{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MSLJBQWRUADE6KG7Y4MDIT52ZF","short_pith_number":"pith:MSLJBQWR","canonical_record":{"source":{"id":"2607.28497","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:42:51Z","cross_cats_sorted":["cs.CY","cs.GT"],"title_canon_sha256":"0d34bb0d96b2546a8cab4d32944f2753b3e61b424a0b6beb5a5b1cd369c6bb42","abstract_canon_sha256":"a673bb722c2e314182bbe6b80fe003564f540fcc1b662e3cc351212740e3f23f"},"schema_version":"1.0"},"canonical_sha256":"649690c2d1a0064f28dfc718344fbac94d757e962a3efb48de194d9df4cf26c0","source":{"kind":"arxiv","id":"2607.28497","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28497","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28497v1","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28497","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_12","alias_value":"MSLJBQWRUADE","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_16","alias_value":"MSLJBQWRUADE6KG7","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_8","alias_value":"MSLJBQWR","created_at":"2026-07-31T01:38:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MSLJBQWRUADE6KG7Y4MDIT52ZF","target":"record","payload":{"canonical_record":{"source":{"id":"2607.28497","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:42:51Z","cross_cats_sorted":["cs.CY","cs.GT"],"title_canon_sha256":"0d34bb0d96b2546a8cab4d32944f2753b3e61b424a0b6beb5a5b1cd369c6bb42","abstract_canon_sha256":"a673bb722c2e314182bbe6b80fe003564f540fcc1b662e3cc351212740e3f23f"},"schema_version":"1.0"},"canonical_sha256":"649690c2d1a0064f28dfc718344fbac94d757e962a3efb48de194d9df4cf26c0","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"649690c2d1a0064f28dfc718344fbac94d757e962a3efb48de194d9df4cf26c0","last_reissued_at":"2026-07-31T01:38:15.783484Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:38:15.783484Z"},"source_kind":"arxiv","source_id":"2607.28497","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":"2026-07-31T01:38:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i0ZU/53tx/bDyF3Akq0IoAfZ6siv65bHFz7uwnX4xz8eNHWsjYG7VjR2F7SbkhA4ON5tnrtFs0V03v243dP6AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:16:03.585980Z"},"content_sha256":"fc0d62915f09776ff26817035c019eb780d20389e0abf4b27acfa271b8dec6d9","schema_version":"1.0","event_id":"sha256:fc0d62915f09776ff26817035c019eb780d20389e0abf4b27acfa271b8dec6d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MSLJBQWRUADE6KG7Y4MDIT52ZF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Role of Causality in Algorithmic Recourse","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY","cs.GT"],"primary_cat":"cs.LG","authors_text":"Juba Ziani, Saber Salehkaleybar, Shahin Jabbari, Srikanth Avasarala, Varun Gupta","submitted_at":"2026-07-30T16:42:51Z","abstract_excerpt":"Algorithmic recourse aims to provide individuals with actionable changes to improve their predicted outcomes in high-stakes classification settings, such as loan and mortgage applications. However, most existing approaches focus only on flipping a model's prediction, without accounting for whether the recommended changes lead to genuine improvement in an individual's true qualifications or merely enable strategic gaming of the classifier. Consequently, deployed recourse policies can induce behavioral responses that degrade predictive accuracy and become ineffective after model retraining.\n  In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28497","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/2607.28497/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":"2026-07-31T01:38:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aACdEmDBbl7waeoHgGqAHbhni/jsPLM6JqnKHzbz995vuc6MsXLvyPtf3ruwBnls/r6bE59pHUEpAG8JXCGJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:16:03.586577Z"},"content_sha256":"cb5fabcf796529f19088448c396f20e82f214d744a8dc379dfcab953fad3453e","schema_version":"1.0","event_id":"sha256:cb5fabcf796529f19088448c396f20e82f214d744a8dc379dfcab953fad3453e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/bundle.json","state_url":"https://pith.science/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/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":"2026-08-04T20:16:03Z","links":{"resolver":"https://pith.science/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF","bundle":"https://pith.science/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/bundle.json","state":"https://pith.science/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MSLJBQWRUADE6KG7Y4MDIT52ZF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MSLJBQWRUADE6KG7Y4MDIT52ZF","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":"a673bb722c2e314182bbe6b80fe003564f540fcc1b662e3cc351212740e3f23f","cross_cats_sorted":["cs.CY","cs.GT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:42:51Z","title_canon_sha256":"0d34bb0d96b2546a8cab4d32944f2753b3e61b424a0b6beb5a5b1cd369c6bb42"},"schema_version":"1.0","source":{"id":"2607.28497","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28497","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28497v1","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28497","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_12","alias_value":"MSLJBQWRUADE","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_16","alias_value":"MSLJBQWRUADE6KG7","created_at":"2026-07-31T01:38:15Z"},{"alias_kind":"pith_short_8","alias_value":"MSLJBQWR","created_at":"2026-07-31T01:38:15Z"}],"graph_snapshots":[{"event_id":"sha256:cb5fabcf796529f19088448c396f20e82f214d744a8dc379dfcab953fad3453e","target":"graph","created_at":"2026-07-31T01:38:15Z","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/2607.28497/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Algorithmic recourse aims to provide individuals with actionable changes to improve their predicted outcomes in high-stakes classification settings, such as loan and mortgage applications. However, most existing approaches focus only on flipping a model's prediction, without accounting for whether the recommended changes lead to genuine improvement in an individual's true qualifications or merely enable strategic gaming of the classifier. Consequently, deployed recourse policies can induce behavioral responses that degrade predictive accuracy and become ineffective after model retraining.\n  In","authors_text":"Juba Ziani, Saber Salehkaleybar, Shahin Jabbari, Srikanth Avasarala, Varun Gupta","cross_cats":["cs.CY","cs.GT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:42:51Z","title":"The Role of Causality in Algorithmic Recourse"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28497","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:fc0d62915f09776ff26817035c019eb780d20389e0abf4b27acfa271b8dec6d9","target":"record","created_at":"2026-07-31T01:38:15Z","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":"a673bb722c2e314182bbe6b80fe003564f540fcc1b662e3cc351212740e3f23f","cross_cats_sorted":["cs.CY","cs.GT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:42:51Z","title_canon_sha256":"0d34bb0d96b2546a8cab4d32944f2753b3e61b424a0b6beb5a5b1cd369c6bb42"},"schema_version":"1.0","source":{"id":"2607.28497","kind":"arxiv","version":1}},"canonical_sha256":"649690c2d1a0064f28dfc718344fbac94d757e962a3efb48de194d9df4cf26c0","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"649690c2d1a0064f28dfc718344fbac94d757e962a3efb48de194d9df4cf26c0","first_computed_at":"2026-07-31T01:38:15.783484Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:38:15.783484Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.28497","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc0d62915f09776ff26817035c019eb780d20389e0abf4b27acfa271b8dec6d9","sha256:cb5fabcf796529f19088448c396f20e82f214d744a8dc379dfcab953fad3453e"],"state_sha256":"ba99acbc75a9e063d2ec6026ea971756732d2a9daaefc6a39bc2119b2345baad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k3aQCaEo6Z78uVPKqnjXiR8gyzKJ2SY28Tf2d0IH0cqZPIm4+f3QGVO/FL16NPeQBd6PlpVuIAjvbKeH5PFLCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T20:16:03.591120Z","bundle_sha256":"59ded1b7bcebfd4f3547e068f0af838f9e51b1685ff7914c8e2be644743d5ed8"}}