{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2004:2V6Y73IPZOGUOV6NEX2B2AZVPK","short_pith_number":"pith:2V6Y73IP","canonical_record":{"source":{"id":"cs/0405013","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.AI","submitted_at":"2004-05-05T00:44:12Z","cross_cats_sorted":[],"title_canon_sha256":"3b051d07630027086df526b799a5ab1a6ef505fc1caef6c696d62ced0c95eb82","abstract_canon_sha256":"2a7d086b91b6a92916a08f9fa57c932f8e598d183c1275ed2a0fc3addd575ece"},"schema_version":"1.0"},"canonical_sha256":"d57d8fed0fcb8d4757cd25f41d03357a915203f5e86b9865ec32de9dd6945d50","source":{"kind":"arxiv","id":"cs/0405013","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0405013","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0405013v1","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0405013","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"2V6Y73IPZOGU","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"2V6Y73IPZOGUOV6N","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"2V6Y73IP","created_at":"2026-07-04T14:24:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2004:2V6Y73IPZOGUOV6NEX2B2AZVPK","target":"record","payload":{"canonical_record":{"source":{"id":"cs/0405013","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.AI","submitted_at":"2004-05-05T00:44:12Z","cross_cats_sorted":[],"title_canon_sha256":"3b051d07630027086df526b799a5ab1a6ef505fc1caef6c696d62ced0c95eb82","abstract_canon_sha256":"2a7d086b91b6a92916a08f9fa57c932f8e598d183c1275ed2a0fc3addd575ece"},"schema_version":"1.0"},"canonical_sha256":"d57d8fed0fcb8d4757cd25f41d03357a915203f5e86b9865ec32de9dd6945d50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T14:24:42.729047Z","signature_b64":"6f8nTAeuIpCjP4RUTXmnEbbIHFaqwj8GUEXWtxiRbL0dtFeNbvGIW+rnnmJq82aXysBij5OzqXTMIc/NoiWjAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d57d8fed0fcb8d4757cd25f41d03357a915203f5e86b9865ec32de9dd6945d50","last_reissued_at":"2026-07-04T14:24:42.728710Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T14:24:42.728710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"cs/0405013","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":"2026-07-04T14:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cZiknWkZ8m/tFwD+H9zkvsz+toNmuxnr5R+w2BPvvDz0hncZyUXYh7KPmkN51U1OpZf8ULd9TA2IFvqiYQ7tDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T07:15:30.830006Z"},"content_sha256":"c081b6b122e6680f420a0a85ea051f6168b7dc24b4699c72428ad80cf30b7ad4","schema_version":"1.0","event_id":"sha256:c081b6b122e6680f420a0a85ea051f6168b7dc24b4699c72428ad80cf30b7ad4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2004:2V6Y73IPZOGUOV6NEX2B2AZVPK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DCT Based Texture Classification Using Soft Computing Approach","license":"","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ajith Abraham, Golam Sorwar","submitted_at":"2004-05-05T00:44:12Z","abstract_excerpt":"Classification of texture pattern is one of the most important problems in pattern recognition. In this paper, we present a classification method based on the Discrete Cosine Transform (DCT) coefficients of texture image. As DCT works on gray level image, the color scheme of each image is transformed into gray levels. For classifying the images using DCT we used two popular soft computing techniques namely neurocomputing and neuro-fuzzy computing. We used a feedforward neural network trained using the backpropagation learning and an evolving fuzzy neural network to classify the textures. The s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0405013","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/cs/0405013/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":"2026-07-04T14:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H7r1IQx0yMkAWnXy3q0etS+Dq4+uC+mG5YxAJqG4m6yDND4tdNzJKYVF2T905SJ8jl8DhoWxXzxq9PxJFX9EBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T07:15:30.830384Z"},"content_sha256":"89c719fa2b6acda08f2a0541c65b0081c1dddccb17b146da8e05d4b802830654","schema_version":"1.0","event_id":"sha256:89c719fa2b6acda08f2a0541c65b0081c1dddccb17b146da8e05d4b802830654"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/bundle.json","state_url":"https://pith.science/