{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:455ANJKWBU2C6SELVN2NF3OHHB","short_pith_number":"pith:455ANJKW","canonical_record":{"source":{"id":"2502.04295","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-06T18:36:44Z","cross_cats_sorted":[],"title_canon_sha256":"a936f585dbb4b07152d9fafbbb9e031d51b94a8c4f27468181e6e62c2811eb52","abstract_canon_sha256":"f15fa31a5959bf35f13172bdca6373f237df8cfdcb64d3628a616e9c894dea17"},"schema_version":"1.0"},"canonical_sha256":"e77a06a5560d342f488bab74d2edc7386c38a6af3d30fa89ecc001735ea07c62","source":{"kind":"arxiv","id":"2502.04295","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04295","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04295v3","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04295","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_12","alias_value":"455ANJKWBU2C","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_16","alias_value":"455ANJKWBU2C6SEL","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_8","alias_value":"455ANJKW","created_at":"2026-07-05T11:06:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:455ANJKWBU2C6SELVN2NF3OHHB","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04295","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-06T18:36:44Z","cross_cats_sorted":[],"title_canon_sha256":"a936f585dbb4b07152d9fafbbb9e031d51b94a8c4f27468181e6e62c2811eb52","abstract_canon_sha256":"f15fa31a5959bf35f13172bdca6373f237df8cfdcb64d3628a616e9c894dea17"},"schema_version":"1.0"},"canonical_sha256":"e77a06a5560d342f488bab74d2edc7386c38a6af3d30fa89ecc001735ea07c62","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:27.802772Z","signature_b64":"nE6ueHPcaXs7te2BfOIv3gAbs8DYrcSv8fhmKf3gOb1nTVXGa9M/J+/Y1MlUzZbJzBf4h212yPENLOCmJpg2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e77a06a5560d342f488bab74d2edc7386c38a6af3d30fa89ecc001735ea07c62","last_reissued_at":"2026-07-05T11:06:27.802256Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:27.802256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04295","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":"2026-07-05T11:06:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"326xpTt/l8sLdAuGHhhZKZLWzrS3TAo1nc7ZOpF1hoPTfigKHXq75pzKwhpJfy2xL9YR+6drv9yMl7zq3vuHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:42:50.741329Z"},"content_sha256":"888662cdba0aab3301f7bbde04d6e06594ed445de028f88663800fe8aa7d3d1c","schema_version":"1.0","event_id":"sha256:888662cdba0aab3301f7bbde04d6e06594ed445de028f88663800fe8aa7d3d1c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:455ANJKWBU2C6SELVN2NF3OHHB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiahang Xu, Li Lyna Zhang, Peng Cheng, Qi Chen, Xuan Feng, Yang Chen, Yuanye Liu, Yuqing Yang, Zhongxin Guo","submitted_at":"2025-02-06T18:36:44Z","abstract_excerpt":"Large Language Models (LLMs) have shown significant capability across various tasks, with their real-world effectiveness often driven by prompt design. While recent research has focused on optimizing prompt content, the role of prompt formatting, a critical but often overlooked dimension, has received limited systematic investigation. In this paper, we introduce Content-Format Integrated Prompt Optimization (CFPO), an innovative methodology that jointly optimizes both prompt content and formatting through an iterative refinement process. CFPO leverages natural language mutations to explore con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04295","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/2502.04295/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":"2026-07-05T11:06:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHDRHUwR4RAhcTBGlqJw6N3QUgAw6Sjt7lRCue9Dxcw4NnKRCi2mL9ieQ1TX8bh+0XtMBCoY0vY498++XBAqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T04:42:50.741637Z"},"content_sha256":"5f4b92a3807fad129455ee3e6f867b0fd2a88233634796016b099ccff14db57f","schema_version":"1.0","event_id":"sha256:5f4b92a3807fad129455ee3e6f867b0fd2a88233634796016b099ccff14db57f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/455ANJKWBU2C6SELVN2NF3OHHB/bundle.json","state_url":"https://pith.science/pith/455ANJKWBU