{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ALEAAYBHE47757HX7IZHBO2BGO","short_pith_number":"pith:ALEAAYBH","schema_version":"1.0","canonical_sha256":"02c8006027273ffefcf7fa3270bb41339fb4edfbb912106263aca87ae2bf7b56","source":{"kind":"arxiv","id":"2607.27578","version":1},"attestation_state":"computed","paper":{"title":"What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Sandeco Macedo","submitted_at":"2026-07-30T01:42:09Z","abstract_excerpt":"Prompts stopped being isolated strings some time ago. In real systems, one model call feeds another, retrieval interleaves with generation, routers branch, and aggregators merge parallel results. Practice converged on a single structure to hold this together: the graph. Frameworks such as LangGraph, DSPy, and Prompt Flow expose it openly, and research systems already optimize it automatically. The vocabulary, however, lags behind. Graph names, variously, a reasoning topology inside one sampling strategy, a multi-agent conversation, or an orchestration artifact, while prompt engineering still e"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.27578","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-30T01:42:09Z","cross_cats_sorted":[],"title_canon_sha256":"327394a7fc1ea759b8753c7cc23296d76fad8fe44b505f4eda1cbcddd170a2e0","abstract_canon_sha256":"36e48254cb3800d3751a7ccdffb1c0b2990c76db6b7204e7eb87c5ce32ac490e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02c8006027273ffefcf7fa3270bb41339fb4edfbb912106263aca87ae2bf7b56","last_reissued_at":"2026-07-31T01:26:30.034428Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:26:30.034428Z"},"graph_snapshot":{"paper":{"title":"What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Sandeco Macedo","submitted_at":"2026-07-30T01:42:09Z","abstract_excerpt":"Prompts stopped being isolated strings some time ago. In real systems, one model call feeds another, retrieval interleaves with generation, routers branch, and aggregators merge parallel results. Practice converged on a single structure to hold this together: the graph. Frameworks such as LangGraph, DSPy, and Prompt Flow expose it openly, and research systems already optimize it automatically. The vocabulary, however, lags behind. Graph names, variously, a reasoning topology inside one sampling strategy, a multi-agent conversation, or an orchestration artifact, while prompt engineering still e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27578","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/2607.27578/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.27578","created_at":"2026-07-31T01:26:30.037943+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.27578v1","created_at":"2026-07-31T01:26:30.037943+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27578","created_at":"2026-07-31T01:26:30.037943+00:00"},{"alias_kind":"pith_short_12","alias_value":"ALEAAYBHE477","created_at":"2026-07-31T01:26:30.037943+00:00"},{"alias_kind":"pith_short_16","alias_value":"ALEAAYBHE47757HX","created_at":"2026-07-31T01:26:30.037943+00:00"},{"alias_kind":"pith_short_8","alias_value":"ALEAAYBH","created_at":"2026-07-31T01:26:30.037943+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO","json":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO.json","graph_json":"https://pith.science/api/pith-number/ALEAAYBHE47757HX7IZHBO2BGO/graph.json","events_json":"https://pith.science/api/pith-number/ALEAAYBHE47757HX7IZHBO2BGO/events.json","paper":"https://pith.science/paper/ALEAAYBH"},"agent_actions":{"view_html":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO","download_json":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO.json","view_paper":"https://pith.science/paper/ALEAAYBH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.27578&json=true","fetch_graph":"https://pith.science/api/pith-number/ALEAAYBHE47757HX7IZHBO2BGO/graph.json","fetch_events":"https://pith.science/api/pith-number/ALEAAYBHE47757HX7IZHBO2BGO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO/action/storage_attestation","attest_author":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO/action/author_attestation","sign_citation":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO/action/citation_signature","submit_replication":"https://pith.science/pith/ALEAAYBHE47757HX7IZHBO2BGO/action/replication_record"}},"created_at":"2026-07-31T01:26:30.037943+00:00","updated_at":"2026-07-31T01:26:30.037943+00:00"}