{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:F5VO6HLYEW5JWGMNKND43QCRZS","short_pith_number":"pith:F5VO6HLY","canonical_record":{"source":{"id":"2112.01845","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-03T10:58:38Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"7c1cd0a9bff3b587a9516f5a2ef51c7e50a28ced4213dfad84fa3e1d22fcbaac","abstract_canon_sha256":"acc5c99774d42df37d5728d9603f45d51791b1f13b544ff1f829fc191ed886dc"},"schema_version":"1.0"},"canonical_sha256":"2f6aef1d7825ba9b198d5347cdc051cca8f1aa40ff9dea6e013a35fadc0da5c9","source":{"kind":"arxiv","id":"2112.01845","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.01845","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"arxiv_version","alias_value":"2112.01845v1","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.01845","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_12","alias_value":"F5VO6HLYEW5J","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_16","alias_value":"F5VO6HLYEW5JWGMN","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_8","alias_value":"F5VO6HLY","created_at":"2026-07-05T03:37:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:F5VO6HLYEW5JWGMNKND43QCRZS","target":"record","payload":{"canonical_record":{"source":{"id":"2112.01845","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-03T10:58:38Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"7c1cd0a9bff3b587a9516f5a2ef51c7e50a28ced4213dfad84fa3e1d22fcbaac","abstract_canon_sha256":"acc5c99774d42df37d5728d9603f45d51791b1f13b544ff1f829fc191ed886dc"},"schema_version":"1.0"},"canonical_sha256":"2f6aef1d7825ba9b198d5347cdc051cca8f1aa40ff9dea6e013a35fadc0da5c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:33.052484Z","signature_b64":"9E8DrfyCvNV2RE1usJHI4HKBa99N9feYsBi3SDVSgRK8TyXwtz0DPwAZfkaRQmt+QHupooW5D6jsIddAmsLrCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f6aef1d7825ba9b198d5347cdc051cca8f1aa40ff9dea6e013a35fadc0da5c9","last_reissued_at":"2026-07-05T03:37:33.052036Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:33.052036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.01845","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":"2026-07-05T03:37:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bbQ21JmkhxHxHQgUA0y4gVTlGT08xRQCtsf6vARhl0bug3klepAS7GHUlbs56P8Ak4v4Gxj9kjRnENDBG8+VBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T02:12:54.928757Z"},"content_sha256":"81ff9a6ca7acc8a68f5fb1a2f6171c63f3897d6de73e9d7405e5159b4add9b7b","schema_version":"1.0","event_id":"sha256:81ff9a6ca7acc8a68f5fb1a2f6171c63f3897d6de73e9d7405e5159b4add9b7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:F5VO6HLYEW5JWGMNKND43QCRZS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Map Injected GAN Training for Image-to-Image Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Balaram Singh Kshatriya, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Shiv Ram Dubey, Sunny Manchanda","submitted_at":"2021-12-03T10:58:38Z","abstract_excerpt":"Image-to-image translation is the recent trend to transform images from one domain to another domain using generative adversarial network (GAN). The existing GAN models perform the training by only utilizing the input and output modalities of transformation. In this paper, we perform the semantic injected training of GAN models. Specifically, we train with original input and output modalities and inject a few epochs of training for translation from input to semantic map. Lets refer the original training as the training for the translation of input image into target domain. The injection of sem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.01845","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/2112.01845/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":"2026-07-05T03:37:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFFA2SDTjT/QgkLKARCu9ADhfv9EehcZBa2n+qC0u0QG20uR0t4jnEhy27WkYEIIMzMN8Us65QuYvZ0AX+AIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T02:12:54.929136Z"},"content_sha256":"9fcc883ba093f5656b96531e97e20a9287f205355af137b15f1988bab38a8d57","schema_version":"1.0","event_id":"sha256:9fcc883ba093f5656b96531e97e20a9287f205355af137b15f1988bab38a8d57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F5VO6HLYEW5JWGMNKND43QCRZS/bundle.json","state_url":"https://pith.science