Paper Citation Record · LEDGER

Self-Consuming Generative Models with Adversarially Curated Data

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.09768.

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

pith.paper-citation-record.v1
2505.09768 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:32:39.100395Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

43 of 43 outbound references displayed

verified exact1
verified fuzzy23
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09c522e2-3fb8-40d5-be12-214c4ba659a4 · outbound

This paper cites Resemble AI - AI voice generation and cloning platform.

Self-Consuming Generative Models with Adversarially Curated Data Resemble AI - AI voice generation and cloning platform

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.203460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf07d740-81d9-4c2f-95b3-348fdeb3c76d · outbound

This paper cites I., Babaei, H., LeJeune, D., Siahkoohi, A., and Baraniuk, R.

Self-Consuming Generative Models with Adversarially Curated Data I., Babaei, H., LeJeune, D., Siahkoohi, A., and Baraniuk, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.186911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00e3b830-0673-46a0-a0bc-03f7a0b43cbb · outbound

This paper cites Self-Improving Diffusion Models with Synthetic Data.

Self-Consuming Generative Models with Adversarially Curated Data Self-Improving Diffusion Models with Synthetic Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.921363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684b81f1-1a06-4f3d-90c8-1dd4aaeaaa32 · outbound

This paper cites Claude - A next-generation AI assistant by anthropic.

Self-Consuming Generative Models with Adversarially Curated Data Claude - A next-generation AI assistant by anthropic

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.172000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61eac6e2-04cd-42a7-bc6c-126b1a16724a · outbound

This paper cites Best-of-venom: Attacking RLHF by injecting poisoned preference data.

Self-Consuming Generative Models with Adversarially Curated Data Best-of-venom: Attacking RLHF by injecting poisoned preference data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.152524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1aa043e-b3bc-4dd5-99a7-9ac1a52f3c06 · outbound

This paper cites On the stability of iterative retraining of generative models on their own data.

Self-Consuming Generative Models with Adversarially Curated Data On the stability of iterative retraining of generative models on their own data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.933800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb42752-3472-4858-ac2a-fa40a3e1b86d · outbound

This paper cites Support vector machines under adversarial label noise.

Self-Consuming Generative Models with Adversarially Curated Data Support vector machines under adversarial label noise

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.128815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 836e2a4f-fdf7-40ff-ba4c-156e641030b1 · outbound

This paper cites an unresolved cited work.

Self-Consuming Generative Models with Adversarially Curated Data Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:32:40.117009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 995b7c14-da34-4bd7-bb86-6fcc9967db03 · outbound

This paper cites A., Paleka, D., Pearce, W., Anderson, H., Terzis, A., Thomas, K., and Tramèr, F.

Self-Consuming Generative Models with Adversarially Curated Data A., Paleka, D., Pearce, W., Anderson, H., Terzis, A., Thomas, K., and Tramèr, F

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.945394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b32c55-0442-41d0-b381-7d5ea071cf35 · outbound

This paper cites Would deep generative models amplify bias in future models? In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.\ 10833--10843, 2024.

Self-Consuming Generative Models with Adversarially Curated Data Would deep generative models amplify bias in future models? In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.\ 10833--10843, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.949455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7822226-9193-4c84-b745-08e9fbf6a821 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.

Self-Consuming Generative Models with Adversarially Curated Data A fast and elitist multiobjective genetic algorithm: Nsga-ii

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.953312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2e777b-dd1f-4b47-880b-fbc5a37ccd33 · outbound

This paper cites Stable diffusion - open-source ai for creating images from text.

Self-Consuming Generative Models with Adversarially Curated Data Stable diffusion - open-source ai for creating images from text

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.103552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe5a6982-dfa2-4560-9df6-d8525928864c · outbound

This paper cites J., and Gidel, G.

Self-Consuming Generative Models with Adversarially Curated Data J., and Gidel, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.091199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e19e9be0-4508-4c67-b07e-75759c4d7e5d · outbound

This paper cites B., Gromov, A., Roberts, D., Yang, D., Donoho, D.

Self-Consuming Generative Models with Adversarially Curated Data B., Gromov, A., Roberts, D., Yang, D., Donoho, D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.072691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d1c03fa-4300-4a77-9055-a139ea893914 · outbound

This paper cites Self-correcting self-consuming loops for generative model training.

Self-Consuming Generative Models with Adversarially Curated Data Self-correcting self-consuming loops for generative model training

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.058998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a1bdf0e-5eff-476f-8c26-4ecdea1538df · outbound

This paper cites Deep residual learning for image recognition.

Self-Consuming Generative Models with Adversarially Curated Data Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:38.976245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c68091a-4e3b-4fa6-9070-b800f412d742 · outbound

This paper cites Denoising diffusion probabilistic models.

Self-Consuming Generative Models with Adversarially Curated Data Denoising diffusion probabilistic models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.041189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85eac9f4-4d9f-4549-ac39-9e76f074c280 · outbound

This paper cites Forcing generative models to degenerate ones: The power of data poisoning attacks.

Self-Consuming Generative Models with Adversarially Curated Data Forcing generative models to degenerate ones: The power of data poisoning attacks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:40.020702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e618fbe3-f171-4295-8604-02cbb7adc8a5 · outbound

This paper cites an unresolved cited work.

Self-Consuming Generative Models with Adversarially Curated Data Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:32:39.996682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5ebdae3-f241-4cd1-819d-b04b60277dcb · outbound

This paper cites Learning multiple layers of features from tiny images.

Self-Consuming Generative Models with Adversarially Curated Data Learning multiple layers of features from tiny images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.979411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6679b13a-1471-40a7-a426-a8798df33afe · outbound

This paper cites Pika labs - AI -generated videos from text.

