{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P357I44XEV4D7WUME4KYDF2UMQ","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":"f3f779f03a1a907f212af63ebc54c0f47e8d25aec6d5202e1ab9cb22c6206370","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-17T07:17:37Z","title_canon_sha256":"243c73095a92ae277b1893c289bfb7361037584c440e20c6062d51650651ba0d"},"schema_version":"1.0","source":{"id":"2502.11509","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11509","created_at":"2026-07-05T10:17:17Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11509v1","created_at":"2026-07-05T10:17:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11509","created_at":"2026-07-05T10:17:17Z"},{"alias_kind":"pith_short_12","alias_value":"P357I44XEV4D","created_at":"2026-07-05T10:17:17Z"},{"alias_kind":"pith_short_16","alias_value":"P357I44XEV4D7WUM","created_at":"2026-07-05T10:17:17Z"},{"alias_kind":"pith_short_8","alias_value":"P357I44X","created_at":"2026-07-05T10:17:17Z"}],"graph_snapshots":[{"event_id":"sha256:bb22d9a02671040c10592876de7c2922ca2805e1bf06a97c0c4540cdb73881b1","target":"graph","created_at":"2026-07-05T10:17:17Z","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/2502.11509/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating multiple counterfactual explanations for different modes within a class presents a significant challenge, as these modes are distinct yet converge under the same classification. Diffusion probabilistic models (DPMs) have demonstrated a strong ability to capture the underlying modes of data distributions. In this paper, we harness the power of a Diffusion Autoencoder to generate multiple distinct counterfactual explanations. By clustering in the latent space, we uncover the directions corresponding to the different modes within a class, enabling the generation of diverse and meaningf","authors_text":"Amit Sangroya, Lovekesh Vig, Suparshva Jain","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-17T07:17:37Z","title":"DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11509","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":"sha256:3a68b3c8716f7ec9cee3da3219e7548f3cab351b3a8d7069b0930a6c8ea025d8","target":"record","created_at":"2026-07-05T10:17:17Z","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":"f3f779f03a1a907f212af63ebc54c0f47e8d25aec6d5202e1ab9cb22c6206370","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-17T07:17:37Z","title_canon_sha256":"243c73095a92ae277b1893c289bfb7361037584c440e20c6062d51650651ba0d"},"schema_version":"1.0","source":{"id":"2502.11509","kind":"arxiv","version":1}},"canonical_sha256":"7efbf4739725783fda8c2715819754640420eb44e9061d04355a022078977cf8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7efbf4739725783fda8c2715819754640420eb44e9061d04355a022078977cf8","first_computed_at":"2026-07-05T10:17:17.755599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:17:17.755599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XgBSxCNqHGaiOUmgroizSSeHeBhKzLf7sAZw/bPogUuiaWqclHo1a1Dp82Z4bhFSU7gB+0aeCje5RMAFRGRkAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:17:17.756130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11509","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a68b3c8716f7ec9cee3da3219e7548f3cab351b3a8d7069b0930a6c8ea025d8","sha256:bb22d9a02671040c10592876de7c2922ca2805e1bf06a97c0c4540cdb73881b1"],"state_sha256":"7e19279f8e1ffa3d1d97a99207c63e4370161ef0bd55d7a5fecc08034ed5ebfa"}