{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:GJSLAUNGMANGJJFEUV63W4CSXG","short_pith_number":"pith:GJSLAUNG","canonical_record":{"source":{"id":"1203.0882","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-03-05T12:22:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"196f40f4e6fd8e326b4dc066875cceb51a815f8e9b5fffe54fe4624f71428816","abstract_canon_sha256":"2e2e7a87904e4e958320f9c01dba09b2b435a93278579cf2e371a11bdca75d91"},"schema_version":"1.0"},"canonical_sha256":"3264b051a6601a64a4a4a57dbb7052b9b5292559675886c07dbd17c1dfce90c3","source":{"kind":"arxiv","id":"1203.0882","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.0882","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"arxiv_version","alias_value":"1203.0882v1","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.0882","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"pith_short_12","alias_value":"GJSLAUNGMANG","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GJSLAUNGMANGJJFE","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GJSLAUNG","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:GJSLAUNGMANGJJFEUV63W4CSXG","target":"record","payload":{"canonical_record":{"source":{"id":"1203.0882","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-03-05T12:22:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"196f40f4e6fd8e326b4dc066875cceb51a815f8e9b5fffe54fe4624f71428816","abstract_canon_sha256":"2e2e7a87904e4e958320f9c01dba09b2b435a93278579cf2e371a11bdca75d91"},"schema_version":"1.0"},"canonical_sha256":"3264b051a6601a64a4a4a57dbb7052b9b5292559675886c07dbd17c1dfce90c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:00:50.202281Z","signature_b64":"1ZJ6o1DjEGSo+CreKT1csV9AOp1NXI+wijxskr0JeanxmP8Ly0ZyXb6sw64qh7z/c6mdkNeVcnb8tax8sr5wCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3264b051a6601a64a4a4a57dbb7052b9b5292559675886c07dbd17c1dfce90c3","last_reissued_at":"2026-05-18T04:00:50.201517Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:00:50.201517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.0882","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":"2026-05-18T04:00:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+YihGSqU3j7IqANCbrgBfNE+zfLZbleBW2JMZ02uFUWtg7voE0DAMP7jvDjAt1jCp9dQQlifk56rpuvU0vUJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T10:53:59.225105Z"},"content_sha256":"ef539ac5805acd0ce2a11cf179f50fc8b8146b0d457ac4c68f2dacab4e112b27","schema_version":"1.0","event_id":"sha256:ef539ac5805acd0ce2a11cf179f50fc8b8146b0d457ac4c68f2dacab4e112b27"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:GJSLAUNGMANGJJFEUV63W4CSXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Handwritten Bangla Alphabet Recognition using an MLP Based Classifier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dipak Kumar Basu, Mahantapas Kundu, Mita Nasipuri, Nibaran Das, Ram Sarkar, Subhadip Basu","submitted_at":"2012-03-05T12:22:23Z","abstract_excerpt":"The work presented here involves the design of a Multi Layer Perceptron (MLP) based classifier for recognition of handwritten Bangla alphabet using a 76 element feature set Bangla is the second most popular script and language in the Indian subcontinent and the fifth most popular language in the world. The feature set developed for representing handwritten characters of Bangla alphabet includes 24 shadow features, 16 centroid features and 36 longest-run features. Recognition performances of the MLP designed to work with this feature set are experimentally observed as 86.46% and 75.05% on the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.0882","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":"2026-05-18T04:00:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9BlY3bc9p6ArTmQcwUt29tb6dJOiu1kFiOPnsPOvmONuLUxx8Hozr5+zgbADgDp//FsFBwwYNhQJCqyMNP71Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T10:53:59.225726Z"},"content_sha256":"2b4d4e2e51c94759023c8b8841d53b90648519d7a7378b767fad2d20110123d0","schema_version":"1.0","event_id":"sha256:2b4d4e2e51c94759023c8b8841d53b90648519d7a7378b767fad2d20110123d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GJSLAUNGMANGJJFEUV63W4CSXG/bundle.json","state_url":"https://pith.science