{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5OE3W434L7IPJYZINQ2LTZW33Y","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":"f0f53fe9ab4c1da0ea31001a5baa107f3fe69cca78b856863aee2645f35a2799","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-14T16:46:34Z","title_canon_sha256":"f81e547afcee5ae77c89454fd7588cbb6ffe92f41ae7936d0a28954f33d35dfe"},"schema_version":"1.0","source":{"id":"1910.11093","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.11093","created_at":"2026-07-05T00:38:46Z"},{"alias_kind":"arxiv_version","alias_value":"1910.11093v2","created_at":"2026-07-05T00:38:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.11093","created_at":"2026-07-05T00:38:46Z"},{"alias_kind":"pith_short_12","alias_value":"5OE3W434L7IP","created_at":"2026-07-05T00:38:46Z"},{"alias_kind":"pith_short_16","alias_value":"5OE3W434L7IPJYZI","created_at":"2026-07-05T00:38:46Z"},{"alias_kind":"pith_short_8","alias_value":"5OE3W434","created_at":"2026-07-05T00:38:46Z"}],"graph_snapshots":[{"event_id":"sha256:854b9b36b417bf9307731546dfa5b463100b8ad7e31108c089162286669a467e","target":"graph","created_at":"2026-07-05T00:38:46Z","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/1910.11093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The effectiveness of Convolutional Neural Networks (CNNs) has been substantially attributed to their built-in property of translation equivariance. However, CNNs do not have embedded mechanisms to handle other types of transformations. In this work, we pay attention to scale changes, which regularly appear in various tasks due to the changing distances between the objects and the camera. First, we introduce the general theory for building scale-equivariant convolutional networks with steerable filters. We develop scale-convolution and generalize other common blocks to be scale-equivariant. We ","authors_text":"Arnold Smeulders, Ivan Sosnovik, Micha{\\l} Szmaja","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-14T16:46:34Z","title":"Scale-Equivariant Steerable Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.11093","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":"sha256:3a567658bda06d57829d44a2a7548b8bddc0242d4b665b36c99fbf5c61c6c31c","target":"record","created_at":"2026-07-05T00:38:46Z","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":"f0f53fe9ab4c1da0ea31001a5baa107f3fe69cca78b856863aee2645f35a2799","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-14T16:46:34Z","title_canon_sha256":"f81e547afcee5ae77c89454fd7588cbb6ffe92f41ae7936d0a28954f33d35dfe"},"schema_version":"1.0","source":{"id":"1910.11093","kind":"arxiv","version":2}},"canonical_sha256":"eb89bb737c5fd0f4e3286c34b9e6dbde130243a658e61ae09bbaca213cf9b909","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb89bb737c5fd0f4e3286c34b9e6dbde130243a658e61ae09bbaca213cf9b909","first_computed_at":"2026-07-05T00:38:46.584174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:38:46.584174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0SPooZ63Fb1LIy7JmnwloLOHGzYsR4cTk1duiSqfqQlZLTTdmzigFLXpuSmCU9xQbL2VGUWWY6DkPn8O5g8TCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:38:46.584691Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.11093","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a567658bda06d57829d44a2a7548b8bddc0242d4b665b36c99fbf5c61c6c31c","sha256:854b9b36b417bf9307731546dfa5b463100b8ad7e31108c089162286669a467e"],"state_sha256":"7da3ab83683a98ad56a331e1ba69c9705a15f4b029fbb11f78e7a2ac7f99c906"}