{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HWJ6AUSSWR463U6YKXPF4TGSBB","short_pith_number":"pith:HWJ6AUSS","canonical_record":{"source":{"id":"1808.04538","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T05:45:25Z","cross_cats_sorted":["cs.CL","cs.CV","stat.ML"],"title_canon_sha256":"6610914cb1e5547aa2ff58f9535903d91fd926c779e3afa6ba34c6a45ad8d947","abstract_canon_sha256":"f99e371fe6e3ab0229db627f685f5aa272dcdc7249ab802e0eebc615c1111286"},"schema_version":"1.0"},"canonical_sha256":"3d93e05252b479edd3d855de5e4cd2086e145a05b4561a633d26a6ba7c6abcbf","source":{"kind":"arxiv","id":"1808.04538","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.04538","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"arxiv_version","alias_value":"1808.04538v1","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.04538","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"pith_short_12","alias_value":"HWJ6AUSSWR46","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HWJ6AUSSWR463U6Y","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HWJ6AUSS","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HWJ6AUSSWR463U6YKXPF4TGSBB","target":"record","payload":{"canonical_record":{"source":{"id":"1808.04538","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T05:45:25Z","cross_cats_sorted":["cs.CL","cs.CV","stat.ML"],"title_canon_sha256":"6610914cb1e5547aa2ff58f9535903d91fd926c779e3afa6ba34c6a45ad8d947","abstract_canon_sha256":"f99e371fe6e3ab0229db627f685f5aa272dcdc7249ab802e0eebc615c1111286"},"schema_version":"1.0"},"canonical_sha256":"3d93e05252b479edd3d855de5e4cd2086e145a05b4561a633d26a6ba7c6abcbf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:12.238013Z","signature_b64":"Y5V0E6NwLECCyVyUoMn9x0KmAj2FmQxtJlUTcIBw0OQEwALaJHT4QcdIosNBrJW/3ZP7u1V2M0EpFdpxznoQAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d93e05252b479edd3d855de5e4cd2086e145a05b4561a633d26a6ba7c6abcbf","last_reissued_at":"2026-05-18T00:08:12.237633Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:12.237633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.04538","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":"2026-05-18T00:08:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhLsb5E4pAVs5TVCsjn3JQ2Q8W7R4ALn6oxAP1Ei2AlSt59JtP3RE6qMke+o5Grw4tVrEJ/0DD47R+zNkxq+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:04:39.624506Z"},"content_sha256":"8a3a3e011c4620ac8514e1407a4631af731519e8245083ac0fa169480502c206","schema_version":"1.0","event_id":"sha256:8a3a3e011c4620ac8514e1407a4631af731519e8245083ac0fa169480502c206"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HWJ6AUSSWR463U6YKXPF4TGSBB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jeremy Ma, Satya Krishna Gorti","submitted_at":"2018-08-14T05:45:25Z","abstract_excerpt":"Text-to-Image translation has been an active area of research in the recent past. The ability for a network to learn the meaning of a sentence and generate an accurate image that depicts the sentence shows ability of the model to think more like humans. Popular methods on text to image translation make use of Generative Adversarial Networks (GANs) to generate high quality images based on text input, but the generated images don't always reflect the meaning of the sentence given to the model as input. We address this issue by using a captioning network to caption on generated images and exploit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.04538","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":"2026-05-18T00:08:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"72ogq44r2wBeucSdXmhbHjKkAEQwpcmomuGxnfAgu5vVEja94shWhmQ7fVQTPXWrGOVO2rmYpdMv98SLBFFBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T05:04:39.625026Z"},"content_sha256":"3a0df97a8c4acc5e56d9e473e29e961fee80f1fe3ad5a9d88a8ae13d7291c009","schema_version":"1.0","event_id":"sha256:3a0df97a8c4acc5e56d9e473e29e961fee80f1fe3ad5a9d88a8ae13d7291c009"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/bundle.json","state_url":"https://pith.science/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/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":"2026-05-27T05:04:39Z","links":{"resolver":"https://pith.science/pith/HWJ6AUSSWR463U6YKXPF4TGSBB","bundle":"https://pith.science/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/bundle.json","state":"https://pith.science/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HWJ6AUSSWR463U6YKXPF4TGSBB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HWJ6AUSSWR463U6YKXPF4TGSBB","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":"f99e371fe6e3ab0229db627f685f5aa272dcdc7249ab802e0eebc615c1111286","cross_cats_sorted":["cs.CL","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T05:45:25Z","title_canon_sha256":"6610914cb1e5547aa2ff58f9535903d91fd926c779e3afa6ba34c6a45ad8d947"},"schema_version":"1.0","source":{"id":"1808.04538","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.04538","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"arxiv_version","alias_value":"1808.04538v1","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.04538","created_at":"2026-05-18T00:08:12Z"},{"alias_kind":"pith_short_12","alias_value":"HWJ6AUSSWR46","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HWJ6AUSSWR463U6Y","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HWJ6AUSS","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:3a0df97a8c4acc5e56d9e473e29e961fee80f1fe3ad5a9d88a8ae13d7291c009","target":"graph","created_at":"2026-05-18T00:08:12Z","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":"Text-to-Image translation has been an active area of research in the recent past. The ability for a network to learn the meaning of a sentence and generate an accurate image that depicts the sentence shows ability of the model to think more like humans. Popular methods on text to image translation make use of Generative Adversarial Networks (GANs) to generate high quality images based on text input, but the generated images don't always reflect the meaning of the sentence given to the model as input. We address this issue by using a captioning network to caption on generated images and exploit","authors_text":"Jeremy Ma, Satya Krishna Gorti","cross_cats":["cs.CL","cs.CV","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T05:45:25Z","title":"Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.04538","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":"sha256:8a3a3e011c4620ac8514e1407a4631af731519e8245083ac0fa169480502c206","target":"record","created_at":"2026-05-18T00:08:12Z","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":"f99e371fe6e3ab0229db627f685f5aa272dcdc7249ab802e0eebc615c1111286","cross_cats_sorted":["cs.CL","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-08-14T05:45:25Z","title_canon_sha256":"6610914cb1e5547aa2ff58f9535903d91fd926c779e3afa6ba34c6a45ad8d947"},"schema_version":"1.0","source":{"id":"1808.04538","kind":"arxiv","version":1}},"canonical_sha256":"3d93e05252b479edd3d855de5e4cd2086e145a05b4561a633d26a6ba7c6abcbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d93e05252b479edd3d855de5e4cd2086e145a05b4561a633d26a6ba7c6abcbf","first_computed_at":"2026-05-18T00:08:12.237633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:12.237633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y5V0E6NwLECCyVyUoMn9x0KmAj2FmQxtJlUTcIBw0OQEwALaJHT4QcdIosNBrJW/3ZP7u1V2M0EpFdpxznoQAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:12.238013Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.04538","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a3a3e011c4620ac8514e1407a4631af731519e8245083ac0fa169480502c206","sha256:3a0df97a8c4acc5e56d9e473e29e961fee80f1fe3ad5a9d88a8ae13d7291c009"],"state_sha256":"9afa1a6f35e9643407db356ddbeacd9d0e8ec9020bea3b75b171f841f349d8d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JkFbY4rDoWKpAiTgUFLNi+oiBAlOZK5gvYZwZTn1NNRKxZVIpDgJCepLf8dKIX0joVqddzcJQMAFPiNBSZVHDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T05:04:39.628021Z","bundle_sha256":"333e6776e90b0cfb1a1916cc2ca99a06be621a6ff5d23c15a9e9a8c34bef3430"}}