{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7GAWGH2T7C7YP7WRPHYNJRJZEE","short_pith_number":"pith:7GAWGH2T","canonical_record":{"source":{"id":"2606.20142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T12:05:16Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"9ecc257e416d80fa1d11f10349a286e50014be3fd6b58cde5a6615e17e032472","abstract_canon_sha256":"8c63a86d7ca6807763ad3ee3734a24b7f837b7011d0920d0e0b08a949ffe16f9"},"schema_version":"1.0"},"canonical_sha256":"f981631f53f8bf87fed179f0d4c539212a879a43a5b1b8ce198de4d74edccd32","source":{"kind":"arxiv","id":"2606.20142","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20142","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20142v1","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20142","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_12","alias_value":"7GAWGH2T7C7Y","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_16","alias_value":"7GAWGH2T7C7YP7WR","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_8","alias_value":"7GAWGH2T","created_at":"2026-06-19T16:13:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7GAWGH2T7C7YP7WRPHYNJRJZEE","target":"record","payload":{"canonical_record":{"source":{"id":"2606.20142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T12:05:16Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"9ecc257e416d80fa1d11f10349a286e50014be3fd6b58cde5a6615e17e032472","abstract_canon_sha256":"8c63a86d7ca6807763ad3ee3734a24b7f837b7011d0920d0e0b08a949ffe16f9"},"schema_version":"1.0"},"canonical_sha256":"f981631f53f8bf87fed179f0d4c539212a879a43a5b1b8ce198de4d74edccd32","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:13:03.882193Z","signature_b64":"dsQONsLsJt5xtYhdHlVllVCtNHnyny8L4uiBBBTWOq5DoUuUrzijhf8O0D7QUp55fkqwGefst/5DvbrwDa9GBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f981631f53f8bf87fed179f0d4c539212a879a43a5b1b8ce198de4d74edccd32","last_reissued_at":"2026-06-19T16:13:03.881851Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:13:03.881851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.20142","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":"2026-06-19T16:13:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ylnSlB4D7FyWSfQQuSEvL6V+4YBUwfMIDeyrIsOn9yL7mSwbSOV75FP8wbH0ZqdxyWgACMGJdPX/ddJdkdSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T12:32:29.127912Z"},"content_sha256":"11be9a3e5838a8b1ac1de3500b227df16ad147942e4d3947a6f7739182af1628","schema_version":"1.0","event_id":"sha256:11be9a3e5838a8b1ac1de3500b227df16ad147942e4d3947a6f7739182af1628"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7GAWGH2T7C7YP7WRPHYNJRJZEE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RACL: Reasoning-Agent Control Layers for Continuous Metaheuristic Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.AI","authors_text":"Ant\\'on Asla Manz\\'arraga","submitted_at":"2026-06-18T12:05:16Z","abstract_excerpt":"This paper introduces RACL, a Reasoning-Agent Control Layer for metaheuristics. RACL places a reasoning agent above an existing optimizer. The agent does not replace the optimizer and does not modify business constraints. Instead, it controls the optimizer's internal search behavior by observing operational memory, reasoning over past behavior, formulating bounded hypotheses, testing interventions, evaluating outcomes, applying guardrails, consolidating useful policies and explaining its decisions. The experiment uses vehicle routing as a testbed, but the contribution is not a new routing solv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20142","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/2606.20142/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":"2026-06-19T16:13:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nGLTHHTe12IA7RyIK0hO/tYWFVECwIBCqYT6gm/QxIYSA7gZTOyMljPYlcklfoUhYJh+QA0E8DAI3oOrU3HOAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T12:32:29.128263Z"},"content_sha256":"71e27cb6edd3e2a640a8ed6c179350f412562bbfaaa55261206d791c0cc2d70c","schema_version":"1.0","event_id":"sha256:71e27cb6edd3e2a640a8ed6c179350f412562bbfaaa55261206d791c0cc2d70c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/bundle.json","state_url":"https://pith.science/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/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":"2026-06-28T12:32:29Z","links":{"resolver":"https://pith.science/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE","bundle":"https://pith.science/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/bundle.json","state":"https://pith.science/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GAWGH2T7C7YP7WRPHYNJRJZEE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7GAWGH2T7C7YP7WRPHYNJRJZEE","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":"8c63a86d7ca6807763ad3ee3734a24b7f837b7011d0920d0e0b08a949ffe16f9","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T12:05:16Z","title_canon_sha256":"9ecc257e416d80fa1d11f10349a286e50014be3fd6b58cde5a6615e17e032472"},"schema_version":"1.0","source":{"id":"2606.20142","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20142","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20142v1","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20142","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_12","alias_value":"7GAWGH2T7C7Y","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_16","alias_value":"7GAWGH2T7C7YP7WR","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_8","alias_value":"7GAWGH2T","created_at":"2026-06-19T16:13:03Z"}],"graph_snapshots":[{"event_id":"sha256:71e27cb6edd3e2a640a8ed6c179350f412562bbfaaa55261206d791c0cc2d70c","target":"graph","created_at":"2026-06-19T16:13:03Z","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/2606.20142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces RACL, a Reasoning-Agent Control Layer for metaheuristics. RACL places a reasoning agent above an existing optimizer. The agent does not replace the optimizer and does not modify business constraints. Instead, it controls the optimizer's internal search behavior by observing operational memory, reasoning over past behavior, formulating bounded hypotheses, testing interventions, evaluating outcomes, applying guardrails, consolidating useful policies and explaining its decisions. The experiment uses vehicle routing as a testbed, but the contribution is not a new routing solv","authors_text":"Ant\\'on Asla Manz\\'arraga","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T12:05:16Z","title":"RACL: Reasoning-Agent Control Layers for Continuous Metaheuristic Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20142","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":"sha256:11be9a3e5838a8b1ac1de3500b227df16ad147942e4d3947a6f7739182af1628","target":"record","created_at":"2026-06-19T16:13:03Z","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":"8c63a86d7ca6807763ad3ee3734a24b7f837b7011d0920d0e0b08a949ffe16f9","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T12:05:16Z","title_canon_sha256":"9ecc257e416d80fa1d11f10349a286e50014be3fd6b58cde5a6615e17e032472"},"schema_version":"1.0","source":{"id":"2606.20142","kind":"arxiv","version":1}},"canonical_sha256":"f981631f53f8bf87fed179f0d4c539212a879a43a5b1b8ce198de4d74edccd32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f981631f53f8bf87fed179f0d4c539212a879a43a5b1b8ce198de4d74edccd32","first_computed_at":"2026-06-19T16:13:03.881851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:03.881851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dsQONsLsJt5xtYhdHlVllVCtNHnyny8L4uiBBBTWOq5DoUuUrzijhf8O0D7QUp55fkqwGefst/5DvbrwDa9GBg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:03.882193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20142","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11be9a3e5838a8b1ac1de3500b227df16ad147942e4d3947a6f7739182af1628","sha256:71e27cb6edd3e2a640a8ed6c179350f412562bbfaaa55261206d791c0cc2d70c"],"state_sha256":"21c9e4affa3a8d875086e006501a48799aea5b796079fe52f2c69b249c972445"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jKInxlvLMGlZaKoZlSqDNrFaOc+8ZSiMyn9zDfy6jgUoFFK8ngmWvod+9W0uYsYDke8jl17Uvkvot+FkQ4SGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T12:32:29.130149Z","bundle_sha256":"7e1062728deac0d25b02cee3aac3d4061286866cd5578542962b0ae60395a4e2"}}