{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KBO3YPZTXF5QBIMFUPWGA2EHYJ","short_pith_number":"pith:KBO3YPZT","canonical_record":{"source":{"id":"2211.13892","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-25T04:40:47Z","cross_cats_sorted":[],"title_canon_sha256":"c16380ed39d87052d94cb8ce0f35289ccf321f1a44c52aec2307e9b115d71d68","abstract_canon_sha256":"feff89996d87775d1fba86cf407cea17caffdc438a4bd42ef0173533be5919d5"},"schema_version":"1.0"},"canonical_sha256":"505dbc3f33b97b00a185a3ec606887c272c36b8841ef97ecda8b07603e7a74f6","source":{"kind":"arxiv","id":"2211.13892","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13892","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13892v2","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13892","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"KBO3YPZTXF5Q","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"KBO3YPZTXF5QBIMF","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"KBO3YPZT","created_at":"2026-07-05T06:19:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KBO3YPZTXF5QBIMFUPWGA2EHYJ","target":"record","payload":{"canonical_record":{"source":{"id":"2211.13892","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-25T04:40:47Z","cross_cats_sorted":[],"title_canon_sha256":"c16380ed39d87052d94cb8ce0f35289ccf321f1a44c52aec2307e9b115d71d68","abstract_canon_sha256":"feff89996d87775d1fba86cf407cea17caffdc438a4bd42ef0173533be5919d5"},"schema_version":"1.0"},"canonical_sha256":"505dbc3f33b97b00a185a3ec606887c272c36b8841ef97ecda8b07603e7a74f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:54.175018Z","signature_b64":"WEPyUNnOTxFwooHZXmXL1igdqmk7+qJCm9S85+Wd6H2RcaocFtezDB/XXpDv3lyiv3U0UNl+lRAxLAt59QJ2Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"505dbc3f33b97b00a185a3ec606887c272c36b8841ef97ecda8b07603e7a74f6","last_reissued_at":"2026-07-05T06:19:54.174556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:54.174556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.13892","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rv3zcerf/WaPqF0WDey7+BD3tMl5ytsYQTeu0Gy3XwuB+H7mOJGnOxNxSle0RsYwRqHWEJrLJ/OTKgijerGuAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:30:48.171468Z"},"content_sha256":"69d6c9e746c9af1abc5800ab465b9127cb8ec973b61b747e891f40ef56e85acb","schema_version":"1.0","event_id":"sha256:69d6c9e746c9af1abc5800ab465b9127cb8ec973b61b747e891f40ef56e85acb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KBO3YPZTXF5QBIMFUPWGA2EHYJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Complementary Explanations for Effective In-Context Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Asli Celikyilmaz, Greg Durrett, Ramakanth Pasunuru, Srinivasan Iyer, Ves Stoyanov, Xi Ye","submitted_at":"2022-11-25T04:40:47Z","abstract_excerpt":"Large language models (LLMs) have exhibited remarkable capabilities in learning from explanations in prompts, but there has been limited understanding of exactly how these explanations function or why they are effective. This work aims to better understand the mechanisms by which explanations are used for in-context learning. We first study the impact of two different factors on the performance of prompts with explanations: the computation trace (the way the solution is decomposed) and the natural language used to express the prompt. By perturbing explanations on three controlled tasks, we sho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13892","kind":"arxiv","version":2},"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/2211.13892/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":"2026-07-05T06:19:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CULd8HRmhicLh1FWCAJEAAhylCfeugLSXllr7QmXyzebTrsSC+LAFA9VCL6sjypoLZJ94c64820+Y6GpTKnKAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:30:48.175089Z"},"content_sha256":"bac9079742f77334823505d0f406e5e1b8ea65044544626d84d6487df6a4cf1d","schema_version":"1.0","event_id":"sha256:bac9079742f77334823505d0f406e5e1b8ea65044544626d84d6487df6a4cf1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/bundle.json","state_url":"https://pith.science/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/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":"2026-08-13T20:30:48Z","links":{"resolver":"https://pith.science/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ","bundle":"https://pith.science/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/bundle.json","state":"https://pith.science/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBO3YPZTXF5QBIMFUPWGA2EHYJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KBO3YPZTXF5QBIMFUPWGA2EHYJ","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":"feff89996d87775d1fba86cf407cea17caffdc438a4bd42ef0173533be5919d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-25T04:40:47Z","title_canon_sha256":"c16380ed39d87052d94cb8ce0f35289ccf321f1a44c52aec2307e9b115d71d68"},"schema_version":"1.0","source":{"id":"2211.13892","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13892","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13892v2","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13892","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"KBO3YPZTXF5Q","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"KBO3YPZTXF5QBIMF","created_at":"2026-07-05T06:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"KBO3YPZT","created_at":"2026-07-05T06:19:54Z"}],"graph_snapshots":[{"event_id":"sha256:bac9079742f77334823505d0f406e5e1b8ea65044544626d84d6487df6a4cf1d","target":"graph","created_at":"2026-07-05T06:19:54Z","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/2211.13892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have exhibited remarkable capabilities in learning from explanations in prompts, but there has been limited understanding of exactly how these explanations function or why they are effective. This work aims to better understand the mechanisms by which explanations are used for in-context learning. We first study the impact of two different factors on the performance of prompts with explanations: the computation trace (the way the solution is decomposed) and the natural language used to express the prompt. By perturbing explanations on three controlled tasks, we sho","authors_text":"Asli Celikyilmaz, Greg Durrett, Ramakanth Pasunuru, Srinivasan Iyer, Ves Stoyanov, Xi Ye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-25T04:40:47Z","title":"Complementary Explanations for Effective In-Context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13892","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":"sha256:69d6c9e746c9af1abc5800ab465b9127cb8ec973b61b747e891f40ef56e85acb","target":"record","created_at":"2026-07-05T06:19:54Z","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":"feff89996d87775d1fba86cf407cea17caffdc438a4bd42ef0173533be5919d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-25T04:40:47Z","title_canon_sha256":"c16380ed39d87052d94cb8ce0f35289ccf321f1a44c52aec2307e9b115d71d68"},"schema_version":"1.0","source":{"id":"2211.13892","kind":"arxiv","version":2}},"canonical_sha256":"505dbc3f33b97b00a185a3ec606887c272c36b8841ef97ecda8b07603e7a74f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"505dbc3f33b97b00a185a3ec606887c272c36b8841ef97ecda8b07603e7a74f6","first_computed_at":"2026-07-05T06:19:54.174556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:54.174556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WEPyUNnOTxFwooHZXmXL1igdqmk7+qJCm9S85+Wd6H2RcaocFtezDB/XXpDv3lyiv3U0UNl+lRAxLAt59QJ2Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:54.175018Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.13892","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69d6c9e746c9af1abc5800ab465b9127cb8ec973b61b747e891f40ef56e85acb","sha256:bac9079742f77334823505d0f406e5e1b8ea65044544626d84d6487df6a4cf1d"],"state_sha256":"5a75ec061cae2c6d3449757afb8b9fbbced4206ed298823ee48195be5b89b399"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"atQMFJZilAXKeeMGX54KWwJNcX/HveEs7RnNug0WkYFOcks7N40gr2bo3IMiEAc3x+L6uyEqD4yTI3NEvOfRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T20:30:48.205859Z","bundle_sha256":"da49a7f63803359c6dbca60b3b3b5e2b6476e56d0f0f6bb5f01271dfcf2de664"}}