{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IPOPPPB4CIU7YF6PCO4LJXZM6W","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":"bf5861403f851b9dd9609eb036cf13be930eb9a0c89e570b4d08c279938619cd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-07T13:44:56Z","title_canon_sha256":"29e1dd567257226793dad345ddc2d60800df295f37cedf97a4a8e17ea8e01aa1"},"schema_version":"1.0","source":{"id":"2602.07544","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.07544","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"arxiv_version","alias_value":"2602.07544v2","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.07544","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_12","alias_value":"IPOPPPB4CIU7","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_16","alias_value":"IPOPPPB4CIU7YF6P","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_8","alias_value":"IPOPPPB4","created_at":"2026-06-19T16:11:20Z"}],"graph_snapshots":[{"event_id":"sha256:48a73b68b2d749c90737ada417f887fb60ee3bf951c062b64c01d394d3cf7c10","target":"graph","created_at":"2026-06-19T16:11:20Z","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/2602.07544/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised object-centric learning (OCL) decomposes visual scenes into distinct entities. Slot attention is a popular approach that represents individual objects as latent vectors, called slots. Current methods obtain these slot representations solely from the last layer of a pre-trained vision transformer (ViT), ignoring valuable, semantically rich information encoded across the other layers. To better utilize this latent semantic information, we introduce MUFASA, a lightweight plug-and-play framework for slot-attention-based approaches to unsupervised object segmentation. Our model compute","authors_text":"Krishnakant Singh, Leonie Sch\\\"u{\\ss}ler, Sebastian Bock, Simone Schaub-Meyer, Stefan Roth","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-07T13:44:56Z","title":"MUFASA: A Multi-Layer Framework for Slot Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.07544","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:a9e0934996f0110562cbb77df49c10ffab870e9d11f570cfe94aae71e514e5d9","target":"record","created_at":"2026-06-19T16:11:20Z","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":"bf5861403f851b9dd9609eb036cf13be930eb9a0c89e570b4d08c279938619cd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-07T13:44:56Z","title_canon_sha256":"29e1dd567257226793dad345ddc2d60800df295f37cedf97a4a8e17ea8e01aa1"},"schema_version":"1.0","source":{"id":"2602.07544","kind":"arxiv","version":2}},"canonical_sha256":"43dcf7bc3c1229fc17cf13b8b4df2cf596c15f91d8080d83f618a8dbdf3d705b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43dcf7bc3c1229fc17cf13b8b4df2cf596c15f91d8080d83f618a8dbdf3d705b","first_computed_at":"2026-06-19T16:11:20.691029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:20.691029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w2YPukOnVlxPOSvCLbIXXhi7zrEDsMsF3ivwx7NG4wQG09/QTm5JdpS3XKGjVsMN8xj/2TapOJmkzgaDaduyBA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:20.691438Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.07544","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9e0934996f0110562cbb77df49c10ffab870e9d11f570cfe94aae71e514e5d9","sha256:48a73b68b2d749c90737ada417f887fb60ee3bf951c062b64c01d394d3cf7c10"],"state_sha256":"129426b934a9117e049ebb539ffd09333ace9cb966ccd05279f606242941ef10"}