Paper Citation Record · LEDGER

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.09796.

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

pith.paper-citation-record.v1
2607.09796 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:00:54.425668Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aca230d-8b15-4f5a-8928-d91711e92c18 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:52.929767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0931fc-8648-49c2-bad9-328f5bbd7111 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Gemini: A Family of Highly Capable Multimodal Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.098419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a7a2cb-4043-4ed9-aa98-12b48798f493 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Training language models to follow instructions with human feedback,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.238696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e268142-58db-4f38-89e9-6a650eb1b834 · outbound

This paper cites A survey of reinforcement learning from human feedback,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels A survey of reinforcement learning from human feedback,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.346910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6feb314c-d597-4fd9-8763-ced9bfa9ad1f · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Secrets of RLHF in Large Language Models Part I: PPO

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.466595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64701f37-1a06-4123-a031-7220fee115eb · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Direct preference optimization: Your language model is secretly a reward model,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.611286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c693273-2509-4423-9d5e-862d0b850da2 · outbound

This paper cites Impact of Preference Noise on the Alignment Performance of Generative Language Models.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Impact of Preference Noise on the Alignment Performance of Generative Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.707181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e433b4e7-168e-4078-ad68-e57a0bc95423 · outbound

This paper cites Secrets of RLHF in Large Language Models Part II: Reward Modeling.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Secrets of RLHF in Large Language Models Part II: Reward Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.827430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b17ee32-4086-4ec1-9545-b8151cf549fd · outbound

This paper cites Provably Robust DPO: Aligning Language Models with Noisy Feedback.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Provably Robust DPO: Aligning Language Models with Noisy Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:53.937134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e99f1f6-b98c-4fe3-8fe9-a275580ba303 · outbound

This paper cites Towards robust alignment of language models: Distributionally robustifying direct preference optimization,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Towards robust alignment of language models: Distributionally robustifying direct preference optimization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.064001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfffeca-879a-4ce5-987d-5e401230e430 · outbound

This paper cites Robust reinforcement learning from corrupted human feedback,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Robust reinforcement learning from corrupted human feedback,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.204718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24330402-b1e9-4ada-af0b-05a23c50799b · outbound

This paper cites A note on dpo with noisy preferences & relationship to ipo,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels A note on dpo with noisy preferences & relationship to ipo,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.319006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a574ca6-d7a3-4e5f-bc54-0d9dc4331c41 · outbound

This paper cites ROPO: Robust Preference Optimization for Large Language Models.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels ROPO: Robust Preference Optimization for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.368024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a84b421-1a3c-47c9-9f76-6ddf37922a2d · outbound

This paper cites Perplexity-aware correction for robust alignment with noisy preferences,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Perplexity-aware correction for robust alignment with noisy preferences,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.371530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6131fc92-033a-4ffc-af97-82464ebfa606 · outbound

This paper cites Aligner, diagnose thyself: A meta-learning paradigm for fusing intrinsic feedback in preference alignment,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Aligner, diagnose thyself: A meta-learning paradigm for fusing intrinsic feedback in preference alignment,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.374380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12468e06-1ead-4f76-834d-9dbfcbc601d5 · outbound

This paper cites Learning temporally-aware sample weights for preference optimization,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Learning temporally-aware sample weights for preference optimization,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.377966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867bda2a-2d7a-4956-84b6-2d520fd69edc · outbound

This paper cites Meta-weight-net: Learning an explicit mapping for sample weighting,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Meta-weight-net: Learning an explicit mapping for sample weighting,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.380640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f56aa2-2e47-4c81-9486-cef2e2406fc9 · outbound

This paper cites Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.383153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944ba94d-a6d1-4127-a2d7-d5b1b51d9308 · outbound

This paper cites Dac-mr: Data augmentation consistency based meta-regularization for meta-learning,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Dac-mr: Data augmentation consistency based meta-regularization for meta-learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.386256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e54f54bc-abb5-49f7-9340-d067e27b5c9a · outbound

This paper cites Bilevel programming for hyperparameter optimization and meta-learning,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Bilevel programming for hyperparameter optimization and meta-learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.389235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6829e37a-d62d-4338-9069-924b7e20d4f8 · outbound

This paper cites Meta-learning in neural networks: A survey,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Meta-learning in neural networks: A survey,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.393237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93461d67-6541-4611-8948-589b1419b7fa · outbound

This paper cites Improving neural machine translation models with monolingual data,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Improving neural machine translation models with monolingual data,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.396304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77ca1b1-9b02-4675-9cb2-8ecdb49a7f81 · outbound

This paper cites Understanding back-translation at scale,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Understanding back-translation at scale,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.398908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ef1c31-0341-4615-84b2-eb930e444f25 · outbound

This paper cites Unsupervised data augmentation for consistency training,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Unsupervised data augmentation for consistency training,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.401991Z

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Unavailable: canonical work link unavailable.

Observation b9922247-f610-4e3c-9b37-bdaa976a14ee · outbound

This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.404468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c7c75a-964f-4be3-98db-7ccacb9aa456 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Lora: Low-rank adaptation of large language models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.407720Z

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Unavailable: canonical work link unavailable.

Observation 69eaef8e-5ec0-4b85-b9dd-0535ea09c5e3 · outbound

This paper cites Tl; dr: Mining reddit to learn automatic summarization,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Tl; dr: Mining reddit to learn automatic summarization,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.410589Z

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Unavailable: canonical work link unavailable.

Observation 28c48aa1-3b33-49a3-93a6-c07352f24529 · outbound

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

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.413435Z

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Unavailable: canonical work link unavailable.

Observation b20846d6-bb5a-4e7f-8202-ecf8b0d0850a · outbound

This paper cites Learning to summarize with human feedback,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Learning to summarize with human feedback,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.416890Z

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Unavailable: canonical work link unavailable.

Observation d7307662-d974-4d78-bb32-98f06ff4217d · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.419591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690b7681-8411-4997-85af-d1a2fd2b624a · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels A general theoretical paradigm to understand learning from human preferences,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:54.422687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02291f2-64ac-44a1-af3f-272077dedac7 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-02T08:00:54.425668Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.