{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:7Z7ZLCSGHUSQXJANDN6K4ONCVG","short_pith_number":"pith:7Z7ZLCSG","canonical_record":{"source":{"id":"1706.06551","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-20T17:09:29Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"1ed03f371b4dab2ab4c87ec4a6f45f60b5d45e8d55a7c3075d934d308336f2ca","abstract_canon_sha256":"9ea03d854c3d2b8fc408f00be99e778e2cdb832be1fc03272722530ce253267c"},"schema_version":"1.0"},"canonical_sha256":"fe7f958a463d250ba40d1b7cae39a2a99ddbbc7615f71b3f772767503a3adce9","source":{"kind":"arxiv","id":"1706.06551","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06551","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06551v2","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06551","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"pith_short_12","alias_value":"7Z7ZLCSGHUSQ","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7Z7ZLCSGHUSQXJAN","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7Z7ZLCSG","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:7Z7ZLCSGHUSQXJANDN6K4ONCVG","target":"record","payload":{"canonical_record":{"source":{"id":"1706.06551","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-20T17:09:29Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"1ed03f371b4dab2ab4c87ec4a6f45f60b5d45e8d55a7c3075d934d308336f2ca","abstract_canon_sha256":"9ea03d854c3d2b8fc408f00be99e778e2cdb832be1fc03272722530ce253267c"},"schema_version":"1.0"},"canonical_sha256":"fe7f958a463d250ba40d1b7cae39a2a99ddbbc7615f71b3f772767503a3adce9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:43.950466Z","signature_b64":"7jIv1WDNlmVCrRC7RWvS7SSKYdJxbgL6NsS7wx2F6C59jLcsTkXhMTXdDjs8szzHXysG3VCDI1oB9m4yK55iBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe7f958a463d250ba40d1b7cae39a2a99ddbbc7615f71b3f772767503a3adce9","last_reissued_at":"2026-05-18T00:41:43.949992Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:43.949992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.06551","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:41:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o0Wihw1oiPQ+EXQ1GUAJ+7y0ObnjJuU1G14y2k7keSdMbX+pjbYiQgSQ7BCQoBMF7HWqCdS+SAJO2uBCH93XCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T18:01:51.269757Z"},"content_sha256":"d6ab298df68a5cc0078b395cdf9db75de850f8c7e4dd548a55429a5b77b581b5","schema_version":"1.0","event_id":"sha256:d6ab298df68a5cc0078b395cdf9db75de850f8c7e4dd548a55429a5b77b581b5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:7Z7ZLCSGHUSQXJANDN6K4ONCVG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grounded Language Learning in a Simulated 3D World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CL","authors_text":"Chris Apps, David Szepesvari, Demis Hassabis, Denis Teplyashin, Felix Hill, Fumin Wang, Hubert Soyer, Karl Moritz Hermann, Marcus Wainwright, Max Jaderberg, Phil Blunsom, Ryan Faulkner, Simon Green, Wojciech Marian Czarnecki","submitted_at":"2017-06-20T17:09:29Z","abstract_excerpt":"We are increasingly surrounded by artificially intelligent technology that takes decisions and executes actions on our behalf. This creates a pressing need for general means to communicate with, instruct and guide artificial agents, with human language the most compelling means for such communication. To achieve this in a scalable fashion, agents must be able to relate language to the world and to actions; that is, their understanding of language must be grounded and embodied. However, learning grounded language is a notoriously challenging problem in artificial intelligence research. Here