{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:HORVCGMVOTHSIFQW5DKSNB5H6R","short_pith_number":"pith:HORVCGMV","canonical_record":{"source":{"id":"1501.01723","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-08T04:05:39Z","cross_cats_sorted":[],"title_canon_sha256":"190daac1e5db7fcab46588c68bceaa07cbea9e63acb997fdab2ef84fb70b241a","abstract_canon_sha256":"0e69715ec04d506976aedf8ade4fb80cd129b7df54dd2404dd72475cc55a360b"},"schema_version":"1.0"},"canonical_sha256":"3ba351199574cf241616e8d52687a7f45885578a48c71bc21809dc496baedefc","source":{"kind":"arxiv","id":"1501.01723","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.01723","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"arxiv_version","alias_value":"1501.01723v1","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.01723","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"pith_short_12","alias_value":"HORVCGMVOTHS","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HORVCGMVOTHSIFQW","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HORVCGMV","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:HORVCGMVOTHSIFQW5DKSNB5H6R","target":"record","payload":{"canonical_record":{"source":{"id":"1501.01723","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-08T04:05:39Z","cross_cats_sorted":[],"title_canon_sha256":"190daac1e5db7fcab46588c68bceaa07cbea9e63acb997fdab2ef84fb70b241a","abstract_canon_sha256":"0e69715ec04d506976aedf8ade4fb80cd129b7df54dd2404dd72475cc55a360b"},"schema_version":"1.0"},"canonical_sha256":"3ba351199574cf241616e8d52687a7f45885578a48c71bc21809dc496baedefc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:29:46.521497Z","signature_b64":"Ms5L9Nsf/i+20q/wk1triQihciAe5k+sTruYp/S9Oopv6Cki6kIEsZLMxUYh33rLBAPGz+PxABkz4hskEpwHDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ba351199574cf241616e8d52687a7f45885578a48c71bc21809dc496baedefc","last_reissued_at":"2026-05-18T02:29:46.521023Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:29:46.521023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1501.01723","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":"2026-05-18T02:29:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jjsALM67b3zXwgYyW7rOVqS9mXTL9OimYfFne2EPdLyH3tfrWZimjohdb9nFKIgpt2zmrtJUBYX0Y7MnVPyAAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T12:40:43.376747Z"},"content_sha256":"0e07d48a24c417882897b1a242f8fe7e7a3e259c46298acbcf883b5b5645f9bd","schema_version":"1.0","event_id":"sha256:0e07d48a24c417882897b1a242f8fe7e7a3e259c46298acbcf883b5b5645f9bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:HORVCGMVOTHSIFQW5DKSNB5H6R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Effective Image Feature Classiffication using an improved SOM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf","submitted_at":"2015-01-08T04:05:39Z","abstract_excerpt":"Image feature classification is a challenging problem in many computer vision applications, specifically, in the fields of remote sensing, image analysis and pattern recognition. In this paper, a novel Self Organizing Map, termed improved SOM (iSOM), is proposed with the aim of effectively classifying Mammographic images based on their texture feature representation. The main contribution of the iSOM is to introduce a new node structure for the map representation and adopting a learning technique based on Kohonen SOM accordingly. The main idea is to control, in an unsupervised fashion, the wei"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.01723","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":"2026-05-18T02:29:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kjWBe21qutyZwOYUG1bSVkgC4Lzxq+UrFhVJsJAWzpTA6niBUPIvbGfG6kMmcWl1UIQgBVd5WDLVNdaE1EMSDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T12:40:43.377085Z"},"content_sha256":"2a7424dcac43d898a2028695e8eb3598f2af2c587a7e75add4e08680bcea8a4a","schema_version":"1.0","event_id":"sha256:2a7424dcac43d898a2028695e8eb3598f2af2c587a7e75add4e08680bcea8a4a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/bundle.json","state_url":"https://pith.science/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/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":"2026-06-29T12:40:43Z","links":{"resolver":"https://pith.science/pith/HORVCGMVOTHSIFQW5DKSNB5H6R","bundle":"https://pith.science/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/bundle.json","state":"https://pith.science/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HORVCGMVOTHSIFQW5DKSNB5H6R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:HORVCGMVOTHSIFQW5DKSNB5H6R","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":"0e69715ec04d506976aedf8ade4fb80cd129b7df54dd2404dd72475cc55a360b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-08T04:05:39Z","title_canon_sha256":"190daac1e5db7fcab46588c68bceaa07cbea9e63acb997fdab2ef84fb70b241a"},"schema_version":"1.0","source":{"id":"1501.01723","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.01723","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"arxiv_version","alias_value":"1501.01723v1","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.01723","created_at":"2026-05-18T02:29:46Z"},{"alias_kind":"pith_short_12","alias_value":"HORVCGMVOTHS","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HORVCGMVOTHSIFQW","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HORVCGMV","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:2a7424dcac43d898a2028695e8eb3598f2af2c587a7e75add4e08680bcea8a4a","target":"graph","created_at":"2026-05-18T02:29:46Z","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 feature classification is a challenging problem in many computer vision applications, specifically, in the fields of remote sensing, image analysis and pattern recognition. In this paper, a novel Self Organizing Map, termed improved SOM (iSOM), is proposed with the aim of effectively classifying Mammographic images based on their texture feature representation. The main contribution of the iSOM is to introduce a new node structure for the map representation and adopting a learning technique based on Kohonen SOM accordingly. The main idea is to control, in an unsupervised fashion, the wei","authors_text":"M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-08T04:05:39Z","title":"An Effective Image Feature Classiffication using an improved SOM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.01723","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":"sha256:0e07d48a24c417882897b1a242f8fe7e7a3e259c46298acbcf883b5b5645f9bd","target":"record","created_at":"2026-05-18T02:29:46Z","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":"0e69715ec04d506976aedf8ade4fb80cd129b7df54dd2404dd72475cc55a360b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-08T04:05:39Z","title_canon_sha256":"190daac1e5db7fcab46588c68bceaa07cbea9e63acb997fdab2ef84fb70b241a"},"schema_version":"1.0","source":{"id":"1501.01723","kind":"arxiv","version":1}},"canonical_sha256":"3ba351199574cf241616e8d52687a7f45885578a48c71bc21809dc496baedefc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ba351199574cf241616e8d52687a7f45885578a48c71bc21809dc496baedefc","first_computed_at":"2026-05-18T02:29:46.521023Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:29:46.521023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ms5L9Nsf/i+20q/wk1triQihciAe5k+sTruYp/S9Oopv6Cki6kIEsZLMxUYh33rLBAPGz+PxABkz4hskEpwHDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:29:46.521497Z","signed_message":"canonical_sha256_bytes"},"source_id":"1501.01723","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e07d48a24c417882897b1a242f8fe7e7a3e259c46298acbcf883b5b5645f9bd","sha256:2a7424dcac43d898a2028695e8eb3598f2af2c587a7e75add4e08680bcea8a4a"],"state_sha256":"1f3a89fd657f837ef8fc200eafa43ab037f966ee54262b0cf360cc7c87cd7bac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QeyeeTvKevhLa1jcwv3PR/Rt5ZJdbaov9FZN/Cud5h0c2Hl+iO3KGJdOoaMm8lsZROgxbyszCHEKZzRXMvgTBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T12:40:43.378942Z","bundle_sha256":"527cfba9d038b1b16d386f1223ae2ee017124a19542dca0f8af06bf04f17e72f"}}