{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IVQP4BAVICLMA6WQYAVR3AHK5H","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":"b35653f6912f1dffe101ba6f63930e9077418c87add54285294b3a04661f188a","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-12T16:35:51Z","title_canon_sha256":"f718ae7aff7beb5748aae7c1ed86c9fddcc8a4b07875823ebf17b3c830b6687a"},"schema_version":"1.0","source":{"id":"2503.10706","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10706","created_at":"2026-07-05T11:40:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10706v2","created_at":"2026-07-05T11:40:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10706","created_at":"2026-07-05T11:40:53Z"},{"alias_kind":"pith_short_12","alias_value":"IVQP4BAVICLM","created_at":"2026-07-05T11:40:53Z"},{"alias_kind":"pith_short_16","alias_value":"IVQP4BAVICLMA6WQ","created_at":"2026-07-05T11:40:53Z"},{"alias_kind":"pith_short_8","alias_value":"IVQP4BAV","created_at":"2026-07-05T11:40:53Z"}],"graph_snapshots":[{"event_id":"sha256:654bd1e35ebe9783c91048b5e887ba987965bffd38bc27b315229aab05e365ed","target":"graph","created_at":"2026-07-05T11:40:53Z","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/2503.10706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given the recent rate of progress in artificial intelligence (AI) and robotics, a tantalizing question is emerging: would robots controlled by emerging AI systems be strongly aligned with human values? In this work, we propose a scalable way to probe this question by generating a benchmark spanning the key moments in 824 major pieces of science fiction literature (movies, tv, novels and scientific books) where an agent (AI or robot) made critical decisions (good or bad). We use a state-of-the-art LLM's recollection of each key moment to generate questions in similar situations, the decisions m","authors_text":"Anirudha Majumdar, Pierre Sermanet, Vikas Sindhwani","cross_cats":["cs.AI","cs.CY","cs.HC","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-12T16:35:51Z","title":"SciFi-Benchmark: Leveraging Science Fiction To Improve Robot Behavior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10706","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:feaf3292c8bdf82af2859de51bab2eb1d0ef644fa0f37bded65eaea6beb89f4a","target":"record","created_at":"2026-07-05T11:40:53Z","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":"b35653f6912f1dffe101ba6f63930e9077418c87add54285294b3a04661f188a","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-12T16:35:51Z","title_canon_sha256":"f718ae7aff7beb5748aae7c1ed86c9fddcc8a4b07875823ebf17b3c830b6687a"},"schema_version":"1.0","source":{"id":"2503.10706","kind":"arxiv","version":2}},"canonical_sha256":"4560fe04154096c07ad0c02b1d80eae9da769c782ee3900f34f8045306665a8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4560fe04154096c07ad0c02b1d80eae9da769c782ee3900f34f8045306665a8a","first_computed_at":"2026-07-05T11:40:53.337673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:53.337673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zs2FdyWhIoEKb/XsMYr33obqoGim9Bws7U1wgsqUSQUlFbcgRzzFv9sJ5QTSR0tpBLyKlOFIbTN8GIKwdZBEAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:53.338189Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10706","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:feaf3292c8bdf82af2859de51bab2eb1d0ef644fa0f37bded65eaea6beb89f4a","sha256:654bd1e35ebe9783c91048b5e887ba987965bffd38bc27b315229aab05e365ed"],"state_sha256":"ec84d056f03cae9a51f2d1dce393eeef875b52fb4ca90bc5904b0f46a8664fb1"}