{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WCTY47T7UX26ZZ45BBF4LKFILP","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":"a19ace8d8efe0ab162133a21458768f73b9510ab5b6656c65605e123fac04b4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T14:19:59Z","title_canon_sha256":"089fb3aee33972532da06d4f03649d755ed022a043e70282b88db9549dbecb0c"},"schema_version":"1.0","source":{"id":"2605.25892","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25892","created_at":"2026-05-26T02:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25892v1","created_at":"2026-05-26T02:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25892","created_at":"2026-05-26T02:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"WCTY47T7UX26","created_at":"2026-05-26T02:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"WCTY47T7UX26ZZ45","created_at":"2026-05-26T02:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"WCTY47T7","created_at":"2026-05-26T02:05:17Z"}],"graph_snapshots":[{"event_id":"sha256:21dc2287450bac2f541620da0ef6d86356b41d4e46a4e1c818d52aaf22c4b239","target":"graph","created_at":"2026-05-26T02:05:17Z","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/2605.25892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State space models (SSMs) have emerged as a powerful paradigm for efficient single-image super-resolution (SR) due to their linear complexity and long-range modeling capabilities. However, existing Mamba-based methods typically rely on data-agnostic rigid scanning, which reshapes 2D images into 1D sequences over a fixed grid, inevitably disrupting spatial-semantic topology and introducing artifacts. Inspired by the \\textbf{Gestalt perceptual grouping theory}, we propose \\textbf{SP-MoMamba}, a superpixel-driven mixture of state space experts designed for content-aware SR. Our core idea is to tr","authors_text":"Guanbin Li, Huiping Zhuang, Jinshan Pan, Lap-Pui Chau, Liang Chen, Wenbin Zou, Yawen Cui, Yi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T14:19:59Z","title":"SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25892","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":"sha256:9aeb38456fc42bdc932fc770979d08900e7df5e7c6b019d0ed18111ca0aa13d7","target":"record","created_at":"2026-05-26T02:05:17Z","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":"a19ace8d8efe0ab162133a21458768f73b9510ab5b6656c65605e123fac04b4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T14:19:59Z","title_canon_sha256":"089fb3aee33972532da06d4f03649d755ed022a043e70282b88db9549dbecb0c"},"schema_version":"1.0","source":{"id":"2605.25892","kind":"arxiv","version":1}},"canonical_sha256":"b0a78e7e7fa5f5ece79d084bc5a8a85bc4f2f1267cf02242e4567d00e4cfb345","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0a78e7e7fa5f5ece79d084bc5a8a85bc4f2f1267cf02242e4567d00e4cfb345","first_computed_at":"2026-05-26T02:05:17.192722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:17.192722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CS5x5q35goGpGS7gu0Jrebd5ELM9lIzYOAQFy0cF9tOfmYAQ+kvXoSdS86HlHrd9OhYeiiv5IuLzKoRI5TvrDA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:17.193310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25892","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9aeb38456fc42bdc932fc770979d08900e7df5e7c6b019d0ed18111ca0aa13d7","sha256:21dc2287450bac2f541620da0ef6d86356b41d4e46a4e1c818d52aaf22c4b239"],"state_sha256":"d86c5299fd4460f7ea9cc9b67793ba052f38cedcd4e298b62ef77ee1db6a2471"}