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/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":"2026-07-05T07:15:30Z","links":{"resolver":"https://pith.science/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK","bundle":"https://pith.science/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/bundle.json","state":"https://pith.science/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2V6Y73IPZOGUOV6NEX2B2AZVPK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2004:2V6Y73IPZOGUOV6NEX2B2AZVPK","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":"2a7d086b91b6a92916a08f9fa57c932f8e598d183c1275ed2a0fc3addd575ece","cross_cats_sorted":[],"license":"","primary_cat":"cs.AI","submitted_at":"2004-05-05T00:44:12Z","title_canon_sha256":"3b051d07630027086df526b799a5ab1a6ef505fc1caef6c696d62ced0c95eb82"},"schema_version":"1.0","source":{"id":"cs/0405013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0405013","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0405013v1","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0405013","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"2V6Y73IPZOGU","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"2V6Y73IPZOGUOV6N","created_at":"2026-07-04T14:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"2V6Y73IP","created_at":"2026-07-04T14:24:42Z"}],"graph_snapshots":[{"event_id":"sha256:89c719fa2b6acda08f2a0541c65b0081c1dddccb17b146da8e05d4b802830654","target":"graph","created_at":"2026-07-04T14:24:42Z","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/cs/0405013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Classification of texture pattern is one of the most important problems in pattern recognition. In this paper, we present a classification method based on the Discrete Cosine Transform (DCT) coefficients of texture image. As DCT works on gray level image, the color scheme of each image is transformed into gray levels. For classifying the images using DCT we used two popular soft computing techniques namely neurocomputing and neuro-fuzzy computing. We used a feedforward neural network trained using the backpropagation learning and an evolving fuzzy neural network to classify the textures. The s","authors_text":"Ajith Abraham, Golam Sorwar","cross_cats":[],"headline":"","license":"","primary_cat":"cs.AI","submitted_at":"2004-05-05T00:44:12Z","title":"DCT Based Texture Classification Using Soft Computing Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0405013","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:c081b6b122e6680f420a0a85ea051f6168b7dc24b4699c72428ad80cf30b7ad4","target":"record","created_at":"2026-07-04T14:24:42Z","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":"2a7d086b91b6a92916a08f9fa57c932f8e598d183c1275ed2a0fc3addd575ece","cross_cats_sorted":[],"license":"","primary_cat":"cs.AI","submitted_at":"2004-05-05T00:44:12Z","title_canon_sha256":"3b051d07630027086df526b799a5ab1a6ef505fc1caef6c696d62ced0c95eb82"},"schema_version":"1.0","source":{"id":"cs/0405013","kind":"arxiv","version":1}},"canonical_sha256":"d57d8fed0fcb8d4757cd25f41d03357a915203f5e86b9865ec32de9dd6945d50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d57d8fed0fcb8d4757cd25f41d03357a915203f5e86b9865ec32de9dd6945d50","first_computed_at":"2026-07-04T14:24:42.728710Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T14:24:42.728710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6f8nTAeuIpCjP4RUTXmnEbbIHFaqwj8GUEXWtxiRbL0dtFeNbvGIW+rnnmJq82aXysBij5OzqXTMIc/NoiWjAQ==","signature_status":"signed_v1","signed_at":"2026-07-04T14:24:42.729047Z","signed_message":"canonical_sha256_bytes"},"source_id":"cs/0405013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c081b6b122e6680f420a0a85ea051f6168b7dc24b4699c72428ad80cf30b7ad4","sha256:89c719fa2b6acda08f2a0541c65b0081c1dddccb17b146da8e05d4b802830654"],"state_sha256":"c371c9b3abf6238b7df1036c0581b11bcb2f9758f641833a945abb72aac23998"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4SY0Um5grimRCUIBYHPMsOThXvdHlqcZUSWHNp35Zj+dmJkBX8iAZzgPoSZ+xoYFyjouGbl69z6f1Q2ZbW8fDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T07:15:30.832365Z","bundle_sha256":"06a97055dfc037f12b8344f618f352b51cc9385c52670029825a7205b7836feb"}}