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Paper Citation Record · LEDGER

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

As of 19 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 7 inbound Pith citation observations for arXiv:2507.18576.

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

pith.paper-citation-record.v1
2507.18576 v3

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:19.775024Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:46:10.926476Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact3
  • verified fuzzy36
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 14113f65-d8d5-486f-b5e5-712978b5e74c · outbound

This paper cites Traininglanguagemodelstoreasonefficiently.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Traininglanguagemodelstoreasonefficiently

Reference 1

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source=pdf_text observed=2026-08-06T14:37:18.942038Z digest=sha256:0f07d9d146fe3af67f6b16085aa0174e13722c191677e353b134c88e56b14caf

Observation b5b181f7-0515-4e43-add9-e15a1ad9fc68 · outbound

This paper cites Monitoringreasoningmodelsfor misbehaviorandtherisksofpromotingobfuscation,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Monitoringreasoningmodelsfor misbehaviorandtherisksofpromotingobfuscation,2025

Reference 2

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source=pdf_text observed=2026-08-06T14:37:18.964743Z digest=sha256:68dbb8c0f9521cf8d9df8ded83c0c72e72e49d50d795b0b585f9d795a273f747

Observation 11ed3197-923f-4b7f-bb17-4ccb639edcae · outbound

This paper cites The Structural Safety Generalization Problem.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law The Structural Safety Generalization Problem

Reference 3

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local_arxiv, observed 2026-08-06T14:37:22.792786Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:18.985862Z digest=sha256:f13340efff60bb0da658bba101d6839ee854ac65a5287bad4d967fcbdb35949f

Observation 53bb6b69-1acf-4f68-8e73-7402d5ac84c4 · outbound

This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Reference 4

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source=pdf_text observed=2026-08-06T14:37:18.997782Z digest=sha256:7dfc109ad0d6ddba76236543fd37d0acd7a9cd5ba05f4c28215826f483d26985

Observation 92d25331-a577-4e63-84df-bc2e5004c45a · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 5

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source=pdf_text observed=2026-08-06T14:37:19.007904Z digest=sha256:39a078ddd646191319529c00ddac10cb7aa15dc675654a7b4e0507e1fc749d4e

Observation a28afeac-96b8-4a3d-b7ae-f0db15a4bc71 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 6

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source=pdf_text observed=2026-08-06T14:37:19.016033Z digest=sha256:5df3c313883114e607d3fd169972368d7f63788b7247e0e12e9c14f7275fe90b

Observation 95769e10-fb61-4195-8ff9-d7c4f577d0bb · outbound

This paper cites Tensocial dimensionsofconversationsandrelationships.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Tensocial dimensionsofconversationsandrelationships

Reference 7

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source=pdf_text observed=2026-08-06T14:37:19.027039Z digest=sha256:e681c9600878566b61189760e012395ef7086d99a5f1e1f8b28e0035ea5c752b

Observation a855dbf3-1936-4255-8ffb-2b16a7239d31 · outbound

This paper cites Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

Reference 8

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source=pdf_text observed=2026-08-06T14:37:19.033109Z digest=sha256:52f883fe06a25e267fd02e0a586e8c36c03770bec9998f5d050f4759c2e664ea

Observation 7df927b7-b6e8-40ea-b6b2-e4cbc3ca62fd · outbound

This paper cites MM-IFEngine: Towards Multimodal Instruction Following.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law MM-IFEngine: Towards Multimodal Instruction Following

Reference 9

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source=pdf_text observed=2026-08-06T14:37:19.038128Z digest=sha256:eb1bcd85e8e183a284c571bc627bb171fab6018f3add9e04707b229a2d776305

Observation 44939cc4-f5be-443c-ab60-5967aa5713e8 · outbound

This paper cites Rethinkingbottlenecksinsafetyfine-tuningofvision languagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Rethinkingbottlenecksinsafetyfine-tuningofvision languagemodels

Reference 10

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source=pdf_text observed=2026-08-06T14:37:19.046224Z digest=sha256:e22da2f1b6979ef13c4d81c59f6ff77a22067533b987560388040e435fb8cc5d

Observation b121ac60-e2cc-4638-8084-873d122e4e80 · outbound

This paper cites Emergent Response Planning in LLMs.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Emergent Response Planning in LLMs

Reference 11

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source=pdf_text observed=2026-08-06T14:37:19.053536Z digest=sha256:e7be84ad01fe7607a1ebed225b1ae45929886f9fcb2fb052c57ee2897d432f50

Observation 1786d7bb-51c9-4630-aa93-52ef0bd1c9b1 · outbound

This paper cites Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey

Reference 12

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source=pdf_text observed=2026-08-06T14:37:19.061499Z digest=sha256:803b500029a961577ff344b70bcd4d49cf863d215c7ca99860381438aaadbfd4

Observation bed636aa-eb08-4651-b219-5d66fe3ad340 · outbound

This paper cites Areal: Alarge-scaleasynchronous reinforcementlearningsystemforlanguagereasoning,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Areal: Alarge-scaleasynchronous reinforcementlearningsystemforlanguagereasoning,2025

Reference 13

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source=pdf_text observed=2026-08-06T14:37:19.072700Z digest=sha256:a00a86c97fc461fbb146ebf60ee2fa8585364a677720015a3f7dd57772e4708b

Observation 6d757932-4ff4-4177-83f6-589dc79e3d49 · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 14

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source=pdf_text observed=2026-08-06T14:37:19.094739Z digest=sha256:2739bc45f5a57d3c64217d7ee82b69f2b6cb0e161fc9c52cb932f8b3d5c45ccb

