{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:KCQGURLMGSULIB72AX32AH7QXN","short_pith_number":"pith:KCQGURLM","canonical_record":{"source":{"id":"1611.04636","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-14T22:02:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"befa511b617fea80bd23db78653f5331a449ab639f434281c55b7608414cd145","abstract_canon_sha256":"21de112a0c46b104dd115ea0a1476b7a9c7a34588c766202d7059154e54dde5e"},"schema_version":"1.0"},"canonical_sha256":"50a06a456c34a8b407fa05f7a01ff0bb4226986ea0ee6ff812caa17979a0794c","source":{"kind":"arxiv","id":"1611.04636","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.04636","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"arxiv_version","alias_value":"1611.04636v1","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.04636","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"pith_short_12","alias_value":"KCQGURLMGSUL","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"KCQGURLMGSULIB72","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"KCQGURLM","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:KCQGURLMGSULIB72AX32AH7QXN","target":"record","payload":{"canonical_record":{"source":{"id":"1611.04636","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-14T22:02:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"befa511b617fea80bd23db78653f5331a449ab639f434281c55b7608414cd145","abstract_canon_sha256":"21de112a0c46b104dd115ea0a1476b7a9c7a34588c766202d7059154e54dde5e"},"schema_version":"1.0"},"canonical_sha256":"50a06a456c34a8b407fa05f7a01ff0bb4226986ea0ee6ff812caa17979a0794c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:50.384154Z","signature_b64":"IrzKFErkloXOohV0jrj27jPTphIVCxkGBilnFsG+Mo+BFYCVXRdNpe5BkloZxjCOQDgobzlygUwdyUMi+YmaBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50a06a456c34a8b407fa05f7a01ff0bb4226986ea0ee6ff812caa17979a0794c","last_reissued_at":"2026-05-18T00:58:50.383686Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:50.383686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.04636","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":"2026-05-18T00:58:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DYjUCy3qQd57usw4zO8zSljS1afqWhOGPQc5CdUkRUEMkaRzOvYpPXvziGsFP3OfiLMX7+aZ9IZwYz+aEtVDCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T23:07:01.670398Z"},"content_sha256":"cf17212e79d8b4b501224eddd1f9840accf89c414487c8e985d0d0080b5b9653","schema_version":"1.0","event_id":"sha256:cf17212e79d8b4b501224eddd1f9840accf89c414487c8e985d0d0080b5b9653"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:KCQGURLMGSULIB72AX32AH7QXN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Honglin Zheng, Jiebo Luo, Tianlang Chen","submitted_at":"2016-11-14T22:02:09Z","abstract_excerpt":"Sentiment analysis is crucial for extracting social signals from social media content. Due to the prevalence of images in social media, image sentiment analysis is receiving increasing attention in recent years. However, most existing systems are black-boxes that do not provide insight on how image content invokes sentiment and emotion in the viewers. Psychological studies have confirmed that salient objects in an image often invoke emotions. In this work, we investigate more fine-grained and more comprehensive interaction between visual saliency and visual sentiment. In particular, we partiti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.04636","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":"2026-05-18T00:58:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ClwXXM0oPSyEHI6WatWh4SGzikUmCQxJbRq8MzqKthNsPkeCLEDuJGAu6igff1k22g+nmBB6XmT1W6ZqKvTvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T23:07:01.670750Z"},"content_sha256":"9c4c86906c780ef9907116ee6c2ae045e9e1476fd5e6f34e26cb7526b27c0fba","schema_version":"1.0","event_id":"sha256:9c4c86906c780ef9907116ee6c2ae045e9e1476fd5e6f34e26cb7526b27c0fba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KCQGURLMGSULIB72AX32AH7QXN/bundle.json","state_url":"https://pith.science/pith/KCQGURLMGSULIB72AX32AH7QXN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KCQGURLMGSULIB72AX32AH7QXN/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":"2026-07-04T23:07:01Z","links":{"resolver":"https://pith.science/pith/KCQGURLMGSULIB72AX32AH7QXN","bundle":"https://pith.science/pith/KCQGURLMGSULIB72AX32AH7QXN/bundle.json","state":"https://pith.science/pith/KCQGURLMGSULIB72AX32AH7QXN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KCQGURLMGSULIB72AX32AH7QXN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:KCQGURLMGSULIB72AX32AH7QXN","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":"21de112a0c46b104dd115ea0a1476b7a9c7a34588c766202d7059154e54dde5e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-14T22:02:09Z","title_canon_sha256":"befa511b617fea80bd23db78653f5331a449ab639f434281c55b7608414cd145"},"schema_version":"1.0","source":{"id":"1611.04636","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.04636","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"arxiv_version","alias_value":"1611.04636v1","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.04636","created_at":"2026-05-18T00:58:50Z"},{"alias_kind":"pith_short_12","alias_value":"KCQGURLMGSUL","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"KCQGURLMGSULIB72","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"KCQGURLM","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:9c4c86906c780ef9907116ee6c2ae045e9e1476fd5e6f34e26cb7526b27c0fba","target":"graph","created_at":"2026-05-18T00:58:50Z","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":"Sentiment analysis is crucial for extracting social signals from social media content. Due to the prevalence of images in social media, image sentiment analysis is receiving increasing attention in recent years. However, most existing systems are black-boxes that do not provide insight on how image content invokes sentiment and emotion in the viewers. Psychological studies have confirmed that salient objects in an image often invoke emotions. In this work, we investigate more fine-grained and more comprehensive interaction between visual saliency and visual sentiment. In particular, we partiti","authors_text":"Honglin Zheng, Jiebo Luo, Tianlang Chen","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-14T22:02:09Z","title":"When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.04636","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:cf17212e79d8b4b501224eddd1f9840accf89c414487c8e985d0d0080b5b9653","target":"record","created_at":"2026-05-18T00:58:50Z","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":"21de112a0c46b104dd115ea0a1476b7a9c7a34588c766202d7059154e54dde5e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-14T22:02:09Z","title_canon_sha256":"befa511b617fea80bd23db78653f5331a449ab639f434281c55b7608414cd145"},"schema_version":"1.0","source":{"id":"1611.04636","kind":"arxiv","version":1}},"canonical_sha256":"50a06a456c34a8b407fa05f7a01ff0bb4226986ea0ee6ff812caa17979a0794c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50a06a456c34a8b407fa05f7a01ff0bb4226986ea0ee6ff812caa17979a0794c","first_computed_at":"2026-05-18T00:58:50.383686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:50.383686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IrzKFErkloXOohV0jrj27jPTphIVCxkGBilnFsG+Mo+BFYCVXRdNpe5BkloZxjCOQDgobzlygUwdyUMi+YmaBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:50.384154Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.04636","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf17212e79d8b4b501224eddd1f9840accf89c414487c8e985d0d0080b5b9653","sha256:9c4c86906c780ef9907116ee6c2ae045e9e1476fd5e6f34e26cb7526b27c0fba"],"state_sha256":"beba608a468e169d90eadb947c4c9749d29b2228937562cce6df4068f624d188"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OvHc8pAImVDPTb2/5It0Kf0N8KgqNAMsq5KTUbiHfsCGup6nB45NpZF+B9BsT1Qa0lZWsAGn8FRqkeKLjpdcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T23:07:01.672959Z","bundle_sha256":"5342cba5e615785e5c484adc778c9c34a7d52c005a8d1d05fbea7a3ddf5b702d"}}