{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AGF5JNUSFREIQE4WJAJPDUH6JD","short_pith_number":"pith:AGF5JNUS","canonical_record":{"source":{"id":"2607.04990","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-06T12:25:47Z","cross_cats_sorted":[],"title_canon_sha256":"2f78c9a1e57d52701d1274a9431994025cfdcf47571cc099fe927a5007831d1a","abstract_canon_sha256":"3f7c9f86143a2403c3aaab9f47605b710ecb2917a35a7ce9d23f0f03585edb96"},"schema_version":"1.0"},"canonical_sha256":"018bd4b6922c488813964812f1d0fe48ffab854d0633d4ae9ebd5dae35759402","source":{"kind":"arxiv","id":"2607.04990","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04990","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04990v1","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04990","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_12","alias_value":"AGF5JNUSFREI","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_16","alias_value":"AGF5JNUSFREIQE4W","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_8","alias_value":"AGF5JNUS","created_at":"2026-07-07T02:20:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AGF5JNUSFREIQE4WJAJPDUH6JD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.04990","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-06T12:25:47Z","cross_cats_sorted":[],"title_canon_sha256":"2f78c9a1e57d52701d1274a9431994025cfdcf47571cc099fe927a5007831d1a","abstract_canon_sha256":"3f7c9f86143a2403c3aaab9f47605b710ecb2917a35a7ce9d23f0f03585edb96"},"schema_version":"1.0"},"canonical_sha256":"018bd4b6922c488813964812f1d0fe48ffab854d0633d4ae9ebd5dae35759402","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:20:17.290119Z","signature_b64":"BmKlv+87uSlA5V8VcyFwb9MP2fBE6aMVuz1/FrkZs0hkDmwaB1O5Cczk2iemD6foYGo5yfP7sqcJz0O0Fo/DDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"018bd4b6922c488813964812f1d0fe48ffab854d0633d4ae9ebd5dae35759402","last_reissued_at":"2026-07-07T02:20:17.289586Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:20:17.289586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.04990","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":"2026-07-07T02:20:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7ezqBxtlnDt8miw3qpD19bBRFx3k6pSxDwXYl8yeoL/X6oC1Gpzu4KntMqPFOY1ymyMgyNjADIlufrXD85VzAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:12:45.997051Z"},"content_sha256":"4096415dcb052fe8ac9bb37e92a559749c4940b3ac3a3efe6a6b8adfc49715f9","schema_version":"1.0","event_id":"sha256:4096415dcb052fe8ac9bb37e92a559749c4940b3ac3a3efe6a6b8adfc49715f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AGF5JNUSFREIQE4WJAJPDUH6JD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Kyohei Suzuki, onstantinos Slavakis","submitted_at":"2026-07-06T12:25:47Z","abstract_excerpt":"This work delivers two key contributions: one to efficient feature selection in reinforcement learning\n  (RL), the other to the theory of non-monotone inclusions. On the RL side, the estimation bias inherent\n  in conventional regularization schemes is addressed by augmenting classical least-squares\n  temporal-difference (LSTD) policy evaluation with the sparsity-inducing, non-convex projected minimax\n  concave (PMC) penalty. Because the PMC penalty is weakly convex, the resulting fixed-point problem is\n  no longer monotone; instead, it falls under a broader class of non-monotone inclusions inv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04990","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/2607.04990/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":"2026-07-07T02:20:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/ZYGLeo+GYESejM2hiah379hGWbjH01YATwqymXvsDAJIkEbKGuu1C9icQmvRCNYJs1SVzLNPDhLEpl+aLyVDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:12:45.997594Z"},"content_sha256":"4b07928c9b61b9dcf03fa09a32f2ad59b892f2e14a16f78dd5e43c364696863c","schema_version":"1.0","event_id":"sha256:4b07928c9b61b9dcf03fa09a32f2ad59b892f2e14a16f78dd5e43c364696863c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/bundle.json","state_url":"https://pith.science/