{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XP4RBYEU2W47WJYGL5R3XSQBSK","short_pith_number":"pith:XP4RBYEU","canonical_record":{"source":{"id":"1811.07120","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-17T08:00:41Z","cross_cats_sorted":[],"title_canon_sha256":"0f8d992e82fc5dac45011e240b2538989e2f24309dd4ccf953a592b8a9f4558f","abstract_canon_sha256":"5f136d1c0eebf9ff702fc4b4476fa489452f7978607792134ef5f1b37d4fc4ae"},"schema_version":"1.0"},"canonical_sha256":"bbf910e094d5b9fb27065f63bbca0192bbe97311d35d182c8e7ff5cb8dd663dd","source":{"kind":"arxiv","id":"1811.07120","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07120","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07120v2","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07120","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"pith_short_12","alias_value":"XP4RBYEU2W47","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XP4RBYEU2W47WJYG","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XP4RBYEU","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XP4RBYEU2W47WJYGL5R3XSQBSK","target":"record","payload":{"canonical_record":{"source":{"id":"1811.07120","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-17T08:00:41Z","cross_cats_sorted":[],"title_canon_sha256":"0f8d992e82fc5dac45011e240b2538989e2f24309dd4ccf953a592b8a9f4558f","abstract_canon_sha256":"5f136d1c0eebf9ff702fc4b4476fa489452f7978607792134ef5f1b37d4fc4ae"},"schema_version":"1.0"},"canonical_sha256":"bbf910e094d5b9fb27065f63bbca0192bbe97311d35d182c8e7ff5cb8dd663dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:37.921253Z","signature_b64":"Eme9oB+v9GYm2kutPHvs/wkkpR/ycB1js6ea97ImNfyF5Hzw1VZ2IU2fIsDhZRss0eAYRkhv0wugbsG0VGx5Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbf910e094d5b9fb27065f63bbca0192bbe97311d35d182c8e7ff5cb8dd663dd","last_reissued_at":"2026-05-17T23:44:37.920828Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:37.920828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.07120","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5RyP01DW8BPglKxNnXr0jw8wsHFqgqBHYnfmIqUaCbYASWM1IQ3JD61iNp+z2m0YTiAqaiWAANADRXAoelOQBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:01:38.287187Z"},"content_sha256":"a6e2241aaeaaa018cbac52a9d682c26b5a9f7b58affb07f370ea795dd68ed0ba","schema_version":"1.0","event_id":"sha256:a6e2241aaeaaa018cbac52a9d682c26b5a9f7b58affb07f370ea795dd68ed0ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XP4RBYEU2W47WJYGL5R3XSQBSK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Not just a matter of semantics: the relationship between visual similarity and semantic similarity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Clemens-Alexander Brust, Joachim Denzler","submitted_at":"2018-11-17T08:00:41Z","abstract_excerpt":"Knowledge transfer, zero-shot learning and semantic image retrieval are methods that aim at improving accuracy by utilizing semantic information, e.g. from WordNet. It is assumed that this information can augment or replace missing visual data in the form of labeled training images because semantic similarity correlates with visual similarity. This assumption may seem trivial, but is crucial for the application of such semantic methods. Any violation can cause mispredictions. Thus, it is important to examine the visual-semantic relationship for a certain target problem. In this paper, we use f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07120","kind":"arxiv","version":2},"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":"2026-05-17T23:44:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gGgD23PFj/Mk1fUCQMBNOXmJhQ1wqox5W8jLkuUm04kcaDy550OJ0piUOvCYXsE+iAHOeGLVDpaURecJdNLoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:01:38.287559Z"},"content_sha256":"0d0c114c1572c49dd2ece3d7b62b684ea43f8f9bd2517e4182aee9983fa72ceb","schema_version":"1.0","event_id":"sha256:0d0c114c1572c49dd2ece3d7b62b684ea43f8f9bd2517e4182aee9983fa72ceb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/bundle.json","state_url":"https://pith.science/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/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":"2026-06-20T04:01:38Z","links":{"resolver":"https://pith.science/pith/XP4RBYEU2W47WJYGL5R3XSQBSK","bundle":"https://pith.science/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/bundle.json","state":"https://pith.science/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XP4RBYEU2W47WJYGL5R3XSQBSK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XP4RBYEU2W47WJYGL5R3XSQBSK","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":"5f136d1c0eebf9ff702fc4b4476fa489452f7978607792134ef5f1b37d4fc4ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-17T08:00:41Z","title_canon_sha256":"0f8d992e82fc5dac45011e240b2538989e2f24309dd4ccf953a592b8a9f4558f"},"schema_version":"1.0","source":{"id":"1811.07120","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.07120","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"arxiv_version","alias_value":"1811.07120v2","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.07120","created_at":"2026-05-17T23:44:37Z"},{"alias_kind":"pith_short_12","alias_value":"XP4RBYEU2W47","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XP4RBYEU2W47WJYG","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XP4RBYEU","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:0d0c114c1572c49dd2ece3d7b62b684ea43f8f9bd2517e4182aee9983fa72ceb","target":"graph","created_at":"2026-05-17T23:44:37Z","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":"Knowledge transfer, zero-shot learning and semantic image retrieval are methods that aim at improving accuracy by utilizing semantic information, e.g. from WordNet. It is assumed that this information can augment or replace missing visual data in the form of labeled training images because semantic similarity correlates with visual similarity. This assumption may seem trivial, but is crucial for the application of such semantic methods. Any violation can cause mispredictions. Thus, it is important to examine the visual-semantic relationship for a certain target problem. In this paper, we use f","authors_text":"Clemens-Alexander Brust, Joachim Denzler","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-17T08:00:41Z","title":"Not just a matter of semantics: the relationship between visual similarity and semantic similarity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.07120","kind":"arxiv","version":2},"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:a6e2241aaeaaa018cbac52a9d682c26b5a9f7b58affb07f370ea795dd68ed0ba","target":"record","created_at":"2026-05-17T23:44:37Z","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":"5f136d1c0eebf9ff702fc4b4476fa489452f7978607792134ef5f1b37d4fc4ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-17T08:00:41Z","title_canon_sha256":"0f8d992e82fc5dac45011e240b2538989e2f24309dd4ccf953a592b8a9f4558f"},"schema_version":"1.0","source":{"id":"1811.07120","kind":"arxiv","version":2}},"canonical_sha256":"bbf910e094d5b9fb27065f63bbca0192bbe97311d35d182c8e7ff5cb8dd663dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbf910e094d5b9fb27065f63bbca0192bbe97311d35d182c8e7ff5cb8dd663dd","first_computed_at":"2026-05-17T23:44:37.920828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:37.920828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Eme9oB+v9GYm2kutPHvs/wkkpR/ycB1js6ea97ImNfyF5Hzw1VZ2IU2fIsDhZRss0eAYRkhv0wugbsG0VGx5Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:37.921253Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.07120","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6e2241aaeaaa018cbac52a9d682c26b5a9f7b58affb07f370ea795dd68ed0ba","sha256:0d0c114c1572c49dd2ece3d7b62b684ea43f8f9bd2517e4182aee9983fa72ceb"],"state_sha256":"2a9f7034310578ee6746527449e5639bb4cc4faf4a17745bbce5d363312dc604"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ufVYWC/Mdn8yzLTs2v9NGWjNCkSg0fuixthdW0ABLQR573SeW9rrlaqdg9P3RvqIOLZboSYBgXX9PzlRk6R+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T04:01:38.289541Z","bundle_sha256":"38c273e6d1fe14c648f832b6670cf3e4237402a7f67db3eed11bcf7391522a0c"}}