{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:IE5WQKKDG5EJ5SK5LK2J44OZFE","short_pith_number":"pith:IE5WQKKD","canonical_record":{"source":{"id":"1801.09108","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T16:13:22Z","cross_cats_sorted":[],"title_canon_sha256":"7dfbabcf8f2e3b0710f850cf272994e9c2a1c4b10ae557c64d4c34f73487361f","abstract_canon_sha256":"53d07a3e5d301d3d7980504c1f064a2019c6fae5e71bb124f36a4a9bce3b50a1"},"schema_version":"1.0"},"canonical_sha256":"413b68294337489ec95d5ab49e71d92910137eb6daa6c0882c94e05bc8104113","source":{"kind":"arxiv","id":"1801.09108","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09108","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09108v1","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09108","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"pith_short_12","alias_value":"IE5WQKKDG5EJ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IE5WQKKDG5EJ5SK5","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IE5WQKKD","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:IE5WQKKDG5EJ5SK5LK2J44OZFE","target":"record","payload":{"canonical_record":{"source":{"id":"1801.09108","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T16:13:22Z","cross_cats_sorted":[],"title_canon_sha256":"7dfbabcf8f2e3b0710f850cf272994e9c2a1c4b10ae557c64d4c34f73487361f","abstract_canon_sha256":"53d07a3e5d301d3d7980504c1f064a2019c6fae5e71bb124f36a4a9bce3b50a1"},"schema_version":"1.0"},"canonical_sha256":"413b68294337489ec95d5ab49e71d92910137eb6daa6c0882c94e05bc8104113","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:58.597830Z","signature_b64":"zj6lezc92AdY+P8XAsHrvksNY/mvaLwdsur1UPAT3eNMDwBjvKsTAnkgBBCNqTdPWhCCfNnKdtGBwhL0iZXiCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"413b68294337489ec95d5ab49e71d92910137eb6daa6c0882c94e05bc8104113","last_reissued_at":"2026-05-18T00:24:58.597140Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:58.597140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.09108","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":"2026-05-18T00:24:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BzYwptRtJWRGCl9S6/1/CbaTTw4sZU+ppNv/dQnSav6gzZ4KUv2GlNZtDyv4GhrAst/DSLN5ONWuV3UbyAgGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T00:14:59.645281Z"},"content_sha256":"0b6fa54bacaf81be7ba823c25c140c48b939426aec5015260dc7254df6f57730","schema_version":"1.0","event_id":"sha256:0b6fa54bacaf81be7ba823c25c140c48b939426aec5015260dc7254df6f57730"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:IE5WQKKDG5EJ5SK5LK2J44OZFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anthony Hoogs, Chengjiang Long, Eran Swears, Roddy Collins","submitted_at":"2018-01-27T16:13:22Z","abstract_excerpt":"We propose a novel method for predicting image labels by fusing image content descriptors with the social media context of each image. An image uploaded to a social media site such as Flickr often has meaningful, associated information, such as comments and other images the user has uploaded, that is complementary to pixel content and helpful in predicting labels. Prediction challenges such as ImageNet~\\cite{imagenet_cvpr09} and MSCOCO~\\cite{LinMBHPRDZ:ECCV14} use only pixels, while other methods make predictions purely from social media context \\cite{McAuleyECCV12}. Our method is based on a n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09108","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":"2026-05-18T00:24:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RfNqoFYTpU7BFK/8rbhjGYXcpkZlQefA0v+IGak1QoxS9LLN6PqPq57MQcRHy1q+hBnNbJw9HHHhQA5AUhMgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T00:14:59.646016Z"},"content_sha256":"01776453816d5463d78cf021121f3e9edd2b21f9284cf9b9bd5f43f00812ecdd","schema_version":"1.0","event_id":"sha256:01776453816d5463d78cf021121f3e9edd2b21f9284cf9b9bd5f43f00812ecdd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/bundle.json","state_url":"https://pith.science/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/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":"2026-06-07T00:14:59Z","links":{"resolver":"https://pith.science/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE","bundle":"https://pith.science/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/bundle.json","state":"https://pith.science/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IE5WQKKDG5EJ5SK5LK2J44OZFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IE5WQKKDG5EJ5SK5LK2J44OZFE","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":"53d07a3e5d301d3d7980504c1f064a2019c6fae5e71bb124f36a4a9bce3b50a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T16:13:22Z","title_canon_sha256":"7dfbabcf8f2e3b0710f850cf272994e9c2a1c4b10ae557c64d4c34f73487361f"},"schema_version":"1.0","source":{"id":"1801.09108","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09108","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09108v1","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09108","created_at":"2026-05-18T00:24:58Z"},{"alias_kind":"pith_short_12","alias_value":"IE5WQKKDG5EJ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IE5WQKKDG5EJ5SK5","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IE5WQKKD","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:01776453816d5463d78cf021121f3e9edd2b21f9284cf9b9bd5f43f00812ecdd","target":"graph","created_at":"2026-05-18T00:24:58Z","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":"We propose a novel method for predicting image labels by fusing image content descriptors with the social media context of each image. An image uploaded to a social media site such as Flickr often has meaningful, associated information, such as comments and other images the user has uploaded, that is complementary to pixel content and helpful in predicting labels. Prediction challenges such as ImageNet~\\cite{imagenet_cvpr09} and MSCOCO~\\cite{LinMBHPRDZ:ECCV14} use only pixels, while other methods make predictions purely from social media context \\cite{McAuleyECCV12}. Our method is based on a n","authors_text":"Anthony Hoogs, Chengjiang Long, Eran Swears, Roddy Collins","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T16:13:22Z","title":"Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09108","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":"sha256:0b6fa54bacaf81be7ba823c25c140c48b939426aec5015260dc7254df6f57730","target":"record","created_at":"2026-05-18T00:24:58Z","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":"53d07a3e5d301d3d7980504c1f064a2019c6fae5e71bb124f36a4a9bce3b50a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T16:13:22Z","title_canon_sha256":"7dfbabcf8f2e3b0710f850cf272994e9c2a1c4b10ae557c64d4c34f73487361f"},"schema_version":"1.0","source":{"id":"1801.09108","kind":"arxiv","version":1}},"canonical_sha256":"413b68294337489ec95d5ab49e71d92910137eb6daa6c0882c94e05bc8104113","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"413b68294337489ec95d5ab49e71d92910137eb6daa6c0882c94e05bc8104113","first_computed_at":"2026-05-18T00:24:58.597140Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:58.597140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zj6lezc92AdY+P8XAsHrvksNY/mvaLwdsur1UPAT3eNMDwBjvKsTAnkgBBCNqTdPWhCCfNnKdtGBwhL0iZXiCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:58.597830Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.09108","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b6fa54bacaf81be7ba823c25c140c48b939426aec5015260dc7254df6f57730","sha256:01776453816d5463d78cf021121f3e9edd2b21f9284cf9b9bd5f43f00812ecdd"],"state_sha256":"f99266914859a4b256304f9c76122252603e67fc3af0762f9b4f46ce297450ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jZQ2qq6LdBeefiZwr2/u+vjtdKExsXtpO3qsc/02AcrhEzqhVd+V0Eg7CBQcJ4Rl22v6NORz+Y80SzPtWnvAAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T00:14:59.650273Z","bundle_sha256":"48908c5731d4ac88a57f1c31f4d88bf3c95832f17093dfbc6d3f238f9e7a2c7d"}}