{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TEZCABRXFJYKDOFWEGEEE7PGG6","short_pith_number":"pith:TEZCABRX","canonical_record":{"source":{"id":"2405.01511","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-02T17:44:41Z","cross_cats_sorted":[],"title_canon_sha256":"7eaab7d9a89c83b29afd8089ea03b32190aa2842475a82ae497b5c0f2a04826a","abstract_canon_sha256":"1fa6e2a3faea039f4b33557eb908ef118578ae4458a0f5c6025d75fb6568e25c"},"schema_version":"1.0"},"canonical_sha256":"99322006372a70a1b8b62188427de6379d1f63b9157dfc5eca8a3b07bcb82b0f","source":{"kind":"arxiv","id":"2405.01511","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.01511","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"arxiv_version","alias_value":"2405.01511v2","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.01511","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_12","alias_value":"TEZCABRXFJYK","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_16","alias_value":"TEZCABRXFJYKDOFW","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_8","alias_value":"TEZCABRX","created_at":"2026-07-05T08:52:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TEZCABRXFJYKDOFWEGEEE7PGG6","target":"record","payload":{"canonical_record":{"source":{"id":"2405.01511","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-02T17:44:41Z","cross_cats_sorted":[],"title_canon_sha256":"7eaab7d9a89c83b29afd8089ea03b32190aa2842475a82ae497b5c0f2a04826a","abstract_canon_sha256":"1fa6e2a3faea039f4b33557eb908ef118578ae4458a0f5c6025d75fb6568e25c"},"schema_version":"1.0"},"canonical_sha256":"99322006372a70a1b8b62188427de6379d1f63b9157dfc5eca8a3b07bcb82b0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:53.982591Z","signature_b64":"dEW82d05rgA0sjAPmEoD/1kD6NuwrPwsH7w1FTObZQIj/I5P+3Z7Wl/QKOFrEsDPnFSnzVyd6uPBkVsD3dpFAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99322006372a70a1b8b62188427de6379d1f63b9157dfc5eca8a3b07bcb82b0f","last_reissued_at":"2026-07-05T08:52:53.982166Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:53.982166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.01511","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":"2026-07-05T08:52:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KNrO08eMil8juMuHp4WfmOQENPXPEQTxsNpsV6vr8cT4h3/Tc4vHe7ftvGPEQ5y2tw4f633HpEqnUxyesgtxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:15:08.891913Z"},"content_sha256":"572b6c99c428afac454dec544a63405013bb5dee6c90a4ec070bb54f86f35ffa","schema_version":"1.0","event_id":"sha256:572b6c99c428afac454dec544a63405013bb5dee6c90a4ec070bb54f86f35ffa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TEZCABRXFJYKDOFWEGEEE7PGG6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"D2PO: Discriminator-Guided DPO with Response Evaluation Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Greg Durrett, Nathan Lambert, Prasann Singhal, Scott Niekum, Tanya Goyal","submitted_at":"2024-05-02T17:44:41Z","abstract_excerpt":"Varied approaches for aligning language models have been proposed, including supervised fine-tuning, RLHF, and direct optimization methods such as DPO. Although DPO has rapidly gained popularity due to its straightforward training process and competitive results, there is an open question of whether there remain practical advantages of using a discriminator, like a reward model, to evaluate responses. We propose D2PO, discriminator-guided DPO, an approach for the online setting where preferences are being collected throughout learning. As we collect gold preferences, we use these not only to t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.01511","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/2405.01511/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":"2026-07-05T08:52:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+kjoGa79doqTBw/dS3zKSn477HfCUQuTCr0ir8DOBw6AKLN+9sgplGCsbn1T2swkFmmR3Ivy941kT3UuRGdaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:15:08.892450Z"},"content_sha256":"1a298355044e01a7b6c72bbb1fb611d321da19e5e419829107c35844387ee067","schema_version":"1.0","event_id":"sha256:1a298355044e01a7b6c72bbb1fb611d321da19e5e419829107c35844387ee067"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/bundle.json","state_url":"