{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KX6JAJ6DCD5SNMRHNMVKIQLPGL","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":"0575f925c341e3f5c06e8d58321afebaa061da0d5b186aa59d891f28c6379894","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-01T02:32:12Z","title_canon_sha256":"9cce31814efd4ffac679a74610592f3db6c78c100baebcf8b38721c3b94edd0f"},"schema_version":"1.0","source":{"id":"2106.00188","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.00188","created_at":"2026-07-05T03:52:28Z"},{"alias_kind":"arxiv_version","alias_value":"2106.00188v2","created_at":"2026-07-05T03:52:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.00188","created_at":"2026-07-05T03:52:28Z"},{"alias_kind":"pith_short_12","alias_value":"KX6JAJ6DCD5S","created_at":"2026-07-05T03:52:28Z"},{"alias_kind":"pith_short_16","alias_value":"KX6JAJ6DCD5SNMRH","created_at":"2026-07-05T03:52:28Z"},{"alias_kind":"pith_short_8","alias_value":"KX6JAJ6D","created_at":"2026-07-05T03:52:28Z"}],"graph_snapshots":[{"event_id":"sha256:bab36762a3439a8519aec8baa306ea1cd5684c31ba0981001f6cb9c81d0e54c9","target":"graph","created_at":"2026-07-05T03:52:28Z","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/2106.00188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose PIGLeT: a model that learns physical commonsense knowledge through interaction, and then uses this knowledge to ground language. We factorize PIGLeT into a physical dynamics model, and a separate language model. Our dynamics model learns not just what objects are but also what they do: glass cups break when thrown, plastic ones don't. We then use it as the interface to our language model, giving us a unified model of linguistic form and grounded meaning. PIGLeT can read a sentence, simulate neurally what might happen next, and then communicate that result through a literal symbolic ","authors_text":"Ali Farhadi, Aniruddha Kembhavi, Ari Holtzman, Matthew Peters, Roozbeh Mottaghi, Rowan Zellers, Yejin Choi","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-01T02:32:12Z","title":"PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.00188","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":"sha256:1d16b2f31cde44754e378e12d7c3c77a369a0327324fae733ca5c69563c539c0","target":"record","created_at":"2026-07-05T03:52:28Z","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":"0575f925c341e3f5c06e8d58321afebaa061da0d5b186aa59d891f28c6379894","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-01T02:32:12Z","title_canon_sha256":"9cce31814efd4ffac679a74610592f3db6c78c100baebcf8b38721c3b94edd0f"},"schema_version":"1.0","source":{"id":"2106.00188","kind":"arxiv","version":2}},"canonical_sha256":"55fc9027c310fb26b2276b2aa4416f32cc9c733b1beaea2b449530517c99d893","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55fc9027c310fb26b2276b2aa4416f32cc9c733b1beaea2b449530517c99d893","first_computed_at":"2026-07-05T03:52:28.666110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:52:28.666110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2alo2XISLW0FpQfkXSvBR7h2SfNmz3ucg5NkB5+MlJBec4BQS8bxQtPdcsDyRinoVOsUjO8ePRlrFeJ7fQB7DA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:52:28.666696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.00188","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d16b2f31cde44754e378e12d7c3c77a369a0327324fae733ca5c69563c539c0","sha256:bab36762a3439a8519aec8baa306ea1cd5684c31ba0981001f6cb9c81d0e54c9"],"state_sha256":"e8f3ac5ba4183ceb3d5af146b01f3b9db337491fa8b9fc3b600ab6be245c62d1"}