Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:50:56.511839Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 6 inbound Pith citation observations for arXiv:2501.13124.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:50:56.511839Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:53.123046Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:36:08.609301Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 88b986f3-1102-4090-9bdd-a7015835e1fb · outbound
Debate Helps Weak-to-Strong Generalization , " * write output.state after.block = add.period write newline
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0896924d-094c-4f74-9f09-5644fc8d2e4c · outbound
Debate Helps Weak-to-Strong Generalization write newline
Reference 2
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Unavailable: canonical work link unavailable.
Observation e0e29708-bb08-40d8-867e-54c22da7cd08 · outbound
Debate Helps Weak-to-Strong Generalization Concrete Problems in AI Safety
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6438ba96-8daa-4a1c-8151-488fe0751362 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0d0c80e0-51ce-44dd-a8d8-a90e988019b6 · outbound
Debate Helps Weak-to-Strong Generalization G.; and Schaal, S
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 33da70ba-b46a-4be9-babf-5ecccb1a3f4f · outbound
Debate Helps Weak-to-Strong Generalization Qwen Technical Report
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a75b038-91a8-47db-8bb4-0a6c34baaed0 · outbound
Debate Helps Weak-to-Strong Generalization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe41f8f8-0c98-4f12-9592-d8eb22b0b3e5 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 75af3184-376c-4a08-a8e3-6b1f7060ada3 · outbound
Debate Helps Weak-to-Strong Generalization Measuring Progress on Scalable Oversight for Large Language Models
Reference 9
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Unavailable: canonical work link unavailable.
Observation 0a5ed603-6ac4-478f-bded-fa4183eeff75 · outbound
Debate Helps Weak-to-Strong Generalization D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al
Reference 10
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Observation aef1fb42-359c-4b0b-869a-6d07ff42c162 · outbound
Debate Helps Weak-to-Strong Generalization Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Reference 11
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Observation 35d465cd-9187-466e-b0d1-6a5209d0a8b6 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a2973a96-1e78-4e54-8240-458dcbcedce9 · outbound
Debate Helps Weak-to-Strong Generalization Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reference 13
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Observation b5d89875-5b60-46e3-a9cc-059d0bb8bd10 · outbound
Debate Helps Weak-to-Strong Generalization ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Reference 14
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Unavailable: canonical work link unavailable.
Observation 4b84875e-5b83-4572-ad32-945a2bab70ae · outbound
Debate Helps Weak-to-Strong Generalization Quantifying the Gain in Weak-to-Strong Generalization
Reference 15
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Unavailable: canonical work link unavailable.
Observation 3087cdbc-1675-4558-b382-6f15d4118138 · outbound
Debate Helps Weak-to-Strong Generalization Supervising strong learners by amplifying weak experts
Reference 16
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Unavailable: canonical work link unavailable.
Observation c7c3a6cd-be19-47e4-9483-0a0096892f1e · outbound
Debate Helps Weak-to-Strong Generalization F.; Leike, J.; Brown, T.; Martic, M.; Legg, S.; and Amodei, D
Reference 17
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Unavailable: canonical work link unavailable.
Observation 6f7464fa-b19d-4103-84d5-6aa0eff06bee · outbound
Debate Helps Weak-to-Strong Generalization W.; Hou, L.; Longpre, S.; Zoph, B.; Tay, Y.; Fedus, W.; Li, Y.; Wang, X.; Dehghani, M.; Brahma, S.; et al
Reference 18
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Unavailable: canonical work link unavailable.
Observation ddb29646-ebf6-494b-a045-3227d2e77203 · outbound
Debate Helps Weak-to-Strong Generalization BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 19
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Unavailable: canonical work link unavailable.
Observation a093c96a-6bff-4f54-83cc-876ca28f9af7 · outbound
Debate Helps Weak-to-Strong Generalization Reward Model Ensembles Help Mitigate Overoptimization
Reference 20
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Unavailable: canonical work link unavailable.
