{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DFQ4JPDGDLH52BNOUEHKLISLIC","short_pith_number":"pith:DFQ4JPDG","canonical_record":{"source":{"id":"2607.29532","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-31T15:30:17Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"d5420433b8e972f08ac5200e0c30b21a5bd71f3c4a4bada1b0556e1d2eef3ad0","abstract_canon_sha256":"d30b36ff3c2bf5e8d9f94139fc9a45300a3866de54c660deae00217557f4fb0b"},"schema_version":"1.0"},"canonical_sha256":"1961c4bc661acfdd05aea10ea5a24b408b6661ff8e1d228e79a7f857777ac573","source":{"kind":"arxiv","id":"2607.29532","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29532","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29532v1","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29532","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_12","alias_value":"DFQ4JPDGDLH5","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_16","alias_value":"DFQ4JPDGDLH52BNO","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_8","alias_value":"DFQ4JPDG","created_at":"2026-08-03T01:37:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DFQ4JPDGDLH52BNOUEHKLISLIC","target":"record","payload":{"canonical_record":{"source":{"id":"2607.29532","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-31T15:30:17Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"d5420433b8e972f08ac5200e0c30b21a5bd71f3c4a4bada1b0556e1d2eef3ad0","abstract_canon_sha256":"d30b36ff3c2bf5e8d9f94139fc9a45300a3866de54c660deae00217557f4fb0b"},"schema_version":"1.0"},"canonical_sha256":"1961c4bc661acfdd05aea10ea5a24b408b6661ff8e1d228e79a7f857777ac573","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:37:37.561482Z","signature_b64":"yfSj84XI4RQL6l96LO4CWngrOmhOoktZZRC0v2ejWwJLE9/9hHvqL9PqkCfXDDq7fV9YPoOZ+HStU8OUuSluDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1961c4bc661acfdd05aea10ea5a24b408b6661ff8e1d228e79a7f857777ac573","last_reissued_at":"2026-08-03T01:37:37.559955Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:37:37.559955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.29532","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":"2026-08-03T01:37:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wJnBAQYcJNZZqxj3auEIrnqBvNwipN+EP2pjy25ZR6iuYHsW8fd8Rn/j2K6XUkRnZo3MH/zKi0lJhM1oHs5qBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:50:16.573581Z"},"content_sha256":"709dd9981f73810d47c82b15687f31d627be51f9842afbf57111d06d33871c95","schema_version":"1.0","event_id":"sha256:709dd9981f73810d47c82b15687f31d627be51f9842afbf57111d06d33871c95"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DFQ4JPDGDLH52BNOUEHKLISLIC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Instrumental Variables: Sharp Rates and Inference under Adversarial Contamination","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"econ.EM","authors_text":"Anders Bredahl Kock, David Preinerstorfer","submitted_at":"2026-07-31T15:30:17Z","abstract_excerpt":"Because 2SLS is built from sample averages, a small number of observations can have a disproportionate effect on estimates and inference. We introduce W-2SLS, a simple drop-in robustification that replaces these averages by quantile-winsorized means. We analyze W-2SLS under adversarial contamination, which permits both the identities and the reported values of the contaminated observations to depend on the realized clean sample and therefore accommodates targeted or strategic manipulation. Under finite $m$-th moments, W-2SLS attains the minimax-sharp rate $\\eta_{n}^{1-\\frac1m}+n^{-1/2}$, where"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29532","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/2607.29532/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":"2026-08-03T01:37:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M1rfQBPyHP5z8n0wA3TLSYvLaKrZMvt4dRyeQlgr6mB8QAtv051Si2qZdvkxQ14JC2+7Wup+sGhHf5BQKODfBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:50:16.574087Z"},"content_sha256":"644c095623a1f62857adca527c830a7572d57389c44c77e46aa70ff98c71f59f","schema_version":"1.0","event_id":"sha256:644c095623a1f62857adca527c830a7572d57389c44c77e46aa70ff98c71f59f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/bundle.json","state_url":"https