{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ORSDNPKPMV4JTZA54UINFHNAMB","short_pith_number":"pith:ORSDNPKP","schema_version":"1.0","canonical_sha256":"746436bd4f657899e41de510d29da0607d89a03998636474537aed284b3eb231","source":{"kind":"arxiv","id":"2507.05100","version":1},"attestation_state":"computed","paper":{"title":"Understanding Everything as Code: A Taxonomy and Conceptual Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Haoran Wei, John Steinbacher, Nazim Madhavji","submitted_at":"2025-07-07T15:21:02Z","abstract_excerpt":"Background: Everything as Code (EaC) is an emerging paradigm aiming to codify all aspects of modern software systems. Despite its growing popularity, comprehensive industry standards and peer-reviewed research clarifying its scope and guiding its adoption remain scarce. Aims: This study systematically analyzes existing knowledge and perceptions of EaC, clarifies its scope and boundaries, and provides structured guidance for researchers and practitioners. Method: We conducted a large-scale multivocal literature review (MLR), synthesizing academic and grey literature sources. Findings were analy"},"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":"2507.05100","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-07T15:21:02Z","cross_cats_sorted":[],"title_canon_sha256":"d7cf0f35caacd81089121b8e79cf9a815c35f872d4314fe54485e0fc9fdb649f","abstract_canon_sha256":"e869091bf6b821509ac8196ac2882a708867e999637e826d2f7ffd863cddf89b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:09.034450Z","signature_b64":"4vL6uKxYFqqMk2/euJUsOL5pV/sobpW0+GJFySImFQoRtwq8FMdJgodU+ONS+oYK1Ts6L3tNvREgznEDESUxAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"746436bd4f657899e41de510d29da0607d89a03998636474537aed284b3eb231","last_reissued_at":"2026-07-05T11:33:09.034042Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:09.034042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Understanding Everything as Code: A Taxonomy and Conceptual Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Haoran Wei, John Steinbacher, Nazim Madhavji","submitted_at":"2025-07-07T15:21:02Z","abstract_excerpt":"Background: Everything as Code (EaC) is an emerging paradigm aiming to codify all aspects of modern software systems. Despite its growing popularity, comprehensive industry standards and peer-reviewed research clarifying its scope and guiding its adoption remain scarce. Aims: This study systematically analyzes existing knowledge and perceptions of EaC, clarifies its scope and boundaries, and provides structured guidance for researchers and practitioners. Method: We conducted a large-scale multivocal literature review (MLR), synthesizing academic and grey literature sources. Findings were analy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05100","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/2507.05100/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":"2507.05100","created_at":"2026-07-05T11:33:09.034090+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.05100v1","created_at":"2026-07-05T11:33:09.034090+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05100","created_at":"2026-07-05T11:33:09.034090+00:00"},{"alias_kind":"pith_short_12","alias_value":"ORSDNPKPMV4J","created_at":"2026-07-05T11:33:09.034090+00:00"},{"alias_kind":"pith_short_16","alias_value":"ORSDNPKPMV4JTZA5","created_at":"2026-07-05T11:33:09.034090+00:00"},{"alias_kind":"pith_short_8","alias_value":"ORSDNPKP","created_at":"2026-07-05T11:33:09.034090+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2512.11878","citing_title":"A Technical Policy Blueprint for Trustworthy Decentralized AI","ref_index":5,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB","json":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB.json","graph_json":"https://pith.science/api/pith-number/ORSDNPKPMV4JTZA54UINFHNAMB/graph.json","events_json":"https://pith.science/api/pith-number/ORSDNPKPMV4JTZA54UINFHNAMB/events.json","paper":"https://pith.science/paper/ORSDNPKP"},"agent_actions":{"view_html":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB","download_json":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB.json","view_paper":"https://pith.science/paper/ORSDNPKP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.05100&json=true","fetch_graph":"https://pith.science/api/pith-number/ORSDNPKPMV4JTZA54UINFHNAMB/graph.json","fetch_events":"https://pith.science/api/pith-number/ORSDNPKPMV4JTZA54UINFHNAMB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB/action/storage_attestation","attest_author":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB/action/author_attestation","sign_citation":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB/action/citation_signature","submit_replication":"https://pith.science/pith/ORSDNPKPMV4JTZA54UINFHNAMB/action/replication_record"}},"created_at":"2026-07-05T11:33:09.034090+00:00","updated_at":"2026-07-05T11:33:09.034090+00:00"}