{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CJOCXM56HIOSYXVPIUMC7ZRNE2","short_pith_number":"pith:CJOCXM56","canonical_record":{"source":{"id":"2503.04378","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:30:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0bb6c7197a220a68322e2159f2646aee4c48802d1c9e049d41edf10f4225401f","abstract_canon_sha256":"46e077c986a8dbf2faee55adb9510db4902250480363469cf2248b9ec36f7a8c"},"schema_version":"1.0"},"canonical_sha256":"125c2bb3be3a1d2c5eaf45182fe62d26848e845c6e3d5400766c5b76331abf8a","source":{"kind":"arxiv","id":"2503.04378","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04378","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04378v2","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04378","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"CJOCXM56HIOS","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"CJOCXM56HIOSYXVP","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"CJOCXM56","created_at":"2026-07-05T11:12:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CJOCXM56HIOSYXVPIUMC7ZRNE2","target":"record","payload":{"canonical_record":{"source":{"id":"2503.04378","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:30:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0bb6c7197a220a68322e2159f2646aee4c48802d1c9e049d41edf10f4225401f","abstract_canon_sha256":"46e077c986a8dbf2faee55adb9510db4902250480363469cf2248b9ec36f7a8c"},"schema_version":"1.0"},"canonical_sha256":"125c2bb3be3a1d2c5eaf45182fe62d26848e845c6e3d5400766c5b76331abf8a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:28.925112Z","signature_b64":"yuYaVsRyUi5AXnIFkjxcBIWgdyAgP3Ru/c2/2kBok7546XkpKnpknLBbCYWxQ20q9wh4b1SyxBayppL1nh8xBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"125c2bb3be3a1d2c5eaf45182fe62d26848e845c6e3d5400766c5b76331abf8a","last_reissued_at":"2026-07-05T11:12:28.924602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:28.924602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.04378","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K7wK27zeB+8itpS0pbgJMEyIjPd/o81SKT7y1Bq4fK5wGkbgW35gOqw+z1beWQkzL7JjavtaxOYX4+du5y99Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:40:23.784266Z"},"content_sha256":"094961664775f21b08cd20cd9ff1ea5711ee7246cf121dca4eafe002dbaea7ac","schema_version":"1.0","event_id":"sha256:094961664775f21b08cd20cd9ff1ea5711ee7246cf121dca4eafe002dbaea7ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CJOCXM56HIOSYXVPIUMC7ZRNE2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Daniel Egert, Ellie Evans, Felipe Soares, Hoo-Chang Shin, Jiaqi Zeng, Oleksii Kuchaiev, Olivier Delalleau, Yi Dong, Zhilin Wang","submitted_at":"2025-03-06T12:30:24Z","abstract_excerpt":"Inference-Time Scaling has been critical to the success of recent models such as OpenAI o1 and DeepSeek R1. However, many techniques used to train models for inference-time scaling require tasks to have answers that can be verified, limiting their application to domains such as math, coding and logical reasoning. We take inspiration from how humans make first attempts, ask for detailed feedback from others and make improvements based on such feedback across a wide spectrum of open-ended endeavors. To this end, we collect HelpSteer3 data to train dedicated Feedback and Edit Models that are capa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04378","kind":"arxiv","version":2},"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/2503.04378/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":"2026-07-05T11:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qWFYfnzhzIVgEK4E/ze8czv8/NbPBfrv4drZOl6pjkIai/32vk2p8sAKT/jud8uqQMn8nvqACBkKdDu9SXugCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:40:23.784798Z"},"content_sha256":"72bf60841c8e696e9cf66be5b61860b593ebc884248cbc05a86b0a78ce3248df","schema_version":"1.0","event_id":"sha256:72bf60841c8e696e9cf66be5b61860b593ebc884248cbc05a86b0a78ce3248df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/bundle.json","state_url":"https://pith.science/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/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":"2026-08-07T12:40:23Z","links":{"resolver":"https://pith.science/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2","bundle":"https://pith.science/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/bundle.json","state":"https://pith.science/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CJOCXM56HIOSYXVPIUMC7ZRNE2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CJOCXM56HIOSYXVPIUMC7ZRNE2","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":"46e077c986a8dbf2faee55adb9510db4902250480363469cf2248b9ec36f7a8c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:30:24Z","title_canon_sha256":"0bb6c7197a220a68322e2159f2646aee4c48802d1c9e049d41edf10f4225401f"},"schema_version":"1.0","source":{"id":"2503.04378","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04378","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04378v2","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04378","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"CJOCXM56HIOS","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"CJOCXM56HIOSYXVP","created_at":"2026-07-05T11:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"CJOCXM56","created_at":"2026-07-05T11:12:28Z"}],"graph_snapshots":[{"event_id":"sha256:72bf60841c8e696e9cf66be5b61860b593ebc884248cbc05a86b0a78ce3248df","target":"graph","created_at":"2026-07-05T11:12:28Z","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/2503.04378/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inference-Time Scaling has been critical to the success of recent models such as OpenAI o1 and DeepSeek R1. However, many techniques used to train models for inference-time scaling require tasks to have answers that can be verified, limiting their application to domains such as math, coding and logical reasoning. We take inspiration from how humans make first attempts, ask for detailed feedback from others and make improvements based on such feedback across a wide spectrum of open-ended endeavors. To this end, we collect HelpSteer3 data to train dedicated Feedback and Edit Models that are capa","authors_text":"Daniel Egert, Ellie Evans, Felipe Soares, Hoo-Chang Shin, Jiaqi Zeng, Oleksii Kuchaiev, Olivier Delalleau, Yi Dong, Zhilin Wang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:30:24Z","title":"HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04378","kind":"arxiv","version":2},"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":"sha256:094961664775f21b08cd20cd9ff1ea5711ee7246cf121dca4eafe002dbaea7ac","target":"record","created_at":"2026-07-05T11:12:28Z","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":"46e077c986a8dbf2faee55adb9510db4902250480363469cf2248b9ec36f7a8c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:30:24Z","title_canon_sha256":"0bb6c7197a220a68322e2159f2646aee4c48802d1c9e049d41edf10f4225401f"},"schema_version":"1.0","source":{"id":"2503.04378","kind":"arxiv","version":2}},"canonical_sha256":"125c2bb3be3a1d2c5eaf45182fe62d26848e845c6e3d5400766c5b76331abf8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"125c2bb3be3a1d2c5eaf45182fe62d26848e845c6e3d5400766c5b76331abf8a","first_computed_at":"2026-07-05T11:12:28.924602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:28.924602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yuYaVsRyUi5AXnIFkjxcBIWgdyAgP3Ru/c2/2kBok7546XkpKnpknLBbCYWxQ20q9wh4b1SyxBayppL1nh8xBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:28.925112Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.04378","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:094961664775f21b08cd20cd9ff1ea5711ee7246cf121dca4eafe002dbaea7ac","sha256:72bf60841c8e696e9cf66be5b61860b593ebc884248cbc05a86b0a78ce3248df"],"state_sha256":"60bedf0447ca7c7a1ffb18db1066f3989ff02ac303853210159f61490bbb3cb4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kowa2YFXU+DnilwnzdaOCRg8mdWnmwkgVvqpbEzcdgEss9FZYIQMkJ3cE0BxsLiR+OMYVT6BvNozznrxZCJ7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:40:23.789372Z","bundle_sha256":"054f3b7f0b5034a6cf14480304b0f4675f2c9d94b2f2ca025e089c67a7f8f8f7"}}