{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XRWAPDXDJCL7AU45QJ6Q5HIBRW","short_pith_number":"pith:XRWAPDXD","canonical_record":{"source":{"id":"2411.07446","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-12T00:07:29Z","cross_cats_sorted":[],"title_canon_sha256":"d1691a7dfe9b27fcf58b7b8c209187f2c8f00f595097f3ef5d4994275514b0ca","abstract_canon_sha256":"d75ca07be00a0c3ad41e94797bf4dc34c55e087b8bd656d5535692b488e65eaa"},"schema_version":"1.0"},"canonical_sha256":"bc6c078ee34897f0539d827d0e9d018d81c12646947f95d3b60739862043a02e","source":{"kind":"arxiv","id":"2411.07446","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.07446","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.07446v2","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07446","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_12","alias_value":"XRWAPDXDJCL7","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_16","alias_value":"XRWAPDXDJCL7AU45","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_8","alias_value":"XRWAPDXD","created_at":"2026-07-05T11:10:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XRWAPDXDJCL7AU45QJ6Q5HIBRW","target":"record","payload":{"canonical_record":{"source":{"id":"2411.07446","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-12T00:07:29Z","cross_cats_sorted":[],"title_canon_sha256":"d1691a7dfe9b27fcf58b7b8c209187f2c8f00f595097f3ef5d4994275514b0ca","abstract_canon_sha256":"d75ca07be00a0c3ad41e94797bf4dc34c55e087b8bd656d5535692b488e65eaa"},"schema_version":"1.0"},"canonical_sha256":"bc6c078ee34897f0539d827d0e9d018d81c12646947f95d3b60739862043a02e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:02.394749Z","signature_b64":"l8GF5Q2UUp1j6NEAX1c5ZeZDo5D6WxAN6j9B2RChe4CNP+O0iQz+DP5HNbz+LYs6cdxdoxZdUxitsDLR90YrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc6c078ee34897f0539d827d0e9d018d81c12646947f95d3b60739862043a02e","last_reissued_at":"2026-07-05T11:10:02.394242Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:02.394242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.07446","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":"2026-07-05T11:10:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2L+WecsfMnikRf8altRWZdnNUACF0KCdjX8vaqnTVqtK35dH/XwoncKVMaQfCbPuwfmgdo2rtMjSVBpIFdorDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:32.326980Z"},"content_sha256":"5ed1aeead35b64ed065c46f757c2e46806e55dd326a1c6ed13b829694b56d6b3","schema_version":"1.0","event_id":"sha256:5ed1aeead35b64ed065c46f757c2e46806e55dd326a1c6ed13b829694b56d6b3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XRWAPDXDJCL7AU45QJ6Q5HIBRW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cilin Yan, Guoliang Kang, Jingyun Wang, Kai Xiong, Lin Zhang, Qingsong Liu, Ruihui Zhao, Xiaopu Wu, Yangyang Kang","submitted_at":"2024-11-12T00:07:29Z","abstract_excerpt":"Automatic prompt engineering aims to enhance the generation quality of large language models (LLMs). Recent works utilize feedbacks generated from erroneous cases to guide the prompt optimization. During inference, they may further retrieve several semantically-related exemplars and concatenate them to the optimized prompts to improve the performance. However, those works only utilize the feedback at the current step, ignoring historical and unseleccted feedbacks which are potentially beneficial. Moreover, the selection of exemplars only considers the general semantic relationship and may not "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07446","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/2411.07446/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":"2026-07-05T11:10:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wAXnUfGu3UuExnlRI350jEzQ7QeJTnoaSLMoNO7vkOKT0/el2qmgMmi80zCFACVVddoO3z7l0HVX+kEyB4BqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:32.327462Z"},"content_sha256":"57de477be0b3cce4e00895784b75dacf308c7de6b1baee1435bcb34e6418f9ef","schema_version":"1.0","event_id":"sha256:57de477be0b3cce4e00895784b75dacf308c7de6b1baee1435bcb34e6418f9ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/bundle.json","state_url":"https://pith.science/