{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LLHS5SOIMDCNTQBKJKZ6FCIQFU","short_pith_number":"pith:LLHS5SOI","canonical_record":{"source":{"id":"2605.28247","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T09:58:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7722b3ab71c485fb08e96023ddd9cd3dfbf8a058b0fa0bf5d4243716c43520b3","abstract_canon_sha256":"6b32e68a92d4ada65764f756dadce61e18e892aead0c77ef03cb4636de44d6fc"},"schema_version":"1.0"},"canonical_sha256":"5acf2ec9c860c4d9c02a4ab3e289102d0555d593dc15627b811ec8a5bfdce8c6","source":{"kind":"arxiv","id":"2605.28247","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28247","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28247v1","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28247","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"LLHS5SOIMDCN","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"LLHS5SOIMDCNTQBK","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"LLHS5SOI","created_at":"2026-05-28T01:05:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LLHS5SOIMDCNTQBKJKZ6FCIQFU","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28247","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T09:58:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7722b3ab71c485fb08e96023ddd9cd3dfbf8a058b0fa0bf5d4243716c43520b3","abstract_canon_sha256":"6b32e68a92d4ada65764f756dadce61e18e892aead0c77ef03cb4636de44d6fc"},"schema_version":"1.0"},"canonical_sha256":"5acf2ec9c860c4d9c02a4ab3e289102d0555d593dc15627b811ec8a5bfdce8c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:03.993224Z","signature_b64":"uG7GhGBgEy4hebas/3oZqtStPmPNRP3INQ8MMM4rZkj5tKmA9Dx2oaSshgUEgw1RNKZKdRpIUVd5Id62BOcrBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5acf2ec9c860c4d9c02a4ab3e289102d0555d593dc15627b811ec8a5bfdce8c6","last_reissued_at":"2026-05-28T01:05:03.992743Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:03.992743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28247","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":"2026-05-28T01:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1gwKNSNv2uoCgoT0gBbsYyiaL8O1zqTXbx/JVJZvBeTexCwTdP1n4Nz6R36e9LB5vHrtVGR+eneS9c7eDGuRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T00:49:44.646211Z"},"content_sha256":"23b72abf4832e765b4b10dda3d46fa2a7751617f305b22ce0cd066d9a664000a","schema_version":"1.0","event_id":"sha256:23b72abf4832e765b4b10dda3d46fa2a7751617f305b22ce0cd066d9a664000a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LLHS5SOIMDCNTQBKJKZ6FCIQFU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IRDS: Interpretable RLVR Data Selection via Verifier-Coupled Sparse Autoencoder Coverage","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Dazhong Shen, Mingxu Zhang, Ying Sun, Yuhan Li","submitted_at":"2026-05-27T09:58:05Z","abstract_excerpt":"Reinforcement learning with verifiable rewards (RLVR) has become a key technique for en- hancing LLM reasoning, yet its data ineffi- ciency remains a major bottleneck. Existing methods address this problem only partially, each missing at least one of subset-level cov- erage, verifier signal use, or interpretability. To address this gap, we present IRDS (Inter- pretable RLVR Data Selection), which selects RLVR training instances on a sparse autoen- coder (SAE) cluster basis so the selection itself is auditable on recognizable problem motifs. To select instances the model both fails on and can s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28247","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/2605.28247/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":"2026-05-28T01:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w7Lec6I9YUSAVynxPGLf8gx9xkntkR+HofVMbj3QT31SE84wp0v3OJF3rlwAM3X2ID7cqLOLpoSVU7zDmmDqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T00:49:44.646610Z"},"content_sha256":"0a4663b2f16bdb09ad3bf6fe039fa25944bcd81e88f704119708bdbe2eb64a84","schema_version":"1.0","event_id":"sha256:0a4663b2f16bdb09ad3bf6fe039fa25944bcd81e88f704119708bdbe2eb64a84"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/bundle.json","state_url":"https://pith.science/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/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":"2026-07-03T00:49:44Z","links":{"resolver":"https://pith.science/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU","bundle":"https://pith.science/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/bundle.json","state":"https://pith.science/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LLHS5SOIMDCNTQBKJKZ6FCIQFU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LLHS5SOIMDCNTQBKJKZ6FCIQFU","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":"6b32e68a92d4ada65764f756dadce61e18e892aead0c77ef03cb4636de44d6fc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T09:58:05Z","title_canon_sha256":"7722b3ab71c485fb08e96023ddd9cd3dfbf8a058b0fa0bf5d4243716c43520b3"},"schema_version":"1.0","source":{"id":"2605.28247","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28247","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28247v1","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28247","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"LLHS5SOIMDCN","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"LLHS5SOIMDCNTQBK","created_at":"2026-05-28T01:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"LLHS5SOI","created_at":"2026-05-28T01:05:03Z"}],"graph_snapshots":[{"event_id":"sha256:0a4663b2f16bdb09ad3bf6fe039fa25944bcd81e88f704119708bdbe2eb64a84","target":"graph","created_at":"2026-05-28T01:05:03Z","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/2605.28247/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement learning with verifiable rewards (RLVR) has become a key technique for en- hancing LLM reasoning, yet its data ineffi- ciency remains a major bottleneck. Existing methods address this problem only partially, each missing at least one of subset-level cov- erage, verifier signal use, or interpretability. To address this gap, we present IRDS (Inter- pretable RLVR Data Selection), which selects RLVR training instances on a sparse autoen- coder (SAE) cluster basis so the selection itself is auditable on recognizable problem motifs. To select instances the model both fails on and can s","authors_text":"Dazhong Shen, Mingxu Zhang, Ying Sun, Yuhan Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T09:58:05Z","title":"IRDS: Interpretable RLVR Data Selection via Verifier-Coupled Sparse Autoencoder Coverage"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28247","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":"sha256:23b72abf4832e765b4b10dda3d46fa2a7751617f305b22ce0cd066d9a664000a","target":"record","created_at":"2026-05-28T01:05:03Z","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":"6b32e68a92d4ada65764f756dadce61e18e892aead0c77ef03cb4636de44d6fc","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T09:58:05Z","title_canon_sha256":"7722b3ab71c485fb08e96023ddd9cd3dfbf8a058b0fa0bf5d4243716c43520b3"},"schema_version":"1.0","source":{"id":"2605.28247","kind":"arxiv","version":1}},"canonical_sha256":"5acf2ec9c860c4d9c02a4ab3e289102d0555d593dc15627b811ec8a5bfdce8c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5acf2ec9c860c4d9c02a4ab3e289102d0555d593dc15627b811ec8a5bfdce8c6","first_computed_at":"2026-05-28T01:05:03.992743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:03.992743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uG7GhGBgEy4hebas/3oZqtStPmPNRP3INQ8MMM4rZkj5tKmA9Dx2oaSshgUEgw1RNKZKdRpIUVd5Id62BOcrBQ==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:03.993224Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28247","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23b72abf4832e765b4b10dda3d46fa2a7751617f305b22ce0cd066d9a664000a","sha256:0a4663b2f16bdb09ad3bf6fe039fa25944bcd81e88f704119708bdbe2eb64a84"],"state_sha256":"0bcdbbe811467966000d1afd13eb81a2f603cbd95c18121fe9d2e2e56f50a018"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JC171WB9Bqq5tQDedPyRSHyZjROoiRErVbc3p0fGElXDR6tDBOeWZcXZEqGJS9F3ez4OwMGfPcDIRt3O4G8pAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T00:49:44.648653Z","bundle_sha256":"c4516747e0c6e59ea9c7085778ab322292eb617a7fa49771b4f266eeae175a78"}}