/pith/F5VO6HLYEW5JWGMNKND43QCRZS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F5VO6HLYEW5JWGMNKND43QCRZS/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":"2026-07-08T02:12:54Z","links":{"resolver":"https://pith.science/pith/F5VO6HLYEW5JWGMNKND43QCRZS","bundle":"https://pith.science/pith/F5VO6HLYEW5JWGMNKND43QCRZS/bundle.json","state":"https://pith.science/pith/F5VO6HLYEW5JWGMNKND43QCRZS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F5VO6HLYEW5JWGMNKND43QCRZS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:F5VO6HLYEW5JWGMNKND43QCRZS","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":"acc5c99774d42df37d5728d9603f45d51791b1f13b544ff1f829fc191ed886dc","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-03T10:58:38Z","title_canon_sha256":"7c1cd0a9bff3b587a9516f5a2ef51c7e50a28ced4213dfad84fa3e1d22fcbaac"},"schema_version":"1.0","source":{"id":"2112.01845","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.01845","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"arxiv_version","alias_value":"2112.01845v1","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.01845","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_12","alias_value":"F5VO6HLYEW5J","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_16","alias_value":"F5VO6HLYEW5JWGMN","created_at":"2026-07-05T03:37:33Z"},{"alias_kind":"pith_short_8","alias_value":"F5VO6HLY","created_at":"2026-07-05T03:37:33Z"}],"graph_snapshots":[{"event_id":"sha256:9fcc883ba093f5656b96531e97e20a9287f205355af137b15f1988bab38a8d57","target":"graph","created_at":"2026-07-05T03:37:33Z","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/2112.01845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image-to-image translation is the recent trend to transform images from one domain to another domain using generative adversarial network (GAN). The existing GAN models perform the training by only utilizing the input and output modalities of transformation. In this paper, we perform the semantic injected training of GAN models. Specifically, we train with original input and output modalities and inject a few epochs of training for translation from input to semantic map. Lets refer the original training as the training for the translation of input image into target domain. The injection of sem","authors_text":"Balaram Singh Kshatriya, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Shiv Ram Dubey, Sunny Manchanda","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-03T10:58:38Z","title":"Semantic Map Injected GAN Training for Image-to-Image Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.01845","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":"sha256:81ff9a6ca7acc8a68f5fb1a2f6171c63f3897d6de73e9d7405e5159b4add9b7b","target":"record","created_at":"2026-07-05T03:37:33Z","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":"acc5c99774d42df37d5728d9603f45d51791b1f13b544ff1f829fc191ed886dc","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-03T10:58:38Z","title_canon_sha256":"7c1cd0a9bff3b587a9516f5a2ef51c7e50a28ced4213dfad84fa3e1d22fcbaac"},"schema_version":"1.0","source":{"id":"2112.01845","kind":"arxiv","version":1}},"canonical_sha256":"2f6aef1d7825ba9b198d5347cdc051cca8f1aa40ff9dea6e013a35fadc0da5c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f6aef1d7825ba9b198d5347cdc051cca8f1aa40ff9dea6e013a35fadc0da5c9","first_computed_at":"2026-07-05T03:37:33.052036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:33.052036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9E8DrfyCvNV2RE1usJHI4HKBa99N9feYsBi3SDVSgRK8TyXwtz0DPwAZfkaRQmt+QHupooW5D6jsIddAmsLrCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:33.052484Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.01845","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81ff9a6ca7acc8a68f5fb1a2f6171c63f3897d6de73e9d7405e5159b4add9b7b","sha256:9fcc883ba093f5656b96531e97e20a9287f205355af137b15f1988bab38a8d57"],"state_sha256":"cf8868c104607a68cd74ddd24a0c1b2609fdbaf9cd175285e39d30915b522329"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kaFK8TOvf/UvllJbX9cC7CIxEcf1jHI07xjFTqCasanxJQtM+Bby0WYZeFMpM3HA2N1IUi0H1zaUZTChz21pDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T02:12:54.931556Z","bundle_sha256":"cecccacba2ec2ba1b27d7372d682aaa95cae2ab9668c5656ad0280e5e6a60024"}}