{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HCYG5ESBNPGAVEW3R5KH5AM4XF","short_pith_number":"pith:HCYG5ESB","canonical_record":{"source":{"id":"1711.06475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T09:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"c00322bfcb29419f6315dbd2472d3da1f52628c8514b5cb086482a88089f7fab","abstract_canon_sha256":"1b4568a4187bc68e7527b18d5f3cfafcf9e446b31e3eed4af871d26d47960490"},"schema_version":"1.0"},"canonical_sha256":"38b06e92416bcc0a92db8f547e819cb96a110c832cb64d0d9f3f77d0267a8647","source":{"kind":"arxiv","id":"1711.06475","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06475","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06475v1","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06475","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"HCYG5ESBNPGA","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_16","alias_value":"HCYG5ESBNPGAVEW3","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_8","alias_value":"HCYG5ESB","created_at":"2026-07-05T02:20:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HCYG5ESBNPGAVEW3R5KH5AM4XF","target":"record","payload":{"canonical_record":{"source":{"id":"1711.06475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T09:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"c00322bfcb29419f6315dbd2472d3da1f52628c8514b5cb086482a88089f7fab","abstract_canon_sha256":"1b4568a4187bc68e7527b18d5f3cfafcf9e446b31e3eed4af871d26d47960490"},"schema_version":"1.0"},"canonical_sha256":"38b06e92416bcc0a92db8f547e819cb96a110c832cb64d0d9f3f77d0267a8647","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:20:51.015173Z","signature_b64":"MfmDNjAFiSRi0ouvQQDXqtPx2cF/RhD6JLCj7z0HdNRc6RDxIYFP+BXy7nemK5yoiktJi09ySbJnHpaSLBSKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38b06e92416bcc0a92db8f547e819cb96a110c832cb64d0d9f3f77d0267a8647","last_reissued_at":"2026-07-05T02:20:51.014674Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:20:51.014674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.06475","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":"2026-07-05T02:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NFKlUUixYAaoXyAUi/B4RirAcSVU0VUpn4NaFAg1nYyiQTzg0SRHPtRSZ3+DCLhRAzBCPdNe78aC9fb/mumZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:25:31.997855Z"},"content_sha256":"d1f1282970bfce8d1c46c28cfa825bb84f3c95eba7eb966c435c5f91ec324a7c","schema_version":"1.0","event_id":"sha256:d1f1282970bfce8d1c46c28cfa825bb84f3c95eba7eb966c435c5f91ec324a7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HCYG5ESBNPGAVEW3R5KH5AM4XF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baoming Yan, Bo Zhao, Guosen Lin, He Zheng, Jiahong Wu, Rui Liang, Shipei Zhou, Wenjia Wang, Yanwei Fu, Yixin Li, Yizhou Wang, Yonggang Wang","submitted_at":"2017-11-17T09:58:20Z","abstract_excerpt":"Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets. However, large-scale datasets for complex Computer Vision tasks beyond classification are still limited. This paper proposed a large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image Chinese captioning (ICC). In this dataset, we annotate class labels (LAD), keypoint coordinate (HKD), bounding box (HKD and LAD), attribute (LAD) and caption (ICC). These rich annotations bridge the semantic gap between low-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06475","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/1711.06475/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":"2026-07-05T02:20:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zvNTFDbaqtITQULdM8lCT8AgIs/w+RBuwe7M5ke98vOaHno3bdNfLNrqW4LXoZG/xdMofQA7yOXIPJXaY/CqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:25:31.998907Z"},"content_sha256":"049b447e7e73df11369cedaa12da92b3910ef11688fb4baa12e31e22dbb16a1c","schema_version":"1.0","event_id":"sha256:049b447e7e73df11369cedaa12da92b3910ef11688fb4baa12e31e22dbb16a1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/bundle.json","state_url":"https://pith.science/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/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":"2026-08-09T03:25:32Z","links":{"resolver":"https://pith.science/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF","bundle":"https://pith.science/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/bundle.json","state":"https://pith.science/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HCYG5ESBNPGAVEW3R5KH5AM4XF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HCYG5ESBNPGAVEW3R5KH5AM4XF","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":"1b4568a4187bc68e7527b18d5f3cfafcf9e446b31e3eed4af871d26d47960490","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T09:58:20Z","title_canon_sha256":"c00322bfcb29419f6315dbd2472d3da1f52628c8514b5cb086482a88089f7fab"},"schema_version":"1.0","source":{"id":"1711.06475","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06475","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06475v1","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06475","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"HCYG5ESBNPGA","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_16","alias_value":"HCYG5ESBNPGAVEW3","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_8","alias_value":"HCYG5ESB","created_at":"2026-07-05T02:20:51Z"}],"graph_snapshots":[{"event_id":"sha256:049b447e7e73df11369cedaa12da92b3910ef11688fb4baa12e31e22dbb16a1c","target":"graph","created_at":"2026-07-05T02:20:51Z","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/1711.06475/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets. However, large-scale datasets for complex Computer Vision tasks beyond classification are still limited. This paper proposed a large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image Chinese captioning (ICC). In this dataset, we annotate class labels (LAD), keypoint coordinate (HKD), bounding box (HKD and LAD), attribute (LAD) and caption (ICC). These rich annotations bridge the semantic gap between low-","authors_text":"Baoming Yan, Bo Zhao, Guosen Lin, He Zheng, Jiahong Wu, Rui Liang, Shipei Zhou, Wenjia Wang, Yanwei Fu, Yixin Li, Yizhou Wang, Yonggang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T09:58:20Z","title":"AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06475","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:d1f1282970bfce8d1c46c28cfa825bb84f3c95eba7eb966c435c5f91ec324a7c","target":"record","created_at":"2026-07-05T02:20:51Z","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":"1b4568a4187bc68e7527b18d5f3cfafcf9e446b31e3eed4af871d26d47960490","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T09:58:20Z","title_canon_sha256":"c00322bfcb29419f6315dbd2472d3da1f52628c8514b5cb086482a88089f7fab"},"schema_version":"1.0","source":{"id":"1711.06475","kind":"arxiv","version":1}},"canonical_sha256":"38b06e92416bcc0a92db8f547e819cb96a110c832cb64d0d9f3f77d0267a8647","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38b06e92416bcc0a92db8f547e819cb96a110c832cb64d0d9f3f77d0267a8647","first_computed_at":"2026-07-05T02:20:51.014674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:51.014674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MfmDNjAFiSRi0ouvQQDXqtPx2cF/RhD6JLCj7z0HdNRc6RDxIYFP+BXy7nemK5yoiktJi09ySbJnHpaSLBSKAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:51.015173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.06475","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1f1282970bfce8d1c46c28cfa825bb84f3c95eba7eb966c435c5f91ec324a7c","sha256:049b447e7e73df11369cedaa12da92b3910ef11688fb4baa12e31e22dbb16a1c"],"state_sha256":"db9c278eb6ed4913b26ba4a5d71d9da22ce536901464a0880eac4b16de9e4add"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dTmmyOl7wkBLuXcVY0Chxn+sLTkE7j1UFfoh3QFW898KTfYHW0hRQDdD3eSLdoaq0QwSyeupyGciPlyFaDixCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:25:32.004634Z","bundle_sha256":"2ecce2690ac4951b38c8dddff577654f2f07851fe4f5b471a22f6cc5c57d87ab"}}