{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FNALZTHK7HFBGFZYP4TR4G7NXG","short_pith_number":"pith:FNALZTHK","canonical_record":{"source":{"id":"2109.09120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-19T13:31:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8b2d4a8a946c0c06f0612ef37f94385f2658cae8e21b71b91468276a3e98d625","abstract_canon_sha256":"a43f4c5861f1a3e3bbc03046149746f4fe03a156154ac09e4acbf4f6f48536da"},"schema_version":"1.0"},"canonical_sha256":"2b40bccceaf9ca1317387f271e1bedb982bfa69a7363012f27a8e345ca385ee9","source":{"kind":"arxiv","id":"2109.09120","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.09120","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"arxiv_version","alias_value":"2109.09120v1","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.09120","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_12","alias_value":"FNALZTHK7HFB","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_16","alias_value":"FNALZTHK7HFBGFZY","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_8","alias_value":"FNALZTHK","created_at":"2026-07-05T03:15:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FNALZTHK7HFBGFZYP4TR4G7NXG","target":"record","payload":{"canonical_record":{"source":{"id":"2109.09120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-19T13:31:32Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8b2d4a8a946c0c06f0612ef37f94385f2658cae8e21b71b91468276a3e98d625","abstract_canon_sha256":"a43f4c5861f1a3e3bbc03046149746f4fe03a156154ac09e4acbf4f6f48536da"},"schema_version":"1.0"},"canonical_sha256":"2b40bccceaf9ca1317387f271e1bedb982bfa69a7363012f27a8e345ca385ee9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:15:41.891550Z","signature_b64":"rrtA3Q0o7POno4yr1bdOyFACiD5OombvJKW+lQNiqfgtkhKwHmXyBwrPxp74iprjo83ELj8bctyXcpMvVZ50CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b40bccceaf9ca1317387f271e1bedb982bfa69a7363012f27a8e345ca385ee9","last_reissued_at":"2026-07-05T03:15:41.891104Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:15:41.891104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.09120","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":"2026-07-05T03:15:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJwlO4m5CoP5hElV5rKcygZ6ypfBAr64RzDFxkOdsww+xS8tJg3PEHvLIbke3rY7AshWQ487blo7vrJwYffhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:58:54.716484Z"},"content_sha256":"73e7023149428a67a8ef2a25a37ff2685641f5e102534783c0c7fa291c1c8512","schema_version":"1.0","event_id":"sha256:73e7023149428a67a8ef2a25a37ff2685641f5e102534783c0c7fa291c1c8512"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FNALZTHK7HFBGFZYP4TR4G7NXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ComicGAN: Text-to-Comic Generative Adversarial Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ben Proven-Bessel, Lydia Chen, Zilong Zhao","submitted_at":"2021-09-19T13:31:32Z","abstract_excerpt":"Drawing and annotating comic illustrations is a complex and difficult process. No existing machine learning algorithms have been developed to create comic illustrations based on descriptions of illustrations, or the dialogue in comics. Moreover, it is not known if a generative adversarial network (GAN) can generate original comics that correspond to the dialogue and/or descriptions. GANs are successful in producing photo-realistic images, but this technology does not necessarily translate to generation of flawless comics. What is more, comic evaluation is a prominent challenge as common metric"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.09120","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/2109.09120/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":"2026-07-05T03:15:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"32ahER75Yx3LGHfeEfTLIfvk6CRT/ncuH2nfwpP8jYMhrAUT6D5L0jjVpEUCRkYf9HZ1IKj1LctIPmSFjf0oCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:58:54.717365Z"},"content_sha256":"d3c65ef8957ba670f2c9baf0964859b2471af06ec4783504429cf6f812a666c9","schema_version":"1.0","event_id":"sha256:d3c65ef8957ba670f2c9baf0964859b2471af06ec4783504429cf6f812a666c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/bundle.json","state_url":"https://pith.science/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/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":"2026-08-04T09:58:54Z","links":{"resolver":"https://pith.science/pith/FNALZTHK7HFBGFZYP4TR4G7NXG","bundle":"https://pith.science/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/bundle.json","state":"https://pith.science/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FNALZTHK7HFBGFZYP4TR4G7NXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FNALZTHK7HFBGFZYP4TR4G7NXG","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":"a43f4c5861f1a3e3bbc03046149746f4fe03a156154ac09e4acbf4f6f48536da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-19T13:31:32Z","title_canon_sha256":"8b2d4a8a946c0c06f0612ef37f94385f2658cae8e21b71b91468276a3e98d625"},"schema_version":"1.0","source":{"id":"2109.09120","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.09120","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"arxiv_version","alias_value":"2109.09120v1","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.09120","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_12","alias_value":"FNALZTHK7HFB","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_16","alias_value":"FNALZTHK7HFBGFZY","created_at":"2026-07-05T03:15:41Z"},{"alias_kind":"pith_short_8","alias_value":"FNALZTHK","created_at":"2026-07-05T03:15:41Z"}],"graph_snapshots":[{"event_id":"sha256:d3c65ef8957ba670f2c9baf0964859b2471af06ec4783504429cf6f812a666c9","target":"graph","created_at":"2026-07-05T03:15:41Z","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/2109.09120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Drawing and annotating comic illustrations is a complex and difficult process. No existing machine learning algorithms have been developed to create comic illustrations based on descriptions of illustrations, or the dialogue in comics. Moreover, it is not known if a generative adversarial network (GAN) can generate original comics that correspond to the dialogue and/or descriptions. GANs are successful in producing photo-realistic images, but this technology does not necessarily translate to generation of flawless comics. What is more, comic evaluation is a prominent challenge as common metric","authors_text":"Ben Proven-Bessel, Lydia Chen, Zilong Zhao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-19T13:31:32Z","title":"ComicGAN: Text-to-Comic Generative Adversarial Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.09120","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":"sha256:73e7023149428a67a8ef2a25a37ff2685641f5e102534783c0c7fa291c1c8512","target":"record","created_at":"2026-07-05T03:15:41Z","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":"a43f4c5861f1a3e3bbc03046149746f4fe03a156154ac09e4acbf4f6f48536da","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-19T13:31:32Z","title_canon_sha256":"8b2d4a8a946c0c06f0612ef37f94385f2658cae8e21b71b91468276a3e98d625"},"schema_version":"1.0","source":{"id":"2109.09120","kind":"arxiv","version":1}},"canonical_sha256":"2b40bccceaf9ca1317387f271e1bedb982bfa69a7363012f27a8e345ca385ee9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b40bccceaf9ca1317387f271e1bedb982bfa69a7363012f27a8e345ca385ee9","first_computed_at":"2026-07-05T03:15:41.891104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:41.891104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rrtA3Q0o7POno4yr1bdOyFACiD5OombvJKW+lQNiqfgtkhKwHmXyBwrPxp74iprjo83ELj8bctyXcpMvVZ50CA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:41.891550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.09120","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73e7023149428a67a8ef2a25a37ff2685641f5e102534783c0c7fa291c1c8512","sha256:d3c65ef8957ba670f2c9baf0964859b2471af06ec4783504429cf6f812a666c9"],"state_sha256":"1567e07ed1d54b7e2fa5e3cd857672f559ef94bee5d18e1313c03c89d95b01cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F5jW1skRSb6lKvVce9+uyhdQvd0vAcLZ1qPWtdiCYsnJxlwngRUJWh6UFlhtkGYaFOTPJweqkoxRbKmuFddUDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:58:54.722923Z","bundle_sha256":"e59d6d96cf037e67639bffb89233b18402b8ceaa019fb0e48cdf3bf0d864a34d"}}