{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BREI5RTAXWECLHSGLKGPPIMOMA","short_pith_number":"pith:BREI5RTA","canonical_record":{"source":{"id":"2209.07661","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-09-16T00:52:34Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d6aae9ce60aadb6f121787e28577d2815448c1db8cad1c1f8cdfdf94bf396e0c","abstract_canon_sha256":"6ad083a6f8fa98456170759ec7de4d9b22a3f2698c202970cd48a1f692725e31"},"schema_version":"1.0"},"canonical_sha256":"0c488ec660bd88259e465a8cf7a18e602699b4bcf0ef15076b6f4cd3bf139b0f","source":{"kind":"arxiv","id":"2209.07661","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.07661","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"arxiv_version","alias_value":"2209.07661v3","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.07661","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_12","alias_value":"BREI5RTAXWEC","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_16","alias_value":"BREI5RTAXWECLHSG","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_8","alias_value":"BREI5RTA","created_at":"2026-07-05T07:38:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BREI5RTAXWECLHSGLKGPPIMOMA","target":"record","payload":{"canonical_record":{"source":{"id":"2209.07661","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-09-16T00:52:34Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d6aae9ce60aadb6f121787e28577d2815448c1db8cad1c1f8cdfdf94bf396e0c","abstract_canon_sha256":"6ad083a6f8fa98456170759ec7de4d9b22a3f2698c202970cd48a1f692725e31"},"schema_version":"1.0"},"canonical_sha256":"0c488ec660bd88259e465a8cf7a18e602699b4bcf0ef15076b6f4cd3bf139b0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:38:07.029874Z","signature_b64":"FKge4oL7kMGiWuHVZoyunPbKkWl/vWZbfkX1oGbCb0vfStO/QVnXISaxMi1HESMhPXZRjvAAJEGDjZDS3PZ9CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c488ec660bd88259e465a8cf7a18e602699b4bcf0ef15076b6f4cd3bf139b0f","last_reissued_at":"2026-07-05T07:38:07.029453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:38:07.029453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.07661","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:38:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gv4ivBK/56bhTree2s6/CH2TR5Vxw15k5s9YWOAgL1gtHH+qhVt4qiyq5BAqjW01oInHh08sOVTOBA3usvp3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:49:36.523232Z"},"content_sha256":"a3b88555ba3b6bc74e9a9dd9509226b991967c25fd73dd08bf45dba06d6fc248","schema_version":"1.0","event_id":"sha256:a3b88555ba3b6bc74e9a9dd9509226b991967c25fd73dd08bf45dba06d6fc248"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BREI5RTAXWECLHSGLKGPPIMOMA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Relation between Sensitivity and Accuracy in In-context Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chen Zhao, He He, Kathleen McKeown, Yanda Chen, Zhou Yu","submitted_at":"2022-09-16T00:52:34Z","abstract_excerpt":"In-context learning (ICL) suffers from oversensitivity to the prompt, making it unreliable in real-world scenarios. We study the sensitivity of ICL with respect to multiple perturbation types. First, we find that label bias obscures the true sensitivity, and therefore prior work may have significantly underestimated ICL sensitivity. Second, we observe a strong negative correlation between ICL sensitivity and accuracy: predictions sensitive to perturbations are less likely to be correct. Motivated by these findings, we propose \\textsc{SenSel}, a few-shot selective prediction method that abstain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.07661","kind":"arxiv","version":3},"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/2209.07661/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":"2026-07-05T07:38:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j/Ush1XpNZ+5e69qalUFSMGAm98OFf5wmLf8YmGNAygC3F/SMRVX4KTkBrO7euzFba51IVVzBq1Gq8qU+9iAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:49:36.523737Z"},"content_sha256":"bd88dfab6544ba86f8e399f16374e9d12f8d548d88f433abb73b062c9dfbe8bf","schema_version":"1.0","event_id":"sha256:bd88dfab6544ba86f8e399f16374e9d12f8d548d88f433abb73b062c9dfbe8bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BREI5RTAXWECLHSGLKGPPIMOMA/bundle.json","state_url":"https://pith.science/pith