{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:RKCFWA46MM7TJFJRWGOULV3UJ6","short_pith_number":"pith:RKCFWA46","canonical_record":{"source":{"id":"1711.06491","kind":"arxiv","version":18},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T10:47:08Z","cross_cats_sorted":[],"title_canon_sha256":"00d97162dd9d44ee2dc1b118333928d1c4a2a779e295e5052cf50aaf770b72c6","abstract_canon_sha256":"9ec8be57ed0de17a708d22dc83c12969c20253aa33b700579149bb9cf0f41735"},"schema_version":"1.0"},"canonical_sha256":"8a845b039e633f349531b19d45d7744fbd5b63296b053d1f4604d4972d10a225","source":{"kind":"arxiv","id":"1711.06491","version":18},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06491","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06491v18","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06491","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_12","alias_value":"RKCFWA46MM7T","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_16","alias_value":"RKCFWA46MM7TJFJR","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_8","alias_value":"RKCFWA46","created_at":"2026-07-05T00:55:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:RKCFWA46MM7TJFJRWGOULV3UJ6","target":"record","payload":{"canonical_record":{"source":{"id":"1711.06491","kind":"arxiv","version":18},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T10:47:08Z","cross_cats_sorted":[],"title_canon_sha256":"00d97162dd9d44ee2dc1b118333928d1c4a2a779e295e5052cf50aaf770b72c6","abstract_canon_sha256":"9ec8be57ed0de17a708d22dc83c12969c20253aa33b700579149bb9cf0f41735"},"schema_version":"1.0"},"canonical_sha256":"8a845b039e633f349531b19d45d7744fbd5b63296b053d1f4604d4972d10a225","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:55:43.101663Z","signature_b64":"tasQNqoDfQcH2sXp4MXZTUSFXNMVYn+ByE/P7wzd9Ek0wOC6vzZpH6YAMSpmtmq3jSK7YgnorAYDnpyJZQ8FDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8a845b039e633f349531b19d45d7744fbd5b63296b053d1f4604d4972d10a225","last_reissued_at":"2026-07-05T00:55:43.101125Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:55:43.101125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.06491","source_version":18,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:55:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JNAC1aFbY/0o2OHAJwxQeRP3hZCWdQHA9WoxvvC2xOd/vzlBldr6553BPpmV4aSCRjhbU9kX/V8Nmjn5hQNhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:09:01.417200Z"},"content_sha256":"da507fb250ff0003bffd27218da2178cb42c70866954cb1dc8e6538e404b3d27","schema_version":"1.0","event_id":"sha256:da507fb250ff0003bffd27218da2178cb42c70866954cb1dc8e6538e404b3d27"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:RKCFWA46MM7TJFJRWGOULV3UJ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-resolution Deep Convolutional Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fernando De la Torre, I. C. Zarza, Irwin King, J. D. Curt\\'o, Michael R. Lyu","submitted_at":"2017-11-17T10:47:08Z","abstract_excerpt":"Generative Adversarial Networks (GANs) [Goodfellow et al. 2014] convergence in a high-resolution setting with a computational constrain of GPU memory capacity has been beset with difficulty due to the known lack of convergence rate stability. In order to boost network convergence of DCGAN (Deep Convolutional Generative Adversarial Networks) [Radford et al. 2016] and achieve good-looking high-resolution results we propose a new layered network, HDCGAN, that incorporates current state-of-the-art techniques for this effect. Glasses, a mechanism to arbitrarily improve the final GAN generated resul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06491","kind":"arxiv","version":18},"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/1711.06491/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":"2026-07-05T00:55:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aatK3/JNaFIi6euQx0ishaB0+3HkJfKBG84jgUKED9sCV+r3cdONZEkuw11bgMzEIjc+4/BYYjRNEv7ONk32Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:09:01.418248Z"},"content_sha256":"d1ccdaf7a45831eca985b04fdcb2e54374e092234b4d0c15cb28b175e43797e8","schema_version":"1.0","event_id":"sha256:d1ccdaf7a45831eca985b04fdcb2e54374e092234b4d0c15cb28b175e43797e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/bundle.json","state