Observation 0794e0c3-b5b8-48c6-8d7f-9c0204b0f856 · outbound
Debate Helps Weak-to-Strong Generalization Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25122465-b429-4bd7-bc85-5d0d11ca0659 · outbound
Debate Helps Weak-to-Strong Generalization Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 22
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Unavailable: canonical work link unavailable.
Observation b63362f9-d06b-42c4-8664-7137633d3a03 · outbound
Debate Helps Weak-to-Strong Generalization Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
Reference 23
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Unavailable: canonical work link unavailable.
Observation 2cce18f7-1911-4376-87b8-d7d0a366370b · outbound
Debate Helps Weak-to-Strong Generalization A.; Hu, M.; Malik, A
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bf5b522b-0b4c-4cc9-a149-eb003bf29f00 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 25
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Observation 2d13f164-7a67-43e0-a340-da875cb48cb7 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 26
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Unavailable: canonical work link unavailable.
Observation dabe00a3-a172-4d0a-8830-908925e0a2e0 · outbound
Debate Helps Weak-to-Strong Generalization Distilling the Knowledge in a Neural Network
Reference 27
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Unavailable: canonical work link unavailable.
Observation 08e8d225-db2e-460a-8f78-9d4e6913bcd1 · outbound
Debate Helps Weak-to-Strong Generalization Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Reference 28
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Unavailable: canonical work link unavailable.
Observation 040d30dd-6701-4b76-b8af-00846b06dfac · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f5dda201-36fc-476f-a6de-1eff9b9f5276 · outbound
Debate Helps Weak-to-Strong Generalization AI safety via debate
Reference 30
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Unavailable: canonical work link unavailable.
Observation 4db34dd8-bf07-41ee-b3d7-53e64e0fb2e1 · outbound
Debate Helps Weak-to-Strong Generalization AI Alignment: A Comprehensive Survey
Reference 31
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Unavailable: canonical work link unavailable.
Observation c87603ab-fa8c-4f99-b622-7cf576f11694 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 613cbe95-0e87-4cbc-b7ef-9e45c271b683 · outbound
Debate Helps Weak-to-Strong Generalization On scalable oversight with weak LLMs judging strong LLMs
Reference 33
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Unavailable: canonical work link unavailable.
Observation a4e71ad5-91af-49df-b316-1699893a3401 · outbound
Debate Helps Weak-to-Strong Generalization Debating with More Persuasive LLMs Leads to More Truthful Answers
Reference 34
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Unavailable: canonical work link unavailable.
Observation 7840a6b4-be4f-4701-b4fe-263728911ab2 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 35
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Unavailable: canonical work link unavailable.
Observation 8b016a23-a8ed-4301-90e2-19a6d26b8e72 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 18412e5e-0a41-4f6d-a3dc-2769650d39ec · outbound
Debate Helps Weak-to-Strong Generalization Scalable agent alignment via reward modeling: a research direction
Reference 37
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Unavailable: canonical work link unavailable.
Observation 79b8e75c-c33b-4b7b-bd74-18a8bf21a44e · outbound
Debate Helps Weak-to-Strong Generalization Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 38
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Observation dac2c284-3502-4851-9e37-3aba43fec5e9 · outbound
Debate Helps Weak-to-Strong Generalization Let's Verify Step by Step
Reference 39
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Unavailable: canonical work link unavailable.
Observation 7443a61d-e455-470d-b184-eff7485e55fc · outbound
Debate Helps Weak-to-Strong Generalization Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 40
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Unavailable: canonical work link unavailable.
Observation d77895bb-706e-4f44-a70e-a052df001dbc · outbound
Debate Helps Weak-to-Strong Generalization LLM Critics Help Catch LLM Bugs
Reference 41
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Observation 6cdb109c-7d78-4794-bde5-6323b7bb6463 · outbound
Debate Helps Weak-to-Strong Generalization Debate Helps Supervise Unreliable Experts
Reference 42
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Observation cf8676e2-59bd-4a3b-b4a1-fff30f0cd943 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a80c717a-d2e8-4c5a-8106-a948f7fe55a6 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 44
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Unavailable: canonical work link unavailable.
