Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.16436.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:57.905368Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T15:51:29.355251Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 5370dfe7-0ac7-412f-ac8c-257b3516106c · inbound
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 267
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 206d38f8-6001-4688-a32f-53524120eb29 · inbound
Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551e7d34-90c3-4fd9-adf5-b9717b571467 · inbound
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae148c67-3aee-4709-bed9-cfe1c368eacc · inbound
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b856fd7-88d8-4400-897b-592296f9adef · inbound
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72162c4c-fb81-48bd-96d3-f3e60f6772bc · inbound
Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1a6b039b-9246-4efc-8272-be4ed36d7e4b · inbound
Multi-Turn On-Policy Distillation with Prefix Replay Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 87
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 779f7c7f-44bf-413e-bb64-6a5a6ac6338b · inbound
Multi-Turn On-Policy Distillation with Prefix Replay Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Reference 88
Source-reported events for the cited work
Unavailable: canonical work link unavailable.