{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6AZHIFWOWV6FJLK4PFJ2CBXOEV","short_pith_number":"pith:6AZHIFWO","canonical_record":{"source":{"id":"1706.08474","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-26T16:45:57Z","cross_cats_sorted":[],"title_canon_sha256":"1ef80a46648e78d9261bbdddf75058172087045ce64cb1eafc87774329a1fd9d","abstract_canon_sha256":"68d9119086aacd5d8d7e9db457c863b06ecae043969345f49da8c052103cbbcc"},"schema_version":"1.0"},"canonical_sha256":"f0327416ceb57c54ad5c7953a106ee256358e4c9abc155c8193f3fe4ad8474bc","source":{"kind":"arxiv","id":"1706.08474","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.08474","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"arxiv_version","alias_value":"1706.08474v4","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.08474","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"pith_short_12","alias_value":"6AZHIFWOWV6F","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6AZHIFWOWV6FJLK4","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6AZHIFWO","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6AZHIFWOWV6FJLK4PFJ2CBXOEV","target":"record","payload":{"canonical_record":{"source":{"id":"1706.08474","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-26T16:45:57Z","cross_cats_sorted":[],"title_canon_sha256":"1ef80a46648e78d9261bbdddf75058172087045ce64cb1eafc87774329a1fd9d","abstract_canon_sha256":"68d9119086aacd5d8d7e9db457c863b06ecae043969345f49da8c052103cbbcc"},"schema_version":"1.0"},"canonical_sha256":"f0327416ceb57c54ad5c7953a106ee256358e4c9abc155c8193f3fe4ad8474bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:37.566331Z","signature_b64":"N5ebqUisKtPHa0RaO4ET7i0iG1PL43nelPXbZgnEpHAPKUjf/6VEACcdd2MWG23X6CJBTer0incr1Z9NVhZqDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0327416ceb57c54ad5c7953a106ee256358e4c9abc155c8193f3fe4ad8474bc","last_reissued_at":"2026-05-18T00:15:37.565772Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:37.565772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.08474","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:15:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rWzv4c0ED8zNLrLgSPLoNQ7EZTsMWOGKYRrrhcCzVHjNZ2nhiMQe1Cyhedk2/JKiwTG8KySpfDmYQuK7SY0zDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T17:02:19.396905Z"},"content_sha256":"5275e4d6870fc6088e3cd2987c248e6157f5e3519f0fad9c362270d6e610defa","schema_version":"1.0","event_id":"sha256:5275e4d6870fc6088e3cd2987c248e6157f5e3519f0fad9c362270d6e610defa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6AZHIFWOWV6FJLK4PFJ2CBXOEV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Giuseppe Serra, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara","submitted_at":"2017-06-26T16:45:57Z","abstract_excerpt":"Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Networks to extract image representations, and Recurrent Neural Networks to generate the corresponding captions. At the same time, a significant research effort has been dedicated to the development of saliency prediction models, which can predict human eye fixations. Even though saliency information could be useful to condition an image captioning architecture, by providing an indication of what is salient and what is no"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.08474","kind":"arxiv","version":4},"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":"2026-05-18T00:15:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cqLEmBFjNEuMSpFxzqri1S3j2oICsxOLbNLgAnGeHEvHwtKcCW7dr+vL2h1WZMeccJQKfs1Rkcu46HMsef8HAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T17:02:19.397251Z"},"content_sha256":"592cf3bf4ade760f9595c0db9d5e02fa3219958c5182394eb538d901146fdd3e","schema_version":"1.0","event_id":"sha256:592cf3bf4ade760f9595c0db9d5e02fa3219958c5182394eb538d901146fdd3e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/bundle.json","state_url":"https://pith.science/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/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":"2026-06-04T17:02:19Z","links":{"resolver":"https://pith.science/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV","bundle":"https://pith.science/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/bundle.json","state":"https://pith.science/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6AZHIFWOWV6FJLK4PFJ2CBXOEV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6AZHIFWOWV6FJLK4PFJ2CBXOEV","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":"68d9119086aacd5d8d7e9db457c863b06ecae043969345f49da8c052103cbbcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-26T16:45:57Z","title_canon_sha256":"1ef80a46648e78d9261bbdddf75058172087045ce64cb1eafc87774329a1fd9d"},"schema_version":"1.0","source":{"id":"1706.08474","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.08474","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"arxiv_version","alias_value":"1706.08474v4","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.08474","created_at":"2026-05-18T00:15:37Z"},{"alias_kind":"pith_short_12","alias_value":"6AZHIFWOWV6F","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6AZHIFWOWV6FJLK4","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6AZHIFWO","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:592cf3bf4ade760f9595c0db9d5e02fa3219958c5182394eb538d901146fdd3e","target":"graph","created_at":"2026-05-18T00:15:37Z","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":"Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Networks to extract image representations, and Recurrent Neural Networks to generate the corresponding captions. At the same time, a significant research effort has been dedicated to the development of saliency prediction models, which can predict human eye fixations. Even though saliency information could be useful to condition an image captioning architecture, by providing an indication of what is salient and what is no","authors_text":"Giuseppe Serra, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-26T16:45:57Z","title":"Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.08474","kind":"arxiv","version":4},"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":"sha256:5275e4d6870fc6088e3cd2987c248e6157f5e3519f0fad9c362270d6e610defa","target":"record","created_at":"2026-05-18T00:15:37Z","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":"68d9119086aacd5d8d7e9db457c863b06ecae043969345f49da8c052103cbbcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-26T16:45:57Z","title_canon_sha256":"1ef80a46648e78d9261bbdddf75058172087045ce64cb1eafc87774329a1fd9d"},"schema_version":"1.0","source":{"id":"1706.08474","kind":"arxiv","version":4}},"canonical_sha256":"f0327416ceb57c54ad5c7953a106ee256358e4c9abc155c8193f3fe4ad8474bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0327416ceb57c54ad5c7953a106ee256358e4c9abc155c8193f3fe4ad8474bc","first_computed_at":"2026-05-18T00:15:37.565772Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:37.565772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N5ebqUisKtPHa0RaO4ET7i0iG1PL43nelPXbZgnEpHAPKUjf/6VEACcdd2MWG23X6CJBTer0incr1Z9NVhZqDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:37.566331Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.08474","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5275e4d6870fc6088e3cd2987c248e6157f5e3519f0fad9c362270d6e610defa","sha256:592cf3bf4ade760f9595c0db9d5e02fa3219958c5182394eb538d901146fdd3e"],"state_sha256":"dc5cffff1dbc09e51b75c97092e12139a74599d688814ea14b1f774f04f6b498"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3L6JlPfKia9YzryZnELxjMvoX3cEJWyEk1OjtX3Wm/nUNO2zLKL+tTNImKyHAIJ0H+NfJ+5YMWVe1d/d8RTWAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T17:02:19.399150Z","bundle_sha256":"05e52520be655a4eecbfc988de27f9cdf4d0ca0dcb9a031e8ca7b0eda3fa98a8"}}