Observation fe9162d3-da8c-458b-ac74-76a21ff33b47 · outbound
Debate Helps Weak-to-Strong Generalization Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions
Reference 45
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Unavailable: canonical work link unavailable.
Observation f8883fcd-2bd7-492a-a5c4-680a02b466ca · outbound
Debate Helps Weak-to-Strong Generalization Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
Reference 46
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Unavailable: canonical work link unavailable.
Observation 9797acda-9252-48c1-bcea-0dd230db113c · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 47
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Unavailable: canonical work link unavailable.
Observation aa73abb2-54c2-4e48-a89f-a33772d9189b · outbound
Debate Helps Weak-to-Strong Generalization Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Reference 48
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Unavailable: canonical work link unavailable.
Observation bc923df2-6a27-47d9-a441-174a7123af19 · outbound
Debate Helps Weak-to-Strong Generalization D.; Ermon, S.; and Finn, C
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 82daee7e-957e-457b-9af5-ea6479137dbb · outbound
Debate Helps Weak-to-Strong Generalization Self-critiquing models for assisting human evaluators
Reference 50
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Unavailable: canonical work link unavailable.
Observation f8aaced8-6619-4b7b-981b-1fa955669cd2 · outbound
Debate Helps Weak-to-Strong Generalization Unresolved cited work
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c16f1a93-db46-4c6e-b855-2fcb8010beeb · outbound
Debate Helps Weak-to-Strong Generalization Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Reference 52
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Unavailable: canonical work link unavailable.
Observation 0b184e7c-f9aa-4f20-9d76-4d11343e23da · outbound
Debate Helps Weak-to-Strong Generalization Finetuned Language Models Are Zero-Shot Learners
Reference 53
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Unavailable: canonical work link unavailable.
Observation dc1afc4d-31ff-4cf0-8ea6-76ea9ecabc6d · outbound
Debate Helps Weak-to-Strong Generalization Crowdsourcing Multiple Choice Science Questions
Reference 54
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Unavailable: canonical work link unavailable.
Observation 17e391db-d66f-4f2f-9807-8fa02d80e2e5 · outbound
Debate Helps Weak-to-Strong Generalization Retrieval meets Long Context Large Language Models
Reference 55
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Unavailable: canonical work link unavailable.
Observation 7e9772c2-cd4d-47bf-b516-1a4299b9ea11 · outbound
Debate Helps Weak-to-Strong Generalization Qwen2 Technical Report
Reference 56
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Unavailable: canonical work link unavailable.
Observation 5467baa6-896a-4054-9a8a-0158afb3a8f7 · inbound
On Weak-to-Strong Generalization and f-Divergence Debate Helps Weak-to-Strong Generalization
Reference 20
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Unavailable: canonical work link unavailable.
Observation 482726aa-6668-4d90-841c-dc234afca742 · inbound
When to Trust Context: Self-Reflective Debates for Context Reliability Debate Helps Weak-to-Strong Generalization
Reference 19
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Unavailable: canonical work link unavailable.
Observation 9157f07d-b02f-4640-9e92-5afabc428f72 · inbound
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Debate Helps Weak-to-Strong Generalization
Reference 132
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Unavailable: canonical work link unavailable.
Observation 325bd2a9-eb0f-4a67-a6c4-a13267cefb10 · inbound
Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks Debate Helps Weak-to-Strong Generalization
Reference 36
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Unavailable: canonical work link unavailable.
Observation 6e052142-40ff-4270-a482-cb3d6643cbe3 · inbound
ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Debate Helps Weak-to-Strong Generalization
Reference 49
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Unavailable: canonical work link unavailable.
Observation 5b5099c4-6e85-4488-b06b-625ac06b9330 · inbound
On the Blessing of Pre-training in Weak-to-Strong Generalization Debate Helps Weak-to-Strong Generalization
Reference 117
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.