we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06551","kind":"arxiv","version":2},"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":"2026-05-18T00:41:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4s0q4IWXBz07Jd+nXAAhdMjVMS65Q313nV97wQsiv4tDjRBzFu2x2Iea9tsqccLbq1UJyB7miiLaQmQ1TKr4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T18:01:51.270141Z"},"content_sha256":"057b22355fe4e82dee3371cdd17969ca4f87e51be8e0a295136bddf018c2dc93","schema_version":"1.0","event_id":"sha256:057b22355fe4e82dee3371cdd17969ca4f87e51be8e0a295136bddf018c2dc93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/bundle.json","state_url":"https://pith.science/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/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":"2026-05-24T18:01:51Z","links":{"resolver":"https://pith.science/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG","bundle":"https://pith.science/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/bundle.json","state":"https://pith.science/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7Z7ZLCSGHUSQXJANDN6K4ONCVG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7Z7ZLCSGHUSQXJANDN6K4ONCVG","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":"9ea03d854c3d2b8fc408f00be99e778e2cdb832be1fc03272722530ce253267c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-20T17:09:29Z","title_canon_sha256":"1ed03f371b4dab2ab4c87ec4a6f45f60b5d45e8d55a7c3075d934d308336f2ca"},"schema_version":"1.0","source":{"id":"1706.06551","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06551","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06551v2","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06551","created_at":"2026-05-18T00:41:43Z"},{"alias_kind":"pith_short_12","alias_value":"7Z7ZLCSGHUSQ","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7Z7ZLCSGHUSQXJAN","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7Z7ZLCSG","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:057b22355fe4e82dee3371cdd17969ca4f87e51be8e0a295136bddf018c2dc93","target":"graph","created_at":"2026-05-18T00:41:43Z","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":"We are increasingly surrounded by artificially intelligent technology that takes decisions and executes actions on our behalf. This creates a pressing need for general means to communicate with, instruct and guide artificial agents, with human language the most compelling means for such communication. To achieve this in a scalable fashion, agents must be able to relate language to the world and to actions; that is, their understanding of language must be grounded and embodied. However, learning grounded language is a notoriously challenging problem in artificial intelligence research. Here we ","authors_text":"Chris Apps, David Szepesvari, Demis Hassabis, Denis Teplyashin, Felix Hill, Fumin Wang, Hubert Soyer, Karl Moritz Hermann, Marcus Wainwright, Max Jaderberg, Phil Blunsom, Ryan Faulkner, Simon Green, Wojciech Marian Czarnecki","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-20T17:09:29Z","title":"Grounded Language Learning in a Simulated 3D World"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06551","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:d6ab298df68a5cc0078b395cdf9db75de850f8c7e4dd548a55429a5b77b581b5","target":"record","created_at":"2026-05-18T00:41:43Z","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":"9ea03d854c3d2b8fc408f00be99e778e2cdb832be1fc03272722530ce253267c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-20T17:09:29Z","title_canon_sha256":"1ed03f371b4dab2ab4c87ec4a6f45f60b5d45e8d55a7c3075d934d308336f2ca"},"schema_version":"1.0","source":{"id":"1706.06551","kind":"arxiv","version":2}},"canonical_sha256":"fe7f958a463d250ba40d1b7cae39a2a99ddbbc7615f71b3f772767503a3adce9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe7f958a463d250ba40d1b7cae39a2a99ddbbc7615f71b3f772767503a3adce9","first_computed_at":"2026-05-18T00:41:43.949992Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:43.949992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7jIv1WDNlmVCrRC7RWvS7SSKYdJxbgL6NsS7wx2F6C59jLcsTkXhMTXdDjs8szzHXysG3VCDI1oB9m4yK55iBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:43.950466Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.06551","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6ab298df68a5cc0078b395cdf9db75de850f8c7e4dd548a55429a5b77b581b5","sha256:057b22355fe4e82dee3371cdd17969ca4f87e51be8e0a295136bddf018c2dc93"],"state_sha256":"4eca5fab4c9ca131ba38e1e5d071a0531cdf26fddb9ef50676d060cb993b6b7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"07AtoboaChFYRPQvScf1Iozm17ofnu7X8JVxXoy6Shubb7mFMFtYnNAOObVuTZu5M6Tca6z/fFgzrWAk5kBGBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T18:01:51.273328Z","bundle_sha256":"a8214981a1f332c722aedc17f0851e89a6b1772619fa66df7cc88d0f65027eac"}}