2C6SELVN2NF3OHHB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/455ANJKWBU2C6SELVN2NF3OHHB/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":"2026-08-06T04:42:50Z","links":{"resolver":"https://pith.science/pith/455ANJKWBU2C6SELVN2NF3OHHB","bundle":"https://pith.science/pith/455ANJKWBU2C6SELVN2NF3OHHB/bundle.json","state":"https://pith.science/pith/455ANJKWBU2C6SELVN2NF3OHHB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/455ANJKWBU2C6SELVN2NF3OHHB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:455ANJKWBU2C6SELVN2NF3OHHB","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":"f15fa31a5959bf35f13172bdca6373f237df8cfdcb64d3628a616e9c894dea17","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-06T18:36:44Z","title_canon_sha256":"a936f585dbb4b07152d9fafbbb9e031d51b94a8c4f27468181e6e62c2811eb52"},"schema_version":"1.0","source":{"id":"2502.04295","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04295","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04295v3","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04295","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_12","alias_value":"455ANJKWBU2C","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_16","alias_value":"455ANJKWBU2C6SEL","created_at":"2026-07-05T11:06:27Z"},{"alias_kind":"pith_short_8","alias_value":"455ANJKW","created_at":"2026-07-05T11:06:27Z"}],"graph_snapshots":[{"event_id":"sha256:5f4b92a3807fad129455ee3e6f867b0fd2a88233634796016b099ccff14db57f","target":"graph","created_at":"2026-07-05T11:06:27Z","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/2502.04295/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown significant capability across various tasks, with their real-world effectiveness often driven by prompt design. While recent research has focused on optimizing prompt content, the role of prompt formatting, a critical but often overlooked dimension, has received limited systematic investigation. In this paper, we introduce Content-Format Integrated Prompt Optimization (CFPO), an innovative methodology that jointly optimizes both prompt content and formatting through an iterative refinement process. CFPO leverages natural language mutations to explore con","authors_text":"Jiahang Xu, Li Lyna Zhang, Peng Cheng, Qi Chen, Xuan Feng, Yang Chen, Yuanye Liu, Yuqing Yang, Zhongxin Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-06T18:36:44Z","title":"Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04295","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":"sha256:888662cdba0aab3301f7bbde04d6e06594ed445de028f88663800fe8aa7d3d1c","target":"record","created_at":"2026-07-05T11:06:27Z","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":"f15fa31a5959bf35f13172bdca6373f237df8cfdcb64d3628a616e9c894dea17","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-06T18:36:44Z","title_canon_sha256":"a936f585dbb4b07152d9fafbbb9e031d51b94a8c4f27468181e6e62c2811eb52"},"schema_version":"1.0","source":{"id":"2502.04295","kind":"arxiv","version":3}},"canonical_sha256":"e77a06a5560d342f488bab74d2edc7386c38a6af3d30fa89ecc001735ea07c62","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e77a06a5560d342f488bab74d2edc7386c38a6af3d30fa89ecc001735ea07c62","first_computed_at":"2026-07-05T11:06:27.802256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:27.802256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nE6ueHPcaXs7te2BfOIv3gAbs8DYrcSv8fhmKf3gOb1nTVXGa9M/J+/Y1MlUzZbJzBf4h212yPENLOCmJpg2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:27.802772Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04295","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:888662cdba0aab3301f7bbde04d6e06594ed445de028f88663800fe8aa7d3d1c","sha256:5f4b92a3807fad129455ee3e6f867b0fd2a88233634796016b099ccff14db57f"],"state_sha256":"2d1469fd28c0347a4412f7bbc6826894e6fbe82c06cc931690109167e899c5c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a9FIj26rbg/OcY7YLYqqh5JSBsXsUbNrxsQwKUu7BEoHaTQgNWVVBvjeqpBsBkrKtEaJa5RGojBvmJmgFW53CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T04:42:50.744844Z","bundle_sha256":"23b7d0199da5b5d69584228a6b7807d68d2967d070392ad01de69168c8891533"}}