{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:A6TRHXAB3PWI23ORTOTED772OS","short_pith_number":"pith:A6TRHXAB","schema_version":"1.0","canonical_sha256":"07a713dc01dbec8d6dd19ba641fffa74a1867f427fd10ad0a9a32be5a9e2ecb1","source":{"kind":"arxiv","id":"2607.10276","version":1},"attestation_state":"computed","paper":{"title":"Bayesian Robustness Values for Modern Causal Panel Estimators via Riesz Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["econ.EM"],"primary_cat":"stat.ME","authors_text":"Makoto Nakakita, Takahiro Hoshino","submitted_at":"2026-07-11T12:15:21Z","abstract_excerpt":"We develop a sensitivity-analysis workflow for causal panel estimators, covering synthetic difference-in-differences, matrix completion, fixed-effect imputation, and group-time average treatment effects. The workflow combines Riesz-representation omitted-variable-bias bounds with partial-$R^2$ robustness values and separates two reporting routes. Route A gives a direct sensitivity profile for additive or projected confounding summarized by outcome-side and Riesz-side partial $R^2$ values. Route B treats observed-covariate benchmarks as auxiliary data only when benchmark-count, alpha-side align"},"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":"2607.10276","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-07-11T12:15:21Z","cross_cats_sorted":["econ.EM"],"title_canon_sha256":"9a82b51134a63b557f6cc31402bbfc7bfd7dad37f6a2b412d5346d4dc655f718","abstract_canon_sha256":"a8a1e5cb5ea3bd07e661e59bbc263f0cd496a8f49942822e9edf983ef7668c15"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:20:34.190611Z","signature_b64":"pQBDL36MbLF233gqhFVdK6E6CU4YIyNyWlOzfbCYZwIDCIGJTs58T+gy1lFm9CNo/CnVQnhrjFmARn+l6dLTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"07a713dc01dbec8d6dd19ba641fffa74a1867f427fd10ad0a9a32be5a9e2ecb1","last_reissued_at":"2026-07-14T01:20:34.189728Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:20:34.189728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Robustness Values for Modern Causal Panel Estimators via Riesz Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["econ.EM"],"primary_cat":"stat.ME","authors_text":"Makoto Nakakita, Takahiro Hoshino","submitted_at":"2026-07-11T12:15:21Z","abstract_excerpt":"We develop a sensitivity-analysis workflow for causal panel estimators, covering synthetic difference-in-differences, matrix completion, fixed-effect imputation, and group-time average treatment effects. The workflow combines Riesz-representation omitted-variable-bias bounds with partial-$R^2$ robustness values and separates two reporting routes. Route A gives a direct sensitivity profile for additive or projected confounding summarized by outcome-side and Riesz-side partial $R^2$ values. Route B treats observed-covariate benchmarks as auxiliary data only when benchmark-count, alpha-side align"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10276","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/2607.10276/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":"2607.10276","created_at":"2026-07-14T01:20:34.190172+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10276v1","created_at":"2026-07-14T01:20:34.190172+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10276","created_at":"2026-07-14T01:20:34.190172+00:00"},{"alias_kind":"pith_short_12","alias_value":"A6TRHXAB3PWI","created_at":"2026-07-14T01:20:34.190172+00:00"},{"alias_kind":"pith_short_16","alias_value":"A6TRHXAB3PWI23OR","created_at":"2026-07-14T01:20:34.190172+00:00"},{"alias_kind":"pith_short_8","alias_value":"A6TRHXAB","created_at":"2026-07-14T01:20:34.190172+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/A6TRHXAB3PWI23ORTOTED772OS","json":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS.json","graph_json":"https://pith.science/api/pith-number/A6TRHXAB3PWI23ORTOTED772OS/graph.json","events_json":"https://pith.science/api/pith-number/A6TRHXAB3PWI23ORTOTED772OS/events.json","paper":"https://pith.science/paper/A6TRHXAB"},"agent_actions":{"view_html":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS","download_json":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS.json","view_paper":"https://pith.science/paper/A6TRHXAB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10276&json=true","fetch_graph":"https://pith.science/api/pith-number/A6TRHXAB3PWI23ORTOTED772OS/graph.json","fetch_events":"https://pith.science/api/pith-number/A6TRHXAB3PWI23ORTOTED772OS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS/action/storage_attestation","attest_author":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS/action/author_attestation","sign_citation":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS/action/citation_signature","submit_replication":"https://pith.science/pith/A6TRHXAB3PWI23ORTOTED772OS/action/replication_record"}},"created_at":"2026-07-14T01:20:34.190172+00:00","updated_at":"2026-07-14T01:20:34.190172+00:00"}