{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DF3XE7TQLAQ54HUIQKUSNNLJIR","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":"e91f90a4e36f277f38ebb770e2465346cd238e9f2ae951653fcf3742252b7502","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-06T16:57:36Z","title_canon_sha256":"21bce6951e785f3d924719d19bd9dbca82afd1d02e5db8bb164bc2c57e39c901"},"schema_version":"1.0","source":{"id":"2411.04050","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.04050","created_at":"2026-07-05T09:32:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.04050v1","created_at":"2026-07-05T09:32:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.04050","created_at":"2026-07-05T09:32:00Z"},{"alias_kind":"pith_short_12","alias_value":"DF3XE7TQLAQ5","created_at":"2026-07-05T09:32:00Z"},{"alias_kind":"pith_short_16","alias_value":"DF3XE7TQLAQ54HUI","created_at":"2026-07-05T09:32:00Z"},{"alias_kind":"pith_short_8","alias_value":"DF3XE7TQ","created_at":"2026-07-05T09:32:00Z"}],"graph_snapshots":[{"event_id":"sha256:67608528375f99798d28277fce638599b811f60283e5f0a3857f77d5034dc9e2","target":"graph","created_at":"2026-07-05T09:32:00Z","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/2411.04050/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optical sensing technologies are emerging technologies used in cancer surgeries to ensure the complete removal of cancerous tissue. While point-wise assessment has many potential applications, incorporating automated large area scanning would enable holistic tissue sampling. However, such scanning tasks are challenging due to their long-horizon dependency and the requirement for fine-grained motion. To address these issues, we introduce Memorized Action Chunking with Transformers (MACT), an intuitive yet efficient imitation learning method for tissue surface scanning tasks. It utilizes a seque","authors_text":"Bochen Yang, Christopher J Peters, Daniel S. Elson, George Mylonas, Kaizhong Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-06T16:57:36Z","title":"Memorized action chunking with Transformers: Imitation learning for vision-based tissue surface scanning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.04050","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":"sha256:8c886192e1bd62cf2b6fb1a4619b2c3550a4149e584edda1f3846867fcb466c7","target":"record","created_at":"2026-07-05T09:32:00Z","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":"e91f90a4e36f277f38ebb770e2465346cd238e9f2ae951653fcf3742252b7502","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-11-06T16:57:36Z","title_canon_sha256":"21bce6951e785f3d924719d19bd9dbca82afd1d02e5db8bb164bc2c57e39c901"},"schema_version":"1.0","source":{"id":"2411.04050","kind":"arxiv","version":1}},"canonical_sha256":"1977727e705821de1e8882a926b5694474d86b044ba120a553f04b67c536c40e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1977727e705821de1e8882a926b5694474d86b044ba120a553f04b67c536c40e","first_computed_at":"2026-07-05T09:32:00.052043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:32:00.052043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I12QWvErDZ7rPBpY5tjGQw66H4Py0HZ70YLKoi6nou5c9Q3ePP/GeyzKtPqMfT9RagOjc9sOSasnyI+ccY7nCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:32:00.052481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.04050","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c886192e1bd62cf2b6fb1a4619b2c3550a4149e584edda1f3846867fcb466c7","sha256:67608528375f99798d28277fce638599b811f60283e5f0a3857f77d5034dc9e2"],"state_sha256":"9479c74d5d504eac3d0df1b403c2613130f68724e1bbdbaa8438894401bc31e3"}