the neighborhood. The multi-distance information computed by the MDLP aids in robust extraction of the texture arrangement. Further, MDLP features are extracted for each color channel of an image. The retrieval performance of the MDLP is evaluated on the three benchmark datasets for CBIR, namely Corel-5000, Corel-10000 and MIT-Color Vistex respectively. The proposed technique attains substantial im"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.02679","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":"2026-05-18T00:16:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N2WxrTaDgVBE3srMLVBWFbWcBPP5np9iOXrg+rZ+c+JrMTaHcYfVh5cucAWgrvmzCYDqDvS3Tg8dCSdo59NGCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T21:37:44.946245Z"},"content_sha256":"e31e12a0f3495a004a0f89e82f4c555e9e010b75d2df8e3b5299c7e996ed26e3","schema_version":"1.0","event_id":"sha256:e31e12a0f3495a004a0f89e82f4c555e9e010b75d2df8e3b5299c7e996ed26e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/bundle.json","state_url":"https://pith.science/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/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":"2026-06-02T21:37:44Z","links":{"resolver":"https://pith.science/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV","bundle":"https://pith.science/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/bundle.json","state":"https://pith.science/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CTDN3TIEIDC6GUZ3TMKV6PRVKV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CTDN3TIEIDC6GUZ3TMKV6PRVKV","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":"487d100fc81b31a5b20abda21a01b48b378b06ee96a24ecafa54e709b0ec51a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-07T18:14:49Z","title_canon_sha256":"1cf1f0992bd169f4e0a84dc8d156795031e51d1c4c332dac788bb14301cfecf5"},"schema_version":"1.0","source":{"id":"1805.02679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.02679","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"arxiv_version","alias_value":"1805.02679v1","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.02679","created_at":"2026-05-18T00:16:36Z"},{"alias_kind":"pith_short_12","alias_value":"CTDN3TIEIDC6","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CTDN3TIEIDC6GUZ3","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CTDN3TIE","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:e31e12a0f3495a004a0f89e82f4c555e9e010b75d2df8e3b5299c7e996ed26e3","target":"graph","created_at":"2026-05-18T00:16:36Z","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":"A novel color feature descriptor, Multichannel Distributed Local Pattern (MDLP) is proposed in this manuscript. The MDLP combines the salient features of both local binary and local mesh patterns in the neighborhood. The multi-distance information computed by the MDLP aids in robust extraction of the texture arrangement. Further, MDLP features are extracted for each color channel of an image. The retrieval performance of the MDLP is evaluated on the three benchmark datasets for CBIR, namely Corel-5000, Corel-10000 and MIT-Color Vistex respectively. The proposed technique attains substantial im","authors_text":"Hemant Verma, Mallika Chaudhary, Murari Mandal, S. K. Vipparthi, Sonakshi Mathur, Subrahmanyam Murala","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-07T18:14:49Z","title":"Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.02679","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":"sha256:78ffa5c61b99ff8226e7ae57f304ab07441d054b2a6710b6f04b74108c1e2a06","target":"record","created_at":"2026-05-18T00:16:36Z","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":"487d100fc81b31a5b20abda21a01b48b378b06ee96a24ecafa54e709b0ec51a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-07T18:14:49Z","title_canon_sha256":"1cf1f0992bd169f4e0a84dc8d156795031e51d1c4c332dac788bb14301cfecf5"},"schema_version":"1.0","source":{"id":"1805.02679","kind":"arxiv","version":1}},"canonical_sha256":"14c6ddcd0440c5e3533b9b155f3e35555cc1092dc18ac2f06cb9ab3e8a88b8a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14c6ddcd0440c5e3533b9b155f3e35555cc1092dc18ac2f06cb9ab3e8a88b8a0","first_computed_at":"2026-05-18T00:16:36.027812Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:36.027812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BIH+gUJACbQjxqAyAaPvs+AuvqgSG+rkVY2h2uedD/9Yp5ZT+o0yg7QJoCoI6d1A7XVCEph6+/giHxXX6qQGCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:36.028308Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.02679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78ffa5c61b99ff8226e7ae57f304ab07441d054b2a6710b6f04b74108c1e2a06","sha256:e31e12a0f3495a004a0f89e82f4c555e9e010b75d2df8e3b5299c7e996ed26e3"],"state_sha256":"203004e88af4094db45c90aecb20e2909fd4119eb1d8ef0671d8132112d6719e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i9t5TZ/bfMkQDZrZ4dEyPe44DmdNRiyx9n8IJX/PQ7cIyxevvsjG1fWitZTakinZr4b86AUUkjyGHFa8W6EQDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T21:37:44.948201Z","bundle_sha256":"a2bc7fa9407a434de7b774f3b3addb39d4f5da3e22d168eea5db1ea8f79d51c7"}}