{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HQLBLYZMJ3HYE2UWYFFHYLGMS6","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":"d7db144800be4f9055987719997da0e0c0a38e8dafe5d46f788d904b0b899637","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-12T12:31:17Z","title_canon_sha256":"2e9fd5dab426da1a040e98081ce66da2260c26deb5386d1ca4064abe4692247b"},"schema_version":"1.0","source":{"id":"2211.06652","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.06652","created_at":"2026-07-05T08:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2211.06652v2","created_at":"2026-07-05T08:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.06652","created_at":"2026-07-05T08:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"HQLBLYZMJ3HY","created_at":"2026-07-05T08:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"HQLBLYZMJ3HYE2UW","created_at":"2026-07-05T08:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"HQLBLYZM","created_at":"2026-07-05T08:03:05Z"}],"graph_snapshots":[{"event_id":"sha256:647f30edd69adbe7ee3120c745d27b04fe8b425b7fa0c03c353315886537f563","target":"graph","created_at":"2026-07-05T08:03:05Z","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/2211.06652/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given a natural language instruction and an input scene, our goal is to train a model to output a manipulation program that can be executed by the robot. Prior approaches for this task possess one of the following limitations: (i) rely on hand-coded symbols for concepts limiting generalization beyond those seen during training [1] (ii) infer action sequences from instructions but require dense sub-goal supervision [2] or (iii) lack semantics required for deeper object-centric reasoning inherent in interpreting complex instructions [3]. In contrast, our approach can handle linguistic as well as","authors_text":"Arnav Tuli, Himanshu Singh, Namasivayam Kalithasan, Parag Singla, Rahul Jain, Rohan Paul, Vishal Bindal, Vishwajeet Agrawal","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-12T12:31:17Z","title":"Learning Neuro-symbolic Programs for Language Guided Robot Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.06652","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":"sha256:2ea1c8e596d45902cdf469565c09d75fc7f4e2e5cb6cfe2479567276dbcafa52","target":"record","created_at":"2026-07-05T08:03:05Z","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":"d7db144800be4f9055987719997da0e0c0a38e8dafe5d46f788d904b0b899637","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-12T12:31:17Z","title_canon_sha256":"2e9fd5dab426da1a040e98081ce66da2260c26deb5386d1ca4064abe4692247b"},"schema_version":"1.0","source":{"id":"2211.06652","kind":"arxiv","version":2}},"canonical_sha256":"3c1615e32c4ecf826a96c14a7c2ccc9786959eb595f184299fdfb64a64416437","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c1615e32c4ecf826a96c14a7c2ccc9786959eb595f184299fdfb64a64416437","first_computed_at":"2026-07-05T08:03:05.259478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:03:05.259478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TLeOvR+hCmVezVBUQpDzH0q5nc5hV/mG1TmCxp0Xasjcvb+tgiHW2vO7SVXYU9yko5iCupIuVko9iZaaxNWXAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:03:05.259954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.06652","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ea1c8e596d45902cdf469565c09d75fc7f4e2e5cb6cfe2479567276dbcafa52","sha256:647f30edd69adbe7ee3120c745d27b04fe8b425b7fa0c03c353315886537f563"],"state_sha256":"3886eb6d7bc59cfb2eaf4030d0deaeebbb00ba57b6ed5351f439f8914bfec162"}