{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:O7NKTCQFG7WKX43KCG67Q7YZRO","short_pith_number":"pith:O7NKTCQF","canonical_record":{"source":{"id":"2605.27163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T15:22:05Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"72401d129161fd23f0b9810c827757360d5ac6ae0f9830467253dcffee4f5f95","abstract_canon_sha256":"7f973e776860b3c1a4af7c69618c7c89ca4ccab7a372901fb443cc14a5cd42f8"},"schema_version":"1.0"},"canonical_sha256":"77daa98a0537ecabf36a11bdf87f198bbb3269e038b5d0b60026a92caa997216","source":{"kind":"arxiv","id":"2605.27163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27163","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27163v1","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27163","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_12","alias_value":"O7NKTCQFG7WK","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_16","alias_value":"O7NKTCQFG7WKX43K","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_8","alias_value":"O7NKTCQF","created_at":"2026-05-27T02:05:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:O7NKTCQFG7WKX43KCG67Q7YZRO","target":"record","payload":{"canonical_record":{"source":{"id":"2605.27163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T15:22:05Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"72401d129161fd23f0b9810c827757360d5ac6ae0f9830467253dcffee4f5f95","abstract_canon_sha256":"7f973e776860b3c1a4af7c69618c7c89ca4ccab7a372901fb443cc14a5cd42f8"},"schema_version":"1.0"},"canonical_sha256":"77daa98a0537ecabf36a11bdf87f198bbb3269e038b5d0b60026a92caa997216","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T02:05:45.116630Z","signature_b64":"Yq7TnB4qnUdCKz48E8ZzkI02d6ILeHjsZuXI5UR0n8qAmSaEgJdA9XV7KZFRDKfIf+PDJ3EAjJwJcjt4F0YfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77daa98a0537ecabf36a11bdf87f198bbb3269e038b5d0b60026a92caa997216","last_reissued_at":"2026-05-27T02:05:45.115116Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T02:05:45.115116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.27163","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":"2026-05-27T02:05:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m+YS9fp9ixH6ClnQ7TwkHAs2XlupLU8XvTFV3vyhBPxevXpxaubJ4yAgsLHTZXqtAKlSJzV5aoYcHhD4aUxNAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T04:14:10.572452Z"},"content_sha256":"140a341a5c140a03e895522787b5c17e87e0152dc3da9fddce230bbec49f2c5a","schema_version":"1.0","event_id":"sha256:140a341a5c140a03e895522787b5c17e87e0152dc3da9fddce230bbec49f2c5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:O7NKTCQFG7WKX43KCG67Q7YZRO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Role of Causal Features in Strategic Classification for Robustness and Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Antonio Gois, Dhanya Sridhar, Nidhi Hegde, Nir Rosenfeld, Simon Lacoste-Julien, Sophia Gunluk","submitted_at":"2026-05-26T15:22:05Z","abstract_excerpt":"In strategic classification, an institution (e.g., a bank) anticipates adaptation from users who change their features to increase utility in a classification task (e.g., loan repayment). Since a key challenge is the distribution shift induced by users, we turn to causal models, which have been shown to bound the worst-case out-of-distribution (OOD) risk, and establish several new results that link causality and strategic classification. First, we show that causal classification leads to optimal classification error after any sufficiently large adaptation, when the noise is bounded in a certai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27163","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/2605.27163/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":"2026-05-27T02:05:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VNOhhzfGM3Lh5KCVGdVtcfCmZdw1lCB1G7seo3+zwQ9HLSISiQ39Uz3gtRGQCF5Xtfkmrw8j7LgL6NYlzPQCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T04:14:10.573115Z"},"content_sha256":"86e921aaa5d85a49fba496e56399573c851a99261d1ef8cb18a9c07bde4b9df2","schema_version":"1.0","event_id":"sha256:86e921aaa5d85a49fba496e56399573c851a99261d1ef8cb18a9c07bde4b9df2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