Self-Consuming Generative Models with Adversarially Curated Data Pika labs - AI -generated videos from text

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.967057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b2ecdf7-32d0-4f00-8196-747e07b8b8bc · outbound

This paper cites Robust linear regression against training data poisoning.

Self-Consuming Generative Models with Adversarially Curated Data Robust linear regression against training data poisoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.003940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0cdef4c-54d6-406c-908d-b6f39e327c94 · outbound

This paper cites Aligning with human judgement: The role of pairwise preference in large language model evaluators.

Self-Consuming Generative Models with Adversarially Curated Data Aligning with human judgement: The role of pairwise preference in large language model evaluators

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.008835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f651f9-56b4-48fd-bf94-2ffe42c02fd9 · outbound

This paper cites and Zhu, X.

Self-Consuming Generative Models with Adversarially Curated Data and Zhu, X

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.947266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c7443a8-6d4c-446d-8c3e-c1b4caa16203 · outbound

This paper cites Midjourney - AI -generated art platform.

Self-Consuming Generative Models with Adversarially Curated Data Midjourney - AI -generated art platform

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.934700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7087d730-e887-40cb-b078-1a9fdaa82867 · outbound

This paper cites Runway ML - AI tools for creators.

Self-Consuming Generative Models with Adversarially Curated Data Runway ML - AI tools for creators

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.922764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5feecfd3-6080-4c96-9650-f2077d181d07 · outbound

This paper cites Pareto multi objective optimization.

Self-Consuming Generative Models with Adversarially Curated Data Pareto multi objective optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.027511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c10e72f-fe39-47b7-8ab2-15f898a82691 · outbound

This paper cites GPT-4 Technical Report.

Self-Consuming Generative Models with Adversarially Curated Data GPT-4 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.035261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 739ec966-b090-4c8a-a97e-f0917b2d9e43 · outbound

This paper cites ChatGPT - Conversational AI by OpenAI.

Self-Consuming Generative Models with Adversarially Curated Data ChatGPT - Conversational AI by OpenAI

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.905815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d59be0ba-75cb-40bc-90e6-17d2698f60e0 · outbound

This paper cites Journeydb: A benchmark for generative image understanding, 2023.

Self-Consuming Generative Models with Adversarially Curated Data Journeydb: A benchmark for generative image understanding, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.044426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7557becb-bb47-4ba8-a9f2-02e5648fbcb9 · outbound

This paper cites an unresolved cited work.

Self-Consuming Generative Models with Adversarially Curated Data Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:32:39.884008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7332a025-7f33-4af6-9df7-72358931663c · outbound

This paper cites AI models collapse when trained on recursively generated data.

Self-Consuming Generative Models with Adversarially Curated Data AI models collapse when trained on recursively generated data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.053099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402b5b3f-bf15-44f0-b317-4da02637d446 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Self-Consuming Generative Models with Adversarially Curated Data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.057653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcafa43-622c-4dc9-bf09-a757443c88e1 · outbound

This paper cites What distributions are robust to indiscriminate poisoning attacks for linear learners? In Advances in Neural Information Processing Systems, volume 36, pp.\ 34942--34980.

Self-Consuming Generative Models with Adversarially Curated Data What distributions are robust to indiscriminate poisoning attacks for linear learners? In Advances in Neural Information Processing Systems, volume 36, pp.\ 34942--34980

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.863880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5935632-db5c-44c1-bd7c-1fb4f6335f02 · outbound

This paper cites and Hashimoto, T.

Self-Consuming Generative Models with Adversarially Curated Data and Hashimoto, T

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.847570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1515a128-c8ec-492a-aaac-fb787d159268 · outbound

This paper cites and Kantarcioglu, M.

Self-Consuming Generative Models with Adversarially Curated Data and Kantarcioglu, M

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T21:32:39.144658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c07a809-e34c-4c60-812b-46a6d625fd5a · outbound

This paper cites Preference poisoning attacks on reward model learning.

Self-Consuming Generative Models with Adversarially Curated Data Preference poisoning attacks on reward model learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.075500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c7d12f-9b94-447f-bb24-07b65e431bf6 · outbound

This paper cites Fairness feedback loops: Training on synthetic data amplifies bias.

Self-Consuming Generative Models with Adversarially Curated Data Fairness feedback loops: Training on synthetic data amplifies bias

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.079317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cc6507-fced-4699-b227-60dcbc8faee4 · outbound

This paper cites and Zhang, X.

Self-Consuming Generative Models with Adversarially Curated Data and Zhang, X

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.833533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bad51a5c-4c4e-4b4c-a623-0106ee71a710 · outbound

This paper cites Meta-Sift : How to sift out a clean subset in the presence of data poisoning? In 32nd USENIX Security Symposium, pp.\ 1667--1684.

Self-Consuming Generative Models with Adversarially Curated Data Meta-Sift : How to sift out a clean subset in the presence of data poisoning? In 32nd USENIX Security Symposium, pp.\ 1667--1684

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.821194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c39491a3-36bb-460c-b2b2-a95c78ae507a · outbound

This paper cites Practical data poisoning attack against next-item recommendation.

Self-Consuming Generative Models with Adversarially Curated Data Practical data poisoning attack against next-item recommendation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.807151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a881c099-c3fe-4de4-b975-f27768b62a31 · outbound

This paper cites RMB: comprehensively benchmarking reward models in LLM alignment.

Self-Consuming Generative Models with Adversarially Curated Data RMB: comprehensively benchmarking reward models in LLM alignment

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:39.793606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf61a4cb-f2f8-41bb-a380-2b0e3693b8c2 · outbound

This paper cites write newline.

Self-Consuming Generative Models with Adversarially Curated Data write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:39.100395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.