/pith/GJSLAUNGMANGJJFEUV63W4CSXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GJSLAUNGMANGJJFEUV63W4CSXG/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":"2026-05-31T10:53:59Z","links":{"resolver":"https://pith.science/pith/GJSLAUNGMANGJJFEUV63W4CSXG","bundle":"https://pith.science/pith/GJSLAUNGMANGJJFEUV63W4CSXG/bundle.json","state":"https://pith.science/pith/GJSLAUNGMANGJJFEUV63W4CSXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GJSLAUNGMANGJJFEUV63W4CSXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:GJSLAUNGMANGJJFEUV63W4CSXG","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":"2e2e7a87904e4e958320f9c01dba09b2b435a93278579cf2e371a11bdca75d91","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-03-05T12:22:23Z","title_canon_sha256":"196f40f4e6fd8e326b4dc066875cceb51a815f8e9b5fffe54fe4624f71428816"},"schema_version":"1.0","source":{"id":"1203.0882","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.0882","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"arxiv_version","alias_value":"1203.0882v1","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.0882","created_at":"2026-05-18T04:00:50Z"},{"alias_kind":"pith_short_12","alias_value":"GJSLAUNGMANG","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GJSLAUNGMANGJJFE","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GJSLAUNG","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:2b4d4e2e51c94759023c8b8841d53b90648519d7a7378b767fad2d20110123d0","target":"graph","created_at":"2026-05-18T04:00:50Z","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":"The work presented here involves the design of a Multi Layer Perceptron (MLP) based classifier for recognition of handwritten Bangla alphabet using a 76 element feature set Bangla is the second most popular script and language in the Indian subcontinent and the fifth most popular language in the world. The feature set developed for representing handwritten characters of Bangla alphabet includes 24 shadow features, 16 centroid features and 36 longest-run features. Recognition performances of the MLP designed to work with this feature set are experimentally observed as 86.46% and 75.05% on the s","authors_text":"Dipak Kumar Basu, Mahantapas Kundu, Mita Nasipuri, Nibaran Das, Ram Sarkar, Subhadip Basu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-03-05T12:22:23Z","title":"Handwritten Bangla Alphabet Recognition using an MLP Based Classifier"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.0882","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:ef539ac5805acd0ce2a11cf179f50fc8b8146b0d457ac4c68f2dacab4e112b27","target":"record","created_at":"2026-05-18T04:00:50Z","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":"2e2e7a87904e4e958320f9c01dba09b2b435a93278579cf2e371a11bdca75d91","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-03-05T12:22:23Z","title_canon_sha256":"196f40f4e6fd8e326b4dc066875cceb51a815f8e9b5fffe54fe4624f71428816"},"schema_version":"1.0","source":{"id":"1203.0882","kind":"arxiv","version":1}},"canonical_sha256":"3264b051a6601a64a4a4a57dbb7052b9b5292559675886c07dbd17c1dfce90c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3264b051a6601a64a4a4a57dbb7052b9b5292559675886c07dbd17c1dfce90c3","first_computed_at":"2026-05-18T04:00:50.201517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:00:50.201517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ZJ6o1DjEGSo+CreKT1csV9AOp1NXI+wijxskr0JeanxmP8Ly0ZyXb6sw64qh7z/c6mdkNeVcnb8tax8sr5wCg==","signature_status":"signed_v1","signed_at":"2026-05-18T04:00:50.202281Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.0882","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef539ac5805acd0ce2a11cf179f50fc8b8146b0d457ac4c68f2dacab4e112b27","sha256:2b4d4e2e51c94759023c8b8841d53b90648519d7a7378b767fad2d20110123d0"],"state_sha256":"1f7d9af609bf92c7ecd960d5908e2fd09b3f2d4d05a087944b1a62ab347efb34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UbeytR4Y+qm9FlnLEjUH95ODaiGSYjvloScPzvqpwZaUzzmta35LLoDY9h/VXfsXcJ2RYeRDl8n6/xjZ0m2GDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T10:53:59.229292Z","bundle_sha256":"b709407282761eab8c32d0fc523d43b0c06993786307f15db39585be32137df9"}}