{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:UJ7L3HD4WW4DZBRLWOOZJD3KOB","short_pith_number":"pith:UJ7L3HD4","canonical_record":{"source":{"id":"1810.03213","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-07T21:44:32Z","cross_cats_sorted":[],"title_canon_sha256":"523b5956211a557262470ce94c9ad7c20471562e6309ef176cf12e5f8a515c28","abstract_canon_sha256":"8397a687e84bc641ed136c5aa1931288a0632b2f17f1fc77f5087b368c3734dd"},"schema_version":"1.0"},"canonical_sha256":"a27ebd9c7cb5b83c862bb39d948f6a705c0d185b31e7be8658f8e87b7d2076f9","source":{"kind":"arxiv","id":"1810.03213","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03213","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03213v1","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03213","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"UJ7L3HD4WW4D","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UJ7L3HD4WW4DZBRL","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UJ7L3HD4","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:UJ7L3HD4WW4DZBRLWOOZJD3KOB","target":"record","payload":{"canonical_record":{"source":{"id":"1810.03213","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-07T21:44:32Z","cross_cats_sorted":[],"title_canon_sha256":"523b5956211a557262470ce94c9ad7c20471562e6309ef176cf12e5f8a515c28","abstract_canon_sha256":"8397a687e84bc641ed136c5aa1931288a0632b2f17f1fc77f5087b368c3734dd"},"schema_version":"1.0"},"canonical_sha256":"a27ebd9c7cb5b83c862bb39d948f6a705c0d185b31e7be8658f8e87b7d2076f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:54.154642Z","signature_b64":"+V1d8U2+0H+7QaZpAQ4F4AaJ+FeuoTDsKUUReIk03Aph4i8VaYHDeI0O3XzeSTfBg6d2ztv7Eq4bKfhpp/3kDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a27ebd9c7cb5b83c862bb39d948f6a705c0d185b31e7be8658f8e87b7d2076f9","last_reissued_at":"2026-05-18T00:03:54.154136Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:54.154136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.03213","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":"2026-05-18T00:03:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v7RCCRLB9yqR3K9RO6blrfVZbyvav/6pO5WDGKmd3desy2bpqaknrYnmo0PpOdsI0RkXVJKbzqxMBeWA1acaDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:15:55.163745Z"},"content_sha256":"e912b5babc551d5a0859f24376a0929671654ee333ddeb2624b145fee3e14843","schema_version":"1.0","event_id":"sha256:e912b5babc551d5a0859f24376a0929671654ee333ddeb2624b145fee3e14843"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:UJ7L3HD4WW4DZBRLWOOZJD3KOB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Completion on CIFAR-10","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mason Swofford","submitted_at":"2018-10-07T21:44:32Z","abstract_excerpt":"This project performed image completion on CIFAR-10, a dataset of 60,000 32x32 RGB images, using three different neural network architectures: fully convolutional networks, convolutional networks with fully connected layers, and encoder-decoder convolutional networks. The highest performing model was a deep fully convolutional network, which was able to achieve a mean squared error of .015 when comparing the original image pixel values with the predicted pixel values. As well, this network was able to output in-painted images which appeared real to the human eye."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03213","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":"2026-05-18T00:03:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HIT07wLBU6QYWFeqZwV+ZfjabBGeQ9Mn2Gkp+pegTWw07BgJEBPntjBq0EqFkne+E3Te+p0M1VLilzDNPLndDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:15:55.164076Z"},"content_sha256":"de22105fc492e85ad6177f57a07380b94adeff3d0a7aedb0baddae227234a9eb","schema_version":"1.0","event_id":"sha256:de22105fc492e85ad6177f57a07380b94adeff3d0a7aedb0baddae227234a9eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/bundle.json","state_url":"https://pith.science/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/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":"2026-06-08T12:15:55Z","links":{"resolver":"https://pith.science/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB","bundle":"https://pith.science/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/bundle.json","state":"https://pith.science/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UJ7L3HD4WW4DZBRLWOOZJD3KOB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:UJ7L3HD4WW4DZBRLWOOZJD3KOB","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":"8397a687e84bc641ed136c5aa1931288a0632b2f17f1fc77f5087b368c3734dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-07T21:44:32Z","title_canon_sha256":"523b5956211a557262470ce94c9ad7c20471562e6309ef176cf12e5f8a515c28"},"schema_version":"1.0","source":{"id":"1810.03213","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03213","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03213v1","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03213","created_at":"2026-05-18T00:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"UJ7L3HD4WW4D","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"UJ7L3HD4WW4DZBRL","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"UJ7L3HD4","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:de22105fc492e85ad6177f57a07380b94adeff3d0a7aedb0baddae227234a9eb","target":"graph","created_at":"2026-05-18T00:03:54Z","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":"This project performed image completion on CIFAR-10, a dataset of 60,000 32x32 RGB images, using three different neural network architectures: fully convolutional networks, convolutional networks with fully connected layers, and encoder-decoder convolutional networks. The highest performing model was a deep fully convolutional network, which was able to achieve a mean squared error of .015 when comparing the original image pixel values with the predicted pixel values. As well, this network was able to output in-painted images which appeared real to the human eye.","authors_text":"Mason Swofford","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-07T21:44:32Z","title":"Image Completion on CIFAR-10"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03213","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:e912b5babc551d5a0859f24376a0929671654ee333ddeb2624b145fee3e14843","target":"record","created_at":"2026-05-18T00:03:54Z","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":"8397a687e84bc641ed136c5aa1931288a0632b2f17f1fc77f5087b368c3734dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-10-07T21:44:32Z","title_canon_sha256":"523b5956211a557262470ce94c9ad7c20471562e6309ef176cf12e5f8a515c28"},"schema_version":"1.0","source":{"id":"1810.03213","kind":"arxiv","version":1}},"canonical_sha256":"a27ebd9c7cb5b83c862bb39d948f6a705c0d185b31e7be8658f8e87b7d2076f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a27ebd9c7cb5b83c862bb39d948f6a705c0d185b31e7be8658f8e87b7d2076f9","first_computed_at":"2026-05-18T00:03:54.154136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:54.154136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+V1d8U2+0H+7QaZpAQ4F4AaJ+FeuoTDsKUUReIk03Aph4i8VaYHDeI0O3XzeSTfBg6d2ztv7Eq4bKfhpp/3kDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:54.154642Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.03213","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e912b5babc551d5a0859f24376a0929671654ee333ddeb2624b145fee3e14843","sha256:de22105fc492e85ad6177f57a07380b94adeff3d0a7aedb0baddae227234a9eb"],"state_sha256":"995dcbe0b5f7679ee28ccfaa28585fac1a2bb33a92c9793e6f0cf641783b20ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4O56/D2JRONMl6m8PrmsgkjbQVrSXIfHTgO9pzjZ+b98UWqC7opDntontfdUuq5qSqFnvXRlUuB5AMjTXo0GBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T12:15:55.165987Z","bundle_sha256":"f1e84043ed26bf70ade02660276f9713c12ecb4a82f4053ef45d715f432592da"}}