Paper Citation Record · LEDGER

Unbiased Alignment for Large Language Models with Noisy Preferences

As of 6 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.03248.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.03248 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:50:30.002103Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7685b021-cb95-4531-945e-73576eea0429 · outbound

This paper cites Qwen Technical Report.

Unbiased Alignment for Large Language Models with Noisy Preferences Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312ae219-22d4-4818-8bcc-956f263e0ab9 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Unbiased Alignment for Large Language Models with Noisy Preferences Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c0c7a06-27ad-4677-982b-92c9c40f6844 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Unbiased Alignment for Large Language Models with Noisy Preferences D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22df411c-19d2-46b3-ae7c-360413ce0342 · outbound

This paper cites The Llama 3 Herd of Models.

Unbiased Alignment for Large Language Models with Noisy Preferences The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472a3426-3be9-4046-b703-010870a5e3a7 · outbound

This paper cites H., Ghandeharioun, A., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., and Picard, R.

Unbiased Alignment for Large Language Models with Noisy Preferences H., Ghandeharioun, A., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., and Picard, R

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4575764d-2ac8-457d-b570-17abf0bea412 · outbound

This paper cites A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges.

Unbiased Alignment for Large Language Models with Noisy Preferences A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3da6bf0-28f8-4f54-92b3-d184b6060e54 · outbound

This paper cites DeepSeek-V3 Technical Report.

Unbiased Alignment for Large Language Models with Noisy Preferences DeepSeek-V3 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d92ddab-da28-442b-8778-3481b1b90723 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Unbiased Alignment for Large Language Models with Noisy Preferences WebGPT: Browser-assisted question-answering with human feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffa97fa-0313-4b24-b93e-43b2cb96443b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Unbiased Alignment for Large Language Models with Noisy Preferences Proximal Policy Optimization Algorithms

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88dbfaf9-80ff-4b5d-b8ef-b564808f0418 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Unbiased Alignment for Large Language Models with Noisy Preferences DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd035b0-6c76-423b-94de-9fbaef639182 · outbound

This paper cites Qwen3 Technical Report.

Unbiased Alignment for Large Language Models with Noisy Preferences Qwen3 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1470d54a-8ab3-4f29-b8b4-1ffcaa06c8cf · outbound

This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

Unbiased Alignment for Large Language Models with Noisy Preferences SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f31224-f330-4bc4-904c-092c4b5b66f5 · outbound

This paper cites an unresolved cited work.

Unbiased Alignment for Large Language Models with Noisy Preferences Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f847fc5d-9843-4ae7-a7bd-e7d97b8e041c · outbound

This paper cites an unresolved cited work.

Unbiased Alignment for Large Language Models with Noisy Preferences Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a050f8-c2a6-4c74-a8a0-476e51c04128 · outbound

This paper cites Proof of Corollary 4.10 Proof.

Unbiased Alignment for Large Language Models with Noisy Preferences Proof of Corollary 4.10 Proof

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a23be41-4f6f-4aa9-9774-ae2abc36f540 · outbound

This paper cites For reward model training, we train the model for 3 epochs with learning rate 1e-5.

Unbiased Alignment for Large Language Models with Noisy Preferences For reward model training, we train the model for 3 epochs with learning rate 1e-5

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T03:50:30.002103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.