{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MTVLO4DYI3LT43UT3QCU6TPM6W","short_pith_number":"pith:MTVLO4DY","schema_version":"1.0","canonical_sha256":"64eab7707846d73e6e93dc054f4decf5b364e82e6e09206c3c722c50878f58c2","source":{"kind":"arxiv","id":"2606.21015","version":1},"attestation_state":"computed","paper":{"title":"The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Tanmay Sah, Vishal Srivastava","submitted_at":"2026-06-19T00:58:01Z","abstract_excerpt":"Organizations deploying AI face two fundamental governance challenges: managing AI risk and sustaining AI value. Both depend on evidence whose sufficiency cannot be taken for granted. We call the shared underlying challenge the AI Evaluability Gap: the condition in which organizations lack sufficient evidence to support high-confidence governance decisions regarding either risk or value.\n  We argue that this gap reflects a category error in current practice. Existing governance approaches focus primarily on properties of systems, such as safety, fairness, reliability, compliance, and value, wh"},"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":"2606.21015","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-19T00:58:01Z","cross_cats_sorted":[],"title_canon_sha256":"4cc39bfd9934ef6ddab06610194cf0c3b889a7e8fd84c54005b11907b287fdba","abstract_canon_sha256":"9e75a386db4d1fe235aaee2de3682f0c4f1cc29eb7d539e2e6bbb888bef972de"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:12:26.911919Z","signature_b64":"bfanZ0JVQf1wl13Syac7sDAS0qoP3Likal/6np5hbAGg8+nhKU1Grlz3NEzHDn2i113o5TJoxa/zS6PLfp/vBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64eab7707846d73e6e93dc054f4decf5b364e82e6e09206c3c722c50878f58c2","last_reissued_at":"2026-06-23T01:12:26.911377Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:12:26.911377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Tanmay Sah, Vishal Srivastava","submitted_at":"2026-06-19T00:58:01Z","abstract_excerpt":"Organizations deploying AI face two fundamental governance challenges: managing AI risk and sustaining AI value. Both depend on evidence whose sufficiency cannot be taken for granted. We call the shared underlying challenge the AI Evaluability Gap: the condition in which organizations lack sufficient evidence to support high-confidence governance decisions regarding either risk or value.\n  We argue that this gap reflects a category error in current practice. Existing governance approaches focus primarily on properties of systems, such as safety, fairness, reliability, compliance, and value, wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21015","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/2606.21015/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":"2606.21015","created_at":"2026-06-23T01:12:26.911459+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.21015v1","created_at":"2026-06-23T01:12:26.911459+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21015","created_at":"2026-06-23T01:12:26.911459+00:00"},{"alias_kind":"pith_short_12","alias_value":"MTVLO4DYI3LT","created_at":"2026-06-23T01:12:26.911459+00:00"},{"alias_kind":"pith_short_16","alias_value":"MTVLO4DYI3LT43UT","created_at":"2026-06-23T01:12:26.911459+00:00"},{"alias_kind":"pith_short_8","alias_value":"MTVLO4DY","created_at":"2026-06-23T01:12:26.911459+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/MTVLO4DYI3LT43UT3QCU6TPM6W","json":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W.json","graph_json":"https://pith.science/api/pith-number/MTVLO4DYI3LT43UT3QCU6TPM6W/graph.json","events_json":"https://pith.science/api/pith-number/MTVLO4DYI3LT43UT3QCU6TPM6W/events.json","paper":"https://pith.science/paper/MTVLO4DY"},"agent_actions":{"view_html":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W","download_json":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W.json","view_paper":"https://pith.science/paper/MTVLO4DY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.21015&json=true","fetch_graph":"https://pith.science/api/pith-number/MTVLO4DYI3LT43UT3QCU6TPM6W/graph.json","fetch_events":"https://pith.science/api/pith-number/MTVLO4DYI3LT43UT3QCU6TPM6W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W/action/storage_attestation","attest_author":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W/action/author_attestation","sign_citation":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W/action/citation_signature","submit_replication":"https://pith.science/pith/MTVLO4DYI3LT43UT3QCU6TPM6W/action/replication_record"}},"created_at":"2026-06-23T01:12:26.911459+00:00","updated_at":"2026-06-23T01:12:26.911459+00:00"}