{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JECON62UAQCRKTG6RC3P55LN4N","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":"5094756f6c9998ffd3965bc0bb932e31d7f90b9c082a98e645cd7616531eff50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T00:12:27Z","title_canon_sha256":"c3fb33754b6c2e52276cc99ce7bb6d311e99840af60321c813ba7158fe65f1c8"},"schema_version":"1.0","source":{"id":"2503.10687","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10687","created_at":"2026-07-05T10:31:03Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10687v1","created_at":"2026-07-05T10:31:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10687","created_at":"2026-07-05T10:31:03Z"},{"alias_kind":"pith_short_12","alias_value":"JECON62UAQCR","created_at":"2026-07-05T10:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"JECON62UAQCRKTG6","created_at":"2026-07-05T10:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"JECON62U","created_at":"2026-07-05T10:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:3e1e4d38afb3bf557a3830bf5d337ef8bcbc8881f18311257547cfd9a80af316","target":"graph","created_at":"2026-07-05T10:31:03Z","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/2503.10687/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative diffusion models offer a natural choice for data augmentation when training complex vision models. However, ensuring reliability of their generative content as augmentation samples remains an open challenge. Despite a number of techniques utilizing generative images to strengthen model training, it remains unclear how to utilize the combination of natural and generative images as a rich supervisory signal for effective model induction. In this regard, we propose a text-to-image (T2I) data augmentation method, named DiffCoRe-Mix, that computes a set of generative counterparts for a t","authors_text":"Khawar Islam, Naveed Akhtar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T00:12:27Z","title":"Context-guided Responsible Data Augmentation with Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10687","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":"sha256:919772704a4be944ae0dc5f7f0bf0cd5be95ffbd6aac06a18359e135f478fa4b","target":"record","created_at":"2026-07-05T10:31:03Z","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":"5094756f6c9998ffd3965bc0bb932e31d7f90b9c082a98e645cd7616531eff50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-12T00:12:27Z","title_canon_sha256":"c3fb33754b6c2e52276cc99ce7bb6d311e99840af60321c813ba7158fe65f1c8"},"schema_version":"1.0","source":{"id":"2503.10687","kind":"arxiv","version":1}},"canonical_sha256":"4904e6fb540405154cde88b6fef56de347056e1130376898b5112f0bc82ef7e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4904e6fb540405154cde88b6fef56de347056e1130376898b5112f0bc82ef7e8","first_computed_at":"2026-07-05T10:31:03.633360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:03.633360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7B9VjfcATKpi4UfTzF8v/W7/7EdjI7zxF3aYzsYt4Nufl09f9bcde8samSEN7ny9A8WcDFP47vC+c2N4D0JoDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:03.634333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10687","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:919772704a4be944ae0dc5f7f0bf0cd5be95ffbd6aac06a18359e135f478fa4b","sha256:3e1e4d38afb3bf557a3830bf5d337ef8bcbc8881f18311257547cfd9a80af316"],"state_sha256":"a43b2ad27a7095d8ad51ebaf9baf3a423086ae51151f8749d58ed440914d032f"}