{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3ZPK72VYKQCWO6WJYEHXCI56VS","short_pith_number":"pith:3ZPK72VY","canonical_record":{"source":{"id":"2310.10134","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T07:17:27Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7f7ba7158d79e50ac4dbdb960b830dde31d3ffba17d3c7bbdae12aed921f5ded","abstract_canon_sha256":"32a3830c221a6935933301207e2ca9c56f44dce8251da951053863fdefa53fac"},"schema_version":"1.0"},"canonical_sha256":"de5eafeab85405677ac9c10f7123beac813cfa393ba8ee66aadb72695e4f95a5","source":{"kind":"arxiv","id":"2310.10134","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10134","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10134v1","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10134","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"3ZPK72VYKQCW","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"3ZPK72VYKQCWO6WJ","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"3ZPK72VY","created_at":"2026-07-05T07:01:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3ZPK72VYKQCWO6WJYEHXCI56VS","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10134","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T07:17:27Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7f7ba7158d79e50ac4dbdb960b830dde31d3ffba17d3c7bbdae12aed921f5ded","abstract_canon_sha256":"32a3830c221a6935933301207e2ca9c56f44dce8251da951053863fdefa53fac"},"schema_version":"1.0"},"canonical_sha256":"de5eafeab85405677ac9c10f7123beac813cfa393ba8ee66aadb72695e4f95a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:15.784303Z","signature_b64":"aqbISKFrp3LUegWtSRKL8d1altqJpRkszVQO0WgovdZsur8PcUtzDvx5kWYhc3DVxcNQ0IGzTS/UsoFDBXW2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de5eafeab85405677ac9c10f7123beac813cfa393ba8ee66aadb72695e4f95a5","last_reissued_at":"2026-07-05T07:01:15.783838Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:15.783838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10134","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tD3U/nHm3i+LVYGje8M8aS5c+OuEi4bUagCZfMKEMADsr1kdCgvwW594J2s77opnDffk4VM9QJ6VVGOkXX5JDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:55:18.255948Z"},"content_sha256":"07b958951809e2e08b5cbfd794226c8f33f8a03af303da6c6417046e366d9fc9","schema_version":"1.0","event_id":"sha256:07b958951809e2e08b5cbfd794226c8f33f8a03af303da6c6417046e366d9fc9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3ZPK72VYKQCWO6WJYEHXCI56VS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Chris Callison-Burch, Li Zhang, Niket Tandon, Oyvind Tafjord, Peter Clark, Peter Jansen","submitted_at":"2023-10-16T07:17:27Z","abstract_excerpt":"Language agents have shown some ability to interact with an external environment, e.g., a virtual world such as ScienceWorld, to perform complex tasks, e.g., growing a plant, without the startup costs of reinforcement learning. However, despite their zero-shot capabilities, these agents to date do not continually improve over time beyond performance refinement on a specific task. Here we present CLIN, the first language-based agent to achieve this, so that it continually improves over multiple trials, including when both the environment and task are varied, and without requiring parameter upda"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10134","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.10134/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T07:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qCsEZ3tINl+HEPPZLvCf3dVt0rlSpkmlCFMNVXMODUINfx++ccs4uCWG1MIyXGV4YzaGTrKxHY/+He7nmym4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:55:18.256465Z"},"content_sha256":"7135e6d027029e637d2355feddc10131d82bc1d81c942fee4d17a8a1a0a4440f","schema_version":"1.0","event_id":"sha256:7135e6d027029e637d2355feddc10131d82bc1d81c942fee4d17a8a1a0a4440f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/bundle.json","state_url":"https://pith.science/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/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":"2026-08-21T14:55:18Z","links":{"resolver":"https://pith.science/pith/3ZPK72VYKQCWO6WJYEHXCI56VS","bundle":"https://pith.science/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/bundle.json","state":"https://pith.science/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3ZPK72VYKQCWO6WJYEHXCI56VS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3ZPK72VYKQCWO6WJYEHXCI56VS","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":"32a3830c221a6935933301207e2ca9c56f44dce8251da951053863fdefa53fac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T07:17:27Z","title_canon_sha256":"7f7ba7158d79e50ac4dbdb960b830dde31d3ffba17d3c7bbdae12aed921f5ded"},"schema_version":"1.0","source":{"id":"2310.10134","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10134","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10134v1","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10134","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"3ZPK72VYKQCW","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"3ZPK72VYKQCWO6WJ","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"3ZPK72VY","created_at":"2026-07-05T07:01:15Z"}],"graph_snapshots":[{"event_id":"sha256:7135e6d027029e637d2355feddc10131d82bc1d81c942fee4d17a8a1a0a4440f","target":"graph","created_at":"2026-07-05T07:01:15Z","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/2310.10134/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language agents have shown some ability to interact with an external environment, e.g., a virtual world such as ScienceWorld, to perform complex tasks, e.g., growing a plant, without the startup costs of reinforcement learning. However, despite their zero-shot capabilities, these agents to date do not continually improve over time beyond performance refinement on a specific task. Here we present CLIN, the first language-based agent to achieve this, so that it continually improves over multiple trials, including when both the environment and task are varied, and without requiring parameter upda","authors_text":"Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Chris Callison-Burch, Li Zhang, Niket Tandon, Oyvind Tafjord, Peter Clark, Peter Jansen","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T07:17:27Z","title":"CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10134","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":"sha256:07b958951809e2e08b5cbfd794226c8f33f8a03af303da6c6417046e366d9fc9","target":"record","created_at":"2026-07-05T07:01:15Z","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":"32a3830c221a6935933301207e2ca9c56f44dce8251da951053863fdefa53fac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T07:17:27Z","title_canon_sha256":"7f7ba7158d79e50ac4dbdb960b830dde31d3ffba17d3c7bbdae12aed921f5ded"},"schema_version":"1.0","source":{"id":"2310.10134","kind":"arxiv","version":1}},"canonical_sha256":"de5eafeab85405677ac9c10f7123beac813cfa393ba8ee66aadb72695e4f95a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de5eafeab85405677ac9c10f7123beac813cfa393ba8ee66aadb72695e4f95a5","first_computed_at":"2026-07-05T07:01:15.783838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:15.783838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aqbISKFrp3LUegWtSRKL8d1altqJpRkszVQO0WgovdZsur8PcUtzDvx5kWYhc3DVxcNQ0IGzTS/UsoFDBXW2Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:15.784303Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10134","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07b958951809e2e08b5cbfd794226c8f33f8a03af303da6c6417046e366d9fc9","sha256:7135e6d027029e637d2355feddc10131d82bc1d81c942fee4d17a8a1a0a4440f"],"state_sha256":"dac880f3b5660dfdb7e72c327f6ebff50f2139e36eeba1d291785593acaa7bcd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Czxq1g4q8fFxb0ckishAWSOMMwaHO5F7Jo+xdAxX0YjYK4ErKJOQyP1aO5k5kVIMrna8sY8w1hIeBr5en0yrDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T14:55:18.259916Z","bundle_sha256":"43a9ced30b4d234aee9e7fc48b60e4b352b8dc9e53e5e581ad5671e5a041e0f7"}}