{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CTUZUWTLLFI2RT23M5PTBTDPRP","short_pith_number":"pith:CTUZUWTL","canonical_record":{"source":{"id":"2602.17200","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-19T09:41:32Z","cross_cats_sorted":[],"title_canon_sha256":"03875231ae85c557003fb3f436db01b2c2cb91a8cd393f260619a529e0e93403","abstract_canon_sha256":"df437ea551477c220fea00daab100d7ac32781379330dd47688bebbcfb2cecd3"},"schema_version":"1.0"},"canonical_sha256":"14e99a5a6b5951a8cf5b675f30cc6f8bfdef8682cabaf57b1e1e92882a1b11e8","source":{"kind":"arxiv","id":"2602.17200","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17200","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17200v2","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17200","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_12","alias_value":"CTUZUWTLLFI2","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_16","alias_value":"CTUZUWTLLFI2RT23","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_8","alias_value":"CTUZUWTL","created_at":"2026-05-29T01:05:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CTUZUWTLLFI2RT23M5PTBTDPRP","target":"record","payload":{"canonical_record":{"source":{"id":"2602.17200","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-19T09:41:32Z","cross_cats_sorted":[],"title_canon_sha256":"03875231ae85c557003fb3f436db01b2c2cb91a8cd393f260619a529e0e93403","abstract_canon_sha256":"df437ea551477c220fea00daab100d7ac32781379330dd47688bebbcfb2cecd3"},"schema_version":"1.0"},"canonical_sha256":"14e99a5a6b5951a8cf5b675f30cc6f8bfdef8682cabaf57b1e1e92882a1b11e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:05.247915Z","signature_b64":"afIYEksoDExo4NO6hal2wgvpL08Mbw0fwjsTqWhjLJte1FFlnpqsZEzCtDdeY39E/AhT4+TqlU6fop80QLHODw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14e99a5a6b5951a8cf5b675f30cc6f8bfdef8682cabaf57b1e1e92882a1b11e8","last_reissued_at":"2026-05-29T01:05:05.246962Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:05.246962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.17200","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":"2026-05-29T01:05:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"26OyBV6eSWD4d0DqQvJsG4OYdLbj0mfnbtJ2lYSyWrZCTb6mVeKcNtW/QPArH3L8p0skVhscP5B0EUmX9FbmDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:22:13.113984Z"},"content_sha256":"5e8244d3cccaa65c3f383aaa38ff0b62be63ef1382a887bbacbc822a881515e9","schema_version":"1.0","event_id":"sha256:5e8244d3cccaa65c3f383aaa38ff0b62be63ef1382a887bbacbc822a881515e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CTUZUWTLLFI2RT23M5PTBTDPRP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adriana Romero-Soriano, Johannes F. Lutzeyer, Kaleb S. Newman, Michal Drozdzal, Olga Russakovsky, Ye Zhu","submitted_at":"2026-02-19T09:41:32Z","abstract_excerpt":"Despite high semantic alignment, modern text-to-image (T2I) generative models still struggle to synthesize diverse images from a given prompt. In this work, we enhance the T2I diversity through a geometric lens. Unlike most existing methods that rely primarily on entropy-based guidance to increase sample dissimilarity, we introduce Geometry-Aware Spherical Sampling (GASS) to enhance diversity by explicitly controlling both prompt-dependent and prompt-independent sources of variation. Specifically, we decompose the diversity measure in CLIP embeddings using two orthogonal directions: the text e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17200","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/2602.17200/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":"2026-05-29T01:05:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CtnQA0/Xi8y0C0rnw56TcQJ3L16J8lyEqLYGYMovvhVincykOcua4VHDqWPJQkZfiMPZnxMhJG9udQXX/O8RDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:22:13.114783Z"},"content_sha256":"0e576bebf9c3ae23009436e0ce6f11260705b89cb843615b42f0897e82265494","schema_version":"1.0","event_id":"sha256:0e576bebf9c3ae23009436e0ce6f11260705b89cb843615b42f0897e82265494"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/bundle.json","state_url":"https://pith.science/