Paper Citation Record · LEDGER

On Monotonicity in AI Alignment

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.08998.

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

pith.paper-citation-record.v1
2506.08998 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:08:05.322977Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

47 of 47 outbound references displayed

verified exact3
verified fuzzy32
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8865cc1-19a3-4a9a-a54f-f471f5f11b8a · outbound

This paper cites Llama 3 model card.

On Monotonicity in AI Alignment Llama 3 model card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.099330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba2fe3c-be3f-49fc-8d54-7d276621a5ef · outbound

This paper cites Generalizing while preserving monotonicity in comparison-based preference learning models.

On Monotonicity in AI Alignment Generalizing while preserving monotonicity in comparison-based preference learning models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.175573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8ed761c0-c476-45d2-86f2-a4b3b1f88aec · outbound

This paper cites The necessity of cardinal human feedback for language model alignment.

On Monotonicity in AI Alignment The necessity of cardinal human feedback for language model alignment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.159212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47113d6c-08ea-4d8b-85ec-01e1f35d7fc3 · outbound

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

On Monotonicity in AI Alignment A general theoretical paradigm to understand learning from human preferences

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.141854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abc3f1ac-9883-47f3-88b0-9e2d4041df2a · outbound

This paper cites Rank analysis of incomplete block designs: I.

On Monotonicity in AI Alignment Rank analysis of incomplete block designs: I

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.120282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43d9c69-9d2d-497a-8e98-644fb9853176 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

On Monotonicity in AI Alignment Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.125120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a24ee1eb-03e0-49a3-8937-e0ec8c8529d7 · outbound

This paper cites Zhang, Xinyi Chen, Qiuyi (Richard) Zhang, Rajesh Ranganath, and Kyunghyun Cho.

On Monotonicity in AI Alignment Zhang, Xinyi Chen, Qiuyi (Richard) Zhang, Rajesh Ranganath, and Kyunghyun Cho

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.105907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9d6fad6-4ae1-4196-8584-57388c224658 · outbound

This paper cites Christiano, Jan Leike, Tom B.

On Monotonicity in AI Alignment Christiano, Jan Leike, Tom B

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.135253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8937f29f-a60d-4f26-823b-b70e628f5863 · outbound

This paper cites Em algorithms for generalized bradley-terry models.

On Monotonicity in AI Alignment Em algorithms for generalized bradley-terry models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.080334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ddb8cd9-deba-477e-8014-e62c0467dfea · outbound

This paper cites Ultrafeedback: Boosting language models with scaled ai feedback, 2024.

On Monotonicity in AI Alignment Ultrafeedback: Boosting language models with scaled ai feedback, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.064415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0179ab65-63cf-47d6-abc4-13d04bf4a86e · outbound

This paper cites Safesora: Towards safety alignment of text2video generation via a human preference dataset.

On Monotonicity in AI Alignment Safesora: Towards safety alignment of text2video generation via a human preference dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.049728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8128137d-fc88-4ea3-bdbf-c3e10887ec28 · outbound

This paper cites Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons.Proceedings of the AAAI Conference on Artificial Intelligence, 38(18):20379–20386, March 2024.

On Monotonicity in AI Alignment Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons.Proceedings of the AAAI Conference on Artificial Intelligence, 38(18):20379–20386, March 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.034719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43f550db-8c84-4b44-b63f-58ee8c4a16b7 · outbound

This paper cites Peter Campbell, Michael F.

On Monotonicity in AI Alignment Peter Campbell, Michael F

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.019291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf8fcdd4-6f37-4a5c-a96c-3c3e1eb34a2d · outbound

This paper cites Incomplete contracting and ai alignment.

On Monotonicity in AI Alignment Incomplete contracting and ai alignment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:06.004575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46b4ac15-d617-4be2-80cf-97efb18bec34 · outbound

This paper cites Meta faces ghana lawsuits over impact of extreme content on moderators.The Guardian, 2025.

On Monotonicity in AI Alignment Meta faces ghana lawsuits over impact of extreme content on moderators.The Guardian, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.988540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba2b1548-a329-4a42-80b2-7cf468f2de86 · outbound

This paper cites Cleaning up chatgpt takes heavy toll on human workers.

On Monotonicity in AI Alignment Cleaning up chatgpt takes heavy toll on human workers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.973119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 331e7915-e8e4-4789-b9a3-9d870694a02d · outbound

This paper cites Contrastive Preference Learning: Learning from Human Feedback without RL.

On Monotonicity in AI Alignment Contrastive Preference Learning: Learning from Human Feedback without RL

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.178661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec418622-8bbb-4091-a138-3d31e114be3f · outbound

This paper cites Towards robust end-to-end alignment.

On Monotonicity in AI Alignment Towards robust end-to-end alignment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.956808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86bec39c-9704-489e-9645-5fc2dea8fcd7 · outbound

This paper cites Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments.

On Monotonicity in AI Alignment Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:08:05.559800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07ed806f-e88e-4ddf-8ea1-e3435040061d · outbound

This paper cites Africa’s content moderators want compensation for job trauma.Deutsche Welle, 2025.

On Monotonicity in AI Alignment Africa’s content moderators want compensation for job trauma.Deutsche Welle, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.939878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8278b99-ee68-4ab9-9f4b-e7209827f4d8 · outbound

This paper cites A User Study of Perceived Carbon Footprint.

On Monotonicity in AI Alignment A User Study of Perceived Carbon Footprint

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:08:05.538075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d49f923d-f472-4f24-8ba9-26a98dfdfee7 · outbound

This paper cites Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback.

