{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:EX3TCZGNSMM2MZNYDLDE7MQYK4","short_pith_number":"pith:EX3TCZGN","canonical_record":{"source":{"id":"1605.04770","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-16T13:45:15Z","cross_cats_sorted":["cs.IR","cs.MM"],"title_canon_sha256":"1eaad3d4e8bb7fdbff2d286a3d93084d76231a5ead7862c0a178500d70ad61aa","abstract_canon_sha256":"6dd2090745c042471a12d5e8eaeb052b5ba7ad66ba458657259d60b01f0da55b"},"schema_version":"1.0"},"canonical_sha256":"25f73164cd9319a665b81ac64fb218573b76e5c11e93a59766225d08d44f926e","source":{"kind":"arxiv","id":"1605.04770","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04770","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04770v3","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04770","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"pith_short_12","alias_value":"EX3TCZGNSMM2","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EX3TCZGNSMM2MZNY","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EX3TCZGN","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:EX3TCZGNSMM2MZNYDLDE7MQYK4","target":"record","payload":{"canonical_record":{"source":{"id":"1605.04770","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-16T13:45:15Z","cross_cats_sorted":["cs.IR","cs.MM"],"title_canon_sha256":"1eaad3d4e8bb7fdbff2d286a3d93084d76231a5ead7862c0a178500d70ad61aa","abstract_canon_sha256":"6dd2090745c042471a12d5e8eaeb052b5ba7ad66ba458657259d60b01f0da55b"},"schema_version":"1.0"},"canonical_sha256":"25f73164cd9319a665b81ac64fb218573b76e5c11e93a59766225d08d44f926e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:18.581853Z","signature_b64":"VUVzi1mY8zmaXPCvDFdW6jTdBObyfB3H4IfTDfubtKIHkEV+E49WjhEQjOp7zLhZQkvD1ZBVIq6uFBLJA+DcDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25f73164cd9319a665b81ac64fb218573b76e5c11e93a59766225d08d44f926e","last_reissued_at":"2026-05-18T00:43:18.581331Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:18.581331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.04770","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Af0X5i/hDxnVpLf0gJQJgpXVByeQFpCyzCB0FyeKj3IzijNSzSxqS6aTCUjhEwoSC4NpaFXEKo3jZ7rVxmDJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T04:21:39.130757Z"},"content_sha256":"b7163321820b3976c14355e323a4342ccac52af06996214ea93b15db6a68c186","schema_version":"1.0","event_id":"sha256:b7163321820b3976c14355e323a4342ccac52af06996214ea93b15db6a68c186"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:EX3TCZGNSMM2MZNYDLDE7MQYK4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Image Annotation via Label Transfer in the Semantic Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.MM"],"primary_cat":"cs.CV","authors_text":"Alberto Del Bimbo, Lamberto Ballan, Lorenzo Seidenari, Tiberio Uricchio","submitted_at":"2016-05-16T13:45:15Z","abstract_excerpt":"Automatic image annotation is among the fundamental problems in computer vision and pattern recognition, and it is becoming increasingly important in order to develop algorithms that are able to search and browse large-scale image collections. In this paper, we propose a label propagation framework based on Kernel Canonical Correlation Analysis (KCCA), which builds a latent semantic space where correlation of visual and textual features are well preserved into a semantic embedding. The proposed approach is robust and can work either when the training set is well annotated by experts, as well a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04770","kind":"arxiv","version":3},"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":"2026-05-18T00:43:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nu1KvfFlfr4WIl8ULfruo1eXmyYArjIGEMplVfzI03eIyT/fHO2a+17+qezyL+clrS7WwITqaIt/lmEQMvwTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T04:21:39.131629Z"},"content_sha256":"d43719ce413113b7b8641ba3912a7ae5ed219cb6833cef6c0c41de12786d8a09","schema_version":"1.0","event_id":"sha256:d43719ce413113b7b8641ba3912a7ae5ed219cb6833cef6c0c41de12786d8a09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/bundle.json","state_url":"https://pith.science/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/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":"2026-05-31T04:21:39Z","links":{"resolver":"https://pith.science/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4","bundle":"https://pith.science/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/bundle.json","state":"https://pith.science/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EX3TCZGNSMM2MZNYDLDE7MQYK4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EX3TCZGNSMM2MZNYDLDE7MQYK4","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":"6dd2090745c042471a12d5e8eaeb052b5ba7ad66ba458657259d60b01f0da55b","cross_cats_sorted":["cs.IR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-16T13:45:15Z","title_canon_sha256":"1eaad3d4e8bb7fdbff2d286a3d93084d76231a5ead7862c0a178500d70ad61aa"},"schema_version":"1.0","source":{"id":"1605.04770","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04770","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04770v3","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04770","created_at":"2026-05-18T00:43:18Z"},{"alias_kind":"pith_short_12","alias_value":"EX3TCZGNSMM2","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EX3TCZGNSMM2MZNY","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EX3TCZGN","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:d43719ce413113b7b8641ba3912a7ae5ed219cb6833cef6c0c41de12786d8a09","target":"graph","created_at":"2026-05-18T00:43:18Z","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":"Automatic image annotation is among the fundamental problems in computer vision and pattern recognition, and it is becoming increasingly important in order to develop algorithms that are able to search and browse large-scale image collections. In this paper, we propose a label propagation framework based on Kernel Canonical Correlation Analysis (KCCA), which builds a latent semantic space where correlation of visual and textual features are well preserved into a semantic embedding. The proposed approach is robust and can work either when the training set is well annotated by experts, as well a","authors_text":"Alberto Del Bimbo, Lamberto Ballan, Lorenzo Seidenari, Tiberio Uricchio","cross_cats":["cs.IR","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-16T13:45:15Z","title":"Automatic Image Annotation via Label Transfer in the Semantic Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04770","kind":"arxiv","version":3},"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:b7163321820b3976c14355e323a4342ccac52af06996214ea93b15db6a68c186","target":"record","created_at":"2026-05-18T00:43:18Z","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":"6dd2090745c042471a12d5e8eaeb052b5ba7ad66ba458657259d60b01f0da55b","cross_cats_sorted":["cs.IR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-16T13:45:15Z","title_canon_sha256":"1eaad3d4e8bb7fdbff2d286a3d93084d76231a5ead7862c0a178500d70ad61aa"},"schema_version":"1.0","source":{"id":"1605.04770","kind":"arxiv","version":3}},"canonical_sha256":"25f73164cd9319a665b81ac64fb218573b76e5c11e93a59766225d08d44f926e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25f73164cd9319a665b81ac64fb218573b76e5c11e93a59766225d08d44f926e","first_computed_at":"2026-05-18T00:43:18.581331Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:18.581331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VUVzi1mY8zmaXPCvDFdW6jTdBObyfB3H4IfTDfubtKIHkEV+E49WjhEQjOp7zLhZQkvD1ZBVIq6uFBLJA+DcDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:18.581853Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.04770","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7163321820b3976c14355e323a4342ccac52af06996214ea93b15db6a68c186","sha256:d43719ce413113b7b8641ba3912a7ae5ed219cb6833cef6c0c41de12786d8a09"],"state_sha256":"5b4ab3a45a43c180cacf73f6fd99c40217dc79f0861935842b2b70af2cec5bec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kzML7UHR+FVwGGngZKfb74pgJ+OHCrlZBukIN8gSGZ361pTEykj/40Z5wkx/R+l0iDkUjGRMLyCw8PN1sMH0AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T04:21:39.136975Z","bundle_sha256":"70e838d21b33c71b5b5036ac7fe919707439780d436ca35c87e5394af4bee9ea"}}