{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UTXHVVLEFE4PGHLIZ5KGFBDIW2","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":"5456a3a7769a1747c76fb68afa67fd4893395af02f604d3d6c73018281189c2b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-01T21:34:39Z","title_canon_sha256":"03f1f1298972d75c6dc82aa9d3d7f90b145dfa196455d581302533a578b4c548"},"schema_version":"1.0","source":{"id":"2608.07553","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07553","created_at":"2026-08-11T00:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07553v1","created_at":"2026-08-11T00:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07553","created_at":"2026-08-11T00:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"UTXHVVLEFE4P","created_at":"2026-08-11T00:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"UTXHVVLEFE4PGHLI","created_at":"2026-08-11T00:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"UTXHVVLE","created_at":"2026-08-11T00:15:19Z"}],"graph_snapshots":[{"event_id":"sha256:5f59462a27512dbe70383c1a4a35872e588ab6348e21f718dbd8bab684568cef","target":"graph","created_at":"2026-08-11T00:15:19Z","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/2608.07553/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robotic manipulation often requires object specific programming, manual data annotation, or calibrated perception pipelines, which limits rapid deployment in practical settings. Learning from demonstration offers a more direct alternative, but collecting demonstrations can still demand human teleoperation or kinesthetic teaching. This paper presents a self supervised visual manipulation method in which a robot automatically generates demonstrations around a target pose and learns relative pose corrections directly from wrist mounted RGB images. The proposed pipeline uses ROS~2 and Isaac Sim to","authors_text":"Andres Rivas, Anselmo R. Cukla, Bruna V. Guterres, Ricardo B. Grando, Rodrigo S. Guerra","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-01T21:34:39Z","title":"Self Supervised Learning from Automatically Generated Demonstrations for Visual Robotic Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07553","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":"sha256:4a4c06a1be066a5f3eecb771ebe3a2ccd1de954590f2b5e3fd3e9dee6103b1ad","target":"record","created_at":"2026-08-11T00:15:19Z","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":"5456a3a7769a1747c76fb68afa67fd4893395af02f604d3d6c73018281189c2b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-01T21:34:39Z","title_canon_sha256":"03f1f1298972d75c6dc82aa9d3d7f90b145dfa196455d581302533a578b4c548"},"schema_version":"1.0","source":{"id":"2608.07553","kind":"arxiv","version":1}},"canonical_sha256":"a4ee7ad5642938f31d68cf54628468b6b28a1219a80637fb60c4d65e57c2b889","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4ee7ad5642938f31d68cf54628468b6b28a1219a80637fb60c4d65e57c2b889","first_computed_at":"2026-08-11T00:15:19.971500Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T00:15:19.971500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SGfmVkN+RuXU39MF/StKrBjVmgO6VvPjtx+JZ0C9tSMHv17aVv8waHUeusWkOn2KioX9fG50p1ZtrimuQ2dyDA==","signature_status":"signed_v1","signed_at":"2026-08-11T00:15:19.973717Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07553","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a4c06a1be066a5f3eecb771ebe3a2ccd1de954590f2b5e3fd3e9dee6103b1ad","sha256:5f59462a27512dbe70383c1a4a35872e588ab6348e21f718dbd8bab684568cef"],"state_sha256":"96765dfb1c13f97460e195807b749756d33d2f0f2abc9ebe4bff1e319a9678b6"}