{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:47KEQGKBEL5XNL3AY4IPJPR6F3","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":"3c7940f9c392f602fb49213b906c9b3d675b1fedb25d87abc81b13fb64cbfceb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-06T18:59:00Z","title_canon_sha256":"01b7ace1f2b85b156656d69ad791aabe57363756f3f1e2a42f20af7bd8359fee"},"schema_version":"1.0","source":{"id":"2502.04320","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04320","created_at":"2026-07-05T11:30:21Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04320v2","created_at":"2026-07-05T11:30:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04320","created_at":"2026-07-05T11:30:21Z"},{"alias_kind":"pith_short_12","alias_value":"47KEQGKBEL5X","created_at":"2026-07-05T11:30:21Z"},{"alias_kind":"pith_short_16","alias_value":"47KEQGKBEL5XNL3A","created_at":"2026-07-05T11:30:21Z"},{"alias_kind":"pith_short_8","alias_value":"47KEQGKB","created_at":"2026-07-05T11:30:21Z"}],"graph_snapshots":[{"event_id":"sha256:ef43e4bdfc498f3564b4d23770d639fe2ff489434b435c123981441e0970ead1","target":"graph","created_at":"2026-07-05T11:30:21Z","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/2502.04320/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Do the rich representations of multi-modal diffusion transformers (DiTs) exhibit unique properties that enhance their interpretability? We introduce ConceptAttention, a novel method that leverages the expressive power of DiT attention layers to generate high-quality saliency maps that precisely locate textual concepts within images. Without requiring additional training, ConceptAttention repurposes the parameters of DiT attention layers to produce highly contextualized concept embeddings, contributing the major discovery that performing linear projections in the output space of DiT attention l","authors_text":"Alec Helbling, Ben Hoover, Duen Horng Chau, Pinar Yanardag, Tuna Han Salih Meral","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-06T18:59:00Z","title":"ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04320","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":"sha256:444e73a9817ccac272bf966cdca3e8cdf06805cad0982f8b4e42115e863c4be6","target":"record","created_at":"2026-07-05T11:30:21Z","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":"3c7940f9c392f602fb49213b906c9b3d675b1fedb25d87abc81b13fb64cbfceb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-06T18:59:00Z","title_canon_sha256":"01b7ace1f2b85b156656d69ad791aabe57363756f3f1e2a42f20af7bd8359fee"},"schema_version":"1.0","source":{"id":"2502.04320","kind":"arxiv","version":2}},"canonical_sha256":"e7d448194122fb76af60c710f4be3e2efab7711df915b144039c977326b0ca96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7d448194122fb76af60c710f4be3e2efab7711df915b144039c977326b0ca96","first_computed_at":"2026-07-05T11:30:21.975685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:21.975685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jFly7L+o1gdnReEStLDrVda7Jv4pC7uzJQcGiqQL3OnuqSdaKPdIg/iBVzySkmBXabkKSZO3myYo+WPZp5EtAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:21.976296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04320","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:444e73a9817ccac272bf966cdca3e8cdf06805cad0982f8b4e42115e863c4be6","sha256:ef43e4bdfc498f3564b4d23770d639fe2ff489434b435c123981441e0970ead1"],"state_sha256":"7bbb49e68a337a40f323a92ebe76aac3fa93eca9d0496353ed02bf712bd20784"}