{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:TQZHXJIMA65I4N2NKHLZLXLVLX","short_pith_number":"pith:TQZHXJIM","canonical_record":{"source":{"id":"1406.3949","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-16T09:50:04Z","cross_cats_sorted":[],"title_canon_sha256":"d06111850c0f1a1303d3aa888f82b73edd32ecd8229c16c38f7bfe85759ff7e0","abstract_canon_sha256":"996c61798e284092216abec3bf7177173ff16528f784507aadd4d782cd6f97fd"},"schema_version":"1.0"},"canonical_sha256":"9c327ba50c07ba8e374d51d795dd755df5ea8dc8fbec2c73976c2ea191b5d048","source":{"kind":"arxiv","id":"1406.3949","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.3949","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"1406.3949v1","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.3949","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"TQZHXJIMA65I","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQZHXJIMA65I4N2N","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQZHXJIM","created_at":"2026-05-18T12:28:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:TQZHXJIMA65I4N2NKHLZLXLVLX","target":"record","payload":{"canonical_record":{"source":{"id":"1406.3949","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-16T09:50:04Z","cross_cats_sorted":[],"title_canon_sha256":"d06111850c0f1a1303d3aa888f82b73edd32ecd8229c16c38f7bfe85759ff7e0","abstract_canon_sha256":"996c61798e284092216abec3bf7177173ff16528f784507aadd4d782cd6f97fd"},"schema_version":"1.0"},"canonical_sha256":"9c327ba50c07ba8e374d51d795dd755df5ea8dc8fbec2c73976c2ea191b5d048","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:49:39.466551Z","signature_b64":"z4bxGBQqmymXVAHbG2GBxYFFbhrclTg/bLjQc6jSiEVMxA9B71lST4mXky8UTk3RvQO/OjH+1OtHBDEqYpMCAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c327ba50c07ba8e374d51d795dd755df5ea8dc8fbec2c73976c2ea191b5d048","last_reissued_at":"2026-05-18T02:49:39.466220Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:49:39.466220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1406.3949","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":"2026-05-18T02:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fp6IswqsoWEsPpM41QbMgTzpsLbCAUIMHfsWDr1YsarmB1vAzTSWp26fo1Ug6HeJFq51XPa+kS7ozwGQlR0VBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T02:24:47.169670Z"},"content_sha256":"2ff3624717bdbc291e0fbec0ccd63ab5bec8f35a72957df5faf38b4a25c0cb4f","schema_version":"1.0","event_id":"sha256:2ff3624717bdbc291e0fbec0ccd63ab5bec8f35a72957df5faf38b4a25c0cb4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:TQZHXJIMA65I4N2NKHLZLXLVLX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Fusion of Labeled-Grid Shape Descriptors with Weighted Ranking Algorithm for Shapes Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jamil Ahmad, Shoaib Muhammad Khan, Zahoor Jan, Zia-ud-Din","submitted_at":"2014-06-16T09:50:04Z","abstract_excerpt":"Retrieving similar images from a large dataset based on the image content has been a very active research area and is a very challenging task. Studies have shown that retrieving similar images based on their shape is a very effective method. For this purpose a large number of methods exist in literature. The combination of more than one feature has also been investigated for this purpose and has shown promising results. In this paper a fusion based shapes recognition method has been proposed. A set of local boundary based and region based features are derived from the labeled grid based repres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.3949","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":"2026-05-18T02:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aN3yRiK12k/vkwMCwxWeKRTJuoSSJ0g4kjdDcMeQp+ZHCtiKloJ0MiulGNZPRB0TQnYEdqCltsGo7VdFhjLUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T02:24:47.170011Z"},"content_sha256":"dc64499e30833e821d44cb91ce7ed667f9a7330a6c84b9ff9aed2c9c323fb9db","schema_version":"1.0","event_id":"sha256:dc64499e30833e821d44cb91ce7ed667f9a7330a6c84b9ff9aed2c9c323fb9db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/bundle.json","state_url":"https://pith.science/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/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":"2026-06-27T02:24:47Z","links":{"resolver":"https://pith.science/pith/TQZHXJIMA65I4N2NKHLZLXLVLX","bundle":"https://pith.science/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/bundle.json","state":"https://pith.science/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TQZHXJIMA65I4N2NKHLZLXLVLX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:TQZHXJIMA65I4N2NKHLZLXLVLX","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":"996c61798e284092216abec3bf7177173ff16528f784507aadd4d782cd6f97fd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-16T09:50:04Z","title_canon_sha256":"d06111850c0f1a1303d3aa888f82b73edd32ecd8229c16c38f7bfe85759ff7e0"},"schema_version":"1.0","source":{"id":"1406.3949","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.3949","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"1406.3949v1","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.3949","created_at":"2026-05-18T02:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"TQZHXJIMA65I","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQZHXJIMA65I4N2N","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQZHXJIM","created_at":"2026-05-18T12:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:dc64499e30833e821d44cb91ce7ed667f9a7330a6c84b9ff9aed2c9c323fb9db","target":"graph","created_at":"2026-05-18T02:49:39Z","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":"Retrieving similar images from a large dataset based on the image content has been a very active research area and is a very challenging task. Studies have shown that retrieving similar images based on their shape is a very effective method. For this purpose a large number of methods exist in literature. The combination of more than one feature has also been investigated for this purpose and has shown promising results. In this paper a fusion based shapes recognition method has been proposed. A set of local boundary based and region based features are derived from the labeled grid based repres","authors_text":"Jamil Ahmad, Shoaib Muhammad Khan, Zahoor Jan, Zia-ud-Din","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-16T09:50:04Z","title":"A Fusion of Labeled-Grid Shape Descriptors with Weighted Ranking Algorithm for Shapes Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.3949","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":"sha256:2ff3624717bdbc291e0fbec0ccd63ab5bec8f35a72957df5faf38b4a25c0cb4f","target":"record","created_at":"2026-05-18T02:49:39Z","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":"996c61798e284092216abec3bf7177173ff16528f784507aadd4d782cd6f97fd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-06-16T09:50:04Z","title_canon_sha256":"d06111850c0f1a1303d3aa888f82b73edd32ecd8229c16c38f7bfe85759ff7e0"},"schema_version":"1.0","source":{"id":"1406.3949","kind":"arxiv","version":1}},"canonical_sha256":"9c327ba50c07ba8e374d51d795dd755df5ea8dc8fbec2c73976c2ea191b5d048","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c327ba50c07ba8e374d51d795dd755df5ea8dc8fbec2c73976c2ea191b5d048","first_computed_at":"2026-05-18T02:49:39.466220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:49:39.466220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z4bxGBQqmymXVAHbG2GBxYFFbhrclTg/bLjQc6jSiEVMxA9B71lST4mXky8UTk3RvQO/OjH+1OtHBDEqYpMCAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:49:39.466551Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.3949","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ff3624717bdbc291e0fbec0ccd63ab5bec8f35a72957df5faf38b4a25c0cb4f","sha256:dc64499e30833e821d44cb91ce7ed667f9a7330a6c84b9ff9aed2c9c323fb9db"],"state_sha256":"fdfcb78376b86c4cf1d8e96046e26914327d8b9c2dc4f72977b8acd29ea111c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bAtER53liTTzBgxK0tMBY1X6AHiDm8olnKB3u2PIFN9JeBSfCai78rdBgyKppoV5dse6+XR7XYC11cJlLuksAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T02:24:47.171884Z","bundle_sha256":"a55ca80a6a30d5d01ca5e752ed3ba09e13f6b0c2642e1bf062997dbc00f09e4f"}}