{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SPWIKITYNQMDRJKD34RLL7KTIJ","short_pith_number":"pith:SPWIKITY","canonical_record":{"source":{"id":"2402.15188","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T08:36:28Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"ae297364da6c1e8afaa6cc9ed13eca2ba362c11550a37e569fb0df366ce253bd","abstract_canon_sha256":"5d0afcad9677bf5edb422223347b936ee3e2f800dfed59f2199322a5d5c02b29"},"schema_version":"1.0"},"canonical_sha256":"93ec8522786c1838a543df22b5fd53426b67ba653472085cd5b281591e4f93dd","source":{"kind":"arxiv","id":"2402.15188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15188","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15188v1","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15188","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_12","alias_value":"SPWIKITYNQMD","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_16","alias_value":"SPWIKITYNQMDRJKD","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_8","alias_value":"SPWIKITY","created_at":"2026-07-05T07:48:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SPWIKITYNQMDRJKD34RLL7KTIJ","target":"record","payload":{"canonical_record":{"source":{"id":"2402.15188","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T08:36:28Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"ae297364da6c1e8afaa6cc9ed13eca2ba362c11550a37e569fb0df366ce253bd","abstract_canon_sha256":"5d0afcad9677bf5edb422223347b936ee3e2f800dfed59f2199322a5d5c02b29"},"schema_version":"1.0"},"canonical_sha256":"93ec8522786c1838a543df22b5fd53426b67ba653472085cd5b281591e4f93dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:37.046211Z","signature_b64":"NmQTnUrQo4NvrRopjKj7AY7PvGDdRP889aGdz9ogsEzpJLNUuZHogFz1v04mcI1U+cJ34eD3VYaRpTQeCxdFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93ec8522786c1838a543df22b5fd53426b67ba653472085cd5b281591e4f93dd","last_reissued_at":"2026-07-05T07:48:37.045759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:37.045759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.15188","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":"2026-07-05T07:48:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tki940jsDTPOXA/G70y8/jQqFgqNHvnNrTPLFYoe96OclPSp4E8Qzj7uUq+ftl0kNn1DGzQ/rUmpPSGRSDUhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:56:24.846411Z"},"content_sha256":"bd4e8d10f16bae83af223b65c4cbdc8630e5d6083a3d9f9f58272fce6312dbe9","schema_version":"1.0","event_id":"sha256:bd4e8d10f16bae83af223b65c4cbdc8630e5d6083a3d9f9f58272fce6312dbe9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SPWIKITYNQMDRJKD34RLL7KTIJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.LG","authors_text":"Byeongnoh Kim, Dabeen Lee, Jeeyong Lee, Junyeop Kwon, Suhyun Chae, Sungwoo Park","submitted_at":"2024-02-23T08:36:28Z","abstract_excerpt":"This paper studies performative risk minimization, a formulation of stochastic optimization under decision-dependent distributions. We consider the general case where the performative risk can be non-convex, for which we develop efficient parameter-free optimistic optimization-based methods. Our algorithms significantly improve upon the existing Lipschitz bandit-based method in many aspects. In particular, our framework does not require knowledge about the sensitivity parameter of the distribution map and the Lipshitz constant of the loss function. This makes our framework practically favorabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15188","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/2402.15188/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":"2026-07-05T07:48:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hxwwj/nksPufSVx7rV8o1Q8B3Sb7faFULKhEBFyszsDCPRCPkHkSHZQ8rKgvoZY6VqeRwLOH7R/rju/Fo/bUBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:56:24.846782Z"},"content_sha256":"f7c37107292824267fb398fd15507780914ecf139af3f33986508bcb212110c4","schema_version":"1.0","event_id":"sha256:f7c37107292824267fb398fd15507780914ecf139af3f33986508bcb212110c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/bundle.json","state_url":"https://pith.science/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/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":"2026-07-06T20:56:24Z","links":{"resolver":"https://pith.science/pith/SPWIKITYNQMDRJKD34RLL7KTIJ","bundle":"https://pith.science/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/bundle.json","state":"https://pith.science/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPWIKITYNQMDRJKD34RLL7KTIJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SPWIKITYNQMDRJKD34RLL7KTIJ","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":"5d0afcad9677bf5edb422223347b936ee3e2f800dfed59f2199322a5d5c02b29","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T08:36:28Z","title_canon_sha256":"ae297364da6c1e8afaa6cc9ed13eca2ba362c11550a37e569fb0df366ce253bd"},"schema_version":"1.0","source":{"id":"2402.15188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.15188","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.15188v1","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.15188","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_12","alias_value":"SPWIKITYNQMD","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_16","alias_value":"SPWIKITYNQMDRJKD","created_at":"2026-07-05T07:48:37Z"},{"alias_kind":"pith_short_8","alias_value":"SPWIKITY","created_at":"2026-07-05T07:48:37Z"}],"graph_snapshots":[{"event_id":"sha256:f7c37107292824267fb398fd15507780914ecf139af3f33986508bcb212110c4","target":"graph","created_at":"2026-07-05T07:48:37Z","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/2402.15188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies performative risk minimization, a formulation of stochastic optimization under decision-dependent distributions. We consider the general case where the performative risk can be non-convex, for which we develop efficient parameter-free optimistic optimization-based methods. Our algorithms significantly improve upon the existing Lipschitz bandit-based method in many aspects. In particular, our framework does not require knowledge about the sensitivity parameter of the distribution map and the Lipshitz constant of the loss function. This makes our framework practically favorabl","authors_text":"Byeongnoh Kim, Dabeen Lee, Jeeyong Lee, Junyeop Kwon, Suhyun Chae, Sungwoo Park","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T08:36:28Z","title":"Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.15188","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:bd4e8d10f16bae83af223b65c4cbdc8630e5d6083a3d9f9f58272fce6312dbe9","target":"record","created_at":"2026-07-05T07:48:37Z","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":"5d0afcad9677bf5edb422223347b936ee3e2f800dfed59f2199322a5d5c02b29","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-23T08:36:28Z","title_canon_sha256":"ae297364da6c1e8afaa6cc9ed13eca2ba362c11550a37e569fb0df366ce253bd"},"schema_version":"1.0","source":{"id":"2402.15188","kind":"arxiv","version":1}},"canonical_sha256":"93ec8522786c1838a543df22b5fd53426b67ba653472085cd5b281591e4f93dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93ec8522786c1838a543df22b5fd53426b67ba653472085cd5b281591e4f93dd","first_computed_at":"2026-07-05T07:48:37.045759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:37.045759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NmQTnUrQo4NvrRopjKj7AY7PvGDdRP889aGdz9ogsEzpJLNUuZHogFz1v04mcI1U+cJ34eD3VYaRpTQeCxdFAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:37.046211Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.15188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd4e8d10f16bae83af223b65c4cbdc8630e5d6083a3d9f9f58272fce6312dbe9","sha256:f7c37107292824267fb398fd15507780914ecf139af3f33986508bcb212110c4"],"state_sha256":"3c8333b1fe5de7dfeda1148271233e87bb237ee9602fe0f65cd4edcdb4962c67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NSYxdLyyFAvmQ3D+JY9D7AriX4TUah2Ty9qZ5hC1Zp0szdptC373ZsfvckGGzu+MKvlzaobL8FKn7+vvAbouCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:56:24.848806Z","bundle_sha256":"b48147c967cbff568c95847359ea71eb69119b4e5d66dbff8f870ee58fda3ee2"}}