{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DQWURHJKUOHFQPN6KRBGISYCNF","short_pith_number":"pith:DQWURHJK","canonical_record":{"source":{"id":"2607.01846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T08:07:56Z","cross_cats_sorted":[],"title_canon_sha256":"ab2200601a9b209df64204db5dbf31f6fc79f15ca46e8fa833ce561d0160bef8","abstract_canon_sha256":"437bb105c0768600729f2f91021a9ea5f4680603a4c796a6ed7626b1a78948eb"},"schema_version":"1.0"},"canonical_sha256":"1c2d489d2aa38e583dbe5442644b02695841cc98021c273af6013d5425b7ac1e","source":{"kind":"arxiv","id":"2607.01846","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01846","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01846v1","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01846","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"DQWURHJKUOHF","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"DQWURHJKUOHFQPN6","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"DQWURHJK","created_at":"2026-07-03T01:17:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DQWURHJKUOHFQPN6KRBGISYCNF","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T08:07:56Z","cross_cats_sorted":[],"title_canon_sha256":"ab2200601a9b209df64204db5dbf31f6fc79f15ca46e8fa833ce561d0160bef8","abstract_canon_sha256":"437bb105c0768600729f2f91021a9ea5f4680603a4c796a6ed7626b1a78948eb"},"schema_version":"1.0"},"canonical_sha256":"1c2d489d2aa38e583dbe5442644b02695841cc98021c273af6013d5425b7ac1e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:31.524047Z","signature_b64":"bzdeu4Orh3nWHrkyfQh+wRMN16CKxD5QKe3LQ3ipcUpzGhQc6Sk6a5TJ/U9CrVncBQiVvs3VVmcWpWrcvpe6Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c2d489d2aa38e583dbe5442644b02695841cc98021c273af6013d5425b7ac1e","last_reissued_at":"2026-07-03T01:17:31.523662Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:31.523662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01846","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":"2026-07-03T01:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PnUc1MY1hGNR3+YrHg3Avt8PEWR2enXrBQho4dYrD6JAcTUv7AEZ6Y4vxTVVvYvQhrIm9eDRokhcKm0PbKwNCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T17:31:15.026079Z"},"content_sha256":"59ec3dd49225e2833a0f6381283f68ccbaf8dd89306a2a6fa16e33b86943c242","schema_version":"1.0","event_id":"sha256:59ec3dd49225e2833a0f6381283f68ccbaf8dd89306a2a6fa16e33b86943c242"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DQWURHJKUOHFQPN6KRBGISYCNF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLAP: Closed-Loop Training, Evaluation, and Release Control for Domain Agent Post-training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chenyang Zhao, Fangfei Li, Feng Tian, Long Wang, Lv Guo, Zhiyue Zheng","submitted_at":"2026-07-02T08:07:56Z","abstract_excerpt":"Domain agents often face noisy business data, uncertain post-training gains, offline/application mismatch, and adapter-release risk. This paper presents CLAP (Closed-Loop Agent Post-training), a closed-loop method that converts business data into structured SFT samples, decision-preference samples, holdout sets, risk diagnostics, and release-gate records. CLAP combines data validation, target/evidence normalization, reward/KL diagnosis, offline gates, and application-chain replay to decide whether an adapter is suitable for the target application chain. On five anonymized manufacturing-scenari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01846","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/2607.01846/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":"2026-07-03T01:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GE813znSwuBt7ocKj/QRKsvEWtshACJY8CxO40qPc27tD4Z8aNY2mxddntJQejnKDO2FY5y3erXW5dYqUPZAAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T17:31:15.026475Z"},"content_sha256":"9c62b91d80aef7be59bcda5d3ebccc36e6c552e0176bd23e26e21a6594fa598c","schema_version":"1.0","event_id":"sha256:9c62b91d80aef7be59bcda5d3ebccc36e6c552e0176bd23e26e21a6594fa598c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQWURHJKUOHFQPN6KRBGISYCNF/bundle.json","state_url":"https://pith.science/pith/DQWURHJKUOHFQPN6KRBGISYCNF