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/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":"2026-05-31T11:22:13Z","links":{"resolver":"https://pith.science/pith/CTUZUWTLLFI2RT23M5PTBTDPRP","bundle":"https://pith.science/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/bundle.json","state":"https://pith.science/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CTUZUWTLLFI2RT23M5PTBTDPRP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CTUZUWTLLFI2RT23M5PTBTDPRP","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":"df437ea551477c220fea00daab100d7ac32781379330dd47688bebbcfb2cecd3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-19T09:41:32Z","title_canon_sha256":"03875231ae85c557003fb3f436db01b2c2cb91a8cd393f260619a529e0e93403"},"schema_version":"1.0","source":{"id":"2602.17200","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17200","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17200v2","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17200","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_12","alias_value":"CTUZUWTLLFI2","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_16","alias_value":"CTUZUWTLLFI2RT23","created_at":"2026-05-29T01:05:05Z"},{"alias_kind":"pith_short_8","alias_value":"CTUZUWTL","created_at":"2026-05-29T01:05:05Z"}],"graph_snapshots":[{"event_id":"sha256:0e576bebf9c3ae23009436e0ce6f11260705b89cb843615b42f0897e82265494","target":"graph","created_at":"2026-05-29T01:05:05Z","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/2602.17200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite high semantic alignment, modern text-to-image (T2I) generative models still struggle to synthesize diverse images from a given prompt. In this work, we enhance the T2I diversity through a geometric lens. Unlike most existing methods that rely primarily on entropy-based guidance to increase sample dissimilarity, we introduce Geometry-Aware Spherical Sampling (GASS) to enhance diversity by explicitly controlling both prompt-dependent and prompt-independent sources of variation. Specifically, we decompose the diversity measure in CLIP embeddings using two orthogonal directions: the text e","authors_text":"Adriana Romero-Soriano, Johannes F. Lutzeyer, Kaleb S. Newman, Michal Drozdzal, Olga Russakovsky, Ye Zhu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-19T09:41:32Z","title":"GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17200","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":"sha256:5e8244d3cccaa65c3f383aaa38ff0b62be63ef1382a887bbacbc822a881515e9","target":"record","created_at":"2026-05-29T01:05:05Z","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":"df437ea551477c220fea00daab100d7ac32781379330dd47688bebbcfb2cecd3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-19T09:41:32Z","title_canon_sha256":"03875231ae85c557003fb3f436db01b2c2cb91a8cd393f260619a529e0e93403"},"schema_version":"1.0","source":{"id":"2602.17200","kind":"arxiv","version":2}},"canonical_sha256":"14e99a5a6b5951a8cf5b675f30cc6f8bfdef8682cabaf57b1e1e92882a1b11e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14e99a5a6b5951a8cf5b675f30cc6f8bfdef8682cabaf57b1e1e92882a1b11e8","first_computed_at":"2026-05-29T01:05:05.246962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:05.246962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"afIYEksoDExo4NO6hal2wgvpL08Mbw0fwjsTqWhjLJte1FFlnpqsZEzCtDdeY39E/AhT4+TqlU6fop80QLHODw==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:05.247915Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.17200","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e8244d3cccaa65c3f383aaa38ff0b62be63ef1382a887bbacbc822a881515e9","sha256:0e576bebf9c3ae23009436e0ce6f11260705b89cb843615b42f0897e82265494"],"state_sha256":"9a8c9461b4952f4b66dd37950374758e02658d3b32f14b2b9b94e6b62290d1fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N4QXcsFfbhPxS2WK5k5ooqf9vcM4x8fMaoF6yTYdGCLn8VmiROXoHsc3I5j7o3FRI1KGM5eq8OtUUulVQB8aCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T11:22:13.118577Z","bundle_sha256":"87e694c0de87b3ce24acbd31c6e69a38c8fece83105fece3e300976b7d53dae6"}}