{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3OZYB2KF53KDR6K44AJ3TXUODI","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":"5c072847810599b4f2c3c9f662a6ae27a8303dba3e75ccae89418ba689630709","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-27T00:28:52Z","title_canon_sha256":"8e7595dae2771ca649fa32ecb9f94a3d3c5414733820e2e098cf01b960d75000"},"schema_version":"1.0","source":{"id":"2605.27794","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27794","created_at":"2026-05-28T01:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27794v1","created_at":"2026-05-28T01:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27794","created_at":"2026-05-28T01:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"3OZYB2KF53KD","created_at":"2026-05-28T01:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"3OZYB2KF53KDR6K4","created_at":"2026-05-28T01:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"3OZYB2KF","created_at":"2026-05-28T01:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:6ebb8b4b05d0a34d0015ab7f519640a511ff5e91f7153bd35649afdaf0c87aa1","target":"graph","created_at":"2026-05-28T01:04:48Z","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/2605.27794/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies adaptive targeting under network interference in a bandit setting, where treatments applied to one individual may affect others through spillover effects. We consider a linear model in a sparse regime, where each individual's outcome can be affected by at most a few others. We first establish a regret lower bound showing that ignoring the network structure and reducing the problem to a standard linear bandit inevitably leads to inefficient learning, particularly in large populations. To understand how structural information can be leveraged, we analyze regimes with varying l","authors_text":"Hamsa Bastani, Osbert Bastani, Xiaomeng Wang, Zhimei Ren","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-27T00:28:52Z","title":"Learning to target with network interference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27794","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":"sha256:0eb161b9a849f6eee17de705babafeb83aae2e38e76aaf401dbc0c122785f25b","target":"record","created_at":"2026-05-28T01:04:48Z","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":"5c072847810599b4f2c3c9f662a6ae27a8303dba3e75ccae89418ba689630709","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-27T00:28:52Z","title_canon_sha256":"8e7595dae2771ca649fa32ecb9f94a3d3c5414733820e2e098cf01b960d75000"},"schema_version":"1.0","source":{"id":"2605.27794","kind":"arxiv","version":1}},"canonical_sha256":"dbb380e945eed438f95ce013b9de8e1a34e82a4068b4da47c8ccf2526391bdde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbb380e945eed438f95ce013b9de8e1a34e82a4068b4da47c8ccf2526391bdde","first_computed_at":"2026-05-28T01:04:48.881154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:48.881154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zf0HZ1MMsd+TIHCiIMQPIR2TCNUG/dDWFmNtSS0ILew9oZCXvjp31YYhnDPfoMSNKWNvc/Sc2UMtUPgiFHeYCg==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:48.881482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27794","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0eb161b9a849f6eee17de705babafeb83aae2e38e76aaf401dbc0c122785f25b","sha256:6ebb8b4b05d0a34d0015ab7f519640a511ff5e91f7153bd35649afdaf0c87aa1"],"state_sha256":"0bd9d053b9dd243f0ea5ada94130950bf1f305b242439316fb3d3d82f114305b"}