{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:X2UJ4U7MILG72EGDXQQO3NYAHP","short_pith_number":"pith:X2UJ4U7M","canonical_record":{"source":{"id":"1605.02775","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-09T20:48:20Z","cross_cats_sorted":[],"title_canon_sha256":"29a2291ac329f7cfad7db46c31842d067d27eadbf2aca6e87c2950517737aa0a","abstract_canon_sha256":"92ef4dc35f7961f8d3e95ffa1c64a860cd3207982161d4d4db1e4a95528fa46e"},"schema_version":"1.0"},"canonical_sha256":"bea89e53ec42cdfd10c3bc20edb7003bd44df5b9e2428a8f55ab2ef380c87701","source":{"kind":"arxiv","id":"1605.02775","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.02775","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"1605.02775v1","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.02775","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"X2UJ4U7MILG7","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"X2UJ4U7MILG72EGD","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"X2UJ4U7M","created_at":"2026-05-18T12:30:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:X2UJ4U7MILG72EGDXQQO3NYAHP","target":"record","payload":{"canonical_record":{"source":{"id":"1605.02775","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-09T20:48:20Z","cross_cats_sorted":[],"title_canon_sha256":"29a2291ac329f7cfad7db46c31842d067d27eadbf2aca6e87c2950517737aa0a","abstract_canon_sha256":"92ef4dc35f7961f8d3e95ffa1c64a860cd3207982161d4d4db1e4a95528fa46e"},"schema_version":"1.0"},"canonical_sha256":"bea89e53ec42cdfd10c3bc20edb7003bd44df5b9e2428a8f55ab2ef380c87701","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:15:13.183787Z","signature_b64":"kuroWTrK0d+n35G6zW5SCrQ4EHwyZnVt+JYYsbX8e4CWpA8LAH7D//T0qNa14sW7hkB0vzwzNIgtIY7Ed1UcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bea89e53ec42cdfd10c3bc20edb7003bd44df5b9e2428a8f55ab2ef380c87701","last_reissued_at":"2026-05-18T01:15:13.183106Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:15:13.183106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.02775","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":"2026-05-18T01:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2hYau1D2MpvLnjfRMgTH+oYuIRqbG+uFu2jM8dO/aulDb7MZhS6rnaRNyo5GfMbuVyZssqZ+arLjQGKsEocEAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T06:07:29.433109Z"},"content_sha256":"d6b8393f2ceb6097778138986f79c690d7d4f8ba790891f770ef7705f6b0f048","schema_version":"1.0","event_id":"sha256:d6b8393f2ceb6097778138986f79c690d7d4f8ba790891f770ef7705f6b0f048"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:X2UJ4U7MILG72EGDXQQO3NYAHP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carlos Ariel Diaz, Diego Sebasti\\'an P\\'erez, Facundo Bromberg","submitted_at":"2016-05-09T20:48:20Z","abstract_excerpt":"In viticulture, there are several applications where bud detection in vineyard images is a necessary task, susceptible of being automated through the use of computer vision methods. A common and effective family of visual detection algorithms are the scanning-window type, that slide a (usually) fixed size window along the original image, classifying each resulting windowed-patch as containing or not containing the target object. The simplicity of these algorithms finds its most challenging aspect in the classification stage. Interested in grapevine buds detection in natural field conditions, t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.02775","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":"2026-05-18T01:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"msmJI3RzdJN8nDW6+WjLojxtBGlfY0CcvYxErlbjYEr2DTZw49YBbZUafle8PXXOH77+wwQaMD69I1boL4J0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T06:07:29.433891Z"},"content_sha256":"54adecd4e59c10d3f18166bcc4a1c49c092bdd05fa49006bc006b5027614e783","schema_version":"1.0","event_id":"sha256:54adecd4e59c10d3f18166bcc4a1c49c092bdd05fa49006bc006b5027614e783"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/bundle.json","state_url":"https://pith.science/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/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":"2026-06-06T06:07:29Z","links":{"resolver":"https://pith.science/pith/X2UJ4U7MILG72EGDXQQO3NYAHP","bundle":"https://pith.science/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/bundle.json","state":"https://pith.science/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X2UJ4U7MILG72EGDXQQO3NYAHP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:X2UJ4U7MILG72EGDXQQO3NYAHP","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":"92ef4dc35f7961f8d3e95ffa1c64a860cd3207982161d4d4db1e4a95528fa46e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-09T20:48:20Z","title_canon_sha256":"29a2291ac329f7cfad7db46c31842d067d27eadbf2aca6e87c2950517737aa0a"},"schema_version":"1.0","source":{"id":"1605.02775","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.02775","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"1605.02775v1","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.02775","created_at":"2026-05-18T01:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"X2UJ4U7MILG7","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"X2UJ4U7MILG72EGD","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"X2UJ4U7M","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:54adecd4e59c10d3f18166bcc4a1c49c092bdd05fa49006bc006b5027614e783","target":"graph","created_at":"2026-05-18T01:15:13Z","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":"In viticulture, there are several applications where bud detection in vineyard images is a necessary task, susceptible of being automated through the use of computer vision methods. A common and effective family of visual detection algorithms are the scanning-window type, that slide a (usually) fixed size window along the original image, classifying each resulting windowed-patch as containing or not containing the target object. The simplicity of these algorithms finds its most challenging aspect in the classification stage. Interested in grapevine buds detection in natural field conditions, t","authors_text":"Carlos Ariel Diaz, Diego Sebasti\\'an P\\'erez, Facundo Bromberg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-09T20:48:20Z","title":"Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.02775","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:d6b8393f2ceb6097778138986f79c690d7d4f8ba790891f770ef7705f6b0f048","target":"record","created_at":"2026-05-18T01:15:13Z","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":"92ef4dc35f7961f8d3e95ffa1c64a860cd3207982161d4d4db1e4a95528fa46e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-09T20:48:20Z","title_canon_sha256":"29a2291ac329f7cfad7db46c31842d067d27eadbf2aca6e87c2950517737aa0a"},"schema_version":"1.0","source":{"id":"1605.02775","kind":"arxiv","version":1}},"canonical_sha256":"bea89e53ec42cdfd10c3bc20edb7003bd44df5b9e2428a8f55ab2ef380c87701","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bea89e53ec42cdfd10c3bc20edb7003bd44df5b9e2428a8f55ab2ef380c87701","first_computed_at":"2026-05-18T01:15:13.183106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:15:13.183106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kuroWTrK0d+n35G6zW5SCrQ4EHwyZnVt+JYYsbX8e4CWpA8LAH7D//T0qNa14sW7hkB0vzwzNIgtIY7Ed1UcAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:15:13.183787Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.02775","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6b8393f2ceb6097778138986f79c690d7d4f8ba790891f770ef7705f6b0f048","sha256:54adecd4e59c10d3f18166bcc4a1c49c092bdd05fa49006bc006b5027614e783"],"state_sha256":"332a146c8b417ad401da92991e6963ed6203c1411d10ce01644f633ef346ca0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"axdDE42yl4mvg+NADN8LN8tqsvkRPhfBaZav47fimtclSngQPz7PQxMbqeKqWvDYYBTNooMyrVIHeFGewmuyDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T06:07:29.437306Z","bundle_sha256":"18c5af895f70ac5c3f58f38daedbd99ec3b0d5e1e4d496c442029a4ed7283a9f"}}