{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EAA3LGJ3AQRSAGTQRZJEFGLLGV","short_pith_number":"pith:EAA3LGJ3","canonical_record":{"source":{"id":"2211.14286","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:41:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"119df400cf470c8964ca22a4f7aeb297f7fb78fb52cfdbcf59a580fe92aa2be7","abstract_canon_sha256":"b6469fa5ad5c5cdf007d68564b16adbc9fda37588dd5f96a2b98551966584169"},"schema_version":"1.0"},"canonical_sha256":"2001b5993b0423201a708e5242996b3575bb419cba05848d7a40e026ddbe3316","source":{"kind":"arxiv","id":"2211.14286","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.14286","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"2211.14286v2","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14286","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"EAA3LGJ3AQRS","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"EAA3LGJ3AQRSAGTQ","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"EAA3LGJ3","created_at":"2026-07-05T05:38:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EAA3LGJ3AQRSAGTQRZJEFGLLGV","target":"record","payload":{"canonical_record":{"source":{"id":"2211.14286","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:41:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"119df400cf470c8964ca22a4f7aeb297f7fb78fb52cfdbcf59a580fe92aa2be7","abstract_canon_sha256":"b6469fa5ad5c5cdf007d68564b16adbc9fda37588dd5f96a2b98551966584169"},"schema_version":"1.0"},"canonical_sha256":"2001b5993b0423201a708e5242996b3575bb419cba05848d7a40e026ddbe3316","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:38:45.766250Z","signature_b64":"WrcZB5hB3SXxUdHG4GYIyS3wqTcD9QEsVKLrXOF4fC2jQo0K57zvoXcGF6PhGLrNTGiqZG1tTgYcJUNtsClaDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2001b5993b0423201a708e5242996b3575bb419cba05848d7a40e026ddbe3316","last_reissued_at":"2026-07-05T05:38:45.765859Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:38:45.765859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.14286","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hegnZOqK2WkxzoEXI2wsLlxwKBc7JwhoLAC+fIGweSYUcAvZ3AviqhWxGfcIJIXCs2vygsdMgqsS9lND+uCABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:27:56.723268Z"},"content_sha256":"d38ff563e3e504e2b147b1a76334ce63f903c54d608abd353bd03ebfee1279c7","schema_version":"1.0","event_id":"sha256:d38ff563e3e504e2b147b1a76334ce63f903c54d608abd353bd03ebfee1279c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EAA3LGJ3AQRSAGTQRZJEFGLLGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alireza Moazeni, Ke Li, Shichong Peng","submitted_at":"2022-11-25T18:41:44Z","abstract_excerpt":"A persistent challenge in conditional image synthesis has been to generate diverse output images from the same input image despite only one output image being observed per input image. GAN-based methods are prone to mode collapse, which leads to low diversity. To get around this, we leverage Implicit Maximum Likelihood Estimation (IMLE) which can overcome mode collapse fundamentally. IMLE uses the same generator as GANs but trains it with a different, non-adversarial objective which ensures each observed image has a generated sample nearby. Unfortunately, to generate high-fidelity images, prio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14286","kind":"arxiv","version":2},"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/2211.14286/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":"2026-07-05T05:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NSYkb744vmAaRN5LpXdllVtjPLBTALDv9agQ6/kKp1J0fMeDCxFJQIZFwLmjft3NRNu/MCjpbaItLPd237GOBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:27:56.723802Z"},"content_sha256":"b0541ffe63de475c36b210be5f2017797a364d83a916c237390b5274c89e3607","schema_version":"1.0","event_id":"sha256:b0541ffe63de475c36b210be5f2017797a364d83a916c237390b5274c89e3607"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/bundle.json","state_url":"https://pith.science/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/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":"2026-08-03T17:27:56Z","links":{"resolver":"https://pith.science/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV","bundle":"https://pith.science/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/bundle.json","state":"https://pith.science/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EAA3LGJ3AQRSAGTQRZJEFGLLGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EAA3LGJ3AQRSAGTQRZJEFGLLGV","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":"b6469fa5ad5c5cdf007d68564b16adbc9fda37588dd5f96a2b98551966584169","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:41:44Z","title_canon_sha256":"119df400cf470c8964ca22a4f7aeb297f7fb78fb52cfdbcf59a580fe92aa2be7"},"schema_version":"1.0","source":{"id":"2211.14286","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.14286","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"2211.14286v2","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14286","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"EAA3LGJ3AQRS","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"EAA3LGJ3AQRSAGTQ","created_at":"2026-07-05T05:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"EAA3LGJ3","created_at":"2026-07-05T05:38:45Z"}],"graph_snapshots":[{"event_id":"sha256:b0541ffe63de475c36b210be5f2017797a364d83a916c237390b5274c89e3607","target":"graph","created_at":"2026-07-05T05:38:45Z","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/2211.14286/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A persistent challenge in conditional image synthesis has been to generate diverse output images from the same input image despite only one output image being observed per input image. GAN-based methods are prone to mode collapse, which leads to low diversity. To get around this, we leverage Implicit Maximum Likelihood Estimation (IMLE) which can overcome mode collapse fundamentally. IMLE uses the same generator as GANs but trains it with a different, non-adversarial objective which ensures each observed image has a generated sample nearby. Unfortunately, to generate high-fidelity images, prio","authors_text":"Alireza Moazeni, Ke Li, Shichong Peng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:41:44Z","title":"CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14286","kind":"arxiv","version":2},"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:d38ff563e3e504e2b147b1a76334ce63f903c54d608abd353bd03ebfee1279c7","target":"record","created_at":"2026-07-05T05:38:45Z","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":"b6469fa5ad5c5cdf007d68564b16adbc9fda37588dd5f96a2b98551966584169","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:41:44Z","title_canon_sha256":"119df400cf470c8964ca22a4f7aeb297f7fb78fb52cfdbcf59a580fe92aa2be7"},"schema_version":"1.0","source":{"id":"2211.14286","kind":"arxiv","version":2}},"canonical_sha256":"2001b5993b0423201a708e5242996b3575bb419cba05848d7a40e026ddbe3316","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2001b5993b0423201a708e5242996b3575bb419cba05848d7a40e026ddbe3316","first_computed_at":"2026-07-05T05:38:45.765859Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:38:45.765859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WrcZB5hB3SXxUdHG4GYIyS3wqTcD9QEsVKLrXOF4fC2jQo0K57zvoXcGF6PhGLrNTGiqZG1tTgYcJUNtsClaDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:38:45.766250Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.14286","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d38ff563e3e504e2b147b1a76334ce63f903c54d608abd353bd03ebfee1279c7","sha256:b0541ffe63de475c36b210be5f2017797a364d83a916c237390b5274c89e3607"],"state_sha256":"5feb8ce437854075f90869919b823dc96e5379411f5a3126ec6cec05a6a90677"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CQej4nN20wskO/RF23DrsnZxe+8ddJf7PQSdw0n+CMn4h2el0NCaV5eawVtP4iSm3Cac5kXFRiusYh5MswJuAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:27:56.727108Z","bundle_sha256":"afd669bb20f2a849500089a73264453f6026e0cfb1f2ee5beb19251305db04ba"}}