{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KFKXTXZR7VKAMUF4OUQGTA6LYZ","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":"e92e8e295648e2b3f1915f34851dc5d7534bd53507a3129f18fdd4ff70659222","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T16:45:25Z","title_canon_sha256":"260945be198c266331376b3fb78d736f8d26ae6922ff21e3cefd5be1944e0b08"},"schema_version":"1.0","source":{"id":"1711.11503","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.11503","created_at":"2026-07-05T01:01:31Z"},{"alias_kind":"arxiv_version","alias_value":"1711.11503v3","created_at":"2026-07-05T01:01:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.11503","created_at":"2026-07-05T01:01:31Z"},{"alias_kind":"pith_short_12","alias_value":"KFKXTXZR7VKA","created_at":"2026-07-05T01:01:31Z"},{"alias_kind":"pith_short_16","alias_value":"KFKXTXZR7VKAMUF4","created_at":"2026-07-05T01:01:31Z"},{"alias_kind":"pith_short_8","alias_value":"KFKXTXZR","created_at":"2026-07-05T01:01:31Z"}],"graph_snapshots":[{"event_id":"sha256:1da5f437ddd428e3565d794c08fb7d3e566531a934e417485b990747ee117aac","target":"graph","created_at":"2026-07-05T01:01:31Z","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/1711.11503/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Do convolutional networks really need a fixed feed-forward structure? What if, after identifying the high-level concept of an image, a network could move directly to a layer that can distinguish fine-grained differences? Currently, a network would first need to execute sometimes hundreds of intermediate layers that specialize in unrelated aspects. Ideally, the more a network already knows about an image, the better it should be at deciding which layer to compute next. In this work, we propose convolutional networks with adaptive inference graphs (ConvNet-AIG) that adaptively define their netwo","authors_text":"Andreas Veit, Serge Belongie","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T16:45:25Z","title":"Convolutional Networks with Adaptive Inference Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.11503","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":"sha256:763c534f9f6bef4e1b82b527a0f32fdf3fc94f2a2ea0b5671518400f0e0ca04d","target":"record","created_at":"2026-07-05T01:01:31Z","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":"e92e8e295648e2b3f1915f34851dc5d7534bd53507a3129f18fdd4ff70659222","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T16:45:25Z","title_canon_sha256":"260945be198c266331376b3fb78d736f8d26ae6922ff21e3cefd5be1944e0b08"},"schema_version":"1.0","source":{"id":"1711.11503","kind":"arxiv","version":3}},"canonical_sha256":"515579df31fd540650bc75206983cbc65aae3bbf985b04f61b40bf73d16aa4f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"515579df31fd540650bc75206983cbc65aae3bbf985b04f61b40bf73d16aa4f1","first_computed_at":"2026-07-05T01:01:31.938009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:01:31.938009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dbVuxeJrfFGiq1O4LOZmwMm6rqrveskvPIpRRWamMiL+OGTQIyGzxdztgHHvRZqfKc7kqGQ3VRTBy7fn8MVhBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:01:31.938505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.11503","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:763c534f9f6bef4e1b82b527a0f32fdf3fc94f2a2ea0b5671518400f0e0ca04d","sha256:1da5f437ddd428e3565d794c08fb7d3e566531a934e417485b990747ee117aac"],"state_sha256":"02c58f88cbd871a36b9e61482b3fe5f22d528b7419decfb56b110dde6fbaea18"}