{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:Z35KNMBBX5YTEMBBTEQXHI2N3R","short_pith_number":"pith:Z35KNMBB","canonical_record":{"source":{"id":"1908.02923","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T04:07:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"8aee0e493e4acb361ad49395db36812071db489237eb07b38df8ade61c98bebb","abstract_canon_sha256":"461afc7f89f98c991fe9bd3950079697199f2173b3fafd249c993f6708399c2f"},"schema_version":"1.0"},"canonical_sha256":"cefaa6b021bf71323021992173a34ddc5d1168cf82269b3a14418a582c1a26b1","source":{"kind":"arxiv","id":"1908.02923","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.02923","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"arxiv_version","alias_value":"1908.02923v3","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02923","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_12","alias_value":"Z35KNMBBX5YT","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_16","alias_value":"Z35KNMBBX5YTEMBB","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_8","alias_value":"Z35KNMBB","created_at":"2026-07-05T00:55:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:Z35KNMBBX5YTEMBBTEQXHI2N3R","target":"record","payload":{"canonical_record":{"source":{"id":"1908.02923","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T04:07:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"8aee0e493e4acb361ad49395db36812071db489237eb07b38df8ade61c98bebb","abstract_canon_sha256":"461afc7f89f98c991fe9bd3950079697199f2173b3fafd249c993f6708399c2f"},"schema_version":"1.0"},"canonical_sha256":"cefaa6b021bf71323021992173a34ddc5d1168cf82269b3a14418a582c1a26b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:55:17.717570Z","signature_b64":"oPTTzGyXnn0SUhVJ69H5MmEb6jZTxWP61thALV/JXcR++DWrpqC4EVG5ws+2ok9+zirPD4YVvTv36ao/GZ8EAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cefaa6b021bf71323021992173a34ddc5d1168cf82269b3a14418a582c1a26b1","last_reissued_at":"2026-07-05T00:55:17.717104Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:55:17.717104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.02923","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:55:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yNBAlDzZLcMFIPXwLYddaQglye2zVmp0KTuSgSQFWJTEln1ear/sb97tYGNE/lkrop/IiSgl8hjD+cdajCJPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:10:25.856906Z"},"content_sha256":"f2927e34fc47925541db81f25c45beb0f48fb70e83f0dbae8d8b10f80bcc36c0","schema_version":"1.0","event_id":"sha256:f2927e34fc47925541db81f25c45beb0f48fb70e83f0dbae8d8b10f80bcc36c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:Z35KNMBBX5YTEMBBTEQXHI2N3R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Captioning using Facial Expression and Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Cecile Paris, Mark Dras, Omid Mohamad Nezami, Stephen Wan","submitted_at":"2019-08-08T04:07:39Z","abstract_excerpt":"Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual descriptions. For the most part, these descriptions represent an objective characterisation of the image, although some models do incorporate subjective aspects related to the observer's view of the image, such as sentiment; current models, however, usually do not consider the emotional content of images during the caption generation process. This paper addresses this issue by proposing novel image captioning models which use facial expres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02923","kind":"arxiv","version":3},"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/1908.02923/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":"2026-07-05T00:55:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YCSvDBp1PC5UKfkiY1l3ci9yOx6dtgDVdoPMqwK2ouC6flfBOIcbmpdgeZr+TFYcMSlRwMkIh2oX2TiqY4g0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:10:25.857588Z"},"content_sha256":"2ce962978bdd6d3d08284489529522de007ebe0f4199f874eab477f4393c43aa","schema_version":"1.0","event_id":"sha256:2ce962978bdd6d3d08284489529522de007ebe0f4199f874eab477f4393c43aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/bundle.json","state_url":"https://pith.science/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/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":"2026-08-17T14:10:25Z","links":{"resolver":"https://pith.science/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R","bundle":"https://pith.science/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/bundle.json","state":"https://pith.science/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z35KNMBBX5YTEMBBTEQXHI2N3R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Z35KNMBBX5YTEMBBTEQXHI2N3R","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":"461afc7f89f98c991fe9bd3950079697199f2173b3fafd249c993f6708399c2f","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T04:07:39Z","title_canon_sha256":"8aee0e493e4acb361ad49395db36812071db489237eb07b38df8ade61c98bebb"},"schema_version":"1.0","source":{"id":"1908.02923","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.02923","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"arxiv_version","alias_value":"1908.02923v3","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02923","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_12","alias_value":"Z35KNMBBX5YT","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_16","alias_value":"Z35KNMBBX5YTEMBB","created_at":"2026-07-05T00:55:17Z"},{"alias_kind":"pith_short_8","alias_value":"Z35KNMBB","created_at":"2026-07-05T00:55:17Z"}],"graph_snapshots":[{"event_id":"sha256:2ce962978bdd6d3d08284489529522de007ebe0f4199f874eab477f4393c43aa","target":"graph","created_at":"2026-07-05T00:55:17Z","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/1908.02923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual descriptions. For the most part, these descriptions represent an objective characterisation of the image, although some models do incorporate subjective aspects related to the observer's view of the image, such as sentiment; current models, however, usually do not consider the emotional content of images during the caption generation process. This paper addresses this issue by proposing novel image captioning models which use facial expres","authors_text":"Cecile Paris, Mark Dras, Omid Mohamad Nezami, Stephen Wan","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T04:07:39Z","title":"Image Captioning using Facial Expression and Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02923","kind":"arxiv","version":3},"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:f2927e34fc47925541db81f25c45beb0f48fb70e83f0dbae8d8b10f80bcc36c0","target":"record","created_at":"2026-07-05T00:55:17Z","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":"461afc7f89f98c991fe9bd3950079697199f2173b3fafd249c993f6708399c2f","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-08T04:07:39Z","title_canon_sha256":"8aee0e493e4acb361ad49395db36812071db489237eb07b38df8ade61c98bebb"},"schema_version":"1.0","source":{"id":"1908.02923","kind":"arxiv","version":3}},"canonical_sha256":"cefaa6b021bf71323021992173a34ddc5d1168cf82269b3a14418a582c1a26b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cefaa6b021bf71323021992173a34ddc5d1168cf82269b3a14418a582c1a26b1","first_computed_at":"2026-07-05T00:55:17.717104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:55:17.717104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oPTTzGyXnn0SUhVJ69H5MmEb6jZTxWP61thALV/JXcR++DWrpqC4EVG5ws+2ok9+zirPD4YVvTv36ao/GZ8EAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:55:17.717570Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.02923","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2927e34fc47925541db81f25c45beb0f48fb70e83f0dbae8d8b10f80bcc36c0","sha256:2ce962978bdd6d3d08284489529522de007ebe0f4199f874eab477f4393c43aa"],"state_sha256":"363897610b6d20aa744ccc78033bd030dd4fc86adc02d1cb9355f9fe04e50e2d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eBNFi6yEhA+CIOmnBqnbN9Ufq+aOtkzP/pu+ODMcGakJKs0ElOqjmMf0DVtOPXGHbPb6AUUR5W90tz+GtOtJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:10:25.861170Z","bundle_sha256":"98d59ba6f8a0cf53789a9dfb782f301027081a3d6c4fef490f29e9337ef07c96"}}