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/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":"2026-08-07T23:35:32Z","links":{"resolver":"https://pith.science/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW","bundle":"https://pith.science/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/bundle.json","state":"https://pith.science/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XRWAPDXDJCL7AU45QJ6Q5HIBRW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XRWAPDXDJCL7AU45QJ6Q5HIBRW","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":"d75ca07be00a0c3ad41e94797bf4dc34c55e087b8bd656d5535692b488e65eaa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-12T00:07:29Z","title_canon_sha256":"d1691a7dfe9b27fcf58b7b8c209187f2c8f00f595097f3ef5d4994275514b0ca"},"schema_version":"1.0","source":{"id":"2411.07446","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.07446","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.07446v2","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07446","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_12","alias_value":"XRWAPDXDJCL7","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_16","alias_value":"XRWAPDXDJCL7AU45","created_at":"2026-07-05T11:10:02Z"},{"alias_kind":"pith_short_8","alias_value":"XRWAPDXD","created_at":"2026-07-05T11:10:02Z"}],"graph_snapshots":[{"event_id":"sha256:57de477be0b3cce4e00895784b75dacf308c7de6b1baee1435bcb34e6418f9ef","target":"graph","created_at":"2026-07-05T11:10:02Z","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/2411.07446/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic prompt engineering aims to enhance the generation quality of large language models (LLMs). Recent works utilize feedbacks generated from erroneous cases to guide the prompt optimization. During inference, they may further retrieve several semantically-related exemplars and concatenate them to the optimized prompts to improve the performance. However, those works only utilize the feedback at the current step, ignoring historical and unseleccted feedbacks which are potentially beneficial. Moreover, the selection of exemplars only considers the general semantic relationship and may not ","authors_text":"Cilin Yan, Guoliang Kang, Jingyun Wang, Kai Xiong, Lin Zhang, Qingsong Liu, Ruihui Zhao, Xiaopu Wu, Yangyang Kang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-12T00:07:29Z","title":"Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07446","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":"sha256:5ed1aeead35b64ed065c46f757c2e46806e55dd326a1c6ed13b829694b56d6b3","target":"record","created_at":"2026-07-05T11:10:02Z","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":"d75ca07be00a0c3ad41e94797bf4dc34c55e087b8bd656d5535692b488e65eaa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-12T00:07:29Z","title_canon_sha256":"d1691a7dfe9b27fcf58b7b8c209187f2c8f00f595097f3ef5d4994275514b0ca"},"schema_version":"1.0","source":{"id":"2411.07446","kind":"arxiv","version":2}},"canonical_sha256":"bc6c078ee34897f0539d827d0e9d018d81c12646947f95d3b60739862043a02e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc6c078ee34897f0539d827d0e9d018d81c12646947f95d3b60739862043a02e","first_computed_at":"2026-07-05T11:10:02.394242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:02.394242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l8GF5Q2UUp1j6NEAX1c5ZeZDo5D6WxAN6j9B2RChe4CNP+O0iQz+DP5HNbz+LYs6cdxdoxZdUxitsDLR90YrAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:02.394749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.07446","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ed1aeead35b64ed065c46f757c2e46806e55dd326a1c6ed13b829694b56d6b3","sha256:57de477be0b3cce4e00895784b75dacf308c7de6b1baee1435bcb34e6418f9ef"],"state_sha256":"c0df1e7152f25a5067288b23de9dd64c8ffbded6090bb85049fde60bbef496de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6UN2cFtlT6PpNQBC7TOT0fucuHfA/fBnf0Cj+eXTcYqaK8nPGH1TLlaLKh4BMQQtQWFmXc083SY9wHCGxOZfCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:35:32.332063Z","bundle_sha256":"ca55ecde25f76b1a875bb5236cea386b95be51345a8ba9b592daf04b6741079e"}}