/BREI5RTAXWECLHSGLKGPPIMOMA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BREI5RTAXWECLHSGLKGPPIMOMA/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":"2026-08-07T23:49:36Z","links":{"resolver":"https://pith.science/pith/BREI5RTAXWECLHSGLKGPPIMOMA","bundle":"https://pith.science/pith/BREI5RTAXWECLHSGLKGPPIMOMA/bundle.json","state":"https://pith.science/pith/BREI5RTAXWECLHSGLKGPPIMOMA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BREI5RTAXWECLHSGLKGPPIMOMA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BREI5RTAXWECLHSGLKGPPIMOMA","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":"6ad083a6f8fa98456170759ec7de4d9b22a3f2698c202970cd48a1f692725e31","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-09-16T00:52:34Z","title_canon_sha256":"d6aae9ce60aadb6f121787e28577d2815448c1db8cad1c1f8cdfdf94bf396e0c"},"schema_version":"1.0","source":{"id":"2209.07661","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.07661","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"arxiv_version","alias_value":"2209.07661v3","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.07661","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_12","alias_value":"BREI5RTAXWEC","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_16","alias_value":"BREI5RTAXWECLHSG","created_at":"2026-07-05T07:38:07Z"},{"alias_kind":"pith_short_8","alias_value":"BREI5RTA","created_at":"2026-07-05T07:38:07Z"}],"graph_snapshots":[{"event_id":"sha256:bd88dfab6544ba86f8e399f16374e9d12f8d548d88f433abb73b062c9dfbe8bf","target":"graph","created_at":"2026-07-05T07:38:07Z","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/2209.07661/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context learning (ICL) suffers from oversensitivity to the prompt, making it unreliable in real-world scenarios. We study the sensitivity of ICL with respect to multiple perturbation types. First, we find that label bias obscures the true sensitivity, and therefore prior work may have significantly underestimated ICL sensitivity. Second, we observe a strong negative correlation between ICL sensitivity and accuracy: predictions sensitive to perturbations are less likely to be correct. Motivated by these findings, we propose \\textsc{SenSel}, a few-shot selective prediction method that abstain","authors_text":"Chen Zhao, He He, Kathleen McKeown, Yanda Chen, Zhou Yu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-09-16T00:52:34Z","title":"On the Relation between Sensitivity and Accuracy in In-context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.07661","kind":"arxiv","version":3},"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:a3b88555ba3b6bc74e9a9dd9509226b991967c25fd73dd08bf45dba06d6fc248","target":"record","created_at":"2026-07-05T07:38:07Z","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":"6ad083a6f8fa98456170759ec7de4d9b22a3f2698c202970cd48a1f692725e31","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-09-16T00:52:34Z","title_canon_sha256":"d6aae9ce60aadb6f121787e28577d2815448c1db8cad1c1f8cdfdf94bf396e0c"},"schema_version":"1.0","source":{"id":"2209.07661","kind":"arxiv","version":3}},"canonical_sha256":"0c488ec660bd88259e465a8cf7a18e602699b4bcf0ef15076b6f4cd3bf139b0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c488ec660bd88259e465a8cf7a18e602699b4bcf0ef15076b6f4cd3bf139b0f","first_computed_at":"2026-07-05T07:38:07.029453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:38:07.029453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FKge4oL7kMGiWuHVZoyunPbKkWl/vWZbfkX1oGbCb0vfStO/QVnXISaxMi1HESMhPXZRjvAAJEGDjZDS3PZ9CA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:38:07.029874Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.07661","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3b88555ba3b6bc74e9a9dd9509226b991967c25fd73dd08bf45dba06d6fc248","sha256:bd88dfab6544ba86f8e399f16374e9d12f8d548d88f433abb73b062c9dfbe8bf"],"state_sha256":"d913615140ceb398f713cf63950ebf434aee2f09f0dfc12f72b376f185747a39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MdJF1pMYc598fkewNMLkR/OAIgMq3KzbJB6SLbU7M6Eew0QUKGlxBeL7wFJROtbUDuIWslu73DErM+L1wBrKDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:49:36.527596Z","bundle_sha256":"86d134e9b55913b34b538166716e304bc3da5cc8dc3bdebe59c43fe1f620c486"}}