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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:50.995870Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 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.

source=pdf_text observed=2026-08-07T14:13:50.995870Z digest=sha256:2f4c3251c15880f9389e73cf37e8ac94805b38b5bc55158a33c085eecbc03de5

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.

source=arxiv_source observed=2026-08-07T13:36:00.744967Z digest=sha256:3b9a4e10c0352a995f6981f2925843f119fbb7bb1946ea8a7400ad8c98559abf

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.

source=pdf_text observed=2026-08-06T21:34:45.251692Z digest=sha256:e0acaf3737600b3bc3a73127084c4104451307254fed06c967f384dac56403d3

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.

source=pdf_text observed=2026-08-06T15:26:22.599759Z digest=sha256:8d50ac040be34dd25c4a8a625fadb32c828ead5dc7a83820a354884dc29fc0f6

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.

source=arxiv_source observed=2026-08-06T10:18:26.207413Z digest=sha256:90812094a18b7e9eeb5a6ddb4dd34959f5baf6289b4d7dfd6c38c23310d3364f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T01:02:07.088724Z digest=sha256:08fa33eff403d3aa6273c98b3672246d3212fd786bbfa851315d8c40552202c0

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.

source=pdf_text observed=2026-08-05T10:39:07.033427Z digest=sha256:ebeb77fd09e795fb9ad5513ca8ee55360de18e57a908f6ba1c6176e59c6ccdcd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T02:36:57.093584Z digest=sha256:90af0d558f22806f655768555c25f6a9ca086f66a350e781c92b07ccd02a07fd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:07:04.364417Z digest=sha256:091142656168d028a0e432b9b89acad21afb61ea4209fb22b3cf974841918dac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T12:07:49.656453Z digest=sha256:955733736f98105614e07869453a823fbfa44242f50145b24ec77b77fb532712

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T19:23:10.275977Z digest=sha256:00daaa3077bba953619aecb3964a5df01af26a90b6fd20b6114d1d9ea29fd910

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:59:12.695984Z digest=sha256:f0b4645a8c71ffc708dc2c50fb9f7f96220a8123b428bd90809f7682945ed398

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.

source=pdf_text observed=2026-08-01T19:54:51.100764Z digest=sha256:570fcc96d41b4d185c17502ec32312b68a04735d37670f05c1d3ea639bd70ba5