{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RRWPMUANJJHGMXSVTA7IMFYGC3","short_pith_number":"pith:RRWPMUAN","canonical_record":{"source":{"id":"1810.01871","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-03T13:42:43Z","cross_cats_sorted":["cs.AI","cs.RO","stat.ML"],"title_canon_sha256":"99f937ad28a6d385a962eef6f74562fc8833b958e0732cbfae90bd809544258d","abstract_canon_sha256":"1cef2d278e36b38496b4e6143346b689650fd59b2e2e13824e27d8b2778d521f"},"schema_version":"1.0"},"canonical_sha256":"8c6cf6500d4a4e665e55983e86170616d118443344530b23d283fbdf94fcb152","source":{"kind":"arxiv","id":"1810.01871","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01871","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01871v1","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01871","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"RRWPMUANJJHG","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RRWPMUANJJHGMXSV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RRWPMUAN","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RRWPMUANJJHGMXSVTA7IMFYGC3","target":"record","payload":{"canonical_record":{"source":{"id":"1810.01871","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-03T13:42:43Z","cross_cats_sorted":["cs.AI","cs.RO","stat.ML"],"title_canon_sha256":"99f937ad28a6d385a962eef6f74562fc8833b958e0732cbfae90bd809544258d","abstract_canon_sha256":"1cef2d278e36b38496b4e6143346b689650fd59b2e2e13824e27d8b2778d521f"},"schema_version":"1.0"},"canonical_sha256":"8c6cf6500d4a4e665e55983e86170616d118443344530b23d283fbdf94fcb152","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:07.091081Z","signature_b64":"o0nDzMXeVT8yzVNgu+4z5pP0b4EsRTLDwzTNx8zXcdjrSWGbrvIy7bMycsJlZ48DD7AVDGJOGM0dXBt2DA56Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c6cf6500d4a4e665e55983e86170616d118443344530b23d283fbdf94fcb152","last_reissued_at":"2026-05-18T00:04:07.090415Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:07.090415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.01871","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:04:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Ud8Uy5g8ENjh5AUxJw+Vuol8bbWyE0oNeC9Apjeu0y9Z/QHL6SX/DJeVXVJ7n06MRgAa899ZS6lyIGb+C9XAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T21:09:36.196638Z"},"content_sha256":"3c414623900f076538b7724e7d463eed10004fadadd9a0f67114770a3a4665ef","schema_version":"1.0","event_id":"sha256:3c414623900f076538b7724e7d463eed10004fadadd9a0f67114770a3a4665ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RRWPMUANJJHGMXSVTA7IMFYGC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grounding the Experience of a Visual Field through Sensorimotor Contingencies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alban Laflaqui\\`ere","submitted_at":"2018-10-03T13:42:43Z","abstract_excerpt":"Artificial perception is traditionally handled by hand-designing task specific algorithms. However, a truly autonomous robot should develop perceptive abilities on its own, by interacting with its environment, and adapting to new situations. The sensorimotor contingencies theory proposes to ground the development of those perceptive abilities in the way the agent can actively transform its sensory inputs. We propose a sensorimotor approach, inspired by this theory, in which the agent explores the world and discovers its properties by capturing the sensorimotor regularities they induce. This wo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01871","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:04:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jfp+CSzJAdMgol6ePjX6MM8j3wbSbU+OkGPeyNXqRzHpLpxAsEiyMJ5FDDnoAUiBRzu9CCvUFDe5v8BeJ9KrBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T21:09:36.196994Z"},"content_sha256":"237f0b4bf2656706ee69fa35fdbfbeb1bcb50e825eae371991447b0c20ba9e0f","schema_version":"1.0","event_id":"sha256:237f0b4bf2656706ee69fa35fdbfbeb1bcb50e825eae371991447b0c20ba9e0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/bundle.json","state_url":"https://pith.science/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-01T21:09:36Z","links":{"resolver":"https://pith.science/pith/RRWPMUANJJHGMXSVTA7IMFYGC3","bundle":"https://pith.science/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/bundle.json","state":"https://pith.science/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RRWPMUANJJHGMXSVTA7IMFYGC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RRWPMUANJJHGMXSVTA7IMFYGC3","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":"1cef2d278e36b38496b4e6143346b689650fd59b2e2e13824e27d8b2778d521f","cross_cats_sorted":["cs.AI","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-03T13:42:43Z","title_canon_sha256":"99f937ad28a6d385a962eef6f74562fc8833b958e0732cbfae90bd809544258d"},"schema_version":"1.0","source":{"id":"1810.01871","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01871","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01871v1","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01871","created_at":"2026-05-18T00:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"RRWPMUANJJHG","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RRWPMUANJJHGMXSV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RRWPMUAN","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:237f0b4bf2656706ee69fa35fdbfbeb1bcb50e825eae371991447b0c20ba9e0f","target":"graph","created_at":"2026-05-18T00:04:07Z","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":"Artificial perception is traditionally handled by hand-designing task specific algorithms. However, a truly autonomous robot should develop perceptive abilities on its own, by interacting with its environment, and adapting to new situations. The sensorimotor contingencies theory proposes to ground the development of those perceptive abilities in the way the agent can actively transform its sensory inputs. We propose a sensorimotor approach, inspired by this theory, in which the agent explores the world and discovers its properties by capturing the sensorimotor regularities they induce. This wo","authors_text":"Alban Laflaqui\\`ere","cross_cats":["cs.AI","cs.RO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-03T13:42:43Z","title":"Grounding the Experience of a Visual Field through Sensorimotor Contingencies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01871","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":"sha256:3c414623900f076538b7724e7d463eed10004fadadd9a0f67114770a3a4665ef","target":"record","created_at":"2026-05-18T00:04:07Z","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":"1cef2d278e36b38496b4e6143346b689650fd59b2e2e13824e27d8b2778d521f","cross_cats_sorted":["cs.AI","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-03T13:42:43Z","title_canon_sha256":"99f937ad28a6d385a962eef6f74562fc8833b958e0732cbfae90bd809544258d"},"schema_version":"1.0","source":{"id":"1810.01871","kind":"arxiv","version":1}},"canonical_sha256":"8c6cf6500d4a4e665e55983e86170616d118443344530b23d283fbdf94fcb152","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c6cf6500d4a4e665e55983e86170616d118443344530b23d283fbdf94fcb152","first_computed_at":"2026-05-18T00:04:07.090415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:07.090415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o0nDzMXeVT8yzVNgu+4z5pP0b4EsRTLDwzTNx8zXcdjrSWGbrvIy7bMycsJlZ48DD7AVDGJOGM0dXBt2DA56Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:07.091081Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.01871","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c414623900f076538b7724e7d463eed10004fadadd9a0f67114770a3a4665ef","sha256:237f0b4bf2656706ee69fa35fdbfbeb1bcb50e825eae371991447b0c20ba9e0f"],"state_sha256":"ad2c9a9a1ce1ff231b484f4a92c187e10392ae107c370af7fb2d86d41c5e6ad1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FWFZnJqr5Fytu6hEYUjkDa/cUeVxA9AoEExLUhGO3/u6mezPVqoUuvnuejzXgpq5vJehgZaWysf7ID97tWTMBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T21:09:36.199044Z","bundle_sha256":"2e8bb3a42e3041d3f3fc69c8dd23d0c2b7895795343178255ea9846e59783d36"}}