{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PHZVHQAILQKO5QXR522I6OEM5X","short_pith_number":"pith:PHZVHQAI","canonical_record":{"source":{"id":"2606.01000","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T04:30:42Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"c97e9ee79195ddb42d7281c3704d5615721441a9eea40767755838a79872765c","abstract_canon_sha256":"71de5c3ecd7ea0493c536d2322052067d53cdb85a20f2cf8c42139b997064483"},"schema_version":"1.0"},"canonical_sha256":"79f353c0085c14eec2f1eeb48f388ceddbbee0fc55c9ec90d9e01276d07e0c2c","source":{"kind":"arxiv","id":"2606.01000","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01000","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01000v1","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01000","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_12","alias_value":"PHZVHQAILQKO","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_16","alias_value":"PHZVHQAILQKO5QXR","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_8","alias_value":"PHZVHQAI","created_at":"2026-06-02T01:04:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PHZVHQAILQKO5QXR522I6OEM5X","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01000","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T04:30:42Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"c97e9ee79195ddb42d7281c3704d5615721441a9eea40767755838a79872765c","abstract_canon_sha256":"71de5c3ecd7ea0493c536d2322052067d53cdb85a20f2cf8c42139b997064483"},"schema_version":"1.0"},"canonical_sha256":"79f353c0085c14eec2f1eeb48f388ceddbbee0fc55c9ec90d9e01276d07e0c2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:04:17.859461Z","signature_b64":"2rJ2QXOU4aRMo9iiTVkWSS+tzBfc9NXuTGwEXEgKfarjKTyc5xXxBbaxMUoaJujJg3FH/+D+/FgiHUAYQp1DDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79f353c0085c14eec2f1eeb48f388ceddbbee0fc55c9ec90d9e01276d07e0c2c","last_reissued_at":"2026-06-02T01:04:17.858778Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:04:17.858778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01000","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":"2026-06-02T01:04:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/mKxHC0q5AIf+tcvSOBDv/Anc8W/tmi0UAqYx8MGn9WCf8o9nx1h/Go6q0zmJ7/3lhKLr+ZWbd2JPTO/WEQGDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:31:32.456686Z"},"content_sha256":"c8602bc5731ab6f287951ca0618ad09acad6cd088657d5080f71eb421fb765a8","schema_version":"1.0","event_id":"sha256:c8602bc5731ab6f287951ca0618ad09acad6cd088657d5080f71eb421fb765a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PHZVHQAILQKO5QXR522I6OEM5X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Alvin Zhang, Arda Uzunoglu, Daniel Khashabi","submitted_at":"2026-05-31T04:30:42Z","abstract_excerpt":"Weak-to-strong generalization studies how to improve a strong student using supervision from a weaker teacher when reliable labels are scarce. We view this primarily as a data selection problem, where the key challenge is to identify which weak labels are reliable enough to serve as a training signal. To address this, we introduce trust functions that assign each weak label a scalar trust score and use these scores to filter weak supervision. Across several domains, including world knowledge, quantitative reasoning, and strategy games, trust filtering yields students that match and sometimes s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01000","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/2606.01000/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":"2026-06-02T01:04:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27fVftuUspmvV4B1QeRHt3tOzFPcoglv2l/sLgyeAsqxRF5+nM4sY97mXqD/0gQjZIUet54DP2qbLCrJ3Tw6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:31:32.457076Z"},"content_sha256":"819f2c305cad00d8acab694f4e47b663feb1dfd783c6f6d59cb29c5754a7a8e1","schema_version":"1.0","event_id":"sha256:819f2c305cad00d8acab694f4e47b663feb1dfd783c6f6d59cb29c5754a7a8e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PHZVHQAILQKO5QXR522I6OEM5X/bundle.json","state_url":"https://pith.science/pith/PHZVHQAILQKO5QXR522I6OEM5X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PHZVHQAILQKO5QXR522I6OEM5X/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":"2026-06-30T20:31:32Z","links":{"resolver":"https://pith.science/pith/PHZVHQAILQKO5QXR522I6OEM5X","bundle":"https://pith.science/pith/PHZVHQAILQKO5QXR522I6OEM5X/bundle.json","state":"https://pith.science/pith/PHZVHQAILQKO5QXR522I6OEM5X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PHZVHQAILQKO5QXR522I6OEM5X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PHZVHQAILQKO5QXR522I6OEM5X","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":"71de5c3ecd7ea0493c536d2322052067d53cdb85a20f2cf8c42139b997064483","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T04:30:42Z","title_canon_sha256":"c97e9ee79195ddb42d7281c3704d5615721441a9eea40767755838a79872765c"},"schema_version":"1.0","source":{"id":"2606.01000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01000","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01000v1","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01000","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_12","alias_value":"PHZVHQAILQKO","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_16","alias_value":"PHZVHQAILQKO5QXR","created_at":"2026-06-02T01:04:17Z"},{"alias_kind":"pith_short_8","alias_value":"PHZVHQAI","created_at":"2026-06-02T01:04:17Z"}],"graph_snapshots":[{"event_id":"sha256:819f2c305cad00d8acab694f4e47b663feb1dfd783c6f6d59cb29c5754a7a8e1","target":"graph","created_at":"2026-06-02T01:04:17Z","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/2606.01000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weak-to-strong generalization studies how to improve a strong student using supervision from a weaker teacher when reliable labels are scarce. We view this primarily as a data selection problem, where the key challenge is to identify which weak labels are reliable enough to serve as a training signal. To address this, we introduce trust functions that assign each weak label a scalar trust score and use these scores to filter weak supervision. Across several domains, including world knowledge, quantitative reasoning, and strategy games, trust filtering yields students that match and sometimes s","authors_text":"Alvin Zhang, Arda Uzunoglu, Daniel Khashabi","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T04:30:42Z","title":"Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01000","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:c8602bc5731ab6f287951ca0618ad09acad6cd088657d5080f71eb421fb765a8","target":"record","created_at":"2026-06-02T01:04:17Z","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":"71de5c3ecd7ea0493c536d2322052067d53cdb85a20f2cf8c42139b997064483","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T04:30:42Z","title_canon_sha256":"c97e9ee79195ddb42d7281c3704d5615721441a9eea40767755838a79872765c"},"schema_version":"1.0","source":{"id":"2606.01000","kind":"arxiv","version":1}},"canonical_sha256":"79f353c0085c14eec2f1eeb48f388ceddbbee0fc55c9ec90d9e01276d07e0c2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79f353c0085c14eec2f1eeb48f388ceddbbee0fc55c9ec90d9e01276d07e0c2c","first_computed_at":"2026-06-02T01:04:17.858778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:17.858778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2rJ2QXOU4aRMo9iiTVkWSS+tzBfc9NXuTGwEXEgKfarjKTyc5xXxBbaxMUoaJujJg3FH/+D+/FgiHUAYQp1DDg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:17.859461Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8602bc5731ab6f287951ca0618ad09acad6cd088657d5080f71eb421fb765a8","sha256:819f2c305cad00d8acab694f4e47b663feb1dfd783c6f6d59cb29c5754a7a8e1"],"state_sha256":"f0c96fd41072f40929af43a86ec0c37f9064d86e1f14d5fe08db89d3879c3a64"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ke4HQzh89i6Nbgr2143U+nl+J2LXNVA48ecdi9Qz3msHsGpervLIo9Eqk1e1Q888dWDzndmUOTwP3EzvLsp/AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T20:31:32.459214Z","bundle_sha256":"581f3a02110c5dc7ecaa1460dc49168af6dfcb0de6dd806e46e93315b3f30342"}}