{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5NLCNKGRYSVEPNWRACKH6E6HXH","short_pith_number":"pith:5NLCNKGR","canonical_record":{"source":{"id":"2207.05418","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T09:29:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"00c369833a86d4ce3752506505db0f2fc03d0c8383a1f93b744d832046293d85","abstract_canon_sha256":"5273ca44059f238332c5df3910f3756f8c82749e06fa97ee78daad225a300b94"},"schema_version":"1.0"},"canonical_sha256":"eb5626a8d1c4aa47b6d100947f13c7b9eef870e5f64d8d58a638ecec9443f795","source":{"kind":"arxiv","id":"2207.05418","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.05418","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"2207.05418v1","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.05418","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"5NLCNKGRYSVE","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_16","alias_value":"5NLCNKGRYSVEPNWR","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_8","alias_value":"5NLCNKGR","created_at":"2026-07-05T04:39:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5NLCNKGRYSVEPNWRACKH6E6HXH","target":"record","payload":{"canonical_record":{"source":{"id":"2207.05418","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T09:29:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"00c369833a86d4ce3752506505db0f2fc03d0c8383a1f93b744d832046293d85","abstract_canon_sha256":"5273ca44059f238332c5df3910f3756f8c82749e06fa97ee78daad225a300b94"},"schema_version":"1.0"},"canonical_sha256":"eb5626a8d1c4aa47b6d100947f13c7b9eef870e5f64d8d58a638ecec9443f795","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:39:42.368921Z","signature_b64":"5kk4+URJNzfRNfmbKOQB30afXIP9TxExm1D5/DspQqEtsHwa9Sm5+PkdlzvsoJZV6k2jEQfb17ym0Mf+fYjnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb5626a8d1c4aa47b6d100947f13c7b9eef870e5f64d8d58a638ecec9443f795","last_reissued_at":"2026-07-05T04:39:42.368511Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:39:42.368511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.05418","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":"2026-07-05T04:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WK3tdddi1IF8MY8fnEGLRnV1xRK0bEP3LjVGSTOeO00QmrGzM6/61bmFQNv2GPi1LQFABk09/zwFTFERCLedCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:55:48.142979Z"},"content_sha256":"ffbd5f83d9bf1c5cd2068208a38821bb05ec7940feaccec096c58e1cd7161953","schema_version":"1.0","event_id":"sha256:ffbd5f83d9bf1c5cd2068208a38821bb05ec7940feaccec096c58e1cd7161953"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5NLCNKGRYSVEPNWRACKH6E6HXH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Baseline for Detecting Out-of-Distribution Examples in Image Captioning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Gabi Shalev, Gal-Lev Shalev, Joseph Keshet","submitted_at":"2022-07-12T09:29:57Z","abstract_excerpt":"Image captioning research achieved breakthroughs in recent years by developing neural models that can generate diverse and high-quality descriptions for images drawn from the same distribution as training images. However, when facing out-of-distribution (OOD) images, such as corrupted images, or images containing unknown objects, the models fail in generating relevant captions.\n  In this paper, we consider the problem of OOD detection in image captioning. We formulate the problem and suggest an evaluation setup for assessing the model's performance on the task. Then, we analyze and show the ef"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05418","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.05418/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Hzd/i4WCU/yv2XyuDPixeun+C8Fu14Xw70IIP20VifNrkEohyUv/SX15uO4Mu+4ewsE2kYMJZqVU4TwlOW7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:55:48.143478Z"},"content_sha256":"5caa8ecf67d9da739c1501610fa9888b191c71bab190a479fce26875394b94b9","schema_version":"1.0","event_id":"sha256:5caa8ecf67d9da739c1501610fa9888b191c71bab190a479fce26875394b94b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/bundle.json","state_url":"https://pith.science/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/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":"2026-08-22T04:55:48Z","links":{"resolver":"https://pith.science/pith/5NLCNKGRYSVEPNWRACKH6E6HXH","bundle":"https://pith.science/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/bundle.json","state":"https://pith.science/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5NLCNKGRYSVEPNWRACKH6E6HXH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5NLCNKGRYSVEPNWRACKH6E6HXH","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":"5273ca44059f238332c5df3910f3756f8c82749e06fa97ee78daad225a300b94","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T09:29:57Z","title_canon_sha256":"00c369833a86d4ce3752506505db0f2fc03d0c8383a1f93b744d832046293d85"},"schema_version":"1.0","source":{"id":"2207.05418","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.05418","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"2207.05418v1","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.05418","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"5NLCNKGRYSVE","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_16","alias_value":"5NLCNKGRYSVEPNWR","created_at":"2026-07-05T04:39:42Z"},{"alias_kind":"pith_short_8","alias_value":"5NLCNKGR","created_at":"2026-07-05T04:39:42Z"}],"graph_snapshots":[{"event_id":"sha256:5caa8ecf67d9da739c1501610fa9888b191c71bab190a479fce26875394b94b9","target":"graph","created_at":"2026-07-05T04:39:42Z","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/2207.05418/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image captioning research achieved breakthroughs in recent years by developing neural models that can generate diverse and high-quality descriptions for images drawn from the same distribution as training images. However, when facing out-of-distribution (OOD) images, such as corrupted images, or images containing unknown objects, the models fail in generating relevant captions.\n  In this paper, we consider the problem of OOD detection in image captioning. We formulate the problem and suggest an evaluation setup for assessing the model's performance on the task. Then, we analyze and show the ef","authors_text":"Gabi Shalev, Gal-Lev Shalev, Joseph Keshet","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T09:29:57Z","title":"A Baseline for Detecting Out-of-Distribution Examples in Image Captioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05418","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:ffbd5f83d9bf1c5cd2068208a38821bb05ec7940feaccec096c58e1cd7161953","target":"record","created_at":"2026-07-05T04:39:42Z","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":"5273ca44059f238332c5df3910f3756f8c82749e06fa97ee78daad225a300b94","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T09:29:57Z","title_canon_sha256":"00c369833a86d4ce3752506505db0f2fc03d0c8383a1f93b744d832046293d85"},"schema_version":"1.0","source":{"id":"2207.05418","kind":"arxiv","version":1}},"canonical_sha256":"eb5626a8d1c4aa47b6d100947f13c7b9eef870e5f64d8d58a638ecec9443f795","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb5626a8d1c4aa47b6d100947f13c7b9eef870e5f64d8d58a638ecec9443f795","first_computed_at":"2026-07-05T04:39:42.368511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:39:42.368511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5kk4+URJNzfRNfmbKOQB30afXIP9TxExm1D5/DspQqEtsHwa9Sm5+PkdlzvsoJZV6k2jEQfb17ym0Mf+fYjnCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:39:42.368921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.05418","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffbd5f83d9bf1c5cd2068208a38821bb05ec7940feaccec096c58e1cd7161953","sha256:5caa8ecf67d9da739c1501610fa9888b191c71bab190a479fce26875394b94b9"],"state_sha256":"27199050a61071bda66844a0ccb1dcd7ab7cbc6a31879a733e3b08f7c8ef9261"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rd62y6U0ZNbMtI3Z4OPzH+o7Jv+/RpdFuKs8+z1LsGcyBI3ZJNe7XQMYmUJugJbcu9LqD+H5AGh9eOPWvPNOCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T04:55:48.148010Z","bundle_sha256":"8839baa79b9994ff084678976f3b6ec5202c12ebbf7847df0eb82d6d7e3481ea"}}