{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XFRF2JN4Y6SVMUWGGO7JLBMSNS","short_pith_number":"pith:XFRF2JN4","canonical_record":{"source":{"id":"2310.01830","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-03T06:55:19Z","cross_cats_sorted":[],"title_canon_sha256":"70eaeb12e7741f4ac20b654306e4fa7fa53e5912a586bcaacfbaa11e28a9dbbb","abstract_canon_sha256":"ecd3e00340ef95a3c414f3aba6d1774364deb9e4fda2348108e22ecd6a8b7c51"},"schema_version":"1.0"},"canonical_sha256":"b9625d25bcc7a55652c633be9585926cb96adf0320f33695ed3bed8723d848a3","source":{"kind":"arxiv","id":"2310.01830","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01830","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01830v3","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01830","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"XFRF2JN4Y6SV","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"XFRF2JN4Y6SVMUWG","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"XFRF2JN4","created_at":"2026-07-05T07:03:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XFRF2JN4Y6SVMUWGGO7JLBMSNS","target":"record","payload":{"canonical_record":{"source":{"id":"2310.01830","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-03T06:55:19Z","cross_cats_sorted":[],"title_canon_sha256":"70eaeb12e7741f4ac20b654306e4fa7fa53e5912a586bcaacfbaa11e28a9dbbb","abstract_canon_sha256":"ecd3e00340ef95a3c414f3aba6d1774364deb9e4fda2348108e22ecd6a8b7c51"},"schema_version":"1.0"},"canonical_sha256":"b9625d25bcc7a55652c633be9585926cb96adf0320f33695ed3bed8723d848a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:03:31.388539Z","signature_b64":"rZmewEn+r5tjr87LXQDrwKuoXo6QuP4p8yYoVLPvxCP1UBqlinka7c9BKxKvLPgf+DKATRizDEDlSHqZJB4zBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9625d25bcc7a55652c633be9585926cb96adf0320f33695ed3bed8723d848a3","last_reissued_at":"2026-07-05T07:03:31.388130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:03:31.388130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.01830","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":"2026-07-05T07:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Psb5eqYeC8h/1II5BVptnw8KbPqukJSzNypTVBPKOkysNXYoxLcgv3iQqSCE4OigxMNVbCk6Lhtv7iG0ftkcBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:34:01.688252Z"},"content_sha256":"8349113746fa0261275612c0d256569ff47480f22d14a797ec4d10aabf091448","schema_version":"1.0","event_id":"sha256:8349113746fa0261275612c0d256569ff47480f22d14a797ec4d10aabf091448"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XFRF2JN4Y6SVMUWGGO7JLBMSNS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI-Generated Images as Data Source: The Dawn of Synthetic Era","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangneng Zhan, Kunhao Liu, Muyu Xu, Shijian Lu, Zuhao Yang","submitted_at":"2023-10-03T06:55:19Z","abstract_excerpt":"The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic images that closely resemble real-world photographs. This prompts a compelling inquiry: how much visual intelligence could benefit from the advance of generative AI? This paper explores the innovative concept of harnessing these AI-generated images as new data sources, reshaping traditional modeling paradigms in visual intelligence. In contrast to real data, AI-generated data exhibit remarka"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01830","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/2310.01830/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":"2026-07-05T07:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x1pG9d22yTT7LKFMsOBX3oPw27GiJ+I5dEPoU4b44R/Bz1s4w0vmLikSHHRArvSy7xuoKI/pa60oaVmL8+LaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:34:01.688654Z"},"content_sha256":"4a6b3ba13d0d668809e8cae87a31e4cd25b849dac0f401bfca97eae308db9282","schema_version":"1.0","event_id":"sha256:4a6b3ba13d0d668809e8cae87a31e4cd25b849dac0f401bfca97eae308db9282"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/bundle.json","state_url":"https://pith.science/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/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":"2026-07-07T05:34:01Z","links":{"resolver":"https://pith.science/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS","bundle":"https://pith.science/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/bundle.json","state":"https://pith.science/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XFRF2JN4Y6SVMUWGGO7JLBMSNS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XFRF2JN4Y6SVMUWGGO7JLBMSNS","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":"ecd3e00340ef95a3c414f3aba6d1774364deb9e4fda2348108e22ecd6a8b7c51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-03T06:55:19Z","title_canon_sha256":"70eaeb12e7741f4ac20b654306e4fa7fa53e5912a586bcaacfbaa11e28a9dbbb"},"schema_version":"1.0","source":{"id":"2310.01830","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01830","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01830v3","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01830","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"XFRF2JN4Y6SV","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"XFRF2JN4Y6SVMUWG","created_at":"2026-07-05T07:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"XFRF2JN4","created_at":"2026-07-05T07:03:31Z"}],"graph_snapshots":[{"event_id":"sha256:4a6b3ba13d0d668809e8cae87a31e4cd25b849dac0f401bfca97eae308db9282","target":"graph","created_at":"2026-07-05T07:03:31Z","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/2310.01830/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic images that closely resemble real-world photographs. This prompts a compelling inquiry: how much visual intelligence could benefit from the advance of generative AI? This paper explores the innovative concept of harnessing these AI-generated images as new data sources, reshaping traditional modeling paradigms in visual intelligence. In contrast to real data, AI-generated data exhibit remarka","authors_text":"Fangneng Zhan, Kunhao Liu, Muyu Xu, Shijian Lu, Zuhao Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-03T06:55:19Z","title":"AI-Generated Images as Data Source: The Dawn of Synthetic Era"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01830","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":"sha256:8349113746fa0261275612c0d256569ff47480f22d14a797ec4d10aabf091448","target":"record","created_at":"2026-07-05T07:03:31Z","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":"ecd3e00340ef95a3c414f3aba6d1774364deb9e4fda2348108e22ecd6a8b7c51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-03T06:55:19Z","title_canon_sha256":"70eaeb12e7741f4ac20b654306e4fa7fa53e5912a586bcaacfbaa11e28a9dbbb"},"schema_version":"1.0","source":{"id":"2310.01830","kind":"arxiv","version":3}},"canonical_sha256":"b9625d25bcc7a55652c633be9585926cb96adf0320f33695ed3bed8723d848a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9625d25bcc7a55652c633be9585926cb96adf0320f33695ed3bed8723d848a3","first_computed_at":"2026-07-05T07:03:31.388130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:03:31.388130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rZmewEn+r5tjr87LXQDrwKuoXo6QuP4p8yYoVLPvxCP1UBqlinka7c9BKxKvLPgf+DKATRizDEDlSHqZJB4zBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:03:31.388539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01830","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8349113746fa0261275612c0d256569ff47480f22d14a797ec4d10aabf091448","sha256:4a6b3ba13d0d668809e8cae87a31e4cd25b849dac0f401bfca97eae308db9282"],"state_sha256":"09b0f20f00eeabbd881049d09deb8fdcb3be3ca80fcf36bdf35b5dc154177cf2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y98vlvkDHd2gqyGHAAAaYQC5m0XMC3lmPUv+ZAoi+VHk86JF6pNXIp+Nkr0phbNBKYhNq01+IJPz3FbyTwOyDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:34:01.690705Z","bundle_sha256":"45b9cdb37d68f5d1b055b25a49ac33b56a8c05b1129c8a231871bee789d79a35"}}