On Monotonicity in AI Alignment Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:08:05.514390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a75a7f40-2324-4bd2-b332-47b89619225e · outbound

This paper cites Procaccia.

On Monotonicity in AI Alignment Procaccia

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.921971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5553b58e-aa2e-4f0d-ae4f-fd4eab9acffc · outbound

This paper cites Collins, Yiwen Luo, Yang Li, Kai J.

On Monotonicity in AI Alignment Collins, Yiwen Luo, Yang Li, Kai J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.906633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fbe51ac-9de1-4b19-86f7-65a3fff85f6e · outbound

This paper cites Prefpaint: Aligning image inpainting diffusion model with human preference.

On Monotonicity in AI Alignment Prefpaint: Aligning image inpainting diffusion model with human preference

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.890076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5853a707-31de-41f9-af5f-264ab1995ec9 · outbound

This paper cites Blanchet, and Zhaoran Wang.

On Monotonicity in AI Alignment Blanchet, and Zhaoran Wang

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.873131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b232ea2-1643-401b-8453-e2fe780d2599 · outbound

This paper cites Chan, Jakob N.

On Monotonicity in AI Alignment Chan, Jakob N

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.856417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3a72ca7-1d17-4e88-8e78-1013e6884e3b · outbound

This paper cites Wiley New York, 1959.

On Monotonicity in AI Alignment Wiley New York, 1959

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.231120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812dc68e-5130-4114-8212-a132a5e2ad25 · outbound

This paper cites Simpo: Simple preference optimization with a reference-free reward.

On Monotonicity in AI Alignment Simpo: Simple preference optimization with a reference-free reward

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.828729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 643f3688-099d-49a9-8385-acaaef3b3fd9 · outbound

This paper cites Menke and Tony R.

On Monotonicity in AI Alignment Menke and Tony R

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.811906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9576b98b-d775-4c90-8e07-a7e7dc4ec117 · outbound

This paper cites Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel D.

On Monotonicity in AI Alignment Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel D

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.796113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 967da811-5933-449b-bc5c-ce4e7473caaf · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

On Monotonicity in AI Alignment Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.251731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0244e9-13fc-4d60-b1ef-060acc6b75c9 · outbound

This paper cites Iterative reasoning preference optimization.

On Monotonicity in AI Alignment Iterative reasoning preference optimization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.777989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a73de1e-2ef4-4b39-9aad-7aed4fca8f11 · outbound

This paper cites Openai used kenyan workers on less than $2 per hour to make chatgpt less toxic.

On Monotonicity in AI Alignment Openai used kenyan workers on less than $2 per hour to make chatgpt less toxic

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.762047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6fafd04e-e795-4e72-af2a-e2542d8f81a4 · outbound

This paper cites The analysis of permutations.Journal of the Royal Statistical Society Series C: Applied Statistics, 24(2):193–202, 1975.

On Monotonicity in AI Alignment The analysis of permutations.Journal of the Royal Statistical Society Series C: Applied Statistics, 24(2):193–202, 1975

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.266286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86ade87-dc7d-4056-9d2f-ea08caf43b7f · outbound

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

On Monotonicity in AI Alignment Direct preference optimization: Your language model is secretly a reward model

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.734049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b6ecadf-217d-44f9-a265-e154f2b74b8b · outbound

This paper cites Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization.

On Monotonicity in AI Alignment Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.275337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45660a3d-3ee1-4fa4-aa8d-db07db039812 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul F.

On Monotonicity in AI Alignment Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul F

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.717467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 996a10f4-8369-4368-a392-401e3ed60b1e · outbound

This paper cites Generalized preference optimization: A unified approach to offline alignment.

On Monotonicity in AI Alignment Generalized preference optimization: A unified approach to offline alignment

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.701345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03260ed4-be8f-47c6-921c-3a65d2a6c05c · outbound

This paper cites A law of comparative judgment.Psychological Review, 34(4):273–286, 1927.

On Monotonicity in AI Alignment A law of comparative judgment.Psychological Review, 34(4):273–286, 1927

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.684380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 168d0c44-d2b2-491e-a029-057878fb6c98 · outbound

This paper cites torchtune: Pytorch’s finetuning library, April 2024.

On Monotonicity in AI Alignment torchtune: Pytorch’s finetuning library, April 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.665071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aaa97e6d-c043-41e6-9e91-78f83ae95b40 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

On Monotonicity in AI Alignment Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.299678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c931ea-82be-491c-8783-b45b03e42ba7 · outbound

This paper cites an unresolved cited work.

On Monotonicity in AI Alignment Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:08:05.640676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5724b188-40ff-4541-906b-74de90ff09ef · outbound

This paper cites Die berechnung der turnier-ergebnisse als ein maximumproblem der wahrschein- lichkeitsrechnung.Mathematische Zeitschrift, 29(1):436–460, 1929.

On Monotonicity in AI Alignment Die berechnung der turnier-ergebnisse als ein maximumproblem der wahrschein- lichkeitsrechnung.Mathematische Zeitschrift, 29(1):436–460, 1929

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.625491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 655b99d6-390e-47fd-8cd8-c8031a902109 · outbound

This paper cites Speechalign: Aligning speech generation to human preferences.

On Monotonicity in AI Alignment Speechalign: Aligning speech generation to human preferences

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.609045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0316d34-f6ca-43d4-a16a-0d9c9284a720 · outbound

This paper cites Deep learning-based learning to rank with ties for image re-ranking.

On Monotonicity in AI Alignment Deep learning-based learning to rank with ties for image re-ranking

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:05.592478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad212efc-b520-4d1a-86e3-86662d50493f · outbound

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

On Monotonicity in AI Alignment SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:05.322977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.