{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DO7BA5DPXL6JN4ECBOVCSMBJDP","short_pith_number":"pith:DO7BA5DP","canonical_record":{"source":{"id":"1804.03343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-10T05:28:00Z","cross_cats_sorted":[],"title_canon_sha256":"ff635ec71b470ec2e84e6ae6a4285244b8dc43e5c7b4c56de6debab8f0355fef","abstract_canon_sha256":"c8cfa125db1f1b92f9b11d84c83d14882f3db46f8891168908d8de5bc8b43d6a"},"schema_version":"1.0"},"canonical_sha256":"1bbe10746fbafc96f0820baa2930291bcdd3dfb0d2a7e7553682225d19eae50c","source":{"kind":"arxiv","id":"1804.03343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.03343","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"arxiv_version","alias_value":"1804.03343v1","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.03343","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"pith_short_12","alias_value":"DO7BA5DPXL6J","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DO7BA5DPXL6JN4EC","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DO7BA5DP","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DO7BA5DPXL6JN4ECBOVCSMBJDP","target":"record","payload":{"canonical_record":{"source":{"id":"1804.03343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-10T05:28:00Z","cross_cats_sorted":[],"title_canon_sha256":"ff635ec71b470ec2e84e6ae6a4285244b8dc43e5c7b4c56de6debab8f0355fef","abstract_canon_sha256":"c8cfa125db1f1b92f9b11d84c83d14882f3db46f8891168908d8de5bc8b43d6a"},"schema_version":"1.0"},"canonical_sha256":"1bbe10746fbafc96f0820baa2930291bcdd3dfb0d2a7e7553682225d19eae50c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:56.344721Z","signature_b64":"7nG00ofJnUKYOobwz9RdTvCnVqWzJJvYu5EutXKuswrz61ZfOCK2UhsH44UH/Z18bqB3wzc/1eL9+Bwd6Y5FCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bbe10746fbafc96f0820baa2930291bcdd3dfb0d2a7e7553682225d19eae50c","last_reissued_at":"2026-05-18T00:18:56.344286Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:56.344286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.03343","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":"2026-05-18T00:18:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGaDOuU4FWAwSkPkkOi4Uciezs8WzKsUZ7vNeMLWCvjhsR2on6uuL049Fs1Zk3btcw+LhFPr6p0To3BmCvNvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:50:18.877822Z"},"content_sha256":"3906ada14c1a9cceb0f7338fa7512d49ea301b5c345c256a65afdbd1a0b9a847","schema_version":"1.0","event_id":"sha256:3906ada14c1a9cceb0f7338fa7512d49ea301b5c345c256a65afdbd1a0b9a847"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DO7BA5DPXL6JN4ECBOVCSMBJDP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modular Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Chang, Bo Zhao, Leonid Sigal, Zequn Jie","submitted_at":"2018-04-10T05:28:00Z","abstract_excerpt":"Existing methods for multi-domain image-to-image translation (or generation) attempt to directly map an input image (or a random vector) to an image in one of the output domains. However, most existing methods have limited scalability and robustness, since they require building independent models for each pair of domains in question. This leads to two significant shortcomings: (1) the need to train exponential number of pairwise models, and (2) the inability to leverage data from other domains when training a particular pairwise mapping. Inspired by recent work on module networks, this paper p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.03343","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":"2026-05-18T00:18:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zm2jtDzjTgxYL5+ojfTV6e/aZgh8NCvADbmMvkYwskQMliL9/dwGWTCjQ+L1bQUPlayrM5ezsJ8Io+0FUEgOAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:50:18.878156Z"},"content_sha256":"01137f1a6f11561013e371f3acda1a38104e3700b279d3f78fd1ca97aca9b216","schema_version":"1.0","event_id":"sha256:01137f1a6f11561013e371f3acda1a38104e3700b279d3f78fd1ca97aca9b216"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/bundle.json","state_url":"https://pith.science/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/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":"2026-05-28T00:50:18Z","links":{"resolver":"https://pith.science/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP","bundle":"https://pith.science/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/bundle.json","state":"https://pith.science/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DO7BA5DPXL6JN4ECBOVCSMBJDP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DO7BA5DPXL6JN4ECBOVCSMBJDP","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":"c8cfa125db1f1b92f9b11d84c83d14882f3db46f8891168908d8de5bc8b43d6a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-10T05:28:00Z","title_canon_sha256":"ff635ec71b470ec2e84e6ae6a4285244b8dc43e5c7b4c56de6debab8f0355fef"},"schema_version":"1.0","source":{"id":"1804.03343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.03343","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"arxiv_version","alias_value":"1804.03343v1","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.03343","created_at":"2026-05-18T00:18:56Z"},{"alias_kind":"pith_short_12","alias_value":"DO7BA5DPXL6J","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DO7BA5DPXL6JN4EC","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DO7BA5DP","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:01137f1a6f11561013e371f3acda1a38104e3700b279d3f78fd1ca97aca9b216","target":"graph","created_at":"2026-05-18T00:18:56Z","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":"Existing methods for multi-domain image-to-image translation (or generation) attempt to directly map an input image (or a random vector) to an image in one of the output domains. However, most existing methods have limited scalability and robustness, since they require building independent models for each pair of domains in question. This leads to two significant shortcomings: (1) the need to train exponential number of pairwise models, and (2) the inability to leverage data from other domains when training a particular pairwise mapping. Inspired by recent work on module networks, this paper p","authors_text":"Bo Chang, Bo Zhao, Leonid Sigal, Zequn Jie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-10T05:28:00Z","title":"Modular Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.03343","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":"sha256:3906ada14c1a9cceb0f7338fa7512d49ea301b5c345c256a65afdbd1a0b9a847","target":"record","created_at":"2026-05-18T00:18:56Z","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":"c8cfa125db1f1b92f9b11d84c83d14882f3db46f8891168908d8de5bc8b43d6a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-10T05:28:00Z","title_canon_sha256":"ff635ec71b470ec2e84e6ae6a4285244b8dc43e5c7b4c56de6debab8f0355fef"},"schema_version":"1.0","source":{"id":"1804.03343","kind":"arxiv","version":1}},"canonical_sha256":"1bbe10746fbafc96f0820baa2930291bcdd3dfb0d2a7e7553682225d19eae50c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bbe10746fbafc96f0820baa2930291bcdd3dfb0d2a7e7553682225d19eae50c","first_computed_at":"2026-05-18T00:18:56.344286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:56.344286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7nG00ofJnUKYOobwz9RdTvCnVqWzJJvYu5EutXKuswrz61ZfOCK2UhsH44UH/Z18bqB3wzc/1eL9+Bwd6Y5FCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:56.344721Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.03343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3906ada14c1a9cceb0f7338fa7512d49ea301b5c345c256a65afdbd1a0b9a847","sha256:01137f1a6f11561013e371f3acda1a38104e3700b279d3f78fd1ca97aca9b216"],"state_sha256":"c62fa7a17cb36a64d672b5bd27aa8d88e23949c016a3bf21d3c4da218e564532"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gC/pfNubb6hwLRG+mfWjKs3Y6HjPo15YRZdgksuEotIQCY3T+tWes/gMyeiMoZ7g91a9rBmJCscUatgeWy3YAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T00:50:18.879935Z","bundle_sha256":"7536e2008fb10a0e527f0d576238701a0dfbdfd5b0398e9f55724091e5fe61a6"}}