{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:YELCEACOMSRKI6GDTCGAI6S4JP","short_pith_number":"pith:YELCEACO","canonical_record":{"source":{"id":"1405.5422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-05-21T13:44:50Z","cross_cats_sorted":[],"title_canon_sha256":"0c8a6db63d8f2156a78172ed23814247f7a3abe8a7684791ab512d090da9b536","abstract_canon_sha256":"723efa756241d7c23cd401da6baf3e92e17150427cce7507a32a300dc6d47b9e"},"schema_version":"1.0"},"canonical_sha256":"c11622004e64a2a478c3988c047a5c4bed47cfb94066b6a7fad44dc2fde29f7e","source":{"kind":"arxiv","id":"1405.5422","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.5422","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"arxiv_version","alias_value":"1405.5422v1","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.5422","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"pith_short_12","alias_value":"YELCEACOMSRK","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"YELCEACOMSRKI6GD","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"YELCEACO","created_at":"2026-05-18T12:28:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:YELCEACOMSRKI6GDTCGAI6S4JP","target":"record","payload":{"canonical_record":{"source":{"id":"1405.5422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-05-21T13:44:50Z","cross_cats_sorted":[],"title_canon_sha256":"0c8a6db63d8f2156a78172ed23814247f7a3abe8a7684791ab512d090da9b536","abstract_canon_sha256":"723efa756241d7c23cd401da6baf3e92e17150427cce7507a32a300dc6d47b9e"},"schema_version":"1.0"},"canonical_sha256":"c11622004e64a2a478c3988c047a5c4bed47cfb94066b6a7fad44dc2fde29f7e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:24.238875Z","signature_b64":"WYIry8ZFrlY/27kb8X4a8OCNVUNn6cJxZov3i2J6iAHzM2rKs6xsY01eZ/qzLMUY8AKfEAm4Q2nwDS2wa7N8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c11622004e64a2a478c3988c047a5c4bed47cfb94066b6a7fad44dc2fde29f7e","last_reissued_at":"2026-05-18T02:51:24.238155Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:24.238155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1405.5422","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":"2026-05-18T02:51:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ygQGIx11oevP9ZArZX1KQ4Zj4ZLZGf7UssZ6x7H2TzaDXGgaLNAzvBd/el0ZheVgdUb9SIABPhnu3w1/1UAuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T13:55:30.585517Z"},"content_sha256":"3ef5bc548f3d08fc58779a13b132c6c5920ceef87942933c1107c576546fffb6","schema_version":"1.0","event_id":"sha256:3ef5bc548f3d08fc58779a13b132c6c5920ceef87942933c1107c576546fffb6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:YELCEACOMSRKI6GDTCGAI6S4JP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Fuzzy corner detector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Zaldivar, Edgar Sanchez, Erik Cuevas, Marco Perez, Marte Ramirez","submitted_at":"2014-05-21T13:44:50Z","abstract_excerpt":"Reliable corner detection is an important task in determining the shape of different regions within an image. Real-life image data are always imprecise due to inherent uncertainties that may arise from the imaging process such as defocusing, illumination changes, noise, etc. Therefore, the localization and detection of corners has become a difficult task to accomplish under such imperfect situations. On the other hand, Fuzzy systems are well known for their efficient handling of impreciseness and incompleteness, which make them inherently suitable for modelling corner properties by means of a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.5422","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":"2026-05-18T02:51:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1e+Hvr0hWPPyUrY+tjOZBGuOugu947iMbcFeE7bAk9bSIEQjDSWsafe52M/ViBXGDlVsGzEeRGKhki49HQqUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T13:55:30.585855Z"},"content_sha256":"b07b874f48033711e8b4be02eb46a0cd784a9329dea2da099dc655f330e72488","schema_version":"1.0","event_id":"sha256:b07b874f48033711e8b4be02eb46a0cd784a9329dea2da099dc655f330e72488"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YELCEACOMSRKI6GDTCGAI6S4JP/bundle.json","state_url":"https://pith.science/pith/YELCEACOMSRKI6GDTCGAI6S4JP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YELCEACOMSRKI6GDTCGAI6S4JP/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":"2026-07-08T13:55:30Z","links":{"resolver":"https://pith.science/pith/YELCEACOMSRKI6GDTCGAI6S4JP","bundle":"https://pith.science/pith/YELCEACOMSRKI6GDTCGAI6S4JP/bundle.json","state":"https://pith.science/pith/YELCEACOMSRKI6GDTCGAI6S4JP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YELCEACOMSRKI6GDTCGAI6S4JP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:YELCEACOMSRKI6GDTCGAI6S4JP","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":"723efa756241d7c23cd401da6baf3e92e17150427cce7507a32a300dc6d47b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-05-21T13:44:50Z","title_canon_sha256":"0c8a6db63d8f2156a78172ed23814247f7a3abe8a7684791ab512d090da9b536"},"schema_version":"1.0","source":{"id":"1405.5422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.5422","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"arxiv_version","alias_value":"1405.5422v1","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.5422","created_at":"2026-05-18T02:51:24Z"},{"alias_kind":"pith_short_12","alias_value":"YELCEACOMSRK","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"YELCEACOMSRKI6GD","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"YELCEACO","created_at":"2026-05-18T12:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:b07b874f48033711e8b4be02eb46a0cd784a9329dea2da099dc655f330e72488","target":"graph","created_at":"2026-05-18T02:51:24Z","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":"Reliable corner detection is an important task in determining the shape of different regions within an image. Real-life image data are always imprecise due to inherent uncertainties that may arise from the imaging process such as defocusing, illumination changes, noise, etc. Therefore, the localization and detection of corners has become a difficult task to accomplish under such imperfect situations. On the other hand, Fuzzy systems are well known for their efficient handling of impreciseness and incompleteness, which make them inherently suitable for modelling corner properties by means of a ","authors_text":"Daniel Zaldivar, Edgar Sanchez, Erik Cuevas, Marco Perez, Marte Ramirez","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-05-21T13:44:50Z","title":"Robust Fuzzy corner detector"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.5422","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":"sha256:3ef5bc548f3d08fc58779a13b132c6c5920ceef87942933c1107c576546fffb6","target":"record","created_at":"2026-05-18T02:51:24Z","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":"723efa756241d7c23cd401da6baf3e92e17150427cce7507a32a300dc6d47b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-05-21T13:44:50Z","title_canon_sha256":"0c8a6db63d8f2156a78172ed23814247f7a3abe8a7684791ab512d090da9b536"},"schema_version":"1.0","source":{"id":"1405.5422","kind":"arxiv","version":1}},"canonical_sha256":"c11622004e64a2a478c3988c047a5c4bed47cfb94066b6a7fad44dc2fde29f7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c11622004e64a2a478c3988c047a5c4bed47cfb94066b6a7fad44dc2fde29f7e","first_computed_at":"2026-05-18T02:51:24.238155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:51:24.238155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WYIry8ZFrlY/27kb8X4a8OCNVUNn6cJxZov3i2J6iAHzM2rKs6xsY01eZ/qzLMUY8AKfEAm4Q2nwDS2wa7N8AA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:51:24.238875Z","signed_message":"canonical_sha256_bytes"},"source_id":"1405.5422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ef5bc548f3d08fc58779a13b132c6c5920ceef87942933c1107c576546fffb6","sha256:b07b874f48033711e8b4be02eb46a0cd784a9329dea2da099dc655f330e72488"],"state_sha256":"d4d321663ce150752285cae9a02dbded9f6eadc409be01648ad6cd2642ff7280"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"039QQjRtpEmw7xOqh+3ypweHjb/4iRXFSiv+VZCMc6DbOJiMWIu5v3nc7on/4brWrf0dsZ9iWul2msBJLcMaDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T13:55:30.587755Z","bundle_sha256":"76388561e49e1d392d6a3428a5ae842f35d89fcd43bdab04c37d02fdaeef6af9"}}