{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3UMMFPYV5MO5PTQADJYQMSKHWZ","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":"b49805d4aea839fce1301cf4220c0279273fa3dfeab12279944462efc0b65618","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T23:22:37Z","title_canon_sha256":"4c512fdb4066fc4708e45d949036708c20d482ba785bd81d898bc924afc54caa"},"schema_version":"1.0","source":{"id":"2403.12317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12317","created_at":"2026-07-05T07:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12317v1","created_at":"2026-07-05T07:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12317","created_at":"2026-07-05T07:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"3UMMFPYV5MO5","created_at":"2026-07-05T07:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"3UMMFPYV5MO5PTQA","created_at":"2026-07-05T07:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"3UMMFPYV","created_at":"2026-07-05T07:57:59Z"}],"graph_snapshots":[{"event_id":"sha256:266afdc43855ae1007b20848a70c90870f38299be8992d4843aa3230fe87ea17","target":"graph","created_at":"2026-07-05T07:57:59Z","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/2403.12317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accuracy-speed-memory trade-off is always the priority to consider for several computer vision perception tasks.\n  Previous methods mainly focus on a single or small couple of these tasks, such as creating effective data augmentation, feature extractor, learning strategies, etc. These approaches, however, could be inherently task-specific: their proposed model's performance may depend on a specific perception task or a dataset.\n  Targeting to explore common learning patterns and increasing the module robustness, we propose the EffiPerception framework.\n  It could achieve great accuracy-spe","authors_text":"Jiawei Zhang, Simon Dr\\\"ager, Xinhao Xiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T23:22:37Z","title":"EffiPerception: an Efficient Framework for Various Perception Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12317","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:cdab56ca912260d527e26d99190e41b7b1fa97187affdc5e802f2b1f28bc0d16","target":"record","created_at":"2026-07-05T07:57:59Z","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":"b49805d4aea839fce1301cf4220c0279273fa3dfeab12279944462efc0b65618","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-18T23:22:37Z","title_canon_sha256":"4c512fdb4066fc4708e45d949036708c20d482ba785bd81d898bc924afc54caa"},"schema_version":"1.0","source":{"id":"2403.12317","kind":"arxiv","version":1}},"canonical_sha256":"dd18c2bf15eb1dd7ce001a71064947b660afb9afb6f2fa4013aae4d5d1a045e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd18c2bf15eb1dd7ce001a71064947b660afb9afb6f2fa4013aae4d5d1a045e7","first_computed_at":"2026-07-05T07:57:59.012429Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:59.012429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uthrxVrxpnqy9OcajugJkpI7ugZp0PNxlKzSUGYJYV8uDJxNjxSUMZ7i7f56utPkmFoEJXvV4rqJqfG2FI03Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:59.013069Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdab56ca912260d527e26d99190e41b7b1fa97187affdc5e802f2b1f28bc0d16","sha256:266afdc43855ae1007b20848a70c90870f38299be8992d4843aa3230fe87ea17"],"state_sha256":"3fa59b88cae454aa5841e1fec9039c7021766f245390e6676977595631c61ddb"}