{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PYWU43GQUBQERVHALBHS5VGVVH","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":"642bcd3c1542916966f40a67247d07223c1db254338b2e2f1c4af25c0f491446","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-09T03:49:14Z","title_canon_sha256":"478d4bee7149537b8f318372b90aad012b3be17e16295f80cb27ed5b86fb1225"},"schema_version":"1.0","source":{"id":"2105.03826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.03826","created_at":"2026-07-05T02:38:39Z"},{"alias_kind":"arxiv_version","alias_value":"2105.03826v1","created_at":"2026-07-05T02:38:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.03826","created_at":"2026-07-05T02:38:39Z"},{"alias_kind":"pith_short_12","alias_value":"PYWU43GQUBQE","created_at":"2026-07-05T02:38:39Z"},{"alias_kind":"pith_short_16","alias_value":"PYWU43GQUBQERVHA","created_at":"2026-07-05T02:38:39Z"},{"alias_kind":"pith_short_8","alias_value":"PYWU43GQ","created_at":"2026-07-05T02:38:39Z"}],"graph_snapshots":[{"event_id":"sha256:9733815108d0851364643170d802696bcf00c70402b955be533ae3806478c04b","target":"graph","created_at":"2026-07-05T02:38:39Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2105.03826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A hybrid model is proposed that integrates two popular image captioning methods to generate a text-based summary describing the contents of the image. The two image captioning models are the Neural Image Caption (NIC) and the k-nearest neighbor approach. These are trained individually on the training set. We extract a set of five features, from the validation set, for evaluating the results of the two models that in turn is used to train a logistic regression classifier. The BLEU-4 scores of the two models are compared for generating the binary-value ground truth for the logistic regression cl","authors_text":"Ajul Raj, Arun Goel, Kartik Arora, Seba Susan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-09T03:49:14Z","title":"A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.03826","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:e32381ba3070c92e2c422f22f5fd55ee1e7b5bf750800dfc5001cf348d206bfa","target":"record","created_at":"2026-07-05T02:38:39Z","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":"642bcd3c1542916966f40a67247d07223c1db254338b2e2f1c4af25c0f491446","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-09T03:49:14Z","title_canon_sha256":"478d4bee7149537b8f318372b90aad012b3be17e16295f80cb27ed5b86fb1225"},"schema_version":"1.0","source":{"id":"2105.03826","kind":"arxiv","version":1}},"canonical_sha256":"7e2d4e6cd0a06048d4e0584f2ed4d5a9ec3e31aa1d256deea4c4f673d2ce4c20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e2d4e6cd0a06048d4e0584f2ed4d5a9ec3e31aa1d256deea4c4f673d2ce4c20","first_computed_at":"2026-07-05T02:38:39.259484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:38:39.259484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5oS9vnU8aeQTt4bukdfjjbNcRfGn+zWami2ElFZUV8RR9g7oBnGVXIcoub57c43dYSd1elpz/KMQxTkQCSf9BA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:38:39.259958Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.03826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e32381ba3070c92e2c422f22f5fd55ee1e7b5bf750800dfc5001cf348d206bfa","sha256:9733815108d0851364643170d802696bcf00c70402b955be533ae3806478c04b"],"state_sha256":"3b9e296ce5dcc1e56d96ed22a45bbab206642555ac6a367d887631dcb81430d1"}