{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6Q4RQGZ5EZSDW2JHQETTQPD2GI","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":"7cd8a894410ac512edbd34d6ffa389fa5015c35d791f385e34eb9eecdc7122af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-22T02:32:15Z","title_canon_sha256":"0fc41c7576fe4f52ed392e41109b0fe22877585044abfbf0c661094d8cee340f"},"schema_version":"1.0","source":{"id":"1911.09817","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09817","created_at":"2026-07-05T03:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09817v2","created_at":"2026-07-05T03:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09817","created_at":"2026-07-05T03:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"6Q4RQGZ5EZSD","created_at":"2026-07-05T03:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"6Q4RQGZ5EZSDW2JH","created_at":"2026-07-05T03:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"6Q4RQGZ5","created_at":"2026-07-05T03:16:48Z"}],"graph_snapshots":[{"event_id":"sha256:14569b80654da255d760df9577081a837c5bcb71780027b91daee0facc5e87d1","target":"graph","created_at":"2026-07-05T03:16:48Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1911.09817/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Previous AutoML pruning works utilized individual layer features to automatically prune filters. We analyze the correlation for two layers from the different blocks which have a short-cut structure. It shows that, in one block, the deeper layer has many redundant filters which can be represented by filters in the former layer. So, it is necessary to take information from other layers into consideration in pruning. In this paper, a novel pruning method, named GraphPruning, is proposed. Any series of the network is viewed as a graph. To automatically aggregate neighboring features for each node,","authors_text":"Jingtao Rong, Linlin Ou, Mingyang Zhang, Xinyi Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-22T02:32:15Z","title":"Graph Pruning for Model Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09817","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":"sha256:78e20211e71e60943af65b3f3ea5b1f37c3460170373d94b8b00735452f0c33b","target":"record","created_at":"2026-07-05T03:16:48Z","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":"7cd8a894410ac512edbd34d6ffa389fa5015c35d791f385e34eb9eecdc7122af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-22T02:32:15Z","title_canon_sha256":"0fc41c7576fe4f52ed392e41109b0fe22877585044abfbf0c661094d8cee340f"},"schema_version":"1.0","source":{"id":"1911.09817","kind":"arxiv","version":2}},"canonical_sha256":"f439181b3d26643b69278127383c7a32250bccbcc3bd6fc6081c9fa3804b5399","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f439181b3d26643b69278127383c7a32250bccbcc3bd6fc6081c9fa3804b5399","first_computed_at":"2026-07-05T03:16:48.969578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:16:48.969578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GEAtk3fltW/+b/Gty9qcb+ZkZQ2Ag6oIfE+h+CG9kdde5aMVnzjfbY3Xs915lrKPxqZRQK9St4ZJbCU4GVUZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:16:48.970120Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.09817","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78e20211e71e60943af65b3f3ea5b1f37c3460170373d94b8b00735452f0c33b","sha256:14569b80654da255d760df9577081a837c5bcb71780027b91daee0facc5e87d1"],"state_sha256":"4a88b1eba2f7523d02a29ce2260bc19ef120d7dcbeb8422e14b2a6eb53f5eeec"}