{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:INJNGSX76XJVV3BSQIBFMOC2N7","short_pith_number":"pith:INJNGSX7","canonical_record":{"source":{"id":"1812.11214","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-28T20:53:29Z","cross_cats_sorted":["cs.CV","cs.SD","eess.AS","stat.ML"],"title_canon_sha256":"88b1ae9c8f86e9d6e3ee2df3bdc9bc8bcebfa3d804000ad60887e60b14f047cd","abstract_canon_sha256":"159bdbcc87d8fa04acd21c0127f0af5cd8242b0abc149d9ffea7d8232085cac0"},"schema_version":"1.0"},"canonical_sha256":"4352d34afff5d35aec32820256385a6fd14ab8844b2fcce40b6cfe1804738d6f","source":{"kind":"arxiv","id":"1812.11214","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.11214","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"arxiv_version","alias_value":"1812.11214v3","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.11214","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_12","alias_value":"INJNGSX76XJV","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_16","alias_value":"INJNGSX76XJVV3BS","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_8","alias_value":"INJNGSX7","created_at":"2026-07-05T04:27:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:INJNGSX76XJVV3BSQIBFMOC2N7","target":"record","payload":{"canonical_record":{"source":{"id":"1812.11214","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-28T20:53:29Z","cross_cats_sorted":["cs.CV","cs.SD","eess.AS","stat.ML"],"title_canon_sha256":"88b1ae9c8f86e9d6e3ee2df3bdc9bc8bcebfa3d804000ad60887e60b14f047cd","abstract_canon_sha256":"159bdbcc87d8fa04acd21c0127f0af5cd8242b0abc149d9ffea7d8232085cac0"},"schema_version":"1.0"},"canonical_sha256":"4352d34afff5d35aec32820256385a6fd14ab8844b2fcce40b6cfe1804738d6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:27:26.802743Z","signature_b64":"Et3XxdsyT9pnx16YIWPGubip7grKYSEs/WlvxD3CyFtailYug0OESoS1guhjGOQK1V1PucyhkUX0+vhYoQaFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4352d34afff5d35aec32820256385a6fd14ab8844b2fcce40b6cfe1804738d6f","last_reissued_at":"2026-07-05T04:27:26.802245Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:27:26.802245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.11214","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:27:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PohJqRTwRxZWqhH+iuyllrQ53DhlQAEIqYKKKj7XAAdh/dIrvofjzUQLUB5T53oXbZkgvIMCtvLEg/MjkohrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:53:53.506882Z"},"content_sha256":"cc6dac4205358f5ba8a22a98b7d05b5249f78a10d540cc4b3ac398c17041eaaf","schema_version":"1.0","event_id":"sha256:cc6dac4205358f5ba8a22a98b7d05b5249f78a10d540cc4b3ac398c17041eaaf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:INJNGSX76XJVV3BSQIBFMOC2N7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kymatio: Scattering Transforms in Python","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CV","cs.SD","eess.AS","stat.ML"],"primary_cat":"cs.LG","authors_text":"Carmine Cella, Edouard Oyallon, Eugene Belilovsky, Gaspar Rochette, Georgios Exarchakis, Joakim And\\'en, Joan Bruna, John Zarka, Louis Thiry, Mathieu Andreux, Matthew J. Hirn, Michael Eickenberg, Muawiz Chaudhary, Roberto Leonarduzzi, Sixin Zhang, St\\'ephane Mallat, Tom\\'as Angles, Vincent Lostanlen","submitted_at":"2018-12-28T20:53:29Z","abstract_excerpt":"The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software package, an easy-to-use, high-performance Python implementation of the scattering transform in 1D, 2D, and 3D that is compatible with modern deep learning frameworks. All transforms may be executed on a GPU (in addition to CPU), offering a considerable speed up over CPU implementations. The package also has a small memory footprint, resulting inefficient memory usage. The source code, documentation, and examples are availa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.11214","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1812.11214/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:27:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qgsxMycw1Q93koGh6XAc3bMQ6ZNLRHhvcUbOTRZt/fUXZHSZGJWFNXdOtsGFnHwB4nNpBjSlYHN76reU2PJ3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:53:53.507862Z"},"content_sha256":"797f99372c668f6a8065da38400b7814bf5d58f6d1211ed2bc4bcb1de3ec9767","schema_version":"1.0","event_id":"sha256:797f99372c668f6a8065da38400b7814bf5d58f6d1211ed2bc4bcb1de3ec9767"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/INJNGSX76XJVV3BSQIBFMOC2N7/bundle.json","state_url":"https://pith.science