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/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":"2026-08-08T12:12:46Z","links":{"resolver":"https://pith.science/pith/AGF5JNUSFREIQE4WJAJPDUH6JD","bundle":"https://pith.science/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/bundle.json","state":"https://pith.science/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AGF5JNUSFREIQE4WJAJPDUH6JD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AGF5JNUSFREIQE4WJAJPDUH6JD","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":"3f7c9f86143a2403c3aaab9f47605b710ecb2917a35a7ce9d23f0f03585edb96","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-06T12:25:47Z","title_canon_sha256":"2f78c9a1e57d52701d1274a9431994025cfdcf47571cc099fe927a5007831d1a"},"schema_version":"1.0","source":{"id":"2607.04990","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04990","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04990v1","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04990","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_12","alias_value":"AGF5JNUSFREI","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_16","alias_value":"AGF5JNUSFREIQE4W","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_8","alias_value":"AGF5JNUS","created_at":"2026-07-07T02:20:17Z"}],"graph_snapshots":[{"event_id":"sha256:4b07928c9b61b9dcf03fa09a32f2ad59b892f2e14a16f78dd5e43c364696863c","target":"graph","created_at":"2026-07-07T02:20:17Z","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/2607.04990/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work delivers two key contributions: one to efficient feature selection in reinforcement learning\n  (RL), the other to the theory of non-monotone inclusions. On the RL side, the estimation bias inherent\n  in conventional regularization schemes is addressed by augmenting classical least-squares\n  temporal-difference (LSTD) policy evaluation with the sparsity-inducing, non-convex projected minimax\n  concave (PMC) penalty. Because the PMC penalty is weakly convex, the resulting fixed-point problem is\n  no longer monotone; instead, it falls under a broader class of non-monotone inclusions inv","authors_text":"Kyohei Suzuki, onstantinos Slavakis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-06T12:25:47Z","title":"Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04990","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":"sha256:4096415dcb052fe8ac9bb37e92a559749c4940b3ac3a3efe6a6b8adfc49715f9","target":"record","created_at":"2026-07-07T02:20:17Z","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":"3f7c9f86143a2403c3aaab9f47605b710ecb2917a35a7ce9d23f0f03585edb96","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-06T12:25:47Z","title_canon_sha256":"2f78c9a1e57d52701d1274a9431994025cfdcf47571cc099fe927a5007831d1a"},"schema_version":"1.0","source":{"id":"2607.04990","kind":"arxiv","version":1}},"canonical_sha256":"018bd4b6922c488813964812f1d0fe48ffab854d0633d4ae9ebd5dae35759402","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"018bd4b6922c488813964812f1d0fe48ffab854d0633d4ae9ebd5dae35759402","first_computed_at":"2026-07-07T02:20:17.289586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:20:17.289586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BmKlv+87uSlA5V8VcyFwb9MP2fBE6aMVuz1/FrkZs0hkDmwaB1O5Cczk2iemD6foYGo5yfP7sqcJz0O0Fo/DDw==","signature_status":"signed_v1","signed_at":"2026-07-07T02:20:17.290119Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04990","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4096415dcb052fe8ac9bb37e92a559749c4940b3ac3a3efe6a6b8adfc49715f9","sha256:4b07928c9b61b9dcf03fa09a32f2ad59b892f2e14a16f78dd5e43c364696863c"],"state_sha256":"5303ecb2ed54d689a7172f2bbcd343255e1c715b491e9d13f2fd9e657c84337f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Z921VGxy4DunAzpvFNHtREtN2Egn3B6LMvpHazuvOublniQhuKCoNfl6PITwMQLCKtz35v1Xk9ngd5qGxnBAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:12:46.003147Z","bundle_sha256":"c164761ba4076c202b64edaf690342480ba895a919b73d8ef2edaba68eba939f"}}