{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:TVPTA2L42QVO4HCZSSCF5NACTD","short_pith_number":"pith:TVPTA2L4","canonical_record":{"source":{"id":"1506.03995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-12T11:51:16Z","cross_cats_sorted":[],"title_canon_sha256":"7e596c66aa2eb6d9ba83c7d8eb2fbc4c9ac001917a6fbe89ee846202e51fe70b","abstract_canon_sha256":"d72e173a7f9123e00ca490950291485c615207ff4c1fd6adca0583d52b4368bf"},"schema_version":"1.0"},"canonical_sha256":"9d5f30697cd42aee1c5994845eb40298df26ac6856d567c2edc59f9f5ce3a875","source":{"kind":"arxiv","id":"1506.03995","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.03995","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"arxiv_version","alias_value":"1506.03995v1","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.03995","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"pith_short_12","alias_value":"TVPTA2L42QVO","created_at":"2026-05-18T12:29:42Z"},{"alias_kind":"pith_short_16","alias_value":"TVPTA2L42QVO4HCZ","created_at":"2026-05-18T12:29:42Z"},{"alias_kind":"pith_short_8","alias_value":"TVPTA2L4","created_at":"2026-05-18T12:29:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:TVPTA2L42QVO4HCZSSCF5NACTD","target":"record","payload":{"canonical_record":{"source":{"id":"1506.03995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-12T11:51:16Z","cross_cats_sorted":[],"title_canon_sha256":"7e596c66aa2eb6d9ba83c7d8eb2fbc4c9ac001917a6fbe89ee846202e51fe70b","abstract_canon_sha256":"d72e173a7f9123e00ca490950291485c615207ff4c1fd6adca0583d52b4368bf"},"schema_version":"1.0"},"canonical_sha256":"9d5f30697cd42aee1c5994845eb40298df26ac6856d567c2edc59f9f5ce3a875","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:51:18.593524Z","signature_b64":"4dKo06WTAqukQOB4rlehd+EJMmCcTADcIKl7aqikScHCb3ZXZ7mhp/gMxBGWW9I9CN0U8qHRbCMxYaz2fqGNBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d5f30697cd42aee1c5994845eb40298df26ac6856d567c2edc59f9f5ce3a875","last_reissued_at":"2026-05-18T01:51:18.592848Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:51:18.592848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1506.03995","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":"2026-05-18T01:51:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/zEnZTVOJ9cQP5jj5mdd0W7mzqkBJdBsipOL8VmpRFTsrRHT8DttawwM9Irq2AavXxNN3nYrc4Rki73fD6aYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T02:44:32.617575Z"},"content_sha256":"d50d48b4d8dbbe43b3c6782c8722f85644d78f1f892e6b5899a637573256d0a8","schema_version":"1.0","event_id":"sha256:d50d48b4d8dbbe43b3c6782c8722f85644d78f1f892e6b5899a637573256d0a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:TVPTA2L42QVO4HCZSSCF5NACTD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Technical Report: Image Captioning with Semantically Similar Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Martin Kol\\'a\\v{r}, Michal Hradi\\v{s}, Pavel Zem\\v{c}\\'ik","submitted_at":"2015-06-12T11:51:16Z","abstract_excerpt":"This report presents our submission to the MS COCO Captioning Challenge 2015. The method uses Convolutional Neural Network activations as an embedding to find semantically similar images. From these images, the most typical caption is selected based on unigram frequencies. Although the method received low scores with automated evaluation metrics and in human assessed average correctness, it is competitive in the ratio of captions which pass the Turing test and which are assessed as better or equal to human captions."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.03995","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":"2026-05-18T01:51:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ES9XSZ18UaKPGOvwuOjoepvSvyXlY6UE/BhDfEZrR5MxZEAUDzq6qy87Itt8Tf/o/T62WteshrsdNLya371dAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T02:44:32.617920Z"},"content_sha256":"6877e823260358cf758e53d7902c4a34dba52e5265f1b8afe7781b3ab196b3fc","schema_version":"1.0","event_id":"sha256:6877e823260358cf758e53d7902c4a34dba52e5265f1b8afe7781b3ab196b3fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TVPTA2L42QVO4HCZSSCF5NACTD/bundle.json","state_url":"https://pith.science