{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NZYPS2EZMOI2LU5HK7V7FP3STR","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":"76098898e7b66ce2a126fcd606dd9bb0b74b9114a63e96708f852d4e8ee3a639","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T18:30:08Z","title_canon_sha256":"a7dda0d0df2dc29058102556602b5ade0151a17c49a5fd5ec3165e4244cbdf75"},"schema_version":"1.0","source":{"id":"2411.18588","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18588","created_at":"2026-07-05T09:41:23Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18588v1","created_at":"2026-07-05T09:41:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18588","created_at":"2026-07-05T09:41:23Z"},{"alias_kind":"pith_short_12","alias_value":"NZYPS2EZMOI2","created_at":"2026-07-05T09:41:23Z"},{"alias_kind":"pith_short_16","alias_value":"NZYPS2EZMOI2LU5H","created_at":"2026-07-05T09:41:23Z"},{"alias_kind":"pith_short_8","alias_value":"NZYPS2EZ","created_at":"2026-07-05T09:41:23Z"}],"graph_snapshots":[{"event_id":"sha256:bfabd9b5279838a191e56bd9158636029dc0d678c0cf0750c5c50468ce725043","target":"graph","created_at":"2026-07-05T09:41:23Z","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/2411.18588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While vision transformers show promise in numerous image restoration (IR) tasks, the challenge remains in efficiently generalizing and scaling up a model for multiple IR tasks. To strike a balance between efficiency and model capacity for a generalized transformer-based IR method, we propose a hierarchical information flow mechanism for image restoration, dubbed Hi-IR, which progressively propagates information among pixels in a bottom-up manner. Hi-IR constructs a hierarchical information tree representing the degraded image across three levels. Each level encapsulates different types of info","authors_text":"Bin Ren, Jingyun Liang, Luca Benini, Mengyuan Liu, Ming-Hsuan Yang, Nicu Sebe, Rakesh Ranjan, Yawei Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T18:30:08Z","title":"Hierarchical Information Flow for Generalized Efficient Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18588","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":"sha256:03b4d2081caeaf834511ae43444ea360abe448dbb81755de288eb992ba68ac2a","target":"record","created_at":"2026-07-05T09:41:23Z","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":"76098898e7b66ce2a126fcd606dd9bb0b74b9114a63e96708f852d4e8ee3a639","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T18:30:08Z","title_canon_sha256":"a7dda0d0df2dc29058102556602b5ade0151a17c49a5fd5ec3165e4244cbdf75"},"schema_version":"1.0","source":{"id":"2411.18588","kind":"arxiv","version":1}},"canonical_sha256":"6e70f968996391a5d3a757ebf2bf729c411cc5accff6128f5c764a318845f681","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e70f968996391a5d3a757ebf2bf729c411cc5accff6128f5c764a318845f681","first_computed_at":"2026-07-05T09:41:23.911392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:23.911392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pmdWbYKArUXGRHlmYVI2GVkvohD/+yhb+bXllnXM5A1BvnA3s+bp2JWpNc3rK8eDMtGWZ9DJSo3eXA0xaktCBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:23.911893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18588","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03b4d2081caeaf834511ae43444ea360abe448dbb81755de288eb992ba68ac2a","sha256:bfabd9b5279838a191e56bd9158636029dc0d678c0cf0750c5c50468ce725043"],"state_sha256":"fc93188b66b3e0ef6159c42e3548cbdc036260bef8fd5deaf560d45b324f7de8"}