_url":"https://pith.science/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/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":"2026-08-04T05:09:01Z","links":{"resolver":"https://pith.science/pith/RKCFWA46MM7TJFJRWGOULV3UJ6","bundle":"https://pith.science/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/bundle.json","state":"https://pith.science/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RKCFWA46MM7TJFJRWGOULV3UJ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RKCFWA46MM7TJFJRWGOULV3UJ6","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":"9ec8be57ed0de17a708d22dc83c12969c20253aa33b700579149bb9cf0f41735","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T10:47:08Z","title_canon_sha256":"00d97162dd9d44ee2dc1b118333928d1c4a2a779e295e5052cf50aaf770b72c6"},"schema_version":"1.0","source":{"id":"1711.06491","kind":"arxiv","version":18}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06491","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06491v18","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06491","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_12","alias_value":"RKCFWA46MM7T","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_16","alias_value":"RKCFWA46MM7TJFJR","created_at":"2026-07-05T00:55:43Z"},{"alias_kind":"pith_short_8","alias_value":"RKCFWA46","created_at":"2026-07-05T00:55:43Z"}],"graph_snapshots":[{"event_id":"sha256:d1ccdaf7a45831eca985b04fdcb2e54374e092234b4d0c15cb28b175e43797e8","target":"graph","created_at":"2026-07-05T00:55:43Z","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/1711.06491/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative Adversarial Networks (GANs) [Goodfellow et al. 2014] convergence in a high-resolution setting with a computational constrain of GPU memory capacity has been beset with difficulty due to the known lack of convergence rate stability. In order to boost network convergence of DCGAN (Deep Convolutional Generative Adversarial Networks) [Radford et al. 2016] and achieve good-looking high-resolution results we propose a new layered network, HDCGAN, that incorporates current state-of-the-art techniques for this effect. Glasses, a mechanism to arbitrarily improve the final GAN generated resul","authors_text":"Fernando De la Torre, I. C. Zarza, Irwin King, J. D. Curt\\'o, Michael R. Lyu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T10:47:08Z","title":"High-resolution Deep Convolutional Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06491","kind":"arxiv","version":18},"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:da507fb250ff0003bffd27218da2178cb42c70866954cb1dc8e6538e404b3d27","target":"record","created_at":"2026-07-05T00:55:43Z","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":"9ec8be57ed0de17a708d22dc83c12969c20253aa33b700579149bb9cf0f41735","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T10:47:08Z","title_canon_sha256":"00d97162dd9d44ee2dc1b118333928d1c4a2a779e295e5052cf50aaf770b72c6"},"schema_version":"1.0","source":{"id":"1711.06491","kind":"arxiv","version":18}},"canonical_sha256":"8a845b039e633f349531b19d45d7744fbd5b63296b053d1f4604d4972d10a225","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a845b039e633f349531b19d45d7744fbd5b63296b053d1f4604d4972d10a225","first_computed_at":"2026-07-05T00:55:43.101125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:55:43.101125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tasQNqoDfQcH2sXp4MXZTUSFXNMVYn+ByE/P7wzd9Ek0wOC6vzZpH6YAMSpmtmq3jSK7YgnorAYDnpyJZQ8FDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:55:43.101663Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.06491","source_kind":"arxiv","source_version":18}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da507fb250ff0003bffd27218da2178cb42c70866954cb1dc8e6538e404b3d27","sha256:d1ccdaf7a45831eca985b04fdcb2e54374e092234b4d0c15cb28b175e43797e8"],"state_sha256":"deb4ea1fefac69fec13c898d358d49f93102f7d7259235f3e7f47b048c37512f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xadw59f9IM3IlfAVATD7zvHY7verA1zzU6H/sahhKiNTNs00Mk592nFbKGHMd6T5XiAy3QcTv0h8U7pvjmOVAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T05:09:01.425876Z","bundle_sha256":"c27bd1b7342a915c0f560a513f13e5ee48257689e776ea8ffe6c4d25900a8563"}}