/bundle.json","state_url":"https://pith.science/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/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":"2026-06-08T04:14:10Z","links":{"resolver":"https://pith.science/pith/O7NKTCQFG7WKX43KCG67Q7YZRO","bundle":"https://pith.science/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/bundle.json","state":"https://pith.science/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O7NKTCQFG7WKX43KCG67Q7YZRO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O7NKTCQFG7WKX43KCG67Q7YZRO","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":"7f973e776860b3c1a4af7c69618c7c89ca4ccab7a372901fb443cc14a5cd42f8","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T15:22:05Z","title_canon_sha256":"72401d129161fd23f0b9810c827757360d5ac6ae0f9830467253dcffee4f5f95"},"schema_version":"1.0","source":{"id":"2605.27163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27163","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27163v1","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27163","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_12","alias_value":"O7NKTCQFG7WK","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_16","alias_value":"O7NKTCQFG7WKX43K","created_at":"2026-05-27T02:05:45Z"},{"alias_kind":"pith_short_8","alias_value":"O7NKTCQF","created_at":"2026-05-27T02:05:45Z"}],"graph_snapshots":[{"event_id":"sha256:86e921aaa5d85a49fba496e56399573c851a99261d1ef8cb18a9c07bde4b9df2","target":"graph","created_at":"2026-05-27T02:05:45Z","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/2605.27163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In strategic classification, an institution (e.g., a bank) anticipates adaptation from users who change their features to increase utility in a classification task (e.g., loan repayment). Since a key challenge is the distribution shift induced by users, we turn to causal models, which have been shown to bound the worst-case out-of-distribution (OOD) risk, and establish several new results that link causality and strategic classification. First, we show that causal classification leads to optimal classification error after any sufficiently large adaptation, when the noise is bounded in a certai","authors_text":"Antonio Gois, Dhanya Sridhar, Nidhi Hegde, Nir Rosenfeld, Simon Lacoste-Julien, Sophia Gunluk","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T15:22:05Z","title":"The Role of Causal Features in Strategic Classification for Robustness and Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27163","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":"sha256:140a341a5c140a03e895522787b5c17e87e0152dc3da9fddce230bbec49f2c5a","target":"record","created_at":"2026-05-27T02:05:45Z","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":"7f973e776860b3c1a4af7c69618c7c89ca4ccab7a372901fb443cc14a5cd42f8","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T15:22:05Z","title_canon_sha256":"72401d129161fd23f0b9810c827757360d5ac6ae0f9830467253dcffee4f5f95"},"schema_version":"1.0","source":{"id":"2605.27163","kind":"arxiv","version":1}},"canonical_sha256":"77daa98a0537ecabf36a11bdf87f198bbb3269e038b5d0b60026a92caa997216","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77daa98a0537ecabf36a11bdf87f198bbb3269e038b5d0b60026a92caa997216","first_computed_at":"2026-05-27T02:05:45.115116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T02:05:45.115116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yq7TnB4qnUdCKz48E8ZzkI02d6ILeHjsZuXI5UR0n8qAmSaEgJdA9XV7KZFRDKfIf+PDJ3EAjJwJcjt4F0YfAw==","signature_status":"signed_v1","signed_at":"2026-05-27T02:05:45.116630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:140a341a5c140a03e895522787b5c17e87e0152dc3da9fddce230bbec49f2c5a","sha256:86e921aaa5d85a49fba496e56399573c851a99261d1ef8cb18a9c07bde4b9df2"],"state_sha256":"abbeaf15425582cbc35460f1cb52518af19bb85bb92dac040ce1a934e23ed2a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CZrQIBhudJymPJDjXqquSY6ytyGsFvHxLJBew+NuX/afYutdRi8etj6OiPNKIC7QNtgEadH+a8xPZAFdfSnMAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T04:14:10.577183Z","bundle_sha256":"9c4ccf7bb9c4835c0e0667f805b2928ad1b2de540ade0a8d97b6ed40c4f45fb2"}}