{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:X64ZG5MZBODXYXY7NKY5UVXPWS","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":"bf2074addbf759b781a8eee9a602f5283557e477bee75bab300a46b798610b7e","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-14T14:10:21Z","title_canon_sha256":"0b9796116681f7e9b35ab3734a2fa7533ecd10fc7559c9535cc90c895b629ecd"},"schema_version":"1.0","source":{"id":"1908.05135","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05135","created_at":"2026-07-04T23:56:36Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05135v1","created_at":"2026-07-04T23:56:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05135","created_at":"2026-07-04T23:56:36Z"},{"alias_kind":"pith_short_12","alias_value":"X64ZG5MZBODX","created_at":"2026-07-04T23:56:36Z"},{"alias_kind":"pith_short_16","alias_value":"X64ZG5MZBODXYXY7","created_at":"2026-07-04T23:56:36Z"},{"alias_kind":"pith_short_8","alias_value":"X64ZG5MZ","created_at":"2026-07-04T23:56:36Z"}],"graph_snapshots":[{"event_id":"sha256:e5183fb117219d34eef8a0e86ffc336e53e3e1fd801e32a44edc79cc437a24d9","target":"graph","created_at":"2026-07-04T23:56:36Z","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/1908.05135/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To cooperate with humans effectively, virtual agents need to be able to understand and execute language instructions. A typical setup to achieve this is with a scripted teacher which guides a virtual agent using language instructions. However, such setup has clear limitations in scalability and, more importantly, it is not interactive. Here, we introduce an autonomous agent that uses discrete communication to interactively guide other agents to navigate and act on a simulated environment. The developed communication protocol is trainable, emergent and requires no additional supervision. The em","authors_text":"Diane Bouchacourt, Elia Bruni, Mathijs Mul","cross_cats":["cs.AI","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-14T14:10:21Z","title":"Mastering emergent language: learning to guide in simulated navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05135","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":"sha256:97caf06a467a2bd39720bb077145c7f019ce3c4589782dbb1585c7a95c24d8d2","target":"record","created_at":"2026-07-04T23:56:36Z","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":"bf2074addbf759b781a8eee9a602f5283557e477bee75bab300a46b798610b7e","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-14T14:10:21Z","title_canon_sha256":"0b9796116681f7e9b35ab3734a2fa7533ecd10fc7559c9535cc90c895b629ecd"},"schema_version":"1.0","source":{"id":"1908.05135","kind":"arxiv","version":1}},"canonical_sha256":"bfb99375990b877c5f1f6ab1da56efb49d63d0c0ddd4a0ffa03889aa98c1f8dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfb99375990b877c5f1f6ab1da56efb49d63d0c0ddd4a0ffa03889aa98c1f8dd","first_computed_at":"2026-07-04T23:56:36.664153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:56:36.664153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uGfyKuw3V5O7LJJB1UxouGnn2ooLTtNO8pBL2AeY+zMg9JiqoX80byDA4QL2UJrlItsxavTc6Wa3gSW1NmT6Dg==","signature_status":"signed_v1","signed_at":"2026-07-04T23:56:36.664622Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05135","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97caf06a467a2bd39720bb077145c7f019ce3c4589782dbb1585c7a95c24d8d2","sha256:e5183fb117219d34eef8a0e86ffc336e53e3e1fd801e32a44edc79cc437a24d9"],"state_sha256":"55ab52b5b4009be0a6a78f6032498d243ca12e06153d672ff042e1a7623fd746"}