{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DTYXTYZWRPNLVX2ZA7LMZYYMJ5","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":"dc170a837f225b81722c5187adc84c864b8dcf3428909ec20475d8f9aa63f888","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T14:10:07Z","title_canon_sha256":"16d352f1cbc7416fb08c46477ada46e354fb50e1b60444f27e1bfc43959e5e3e"},"schema_version":"1.0","source":{"id":"2102.07567","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.07567","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"2102.07567v3","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.07567","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"DTYXTYZWRPNL","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_16","alias_value":"DTYXTYZWRPNLVX2Z","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_8","alias_value":"DTYXTYZW","created_at":"2026-07-05T05:02:08Z"}],"graph_snapshots":[{"event_id":"sha256:af6d4729d29a7338c616511a0cc88f64f9608b137b0615036865cc379943aa44","target":"graph","created_at":"2026-07-05T05:02:08Z","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/2102.07567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Decision trees provide a rich family of highly non-linear but efficient models, due to which they continue to be the go-to family of predictive models by practitioners across domains. But learning trees is challenging due to their discrete decision boundaries. The state-of-the-art (SOTA) techniques resort to (a) learning \\textit{soft} trees thereby losing logarithmic inference time; or (b) using methods tailored to specific supervised learning settings, requiring access to labeled examples and loss function. In this work, by leveraging techniques like overparameterization and straight-through ","authors_text":"Ajaykrishna Karthikeyan, Nagarajan Natarajan, Naman Jain, Prateek Jain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T14:10:07Z","title":"Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.07567","kind":"arxiv","version":3},"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:e1c9e6950ee7425ab51fa2bfa89a984bd3c58728d3eb26e7a961b7a8dfea3555","target":"record","created_at":"2026-07-05T05:02:08Z","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":"dc170a837f225b81722c5187adc84c864b8dcf3428909ec20475d8f9aa63f888","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-15T14:10:07Z","title_canon_sha256":"16d352f1cbc7416fb08c46477ada46e354fb50e1b60444f27e1bfc43959e5e3e"},"schema_version":"1.0","source":{"id":"2102.07567","kind":"arxiv","version":3}},"canonical_sha256":"1cf179e3368bdabadf5907d6cce30c4f65fb23f8d57080e72c9dfd5e4c558b49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1cf179e3368bdabadf5907d6cce30c4f65fb23f8d57080e72c9dfd5e4c558b49","first_computed_at":"2026-07-05T05:02:08.597409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:02:08.597409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HVpRoifUFjgrmawvN8htyPhOo2YTcb3/SGE4RISLAKLXx/GyqKEIV8pDelyhBCLdTYYhDRyozI/1H8R3xLqIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:02:08.597916Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.07567","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1c9e6950ee7425ab51fa2bfa89a984bd3c58728d3eb26e7a961b7a8dfea3555","sha256:af6d4729d29a7338c616511a0cc88f64f9608b137b0615036865cc379943aa44"],"state_sha256":"895ab466454d18f2a7d93a4638dcb2209f0f53988e8bdcf047228625e232d637"}