/pith/INJNGSX76XJVV3BSQIBFMOC2N7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/INJNGSX76XJVV3BSQIBFMOC2N7/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T15:53:53Z","links":{"resolver":"https://pith.science/pith/INJNGSX76XJVV3BSQIBFMOC2N7","bundle":"https://pith.science/pith/INJNGSX76XJVV3BSQIBFMOC2N7/bundle.json","state":"https://pith.science/pith/INJNGSX76XJVV3BSQIBFMOC2N7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/INJNGSX76XJVV3BSQIBFMOC2N7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:INJNGSX76XJVV3BSQIBFMOC2N7","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":"159bdbcc87d8fa04acd21c0127f0af5cd8242b0abc149d9ffea7d8232085cac0","cross_cats_sorted":["cs.CV","cs.SD","eess.AS","stat.ML"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-28T20:53:29Z","title_canon_sha256":"88b1ae9c8f86e9d6e3ee2df3bdc9bc8bcebfa3d804000ad60887e60b14f047cd"},"schema_version":"1.0","source":{"id":"1812.11214","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.11214","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"arxiv_version","alias_value":"1812.11214v3","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.11214","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_12","alias_value":"INJNGSX76XJV","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_16","alias_value":"INJNGSX76XJVV3BS","created_at":"2026-07-05T04:27:26Z"},{"alias_kind":"pith_short_8","alias_value":"INJNGSX7","created_at":"2026-07-05T04:27:26Z"}],"graph_snapshots":[{"event_id":"sha256:797f99372c668f6a8065da38400b7814bf5d58f6d1211ed2bc4bcb1de3ec9767","target":"graph","created_at":"2026-07-05T04:27:26Z","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/1812.11214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software package, an easy-to-use, high-performance Python implementation of the scattering transform in 1D, 2D, and 3D that is compatible with modern deep learning frameworks. All transforms may be executed on a GPU (in addition to CPU), offering a considerable speed up over CPU implementations. The package also has a small memory footprint, resulting inefficient memory usage. The source code, documentation, and examples are availa","authors_text":"Carmine Cella, Edouard Oyallon, Eugene Belilovsky, Gaspar Rochette, Georgios Exarchakis, Joakim And\\'en, Joan Bruna, John Zarka, Louis Thiry, Mathieu Andreux, Matthew J. Hirn, Michael Eickenberg, Muawiz Chaudhary, Roberto Leonarduzzi, Sixin Zhang, St\\'ephane Mallat, Tom\\'as Angles, Vincent Lostanlen","cross_cats":["cs.CV","cs.SD","eess.AS","stat.ML"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-28T20:53:29Z","title":"Kymatio: Scattering Transforms in Python"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.11214","kind":"arxiv","version":3},"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:cc6dac4205358f5ba8a22a98b7d05b5249f78a10d540cc4b3ac398c17041eaaf","target":"record","created_at":"2026-07-05T04:27:26Z","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":"159bdbcc87d8fa04acd21c0127f0af5cd8242b0abc149d9ffea7d8232085cac0","cross_cats_sorted":["cs.CV","cs.SD","eess.AS","stat.ML"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-28T20:53:29Z","title_canon_sha256":"88b1ae9c8f86e9d6e3ee2df3bdc9bc8bcebfa3d804000ad60887e60b14f047cd"},"schema_version":"1.0","source":{"id":"1812.11214","kind":"arxiv","version":3}},"canonical_sha256":"4352d34afff5d35aec32820256385a6fd14ab8844b2fcce40b6cfe1804738d6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4352d34afff5d35aec32820256385a6fd14ab8844b2fcce40b6cfe1804738d6f","first_computed_at":"2026-07-05T04:27:26.802245Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:26.802245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Et3XxdsyT9pnx16YIWPGubip7grKYSEs/WlvxD3CyFtailYug0OESoS1guhjGOQK1V1PucyhkUX0+vhYoQaFAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:26.802743Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.11214","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc6dac4205358f5ba8a22a98b7d05b5249f78a10d540cc4b3ac398c17041eaaf","sha256:797f99372c668f6a8065da38400b7814bf5d58f6d1211ed2bc4bcb1de3ec9767"],"state_sha256":"bd7ffef4c9d8464890028dae63385fbb4d2ba3a478b50fd7ce49b66f24d9e046"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p8pzb9iI4rf595xUMb01Tx/rhqmDePuvesD4ij5CK6CtsabE10DyFOx6OO+UJM+sevc8Btj/Bz6c2cv8DZOADA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:53:53.518517Z","bundle_sha256":"a3e0a87e0175c56b931aeb75de717e50f7f08c341dee15917a7690f0e1d79f41"}}