Paper Citation Record · LEDGER

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2504.10081.

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

pith.paper-citation-record.v1
2504.10081 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:20.305556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:35.443766Z

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 710f0ab9-73f4-446b-9da9-a2e1b05b2caa · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-16T00:48:20.305556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef31bec-e2ce-4c7f-929a-f8b5b8b3374b · inbound

Practical Reasoning Interruption Attacks on Reasoning Large Language Models cites this paper.

Practical Reasoning Interruption Attacks on Reasoning Large Language Models RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:00.151285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab77b23f-1485-4986-a3f9-675a575d0896 · inbound

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models cites this paper.

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:50.995870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819acaa8-bd1f-4312-b798-cfa8d394265a · inbound

Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space cites this paper.

Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:36:00.744967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8481d4d-c303-4af0-a20a-fba4044d020d · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:45.251692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14fa33a6-25c9-4749-b8f2-378c165ee02b · inbound

Does More Inference-Time Compute Really Help Robustness? cites this paper.

Does More Inference-Time Compute Really Help Robustness? RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:22.599759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dce2b2-92b8-4db2-ba16-40aefb5788d8 · inbound

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge cites this paper.

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T10:18:26.207413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 094a22d1-4be0-4784-b82b-83d3dfb910ff · inbound

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:02:54.772932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7295dc7-96d6-4c7d-89c7-48c085be27f4 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:07.033427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c60e65-931a-4d50-be40-3d9f8990d116 · inbound

Reasoning Structure Matters for Safety Alignment of Reasoning Models cites this paper.

Reasoning Structure Matters for Safety Alignment of Reasoning Models RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:38:17.428492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95de90e7-799c-414f-9fb4-d773aa4feafa · inbound

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories cites this paper.

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:16.183890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ff2c3ef-4754-4b09-8062-278c008d5915 · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.821460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4324829-badf-4c9b-8207-af00e7ea3d8f · inbound

Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing cites this paper.

Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:35.184782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f323737f-17ca-444e-8548-390bad2c63f6 · inbound

Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.

Addressing Over-Refusal in LLMs with Competing Rewards RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:55:35.446184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d2a549f-728a-455a-92c4-2e0d9ab69cbb · inbound

UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation cites this paper.

UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T19:54:51.100764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.