Paper Citation Record · LEDGER

Aligner: Efficient Alignment by Learning to Correct

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.02416.

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

pith.paper-citation-record.v1
2402.02416 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:57.812821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:12:28.734663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 07df9e27-759c-4048-be3c-26ded23721f2 · inbound

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs cites this paper.

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs Aligner: Efficient Alignment by Learning to Correct

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:17.718726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe97cd66-6674-40cc-8114-c2d85b8c6e79 · inbound

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation cites this paper.

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Aligner: Efficient Alignment by Learning to Correct

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:56.357555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8240c4-8397-45b7-9adf-fec35bfb660a · inbound

Gradual Vigilance and Interval Communication: Enhancing Value Alignment in Multi-Agent Debates cites this paper.

Gradual Vigilance and Interval Communication: Enhancing Value Alignment in Multi-Agent Debates Aligner: Efficient Alignment by Learning to Correct

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:10:19.068258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19939c44-5785-4c7c-8502-85546760a297 · inbound

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction cites this paper.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Aligner: Efficient Alignment by Learning to Correct

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:17:48.377346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22d0cdc-9799-45d9-af56-b3e61064f226 · inbound

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models cites this paper.

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models Aligner: Efficient Alignment by Learning to Correct

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:27.908141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444ac8cd-d294-49ee-a8be-5b21bf515177 · inbound

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss cites this paper.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Aligner: Efficient Alignment by Learning to Correct

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.804235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15d03d4c-14e1-499b-8722-cfa0c39ccf76 · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Aligner: Efficient Alignment by Learning to Correct

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-09T16:18:40.984315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65d9eb5-1ed1-4909-86a3-b4ae9c1630f2 · inbound

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment cites this paper.

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment Aligner: Efficient Alignment by Learning to Correct

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:57.812821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0edd6257-abfe-4df4-9962-6a7c1ccfd5a4 · inbound

Synergistic Weak-Strong Collaboration by Aligning Preferences cites this paper.

Synergistic Weak-Strong Collaboration by Aligning Preferences Aligner: Efficient Alignment by Learning to Correct

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:47.627257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a126d3-96d7-4fd9-9b44-91aec349b42b · inbound

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation cites this paper.

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation Aligner: Efficient Alignment by Learning to Correct

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:45.487622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0854d417-b344-4473-a723-5b8fa1bcce57 · inbound

A Survey on Training-free Alignment of Large Language Models cites this paper.

A Survey on Training-free Alignment of Large Language Models Aligner: Efficient Alignment by Learning to Correct

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T21:18:41.955175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2b16a6-e50d-4d97-8481-959b12427a30 · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Aligner: Efficient Alignment by Learning to Correct

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:28.160021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863bd64f-3983-4473-a368-962bb21d5915 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Aligner: Efficient Alignment by Learning to Correct

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:05.419222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b8e9802-1b8e-448a-ab06-e791cd561117 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Aligner: Efficient Alignment by Learning to Correct

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:26.385783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4bc87aac-e863-4484-b04b-3a765d724650 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Aligner: Efficient Alignment by Learning to Correct

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:12:28.737468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e115bf7-aa03-4c57-9704-95ed4123ad11 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Aligner: Efficient Alignment by Learning to Correct

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T14:53:24.080687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.