://pith.science/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/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":"2026-08-09T01:50:16Z","links":{"resolver":"https://pith.science/pith/DFQ4JPDGDLH52BNOUEHKLISLIC","bundle":"https://pith.science/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/bundle.json","state":"https://pith.science/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DFQ4JPDGDLH52BNOUEHKLISLIC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DFQ4JPDGDLH52BNOUEHKLISLIC","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":"d30b36ff3c2bf5e8d9f94139fc9a45300a3866de54c660deae00217557f4fb0b","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-31T15:30:17Z","title_canon_sha256":"d5420433b8e972f08ac5200e0c30b21a5bd71f3c4a4bada1b0556e1d2eef3ad0"},"schema_version":"1.0","source":{"id":"2607.29532","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29532","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29532v1","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29532","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_12","alias_value":"DFQ4JPDGDLH5","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_16","alias_value":"DFQ4JPDGDLH52BNO","created_at":"2026-08-03T01:37:37Z"},{"alias_kind":"pith_short_8","alias_value":"DFQ4JPDG","created_at":"2026-08-03T01:37:37Z"}],"graph_snapshots":[{"event_id":"sha256:644c095623a1f62857adca527c830a7572d57389c44c77e46aa70ff98c71f59f","target":"graph","created_at":"2026-08-03T01:37:37Z","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/2607.29532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Because 2SLS is built from sample averages, a small number of observations can have a disproportionate effect on estimates and inference. We introduce W-2SLS, a simple drop-in robustification that replaces these averages by quantile-winsorized means. We analyze W-2SLS under adversarial contamination, which permits both the identities and the reported values of the contaminated observations to depend on the realized clean sample and therefore accommodates targeted or strategic manipulation. Under finite $m$-th moments, W-2SLS attains the minimax-sharp rate $\\eta_{n}^{1-\\frac1m}+n^{-1/2}$, where","authors_text":"Anders Bredahl Kock, David Preinerstorfer","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-31T15:30:17Z","title":"Robust Instrumental Variables: Sharp Rates and Inference under Adversarial Contamination"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29532","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":"sha256:709dd9981f73810d47c82b15687f31d627be51f9842afbf57111d06d33871c95","target":"record","created_at":"2026-08-03T01:37:37Z","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":"d30b36ff3c2bf5e8d9f94139fc9a45300a3866de54c660deae00217557f4fb0b","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"econ.EM","submitted_at":"2026-07-31T15:30:17Z","title_canon_sha256":"d5420433b8e972f08ac5200e0c30b21a5bd71f3c4a4bada1b0556e1d2eef3ad0"},"schema_version":"1.0","source":{"id":"2607.29532","kind":"arxiv","version":1}},"canonical_sha256":"1961c4bc661acfdd05aea10ea5a24b408b6661ff8e1d228e79a7f857777ac573","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1961c4bc661acfdd05aea10ea5a24b408b6661ff8e1d228e79a7f857777ac573","first_computed_at":"2026-08-03T01:37:37.559955Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:37:37.559955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yfSj84XI4RQL6l96LO4CWngrOmhOoktZZRC0v2ejWwJLE9/9hHvqL9PqkCfXDDq7fV9YPoOZ+HStU8OUuSluDw==","signature_status":"signed_v1","signed_at":"2026-08-03T01:37:37.561482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29532","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:709dd9981f73810d47c82b15687f31d627be51f9842afbf57111d06d33871c95","sha256:644c095623a1f62857adca527c830a7572d57389c44c77e46aa70ff98c71f59f"],"state_sha256":"6a7407d5d9fb1e807eb0bafdee792879c06a82b747db305c7e6f1c7b64941ad3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bcwp/+bAmh18GEptshQJ0s5I1WR6oMk8bTRF3Ux+n+PDfFSCKxT45qnZuxV2BiD3+l4OorUTs3oUtDsGLMEjBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:50:16.577672Z","bundle_sha256":"87104decf543667d059cb40e34e3182c88dfeb0a563a1ca2deedcd7e6aa5163f"}}