{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:OWVQ4KXYCXPSJPT34V3XHZHNKS","short_pith_number":"pith:OWVQ4KXY","canonical_record":{"source":{"id":"1904.00766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-17T13:20:01Z","cross_cats_sorted":[],"title_canon_sha256":"f1100b8c6d79df561fbb172add270ef434be59ceeea76869babb3015332efd19","abstract_canon_sha256":"fdbb86eb9e6f806a5d20388cd6d035ef263d9e9492d8f1074d8c5ac1f61b5b07"},"schema_version":"1.0"},"canonical_sha256":"75ab0e2af815df24be7be57773e4ed549b788cab910e9fa631c29af5e548b732","source":{"kind":"arxiv","id":"1904.00766","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00766","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00766v1","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00766","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"pith_short_12","alias_value":"OWVQ4KXYCXPS","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OWVQ4KXYCXPSJPT3","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OWVQ4KXY","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:OWVQ4KXYCXPSJPT34V3XHZHNKS","target":"record","payload":{"canonical_record":{"source":{"id":"1904.00766","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-17T13:20:01Z","cross_cats_sorted":[],"title_canon_sha256":"f1100b8c6d79df561fbb172add270ef434be59ceeea76869babb3015332efd19","abstract_canon_sha256":"fdbb86eb9e6f806a5d20388cd6d035ef263d9e9492d8f1074d8c5ac1f61b5b07"},"schema_version":"1.0"},"canonical_sha256":"75ab0e2af815df24be7be57773e4ed549b788cab910e9fa631c29af5e548b732","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:45.522226Z","signature_b64":"SKvqj2yBmXCwFGac91Fn2XGkHZeA9QoACpfLr0ulE9xVdKiDzF49wHu7vobMpd4WqsE6JEIFD779cePaoCGTAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75ab0e2af815df24be7be57773e4ed549b788cab910e9fa631c29af5e548b732","last_reissued_at":"2026-05-17T23:49:45.521391Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:45.521391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.00766","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":"2026-05-17T23:49:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YloIQnKhp/xdx4zJiwyOB6pIvTkPTtkvF3VoVKGhvJLi57/euYzwT0TpFMtJoeURyXsfzh/EZ/+7XYzVc23fBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T10:08:17.849869Z"},"content_sha256":"8e0366e69171368ae8b38ca605b59dd9c1903a5058c14b6ede3a7ed65b81796e","schema_version":"1.0","event_id":"sha256:8e0366e69171368ae8b38ca605b59dd9c1903a5058c14b6ede3a7ed65b81796e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:OWVQ4KXYCXPSJPT34V3XHZHNKS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Weighted Multi-Criteria Decision Making Approach for Image Captioning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hassan Maleki Galandouz, Mehrnoush Shamsfard, Mohsen Ebrahimi Moghaddam","submitted_at":"2019-03-17T13:20:01Z","abstract_excerpt":"Image captioning aims at automatically generating descriptions of an image in natural language. This is a challenging problem in the field of artificial intelligence that has recently received significant attention in the computer vision and natural language processing. Among the existing approaches, visual retrieval based methods have been proven to be highly effective. These approaches search for similar images, then build a caption for the query image based on the captions of the retrieved images. In this study, we present a method for visual retrieval based image captioning, in which we us"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00766","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":"2026-05-17T23:49:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NvNbUs6VtttofricwpZiBYHZ/naqghwK8HNO0JiekJ+C7XZmWRUp5PwUv+D4CeD7v9n/YaxUvwC+kAZJ42LvCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T10:08:17.850219Z"},"content_sha256":"f6c3022a68982d0944d022a1caddb937544b081c60a21b9f1d32e006ec53a0fe","schema_version":"1.0","event_id":"sha256:f6c3022a68982d0944d022a1caddb937544b081c60a21b9f1d32e006ec53a0fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/bundle.json","state_url":"https://pith.science/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/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":"2026-06-01T10:08:17Z","links":{"resolver":"https://pith.science/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS","bundle":"https://pith.science/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/bundle.json","state":"https://pith.science/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OWVQ4KXYCXPSJPT34V3XHZHNKS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OWVQ4KXYCXPSJPT34V3XHZHNKS","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":"fdbb86eb9e6f806a5d20388cd6d035ef263d9e9492d8f1074d8c5ac1f61b5b07","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-17T13:20:01Z","title_canon_sha256":"f1100b8c6d79df561fbb172add270ef434be59ceeea76869babb3015332efd19"},"schema_version":"1.0","source":{"id":"1904.00766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00766","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00766v1","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00766","created_at":"2026-05-17T23:49:45Z"},{"alias_kind":"pith_short_12","alias_value":"OWVQ4KXYCXPS","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"OWVQ4KXYCXPSJPT3","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"OWVQ4KXY","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:f6c3022a68982d0944d022a1caddb937544b081c60a21b9f1d32e006ec53a0fe","target":"graph","created_at":"2026-05-17T23:49:45Z","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":"Image captioning aims at automatically generating descriptions of an image in natural language. This is a challenging problem in the field of artificial intelligence that has recently received significant attention in the computer vision and natural language processing. Among the existing approaches, visual retrieval based methods have been proven to be highly effective. These approaches search for similar images, then build a caption for the query image based on the captions of the retrieved images. In this study, we present a method for visual retrieval based image captioning, in which we us","authors_text":"Hassan Maleki Galandouz, Mehrnoush Shamsfard, Mohsen Ebrahimi Moghaddam","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-17T13:20:01Z","title":"A Weighted Multi-Criteria Decision Making Approach for Image Captioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00766","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":"sha256:8e0366e69171368ae8b38ca605b59dd9c1903a5058c14b6ede3a7ed65b81796e","target":"record","created_at":"2026-05-17T23:49:45Z","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":"fdbb86eb9e6f806a5d20388cd6d035ef263d9e9492d8f1074d8c5ac1f61b5b07","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-17T13:20:01Z","title_canon_sha256":"f1100b8c6d79df561fbb172add270ef434be59ceeea76869babb3015332efd19"},"schema_version":"1.0","source":{"id":"1904.00766","kind":"arxiv","version":1}},"canonical_sha256":"75ab0e2af815df24be7be57773e4ed549b788cab910e9fa631c29af5e548b732","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75ab0e2af815df24be7be57773e4ed549b788cab910e9fa631c29af5e548b732","first_computed_at":"2026-05-17T23:49:45.521391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:45.521391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SKvqj2yBmXCwFGac91Fn2XGkHZeA9QoACpfLr0ulE9xVdKiDzF49wHu7vobMpd4WqsE6JEIFD779cePaoCGTAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:45.522226Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.00766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e0366e69171368ae8b38ca605b59dd9c1903a5058c14b6ede3a7ed65b81796e","sha256:f6c3022a68982d0944d022a1caddb937544b081c60a21b9f1d32e006ec53a0fe"],"state_sha256":"1d34050ff06a42b7aaadc83d6ba3e5691db1f389dff6ea6106e3a1e9be290345"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qRk+Gnh6sQ9WJE7g9LH9UBOak4S3+5CRpozy+pRt0VNvJS1GaKR6eZ2G3V+sRWghxIsc2ZltMwg2q9ET+PBpDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T10:08:17.852192Z","bundle_sha256":"7b2bb4d4838f849a59dcd4b613d5905ed359d261a9585847bed6cd7e5b9d7166"}}