https://pith.science/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/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":"2026-08-11T20:15:08Z","links":{"resolver":"https://pith.science/pith/TEZCABRXFJYKDOFWEGEEE7PGG6","bundle":"https://pith.science/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/bundle.json","state":"https://pith.science/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TEZCABRXFJYKDOFWEGEEE7PGG6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TEZCABRXFJYKDOFWEGEEE7PGG6","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":"1fa6e2a3faea039f4b33557eb908ef118578ae4458a0f5c6025d75fb6568e25c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-02T17:44:41Z","title_canon_sha256":"7eaab7d9a89c83b29afd8089ea03b32190aa2842475a82ae497b5c0f2a04826a"},"schema_version":"1.0","source":{"id":"2405.01511","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.01511","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"arxiv_version","alias_value":"2405.01511v2","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.01511","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_12","alias_value":"TEZCABRXFJYK","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_16","alias_value":"TEZCABRXFJYKDOFW","created_at":"2026-07-05T08:52:53Z"},{"alias_kind":"pith_short_8","alias_value":"TEZCABRX","created_at":"2026-07-05T08:52:53Z"}],"graph_snapshots":[{"event_id":"sha256:1a298355044e01a7b6c72bbb1fb611d321da19e5e419829107c35844387ee067","target":"graph","created_at":"2026-07-05T08:52:53Z","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/2405.01511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Varied approaches for aligning language models have been proposed, including supervised fine-tuning, RLHF, and direct optimization methods such as DPO. Although DPO has rapidly gained popularity due to its straightforward training process and competitive results, there is an open question of whether there remain practical advantages of using a discriminator, like a reward model, to evaluate responses. We propose D2PO, discriminator-guided DPO, an approach for the online setting where preferences are being collected throughout learning. As we collect gold preferences, we use these not only to t","authors_text":"Greg Durrett, Nathan Lambert, Prasann Singhal, Scott Niekum, Tanya Goyal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-02T17:44:41Z","title":"D2PO: Discriminator-Guided DPO with Response Evaluation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.01511","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":"sha256:572b6c99c428afac454dec544a63405013bb5dee6c90a4ec070bb54f86f35ffa","target":"record","created_at":"2026-07-05T08:52:53Z","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":"1fa6e2a3faea039f4b33557eb908ef118578ae4458a0f5c6025d75fb6568e25c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-02T17:44:41Z","title_canon_sha256":"7eaab7d9a89c83b29afd8089ea03b32190aa2842475a82ae497b5c0f2a04826a"},"schema_version":"1.0","source":{"id":"2405.01511","kind":"arxiv","version":2}},"canonical_sha256":"99322006372a70a1b8b62188427de6379d1f63b9157dfc5eca8a3b07bcb82b0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99322006372a70a1b8b62188427de6379d1f63b9157dfc5eca8a3b07bcb82b0f","first_computed_at":"2026-07-05T08:52:53.982166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:53.982166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dEW82d05rgA0sjAPmEoD/1kD6NuwrPwsH7w1FTObZQIj/I5P+3Z7Wl/QKOFrEsDPnFSnzVyd6uPBkVsD3dpFAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:53.982591Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.01511","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:572b6c99c428afac454dec544a63405013bb5dee6c90a4ec070bb54f86f35ffa","sha256:1a298355044e01a7b6c72bbb1fb611d321da19e5e419829107c35844387ee067"],"state_sha256":"2750a10e13fdc3afb0138f026fd687a15e04a24439210ad1cd4731fda89d0955"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cY7YdLg/E5yxbfiXM36VJybkhABG5aoFB0FrAPm0yJ/v3F9718jgWh0AQXdd8tFAlLkaPd0D+IaNil9S9VlyAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T20:15:08.897672Z","bundle_sha256":"6cefc49c4a732efc3a036c84d1d4886ade8028aeb7f4c124ec2f46f521666aa1"}}