/pith/TVPTA2L42QVO4HCZSSCF5NACTD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TVPTA2L42QVO4HCZSSCF5NACTD/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":"2026-06-30T02:44:32Z","links":{"resolver":"https://pith.science/pith/TVPTA2L42QVO4HCZSSCF5NACTD","bundle":"https://pith.science/pith/TVPTA2L42QVO4HCZSSCF5NACTD/bundle.json","state":"https://pith.science/pith/TVPTA2L42QVO4HCZSSCF5NACTD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TVPTA2L42QVO4HCZSSCF5NACTD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:TVPTA2L42QVO4HCZSSCF5NACTD","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":"d72e173a7f9123e00ca490950291485c615207ff4c1fd6adca0583d52b4368bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-12T11:51:16Z","title_canon_sha256":"7e596c66aa2eb6d9ba83c7d8eb2fbc4c9ac001917a6fbe89ee846202e51fe70b"},"schema_version":"1.0","source":{"id":"1506.03995","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.03995","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"arxiv_version","alias_value":"1506.03995v1","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.03995","created_at":"2026-05-18T01:51:18Z"},{"alias_kind":"pith_short_12","alias_value":"TVPTA2L42QVO","created_at":"2026-05-18T12:29:42Z"},{"alias_kind":"pith_short_16","alias_value":"TVPTA2L42QVO4HCZ","created_at":"2026-05-18T12:29:42Z"},{"alias_kind":"pith_short_8","alias_value":"TVPTA2L4","created_at":"2026-05-18T12:29:42Z"}],"graph_snapshots":[{"event_id":"sha256:6877e823260358cf758e53d7902c4a34dba52e5265f1b8afe7781b3ab196b3fc","target":"graph","created_at":"2026-05-18T01:51:18Z","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":"This report presents our submission to the MS COCO Captioning Challenge 2015. The method uses Convolutional Neural Network activations as an embedding to find semantically similar images. From these images, the most typical caption is selected based on unigram frequencies. Although the method received low scores with automated evaluation metrics and in human assessed average correctness, it is competitive in the ratio of captions which pass the Turing test and which are assessed as better or equal to human captions.","authors_text":"Martin Kol\\'a\\v{r}, Michal Hradi\\v{s}, Pavel Zem\\v{c}\\'ik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-12T11:51:16Z","title":"Technical Report: Image Captioning with Semantically Similar Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.03995","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:d50d48b4d8dbbe43b3c6782c8722f85644d78f1f892e6b5899a637573256d0a8","target":"record","created_at":"2026-05-18T01:51:18Z","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":"d72e173a7f9123e00ca490950291485c615207ff4c1fd6adca0583d52b4368bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-06-12T11:51:16Z","title_canon_sha256":"7e596c66aa2eb6d9ba83c7d8eb2fbc4c9ac001917a6fbe89ee846202e51fe70b"},"schema_version":"1.0","source":{"id":"1506.03995","kind":"arxiv","version":1}},"canonical_sha256":"9d5f30697cd42aee1c5994845eb40298df26ac6856d567c2edc59f9f5ce3a875","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d5f30697cd42aee1c5994845eb40298df26ac6856d567c2edc59f9f5ce3a875","first_computed_at":"2026-05-18T01:51:18.592848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:51:18.592848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4dKo06WTAqukQOB4rlehd+EJMmCcTADcIKl7aqikScHCb3ZXZ7mhp/gMxBGWW9I9CN0U8qHRbCMxYaz2fqGNBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:51:18.593524Z","signed_message":"canonical_sha256_bytes"},"source_id":"1506.03995","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d50d48b4d8dbbe43b3c6782c8722f85644d78f1f892e6b5899a637573256d0a8","sha256:6877e823260358cf758e53d7902c4a34dba52e5265f1b8afe7781b3ab196b3fc"],"state_sha256":"d7395b2ffca9ec53e785748a19b553b45f40b7f32ee5d5c5cde28b94f7381c5e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8T/qDAophHzDurZlTKzUxUGW8MTEMTYHo2uYbhZxELp/ZVgUJe5RinBgrJRgaOKKHTHv69ROHrmLWY9R6DSeAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T02:44:32.620296Z","bundle_sha256":"e39e13f856e4612b15adccfd06e80f478a090353185f1b2391998e6a26865e0b"}}