{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:XTI42JSLAIM4C7W352XSK5OFDC","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":"afff72f262b63d0a6beeb0c0f13f82ec9a3e96ae8dcf6c117f7a68d07de221db","cross_cats_sorted":["cs.DC","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-20T16:56:42Z","title_canon_sha256":"3959a8d83fc3d0e88f1623dda15cc3dabc1ca35825c38f1143f825fcc6542629"},"schema_version":"1.0","source":{"id":"1408.4721","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.4721","created_at":"2026-05-18T02:44:48Z"},{"alias_kind":"arxiv_version","alias_value":"1408.4721v1","created_at":"2026-05-18T02:44:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.4721","created_at":"2026-05-18T02:44:48Z"},{"alias_kind":"pith_short_12","alias_value":"XTI42JSLAIM4","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"XTI42JSLAIM4C7W3","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"XTI42JSL","created_at":"2026-05-18T12:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:f91a66aa1e9bdfdf38896872490f8962d71af6ac5c7847a320fcdf0e480a58eb","target":"graph","created_at":"2026-05-18T02:44:48Z","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"},"paper":{"abstract_excerpt":"Multiresolution Analysis (MRA) is a mathematical method that is based on working on a problem at different scales. One of its applications is medical imaging where processing at multiple scales, based on the concept of Gaussian and Laplacian image pyramids, is a well-known technique. It is often applied to reduce noise while preserving image detail on different levels of granularity without modifying the filter kernel. In scientific computing, multigrid methods are a popular choice, as they are asymptotically optimal solvers for elliptic Partial Differential Equations (PDEs). As such algorithm","authors_text":"Christian Schmitt, Frank Hannig, J\\\"urgen Teich, Moritz Schmid, Oliver Reiche","cross_cats":["cs.DC","cs.PL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-20T16:56:42Z","title":"Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.4721","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":"sha256:934523f969a0dfde6dc558d8de4391cb22ebbe8c20da09d1615e5571354ced8f","target":"record","created_at":"2026-05-18T02:44:48Z","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":"afff72f262b63d0a6beeb0c0f13f82ec9a3e96ae8dcf6c117f7a68d07de221db","cross_cats_sorted":["cs.DC","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-20T16:56:42Z","title_canon_sha256":"3959a8d83fc3d0e88f1623dda15cc3dabc1ca35825c38f1143f825fcc6542629"},"schema_version":"1.0","source":{"id":"1408.4721","kind":"arxiv","version":1}},"canonical_sha256":"bcd1cd264b0219c17edbeeaf2575c518adb3bc8aa1364540e42bfc657e16a11c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcd1cd264b0219c17edbeeaf2575c518adb3bc8aa1364540e42bfc657e16a11c","first_computed_at":"2026-05-18T02:44:48.278816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:48.278816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ScXqsGtFLcXqQ573/N4j4ygDTs9koU8V2ZKNFE2Tg6yZqCL0DwhjyYG2I3TIf+P48JnPqT+VVSVhli7znM8eDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:48.279190Z","signed_message":"canonical_sha256_bytes"},"source_id":"1408.4721","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:934523f969a0dfde6dc558d8de4391cb22ebbe8c20da09d1615e5571354ced8f","sha256:f91a66aa1e9bdfdf38896872490f8962d71af6ac5c7847a320fcdf0e480a58eb"],"state_sha256":"3e08e255f24e59a1d565cd4de0231cb85855c967f8ab3c4120e3ac63d6d280f1"}