{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:R4BUPKD4KWTSFVND3E5EH7HIN6","short_pith_number":"pith:R4BUPKD4","canonical_record":{"source":{"id":"2508.14933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-19T20:21:02Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8dde73ff6c1444b1d7a3a3e6995bb825f136300b594ec8ebf87881bbb461f74c","abstract_canon_sha256":"f22187fefec0ddad75af15788db0321742e27385a0918bcb2768f3761b3a561f"},"schema_version":"1.0"},"canonical_sha256":"8f0347a87c55a722d5a3d93a43fce86f9b702d17158cdaf2065726324a2f9369","source":{"kind":"arxiv","id":"2508.14933","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14933","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14933v1","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14933","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_12","alias_value":"R4BUPKD4KWTS","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_16","alias_value":"R4BUPKD4KWTSFVND","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_8","alias_value":"R4BUPKD4","created_at":"2026-07-05T11:57:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:R4BUPKD4KWTSFVND3E5EH7HIN6","target":"record","payload":{"canonical_record":{"source":{"id":"2508.14933","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-19T20:21:02Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8dde73ff6c1444b1d7a3a3e6995bb825f136300b594ec8ebf87881bbb461f74c","abstract_canon_sha256":"f22187fefec0ddad75af15788db0321742e27385a0918bcb2768f3761b3a561f"},"schema_version":"1.0"},"canonical_sha256":"8f0347a87c55a722d5a3d93a43fce86f9b702d17158cdaf2065726324a2f9369","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:03.750751Z","signature_b64":"Ygx4YpyTVF/QZcrxnZ/oEhBwKJQs3rQe8K52wSU+ekpxj3+Qxj5b/mRrOSF5CKFJlpcpON+n0ffA7213yXuhDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f0347a87c55a722d5a3d93a43fce86f9b702d17158cdaf2065726324a2f9369","last_reissued_at":"2026-07-05T11:57:03.750300Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:03.750300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.14933","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":"2026-07-05T11:57:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OuLsxqep+etIPmmkza7i+BseMBXzSz4f2EOokZ6nV/yYvdLEyl3ES+amjFu2Ql2nkfBSCCQl/GCWECyNvdDJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:31:11.138864Z"},"content_sha256":"528d8980c9978abb2d6bc662ed67c20b0eeaf012951a9badd574937ba9b80896","schema_version":"1.0","event_id":"sha256:528d8980c9978abb2d6bc662ed67c20b0eeaf012951a9badd574937ba9b80896"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:R4BUPKD4KWTSFVND3E5EH7HIN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inference Time Debiasing Concepts in Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.GR","authors_text":"Jordan Kopper, Lucas S. Kupssinsk\\\"u, Marco N. Bochernitsan, Ot\\'avio Parraga, Rodrigo C. Barros","submitted_at":"2025-08-19T20:21:02Z","abstract_excerpt":"We propose DeCoDi, a debiasing procedure for text-to-image diffusion-based models that changes the inference procedure, does not significantly change image quality, has negligible compute overhead, and can be applied in any diffusion-based image generation model. DeCoDi changes the diffusion process to avoid latent dimension regions of biased concepts. While most deep learning debiasing methods require complex or compute-intensive interventions, our method is designed to change only the inference procedure. Therefore, it is more accessible to a wide range of practitioners. We show the effectiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14933","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/2508.14933/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":"2026-07-05T11:57:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ynv2v1ixy7FcUYn+/uGgFsUSmiRGAYKBekxnUtAMEw69PFnpt42/FFdq8Xl/3JTH6frCdF7m+LGPynDuqggQDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:31:11.139361Z"},"content_sha256":"28c011bb984f725dd1ddd454ea682eb99f8f1620b627e75a598e8baa444dc6e7","schema_version":"1.0","event_id":"sha256:28c011bb984f725dd1ddd454ea682eb99f8f1620b627e75a598e8baa444dc6e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/bundle.json