Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RAIN: Your Language Models Can Align Themselves without Finetuning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.07124.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:07:35.430899Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:27:37.151450Z
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 a5b85d78-6265-42c0-9c07-e5efde7decc1 · inbound
Low-Resource Languages Jailbreak GPT-4 cites this paper.
Low-Resource Languages Jailbreak GPT-4 RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T09:24:14.031548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eb14b367-7450-4882-8d0b-81d6d9e07759 · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.
Jailbreak Attacks and Defenses Against Large Language Models: A Survey RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:20:44.739450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d1dbda63-7d4d-4e17-a183-ab31d615a3df · inbound
Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions cites this paper.
Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:07:35.430899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8220def0-689a-42ca-a85c-828cfd0329b4 · inbound
Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs cites this paper.
Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T01:20:52.188334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9922a33d-669b-42fb-a3a8-b4fb4f2a7aec · inbound
Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment cites this paper.
Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:53:03.568490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c844c7a3-b105-4555-b89b-bf055ebdeb44 · inbound
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:27:40.576534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4e775e1-0bf0-41c7-9cd1-cc4b41e33072 · inbound
PUZZLED: Jailbreaking LLMs through Word-Based Puzzles cites this paper.
PUZZLED: Jailbreaking LLMs through Word-Based Puzzles RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:43:38.741656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9433ced-08b4-437e-8af9-ee080832af7e · inbound
SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks cites this paper.
SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:05:36.131490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9af9e927-2ea1-4b3b-b5c2-312c6ead1120 · inbound
Kwai Keye-VL 1.5 Technical Report cites this paper.
Kwai Keye-VL 1.5 Technical Report RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:28:26.384522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2523bbbf-bc42-459b-83c6-73f584ac5066 · inbound
Kwai Keye-VL-2.0 Technical Report cites this paper.
Kwai Keye-VL-2.0 Technical Report RAIN: Your Language Models Can Align Themselves without Finetuning
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:27:37.152727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.