{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DSOIL33HMYSUQUTJISSR3NKICC","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":"bf00b2a67f3e9b227a2676dad001064b6bc65186d39f9a8a9f48360408789313","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T17:56:09Z","title_canon_sha256":"d15694ec33e820dd554cabe7fbbaedccb57a3f4b9730b0a1fe73b12d5a5bcc3b"},"schema_version":"1.0","source":{"id":"1807.06583","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06583","created_at":"2026-05-18T00:04:20Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06583v2","created_at":"2026-05-18T00:04:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06583","created_at":"2026-05-18T00:04:20Z"},{"alias_kind":"pith_short_12","alias_value":"DSOIL33HMYSU","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DSOIL33HMYSUQUTJ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DSOIL33H","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:9703f40681ecf4e2d0a4ab22924741f0f11a9f732a4607e2f9d51d4ef547b33a","target":"graph","created_at":"2026-05-18T00:04:20Z","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"},"paper":{"abstract_excerpt":"Effective human-robot interaction, such as in robot learning from human demonstration, requires the learning agent to be able to ground abstract concepts (such as those contained within instructions) in a corresponding high-dimensional sensory input stream from the world. Models such as deep neural networks, with high capacity through their large parameter spaces, can be used to compress the high-dimensional sensory data to lower dimensional representations. These low-dimensional representations facilitate symbol grounding, but may not guarantee that the representation would be human-interpret","authors_text":"Alex Lascarides, Subramanian Ramamoorthy, Yordan Hristov","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T17:56:09Z","title":"Interpretable Latent Spaces for Learning from Demonstration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06583","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:cc5ed98034d6e64f8fbcbd4a07a6195bdf68585b2aaeee5045f1b3adb7b217a4","target":"record","created_at":"2026-05-18T00:04:20Z","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":"bf00b2a67f3e9b227a2676dad001064b6bc65186d39f9a8a9f48360408789313","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T17:56:09Z","title_canon_sha256":"d15694ec33e820dd554cabe7fbbaedccb57a3f4b9730b0a1fe73b12d5a5bcc3b"},"schema_version":"1.0","source":{"id":"1807.06583","kind":"arxiv","version":2}},"canonical_sha256":"1c9c85ef67662548526944a51db548109070fa293433f0ef8b0ef4322ec0fbf7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c9c85ef67662548526944a51db548109070fa293433f0ef8b0ef4322ec0fbf7","first_computed_at":"2026-05-18T00:04:20.276689Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:20.276689Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b6w97n3hjcj19SMXsgUSMU+cI2hv8Gph9idMdMPSuabpTXdKeE5K+FumFtpXw2p+kYAh281bFJGFJGUuTMBtDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:20.277290Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.06583","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc5ed98034d6e64f8fbcbd4a07a6195bdf68585b2aaeee5045f1b3adb7b217a4","sha256:9703f40681ecf4e2d0a4ab22924741f0f11a9f732a4607e2f9d51d4ef547b33a"],"state_sha256":"d5af22c30f1b5fb18f0f7d4c00e165bab6dc2b8b479e10ef304e31e099f10061"}