{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TZJTMGU7HL7AUAYD7SNGXOPRWY","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":"704efd3856b27a203b5c6de0c1b3188527be7839e25b5759e8e955b6aa11cdb5","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-16T21:51:04Z","title_canon_sha256":"c5e46727e0adef20025cef5aadf5b7868888800b0089129e4a0dfef0535d5602"},"schema_version":"1.0","source":{"id":"2306.10190","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10190","created_at":"2026-07-05T07:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10190v2","created_at":"2026-07-05T07:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10190","created_at":"2026-07-05T07:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"TZJTMGU7HL7A","created_at":"2026-07-05T07:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"TZJTMGU7HL7AUAYD","created_at":"2026-07-05T07:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"TZJTMGU7","created_at":"2026-07-05T07:01:42Z"}],"graph_snapshots":[{"event_id":"sha256:7303315a9c7662a207ddb372d54acbffa3e74a71788f3b722501e06d956bc89f","target":"graph","created_at":"2026-07-05T07:01:42Z","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/2306.10190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current methods in training and benchmarking vision models exhibit an over-reliance on passive, curated datasets. Although models trained on these datasets have shown strong performance in a wide variety of tasks such as classification, detection, and segmentation, they fundamentally are unable to generalize to an ever-evolving world due to constant out-of-distribution shifts of input data. Therefore, instead of training on fixed datasets, can we approach learning in a more human-centric and adaptive manner? In this paper, we introduce Action-Aware Embodied Learning for Perception (ALP), an em","authors_text":"Aditi Raghunathan, Anthony Han, Pieter Abbeel, Wilson Yan, Xinran Liang","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-16T21:51:04Z","title":"ALP: Action-Aware Embodied Learning for Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10190","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":"sha256:44052c9f4d0bdb352620ec1d59aae83bb448905329d6dec7a80f908cb804b47f","target":"record","created_at":"2026-07-05T07:01:42Z","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":"704efd3856b27a203b5c6de0c1b3188527be7839e25b5759e8e955b6aa11cdb5","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-16T21:51:04Z","title_canon_sha256":"c5e46727e0adef20025cef5aadf5b7868888800b0089129e4a0dfef0535d5602"},"schema_version":"1.0","source":{"id":"2306.10190","kind":"arxiv","version":2}},"canonical_sha256":"9e53361a9f3afe0a0303fc9a6bb9f1b62f6f5e3c2cb50e1c5b4bd320f9fa681d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e53361a9f3afe0a0303fc9a6bb9f1b62f6f5e3c2cb50e1c5b4bd320f9fa681d","first_computed_at":"2026-07-05T07:01:42.678843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:42.678843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vbk2mH3tEA1WCs83Qsdyu9sGtT3rT+WZzqdr/l9z/2hlSV6tFH+VOskTMFyhpuFT2DW/jlF+MrpAUEGdO0CuAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:42.679309Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.10190","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44052c9f4d0bdb352620ec1d59aae83bb448905329d6dec7a80f908cb804b47f","sha256:7303315a9c7662a207ddb372d54acbffa3e74a71788f3b722501e06d956bc89f"],"state_sha256":"2e582303143a293a235f32876ef0f61fe9cd891e3b3ed7d30045e4c2a11e1fab"}