Paper Citation Record · LEDGER

The Superalignment of Superhuman Intelligence with Large Language Models

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2412.11145.

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

pith.paper-citation-record.v1
2412.11145 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:18:17.886907Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy5
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ee5ceee-70c8-4a54-9594-ff6f9165c7e9 · outbound

This paper cites Large Language Model Alignment: A Survey.

The Superalignment of Superhuman Intelligence with Large Language Models Large Language Model Alignment: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.764452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4a4bff-479e-4ce9-a2de-474314a45475 · outbound

This paper cites Statistical Rejection Sampling Improves Preference Optimization.

The Superalignment of Superhuman Intelligence with Large Language Models Statistical Rejection Sampling Improves Preference Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.773756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab1c205b-8504-432f-98d1-6245523cdc74 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

The Superalignment of Superhuman Intelligence with Large Language Models KTO: Model Alignment as Prospect Theoretic Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.778579Z

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Observation d32a8254-b368-4624-95fa-9520e269f644 · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

The Superalignment of Superhuman Intelligence with Large Language Models Measuring Progress on Scalable Oversight for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.783327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b50d46-0267-4805-a866-16ef8e1779be · outbound

This paper cites Supervising strong learners by amplifying weak experts.

The Superalignment of Superhuman Intelligence with Large Language Models Supervising strong learners by amplifying weak experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.788272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a28e9c60-0409-4a0e-ade6-96397527604a · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

The Superalignment of Superhuman Intelligence with Large Language Models Scalable agent alignment via reward modeling: a research direction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.792623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0ea86e-646b-42c1-8dd0-c87bb1a3d15c · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

The Superalignment of Superhuman Intelligence with Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.796886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd39d37-f285-4817-9a59-e0666b752e76 · outbound

This paper cites AI safety via debate.

The Superalignment of Superhuman Intelligence with Large Language Models AI safety via debate

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.801169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ef8334-a65e-445d-b030-20965e2b20c8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

The Superalignment of Superhuman Intelligence with Large Language Models Training Verifiers to Solve Math Word Problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.810199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66629ff-e189-4614-bdf9-3f3a95ab5386 · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

The Superalignment of Superhuman Intelligence with Large Language Models LLM Critics Help Catch LLM Bugs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.820149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c67b252-b1f5-4a07-bc7a-bbc985a2c63a · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

The Superalignment of Superhuman Intelligence with Large Language Models Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.824191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2708c8af-192b-4a68-93db-24b239e5a1e5 · outbound

This paper cites AutoDetect: Towards a unified framework for automated weakness detection in large language models.

The Superalignment of Superhuman Intelligence with Large Language Models AutoDetect: Towards a unified framework for automated weakness detection in large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:18.293578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ecd67083-f9ee-4f72-baab-447e193754a4 · outbound

This paper cites Language Models Learn to Mislead Humans via RLHF.

The Superalignment of Superhuman Intelligence with Large Language Models Language Models Learn to Mislead Humans via RLHF

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.834330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1047eca7-37bc-493c-b977-30c9fb9dcd0b · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

The Superalignment of Superhuman Intelligence with Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.838574Z

Source-reported events for the cited work

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Observation 2db461c9-03b7-44bb-9755-b95547d1b5d9 · outbound

This paper cites Unveiling the implicit toxicity in large language models.

The Superalignment of Superhuman Intelligence with Large Language Models Unveiling the implicit toxicity in large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:18.279193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d76fa22-507b-429e-a715-bcfd64e27215 · outbound

This paper cites Improving Reward Models with Synthetic Critiques.

The Superalignment of Superhuman Intelligence with Large Language Models Improving Reward Models with Synthetic Critiques

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.846870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9196234-2fa9-4c5c-9a18-9db170704218 · outbound

This paper cites Reinforcement Learning for Generative AI: A Survey.

The Superalignment of Superhuman Intelligence with Large Language Models Reinforcement Learning for Generative AI: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.851686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b3b56d-02ac-4c2f-a0a9-7bef81be63a4 · outbound

This paper cites Learning to refine with fine-grained natural language feedback.

The Superalignment of Superhuman Intelligence with Large Language Models Learning to refine with fine-grained natural language feedback

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:18.265397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81eac04b-19eb-454d-b5f6-73eb1e5e90f8 · outbound

This paper cites Improving Model Factuality with Fine-grained Critique-based Evaluator.

The Superalignment of Superhuman Intelligence with Large Language Models Improving Model Factuality with Fine-grained Critique-based Evaluator

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.860973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db97a81-6283-4170-99ba-26eda00bbc34 · outbound

This paper cites Bayesian calibration of win rate estimation with LLM evaluators.

The Superalignment of Superhuman Intelligence with Large Language Models Bayesian calibration of win rate estimation with LLM evaluators

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:18.251679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 717fbb25-ced1-4ed4-b551-15a149fe3a90 · outbound

This paper cites Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.

The Superalignment of Superhuman Intelligence with Large Language Models Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.868903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfbecd98-f46b-4f7b-92fb-2dc7d38a88b7 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

The Superalignment of Superhuman Intelligence with Large Language Models JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.873601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f631249e-2027-428f-a169-0f54032ef4b2 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

The Superalignment of Superhuman Intelligence with Large Language Models Self-critiquing models for assisting human evaluators

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.877823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28700c0-7ecd-4477-8c5e-6f7da6145206 · outbound

This paper cites Lm vs lm: Detecting factual errors via cross examination.

The Superalignment of Superhuman Intelligence with Large Language Models Lm vs lm: Detecting factual errors via cross examination

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:18.237875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b7f6cc6-638b-4e6f-8427-d88ade9038f5 · outbound

This paper cites Panacea: Pareto Alignment via Preference Adaptation for LLMs.

The Superalignment of Superhuman Intelligence with Large Language Models Panacea: Pareto Alignment via Preference Adaptation for LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.886907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2a3476-5879-499e-9109-0c8b9ff6b1a9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

The Superalignment of Superhuman Intelligence with Large Language Models Evaluating Large Language Models Trained on Code

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.815334Z

Source-reported events for the cited work

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Observation 5c7ea3fc-7624-491e-8f72-99b0ad5f281e · outbound

This paper cites A Survey of Large Language Models.

The Superalignment of Superhuman Intelligence with Large Language Models A Survey of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.753976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ced059-cdeb-46d0-bcca-3f7ffa1b1e4b · outbound

This paper cites Proximal Policy Optimization Algorithms.

The Superalignment of Superhuman Intelligence with Large Language Models Proximal Policy Optimization Algorithms

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.768904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9719a814-22c5-47cf-b1ad-ab859268a7d5 · outbound

This paper cites Model evaluation for extreme risks.

The Superalignment of Superhuman Intelligence with Large Language Models Model evaluation for extreme risks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:17.759688Z

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Pith citing papers

No inbound Pith citation observations are available.