","state_url":"https://pith.science/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/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":"2026-08-09T05:31:11Z","links":{"resolver":"https://pith.science/pith/R4BUPKD4KWTSFVND3E5EH7HIN6","bundle":"https://pith.science/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/bundle.json","state":"https://pith.science/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R4BUPKD4KWTSFVND3E5EH7HIN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R4BUPKD4KWTSFVND3E5EH7HIN6","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":"f22187fefec0ddad75af15788db0321742e27385a0918bcb2768f3761b3a561f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-19T20:21:02Z","title_canon_sha256":"8dde73ff6c1444b1d7a3a3e6995bb825f136300b594ec8ebf87881bbb461f74c"},"schema_version":"1.0","source":{"id":"2508.14933","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14933","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14933v1","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14933","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_12","alias_value":"R4BUPKD4KWTS","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_16","alias_value":"R4BUPKD4KWTSFVND","created_at":"2026-07-05T11:57:03Z"},{"alias_kind":"pith_short_8","alias_value":"R4BUPKD4","created_at":"2026-07-05T11:57:03Z"}],"graph_snapshots":[{"event_id":"sha256:28c011bb984f725dd1ddd454ea682eb99f8f1620b627e75a598e8baa444dc6e7","target":"graph","created_at":"2026-07-05T11:57:03Z","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/2508.14933/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose DeCoDi, a debiasing procedure for text-to-image diffusion-based models that changes the inference procedure, does not significantly change image quality, has negligible compute overhead, and can be applied in any diffusion-based image generation model. DeCoDi changes the diffusion process to avoid latent dimension regions of biased concepts. While most deep learning debiasing methods require complex or compute-intensive interventions, our method is designed to change only the inference procedure. Therefore, it is more accessible to a wide range of practitioners. We show the effectiv","authors_text":"Jordan Kopper, Lucas S. Kupssinsk\\\"u, Marco N. Bochernitsan, Ot\\'avio Parraga, Rodrigo C. Barros","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-19T20:21:02Z","title":"Inference Time Debiasing Concepts in Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14933","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":"sha256:528d8980c9978abb2d6bc662ed67c20b0eeaf012951a9badd574937ba9b80896","target":"record","created_at":"2026-07-05T11:57:03Z","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":"f22187fefec0ddad75af15788db0321742e27385a0918bcb2768f3761b3a561f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-19T20:21:02Z","title_canon_sha256":"8dde73ff6c1444b1d7a3a3e6995bb825f136300b594ec8ebf87881bbb461f74c"},"schema_version":"1.0","source":{"id":"2508.14933","kind":"arxiv","version":1}},"canonical_sha256":"8f0347a87c55a722d5a3d93a43fce86f9b702d17158cdaf2065726324a2f9369","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f0347a87c55a722d5a3d93a43fce86f9b702d17158cdaf2065726324a2f9369","first_computed_at":"2026-07-05T11:57:03.750300Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:03.750300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ygx4YpyTVF/QZcrxnZ/oEhBwKJQs3rQe8K52wSU+ekpxj3+Qxj5b/mRrOSF5CKFJlpcpON+n0ffA7213yXuhDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:03.750751Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.14933","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:528d8980c9978abb2d6bc662ed67c20b0eeaf012951a9badd574937ba9b80896","sha256:28c011bb984f725dd1ddd454ea682eb99f8f1620b627e75a598e8baa444dc6e7"],"state_sha256":"fbe85f7f23f7c946b4083887d766543955ca7d2333a6378950dea5f4fb99397b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TkvdvX+s1hIekKmTAYwEX8H30uBomG28mthELgNAVZPMwWVUaaOv8EkTbv10tRqqiEt+BvwSOVRtBCkiPv2NDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:31:11.143636Z","bundle_sha256":"67ec13f55374f2a0f0563b749afcc94be94750ed97b59208409af13f434f54df"}}