{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:UD25Z7SKK7SRUTDH6N62GGXOHI","short_pith_number":"pith:UD25Z7SK","canonical_record":{"source":{"id":"1604.02030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-07T15:09:08Z","cross_cats_sorted":[],"title_canon_sha256":"7b5d0e0332aaa598d03f5cb2e68def8e1be6d24e60e5527a49cd36b821b74c73","abstract_canon_sha256":"d22e5e3e126adbd2eb4ab16bda450c1e2097053d71809dae0ef229831764c8d5"},"schema_version":"1.0"},"canonical_sha256":"a0f5dcfe4a57e51a4c67f37da31aee3a1492a04afb2ea2312f6d55c71f52bdba","source":{"kind":"arxiv","id":"1604.02030","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.02030","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"1604.02030v1","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.02030","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"UD25Z7SKK7SR","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UD25Z7SKK7SRUTDH","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UD25Z7SK","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:UD25Z7SKK7SRUTDH6N62GGXOHI","target":"record","payload":{"canonical_record":{"source":{"id":"1604.02030","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-07T15:09:08Z","cross_cats_sorted":[],"title_canon_sha256":"7b5d0e0332aaa598d03f5cb2e68def8e1be6d24e60e5527a49cd36b821b74c73","abstract_canon_sha256":"d22e5e3e126adbd2eb4ab16bda450c1e2097053d71809dae0ef229831764c8d5"},"schema_version":"1.0"},"canonical_sha256":"a0f5dcfe4a57e51a4c67f37da31aee3a1492a04afb2ea2312f6d55c71f52bdba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:31.404161Z","signature_b64":"CHSAYE4tYSTmTvtZBOYA3+hiA/YEkaJUkW3iBjt1rlWM24sXI3M3YQp9JamqDkM4YIBA2Y3HjqcUFUIaX/rJAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0f5dcfe4a57e51a4c67f37da31aee3a1492a04afb2ea2312f6d55c71f52bdba","last_reissued_at":"2026-05-18T01:17:31.403502Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:31.403502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.02030","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":"2026-05-18T01:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raSJo8XTaPkrwyiGokcdQlNftMepw2p5xGG84cZqj6qyK8cBMQg4wqyZamWqesAZS2lwoLM+1Asd8dMsgCooBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:49:31.837456Z"},"content_sha256":"a61b57d0f5c7e247fc7e3b5d74595a547308487c77a4bc03250be09a69e74879","schema_version":"1.0","event_id":"sha256:a61b57d0f5c7e247fc7e3b5d74595a547308487c77a4bc03250be09a69e74879"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:UD25Z7SKK7SRUTDH6N62GGXOHI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Edge Detection Based Shape Identification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amrindra Pal, Sandeep Sharma, Sumit Pandey, Vivek Kumar","submitted_at":"2016-04-07T15:09:08Z","abstract_excerpt":"Image recognition is the need of the hour. In order to be able to recognize an image, it is of immense importance that the image should be distinguishable from the background. In the present work, an approach is presented for automatic detection and recognition of regular 2D shapes in low noise environments. The work has a large number of direct applications in the real world. The algorithm proposed is based on locating the edges and thus, in turn calculating the area of the object helps in identification of a specified shape. The results were simulated using MATLAB tool are encouraging and va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.02030","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":"2026-05-18T01:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YaM3NowzTx9D5mFHCeEaKgUHzGHGwmJirGyM0l/UHtB7tqSq0I3LAUwxqvbhqQ3LxdYL4WiJ6GgJlVTpBf86AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:49:31.837883Z"},"content_sha256":"f1a68def985b06164be8b0369c25e08840d041f26560ea9c94c06571b316422a","schema_version":"1.0","event_id":"sha256:f1a68def985b06164be8b0369c25e08840d041f26560ea9c94c06571b316422a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/bundle.json","state_url":"https://pith.science/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/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":"2026-06-04T06:49:31Z","links":{"resolver":"https://pith.science/pith/UD25Z7SKK7SRUTDH6N62GGXOHI","bundle":"https://pith.science/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/bundle.json","state":"https://pith.science/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UD25Z7SKK7SRUTDH6N62GGXOHI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:UD25Z7SKK7SRUTDH6N62GGXOHI","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":"d22e5e3e126adbd2eb4ab16bda450c1e2097053d71809dae0ef229831764c8d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-07T15:09:08Z","title_canon_sha256":"7b5d0e0332aaa598d03f5cb2e68def8e1be6d24e60e5527a49cd36b821b74c73"},"schema_version":"1.0","source":{"id":"1604.02030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.02030","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"1604.02030v1","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.02030","created_at":"2026-05-18T01:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"UD25Z7SKK7SR","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UD25Z7SKK7SRUTDH","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UD25Z7SK","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:f1a68def985b06164be8b0369c25e08840d041f26560ea9c94c06571b316422a","target":"graph","created_at":"2026-05-18T01:17:31Z","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 recognition is the need of the hour. In order to be able to recognize an image, it is of immense importance that the image should be distinguishable from the background. In the present work, an approach is presented for automatic detection and recognition of regular 2D shapes in low noise environments. The work has a large number of direct applications in the real world. The algorithm proposed is based on locating the edges and thus, in turn calculating the area of the object helps in identification of a specified shape. The results were simulated using MATLAB tool are encouraging and va","authors_text":"Amrindra Pal, Sandeep Sharma, Sumit Pandey, Vivek Kumar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-07T15:09:08Z","title":"Edge Detection Based Shape Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.02030","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:a61b57d0f5c7e247fc7e3b5d74595a547308487c77a4bc03250be09a69e74879","target":"record","created_at":"2026-05-18T01:17:31Z","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":"d22e5e3e126adbd2eb4ab16bda450c1e2097053d71809dae0ef229831764c8d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-07T15:09:08Z","title_canon_sha256":"7b5d0e0332aaa598d03f5cb2e68def8e1be6d24e60e5527a49cd36b821b74c73"},"schema_version":"1.0","source":{"id":"1604.02030","kind":"arxiv","version":1}},"canonical_sha256":"a0f5dcfe4a57e51a4c67f37da31aee3a1492a04afb2ea2312f6d55c71f52bdba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0f5dcfe4a57e51a4c67f37da31aee3a1492a04afb2ea2312f6d55c71f52bdba","first_computed_at":"2026-05-18T01:17:31.403502Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:31.403502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CHSAYE4tYSTmTvtZBOYA3+hiA/YEkaJUkW3iBjt1rlWM24sXI3M3YQp9JamqDkM4YIBA2Y3HjqcUFUIaX/rJAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:31.404161Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.02030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a61b57d0f5c7e247fc7e3b5d74595a547308487c77a4bc03250be09a69e74879","sha256:f1a68def985b06164be8b0369c25e08840d041f26560ea9c94c06571b316422a"],"state_sha256":"71b73117cc5210af95f13e7f68789b38640df2e2093e161225e8008c2146f14d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MnXDmkePnyOSK8W4W8JR+wRMeGasPc+PGMOfUzaYOdFJ53C/Zk/B8LiV1Jj2Vx2Um2VysQc2vjyiLJdZaIeAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T06:49:31.840760Z","bundle_sha256":"a96f982cb1a747b0b8b41718fa703ba41415bdba97495b73db07103fe6d02c98"}}