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQWURHJKUOHFQPN6KRBGISYCNF/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":"2026-07-04T17:31:15Z","links":{"resolver":"https://pith.science/pith/DQWURHJKUOHFQPN6KRBGISYCNF","bundle":"https://pith.science/pith/DQWURHJKUOHFQPN6KRBGISYCNF/bundle.json","state":"https://pith.science/pith/DQWURHJKUOHFQPN6KRBGISYCNF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQWURHJKUOHFQPN6KRBGISYCNF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DQWURHJKUOHFQPN6KRBGISYCNF","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":"437bb105c0768600729f2f91021a9ea5f4680603a4c796a6ed7626b1a78948eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T08:07:56Z","title_canon_sha256":"ab2200601a9b209df64204db5dbf31f6fc79f15ca46e8fa833ce561d0160bef8"},"schema_version":"1.0","source":{"id":"2607.01846","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01846","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01846v1","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01846","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"DQWURHJKUOHF","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"DQWURHJKUOHFQPN6","created_at":"2026-07-03T01:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"DQWURHJK","created_at":"2026-07-03T01:17:31Z"}],"graph_snapshots":[{"event_id":"sha256:9c62b91d80aef7be59bcda5d3ebccc36e6c552e0176bd23e26e21a6594fa598c","target":"graph","created_at":"2026-07-03T01:17:31Z","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/2607.01846/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Domain agents often face noisy business data, uncertain post-training gains, offline/application mismatch, and adapter-release risk. This paper presents CLAP (Closed-Loop Agent Post-training), a closed-loop method that converts business data into structured SFT samples, decision-preference samples, holdout sets, risk diagnostics, and release-gate records. CLAP combines data validation, target/evidence normalization, reward/KL diagnosis, offline gates, and application-chain replay to decide whether an adapter is suitable for the target application chain. On five anonymized manufacturing-scenari","authors_text":"Chenyang Zhao, Fangfei Li, Feng Tian, Long Wang, Lv Guo, Zhiyue Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T08:07:56Z","title":"CLAP: Closed-Loop Training, Evaluation, and Release Control for Domain Agent Post-training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01846","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":"sha256:59ec3dd49225e2833a0f6381283f68ccbaf8dd89306a2a6fa16e33b86943c242","target":"record","created_at":"2026-07-03T01:17:31Z","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":"437bb105c0768600729f2f91021a9ea5f4680603a4c796a6ed7626b1a78948eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T08:07:56Z","title_canon_sha256":"ab2200601a9b209df64204db5dbf31f6fc79f15ca46e8fa833ce561d0160bef8"},"schema_version":"1.0","source":{"id":"2607.01846","kind":"arxiv","version":1}},"canonical_sha256":"1c2d489d2aa38e583dbe5442644b02695841cc98021c273af6013d5425b7ac1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c2d489d2aa38e583dbe5442644b02695841cc98021c273af6013d5425b7ac1e","first_computed_at":"2026-07-03T01:17:31.523662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:31.523662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bzdeu4Orh3nWHrkyfQh+wRMN16CKxD5QKe3LQ3ipcUpzGhQc6Sk6a5TJ/U9CrVncBQiVvs3VVmcWpWrcvpe6Bw==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:31.524047Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01846","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59ec3dd49225e2833a0f6381283f68ccbaf8dd89306a2a6fa16e33b86943c242","sha256:9c62b91d80aef7be59bcda5d3ebccc36e6c552e0176bd23e26e21a6594fa598c"],"state_sha256":"3c1338b80eb486fcb72a61908df3198a70a83b52277d81ff13105c4c1d67adff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I+teniT78z8Jn+nA1UYtDV0+H4cROYJ+QVPOksbvyac3pcvhNGx4IJIlvB+tvOuax1KDGKq2L7q4YL37J7hlBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T17:31:15.028597Z","bundle_sha256":"91ae90b92f4777783ea9068d2b33e41357efcacc6727e0ad1e305075632cab63"}}