{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QFPYTDQSVV6PM6OVZ3X6YMDQIT","short_pith_number":"pith:QFPYTDQS","canonical_record":{"source":{"id":"2607.11944","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-11T10:05:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8796b95fbe5322dba75bd12849dcca87b6af65cf74e2772d03d5ac8206713734","abstract_canon_sha256":"5b4a9ce1ffd1bea08fb3fccf2d89534167869b05d3464a70bf997632b2c407b4"},"schema_version":"1.0"},"canonical_sha256":"815f898e12ad7cf679d5ceefec307044fe94e7493a2770352425bc2b29a35c05","source":{"kind":"arxiv","id":"2607.11944","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11944","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11944v1","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11944","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_12","alias_value":"QFPYTDQSVV6P","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_16","alias_value":"QFPYTDQSVV6PM6OV","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_8","alias_value":"QFPYTDQS","created_at":"2026-07-15T00:21:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QFPYTDQSVV6PM6OVZ3X6YMDQIT","target":"record","payload":{"canonical_record":{"source":{"id":"2607.11944","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-11T10:05:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8796b95fbe5322dba75bd12849dcca87b6af65cf74e2772d03d5ac8206713734","abstract_canon_sha256":"5b4a9ce1ffd1bea08fb3fccf2d89534167869b05d3464a70bf997632b2c407b4"},"schema_version":"1.0"},"canonical_sha256":"815f898e12ad7cf679d5ceefec307044fe94e7493a2770352425bc2b29a35c05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T00:21:24.330392Z","signature_b64":"T/6G1qqygDYacJBYI+lsyvdtHtTi3NAc82yTe2kCsq1ci7LLtte9VCv6jBp3MHJpYERH09jR3/J+KVjuTUW2Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"815f898e12ad7cf679d5ceefec307044fe94e7493a2770352425bc2b29a35c05","last_reissued_at":"2026-07-15T00:21:24.329377Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T00:21:24.329377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.11944","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":"2026-07-15T00:21:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ocaxyssLT58wSUW54kQBUNRgjBhPvdUs1tvBqteR/kAiQmv+v3uPi0YuGKcZgTu/xPZHCgGUCgDJSzBTcg6CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:40:47.062585Z"},"content_sha256":"6e3425ea30a652251e9dd76756f1f25bceca4d01210c04b5969788edb37398d6","schema_version":"1.0","event_id":"sha256:6e3425ea30a652251e9dd76756f1f25bceca4d01210c04b5969788edb37398d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QFPYTDQSVV6PM6OVZ3X6YMDQIT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Prateek Singh","submitted_at":"2026-07-11T10:05:58Z","abstract_excerpt":"How do different components of iterative prompt optimization interact, and what happens when they are combined? We investigate this through MAGE (Memory-Augmented Goal-directed Prompt Evolution), a controlled analysis framework for studying component interaction in prompt optimization. MAGE is not proposed as a superior optimizer in absolute terms; it integrates episodic memory, multi-objective Pareto selection, and adaptive evaluation as a platform for controlled ablation. Our experiments uncover a previously unreported phenomenon, the Prompt Optimization Coupling Effect (POCE): when multiple"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11944","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/2607.11944/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":"2026-07-15T00:21:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mQFb4f6M8ZPg3stjL1KQefFsUGXPBnXr3TnSUafhW1ojqSqOOhx9N7wZ9F3P7mu2Kbt4ymV61EpukW5y8W2cCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:40:47.062920Z"},"content_sha256":"19bad08be76458b7605718420867c4d9747dbd5879f78c19fc3adf79a7acd7d7","schema_version":"1.0","event_id":"sha256:19bad08be76458b7605718420867c4d9747dbd5879f78c19fc3adf79a7acd7d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/bundle.json","state_url":"https://pith.science/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/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":"2026-08-19T05:40:47Z","links":{"resolver":"https://pith.science/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT","bundle":"https://pith.science/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/bundle.json","state":"https://pith.science/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QFPYTDQSVV6PM6OVZ3X6YMDQIT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QFPYTDQSVV6PM6OVZ3X6YMDQIT","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":"5b4a9ce1ffd1bea08fb3fccf2d89534167869b05d3464a70bf997632b2c407b4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-11T10:05:58Z","title_canon_sha256":"8796b95fbe5322dba75bd12849dcca87b6af65cf74e2772d03d5ac8206713734"},"schema_version":"1.0","source":{"id":"2607.11944","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11944","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11944v1","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11944","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_12","alias_value":"QFPYTDQSVV6P","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_16","alias_value":"QFPYTDQSVV6PM6OV","created_at":"2026-07-15T00:21:24Z"},{"alias_kind":"pith_short_8","alias_value":"QFPYTDQS","created_at":"2026-07-15T00:21:24Z"}],"graph_snapshots":[{"event_id":"sha256:19bad08be76458b7605718420867c4d9747dbd5879f78c19fc3adf79a7acd7d7","target":"graph","created_at":"2026-07-15T00:21:24Z","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/2607.11944/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"How do different components of iterative prompt optimization interact, and what happens when they are combined? We investigate this through MAGE (Memory-Augmented Goal-directed Prompt Evolution), a controlled analysis framework for studying component interaction in prompt optimization. MAGE is not proposed as a superior optimizer in absolute terms; it integrates episodic memory, multi-objective Pareto selection, and adaptive evaluation as a platform for controlled ablation. Our experiments uncover a previously unreported phenomenon, the Prompt Optimization Coupling Effect (POCE): when multiple","authors_text":"Prateek Singh","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-11T10:05:58Z","title":"MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11944","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":"sha256:6e3425ea30a652251e9dd76756f1f25bceca4d01210c04b5969788edb37398d6","target":"record","created_at":"2026-07-15T00:21:24Z","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":"5b4a9ce1ffd1bea08fb3fccf2d89534167869b05d3464a70bf997632b2c407b4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-11T10:05:58Z","title_canon_sha256":"8796b95fbe5322dba75bd12849dcca87b6af65cf74e2772d03d5ac8206713734"},"schema_version":"1.0","source":{"id":"2607.11944","kind":"arxiv","version":1}},"canonical_sha256":"815f898e12ad7cf679d5ceefec307044fe94e7493a2770352425bc2b29a35c05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"815f898e12ad7cf679d5ceefec307044fe94e7493a2770352425bc2b29a35c05","first_computed_at":"2026-07-15T00:21:24.329377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T00:21:24.329377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T/6G1qqygDYacJBYI+lsyvdtHtTi3NAc82yTe2kCsq1ci7LLtte9VCv6jBp3MHJpYERH09jR3/J+KVjuTUW2Dg==","signature_status":"signed_v1","signed_at":"2026-07-15T00:21:24.330392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11944","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e3425ea30a652251e9dd76756f1f25bceca4d01210c04b5969788edb37398d6","sha256:19bad08be76458b7605718420867c4d9747dbd5879f78c19fc3adf79a7acd7d7"],"state_sha256":"658aa7a6965d42f91da80ff01ce570657e2dda9c9fdadff4774042e9f00323b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nf3dzRpYKy7jtXDdv1rzsKpVbiL8mQOWia6YgysigkKcmQ7M4Ta0Hk3jXL5eA+Vk7RiSURclVCfQcpcOj2OkCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T05:40:47.066460Z","bundle_sha256":"a1da7d1572380aac2e8dcb4af8023a1e724839fa22a020e6a1d4821f1beac066"}}