{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:R5EEYNZICFBYLM7IIWDCGLIBWN","short_pith_number":"pith:R5EEYNZI","canonical_record":{"source":{"id":"1510.05157","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-17T19:13:10Z","cross_cats_sorted":[],"title_canon_sha256":"c45b2736d40cf8901c024b66f8a920f60346174e78df0fe94378aadd6c11ba54","abstract_canon_sha256":"f81dac52049c0e36d38dc539202c01f1c0603a340cf5948b72fb1f1d3d6dcb35"},"schema_version":"1.0"},"canonical_sha256":"8f484c3728114385b3e84586232d01b376579906d98c8fb8c49e62c96ddba077","source":{"kind":"arxiv","id":"1510.05157","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.05157","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"arxiv_version","alias_value":"1510.05157v1","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.05157","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"pith_short_12","alias_value":"R5EEYNZICFBY","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"R5EEYNZICFBYLM7I","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"R5EEYNZI","created_at":"2026-05-18T12:29:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:R5EEYNZICFBYLM7IIWDCGLIBWN","target":"record","payload":{"canonical_record":{"source":{"id":"1510.05157","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-17T19:13:10Z","cross_cats_sorted":[],"title_canon_sha256":"c45b2736d40cf8901c024b66f8a920f60346174e78df0fe94378aadd6c11ba54","abstract_canon_sha256":"f81dac52049c0e36d38dc539202c01f1c0603a340cf5948b72fb1f1d3d6dcb35"},"schema_version":"1.0"},"canonical_sha256":"8f484c3728114385b3e84586232d01b376579906d98c8fb8c49e62c96ddba077","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:29:52.988367Z","signature_b64":"vxASvSfZyfZymUXom3AvPxzXhNkhbbl0BdntxnwCAefGM5LY5IQp42p7570wkXDTwBDc9LCEPfQ+JvxJgziUAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f484c3728114385b3e84586232d01b376579906d98c8fb8c49e62c96ddba077","last_reissued_at":"2026-05-18T01:29:52.987744Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:29:52.987744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1510.05157","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":"2026-05-18T01:29:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oi4JcTGX0bA8vTxf/8rE/se/l92Po5s15O3sZf6ALOoyO6boIBM+Oi59zyRwzLP99yfxX/6gTpThZncxEN+rAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T06:27:20.273780Z"},"content_sha256":"00beafb3e058d6324410abed38e547c407fe71a1f87c6d0483330602d417cbd0","schema_version":"1.0","event_id":"sha256:00beafb3e058d6324410abed38e547c407fe71a1f87c6d0483330602d417cbd0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:R5EEYNZICFBYLM7IIWDCGLIBWN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bruno Ferrarini, Klaus D. McDonald-Maier, Naveed ur Rehman, Shoaib Ehsan","submitted_at":"2015-10-17T19:13:10Z","abstract_excerpt":"Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research. No state-of-the-art image feature detector works satisfactorily under all types of image transformations. Although the literature offers a variety of comparison works focusing on performance evaluation of image feature detectors under several types of image transformation, the influence of the scene content on the performance of local feature detectors has received little attention so far. This paper aims to bridge "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.05157","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":"2026-05-18T01:29:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iRvEOWdkwtG4Z5oIJY7HcBjDh3sjYic9e2ONukJ4qMQ6Khv2S4QTeZFnAv7WHR5h2tcTue+gPY9rLYm2Apk0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T06:27:20.274126Z"},"content_sha256":"42191408e05091888730d18abdf2b7a43fba1d9fe04ed93f86a8d5b11702537d","schema_version":"1.0","event_id":"sha256:42191408e05091888730d18abdf2b7a43fba1d9fe04ed93f86a8d5b11702537d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/bundle.json","state_url":"https://pith.science/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/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":"2026-06-24T06:27:20Z","links":{"resolver":"https://pith.science/pith/R5EEYNZICFBYLM7IIWDCGLIBWN","bundle":"https://pith.science/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/bundle.json","state":"https://pith.science/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R5EEYNZICFBYLM7IIWDCGLIBWN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:R5EEYNZICFBYLM7IIWDCGLIBWN","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":"f81dac52049c0e36d38dc539202c01f1c0603a340cf5948b72fb1f1d3d6dcb35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-17T19:13:10Z","title_canon_sha256":"c45b2736d40cf8901c024b66f8a920f60346174e78df0fe94378aadd6c11ba54"},"schema_version":"1.0","source":{"id":"1510.05157","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.05157","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"arxiv_version","alias_value":"1510.05157v1","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.05157","created_at":"2026-05-18T01:29:52Z"},{"alias_kind":"pith_short_12","alias_value":"R5EEYNZICFBY","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"R5EEYNZICFBYLM7I","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"R5EEYNZI","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:42191408e05091888730d18abdf2b7a43fba1d9fe04ed93f86a8d5b11702537d","target":"graph","created_at":"2026-05-18T01:29:52Z","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":"Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research. No state-of-the-art image feature detector works satisfactorily under all types of image transformations. Although the literature offers a variety of comparison works focusing on performance evaluation of image feature detectors under several types of image transformation, the influence of the scene content on the performance of local feature detectors has received little attention so far. This paper aims to bridge ","authors_text":"Bruno Ferrarini, Klaus D. McDonald-Maier, Naveed ur Rehman, Shoaib Ehsan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-17T19:13:10Z","title":"Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.05157","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":"sha256:00beafb3e058d6324410abed38e547c407fe71a1f87c6d0483330602d417cbd0","target":"record","created_at":"2026-05-18T01:29:52Z","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":"f81dac52049c0e36d38dc539202c01f1c0603a340cf5948b72fb1f1d3d6dcb35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-17T19:13:10Z","title_canon_sha256":"c45b2736d40cf8901c024b66f8a920f60346174e78df0fe94378aadd6c11ba54"},"schema_version":"1.0","source":{"id":"1510.05157","kind":"arxiv","version":1}},"canonical_sha256":"8f484c3728114385b3e84586232d01b376579906d98c8fb8c49e62c96ddba077","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f484c3728114385b3e84586232d01b376579906d98c8fb8c49e62c96ddba077","first_computed_at":"2026-05-18T01:29:52.987744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:29:52.987744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vxASvSfZyfZymUXom3AvPxzXhNkhbbl0BdntxnwCAefGM5LY5IQp42p7570wkXDTwBDc9LCEPfQ+JvxJgziUAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:29:52.988367Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.05157","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00beafb3e058d6324410abed38e547c407fe71a1f87c6d0483330602d417cbd0","sha256:42191408e05091888730d18abdf2b7a43fba1d9fe04ed93f86a8d5b11702537d"],"state_sha256":"cf63715bb68cb06bc35326336d0b66b40806a8d3f348c21044a3ed1bcf2af950"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fxY9bHmd6X1I/514O4uSgWCRsYf4D3CbtF3CoYlTRDAOWPcRvVsoBIjU4C1IQUcjMyYx0fTrvW5a28EF3j/8AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T06:27:20.276047Z","bundle_sha256":"8d6a64942a8037d8b1daf7fc106adcacb8c80de202a1f592bf4628b4158d69b1"}}