Observation 3a61089b-fe39-4cd6-b94f-eaeb9ca22457 · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 15

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source=pdf_text observed=2026-08-06T14:37:19.114061Z digest=sha256:dad05860441f4d42d17cac7136d90263444af7e28b577352e9e96cbf7fb7e987

Observation d489acd7-2d0b-49d0-9da4-ace4308af32a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-08-06T14:37:19.127731Z digest=sha256:0bc70edce7ac89670d497925c146193b516c04351371d8b93f31ec180b9d2024

Observation d21200ae-bd5e-42c5-b54f-a360260412a6 · outbound

This paper cites Wildguard: Openone-stopmoderationtoolsforsafetyrisks,jailbreaks, andrefusalsofLLMs.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Wildguard: Openone-stopmoderationtoolsforsafetyrisks,jailbreaks, andrefusalsofLLMs

Reference 17

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source=pdf_text observed=2026-08-06T14:37:19.135715Z digest=sha256:2067d1b5403f92e48ae80265e6803fb3a19bbeffc50099dcead777b8c13f9183

Observation 5c62a976-9bed-4d1b-ae55-39569c8d6fcd · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 18

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source=pdf_text observed=2026-08-06T14:37:19.141103Z digest=sha256:4386f1c41dfeec2823f2eb056147e1e2aff99b4d6dfbc9cb7e3be34770c30f2f

Observation 9ced33e2-7b96-4b2b-ae17-c40328ef2a17 · outbound

This paper cites Rethinking with Retrieval: Faithful Large Language Model Inference.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 19

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source=pdf_text observed=2026-08-06T14:37:19.145574Z digest=sha256:deb0ad1d66390f43b5cca7cc9f688d04f10ab365e724a4472ec858e4f95c09e4

Observation c19413c5-3bf5-4dc3-a7e2-87ce2945554a · outbound

This paper cites Aligningaiwithsharedhumanvalues.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Aligningaiwithsharedhumanvalues

Reference 20

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source=pdf_text observed=2026-08-06T14:37:19.150005Z digest=sha256:851aa820cf7f13911a1bdf719788110b49bb3f949749608be578842f53deedbe

Observation 0e692892-61fc-4f9d-abdc-d65ba2e78b7f · outbound

This paper cites Constructinga multi-hopQAdatasetforcomprehensiveevaluationofreasoningsteps.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Constructinga multi-hopQAdatasetforcomprehensiveevaluationofreasoningsteps

Reference 21

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source=pdf_text observed=2026-08-06T14:37:19.154560Z digest=sha256:fd1d2f3a23252d5e3299a505585af6d4f3ecc4502642abdd594988ed9d6d284c

Observation 1fc13f29-1278-4a65-a3cf-2d4543b45fa1 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 22

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source=pdf_text observed=2026-08-06T14:37:19.159431Z digest=sha256:90b5e4ba40d369191f238ecd941c292efb7de3f39055b550eee0b971ec40baa7

Observation eca19066-b99d-4015-8c65-bdb044da12c8 · outbound

This paper cites Flames: Benchmarking Value Alignment of LLMs in Chinese.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Flames: Benchmarking Value Alignment of LLMs in Chinese

Reference 23

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source=pdf_text observed=2026-08-06T14:37:19.163901Z digest=sha256:7215f6f6b70d9dfdef0e32e54d0b0597eabe1ca1b3fd204a4ff3899be8b0d638

Observation c50e4869-965b-422e-bf54-526f409381ff · outbound

This paper cites Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable

Reference 24

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source=pdf_text observed=2026-08-06T14:37:19.168529Z digest=sha256:073c47e770ae34d3d47c20093a6ca09607f94523d984f82ae4573e04f59de52d

Observation ea09f5e1-7f5d-4282-ba48-6a5389c98710 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 25

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source=pdf_text observed=2026-08-06T14:37:19.173063Z digest=sha256:0646017bf753ad5c3fb9ad9f1f1a44d6c27f78b69a1e0a0b948955988fa22d15

Observation 8ccee5c1-cb35-4416-a4ab-5a3e06f8de7d · outbound

This paper cites OpenAI o1 System Card.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law OpenAI o1 System Card

Reference 26

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source=pdf_text observed=2026-08-06T14:37:19.177955Z digest=sha256:250eaa40a6fe7968d528891d1b2bc8fb7ad32e21bba34c76d409edb8c37ac0a9

Observation f1885b8a-5d31-47af-9157-c2ccff287489 · outbound

This paper cites Moralbench: Moralevaluationofllms.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Moralbench: Moralevaluationofllms

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.182470Z digest=sha256:c9dd7c1e84857e5c3b5cd5a9b014ef62ded6757698a061d6aafca1b19fa2e335

Observation b251effc-877e-4481-8464-055748701496 · outbound

This paper cites RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking

Reference 28

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source=pdf_text observed=2026-08-06T14:37:19.186707Z digest=sha256:f2665d313e64ebaedbab5483ed832d1b4c997870fe6cc841f01d3a9a8f6c70c2

Observation e36324b4-f6ff-4989-b0a3-de9d1e8c1fc3 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 29

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source=pdf_text observed=2026-08-06T14:37:19.191149Z digest=sha256:1ced71f0c0efaa3db8654fbca72d3bf1c149ddffd09779b5be5c9be46b4b26df

Observation 069b188c-4146-459a-acd2-30888ebee44c · outbound

This paper cites Whencanllmsactually correcttheirownmistakes? acriticalsurveyofself-correctionofllms.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Whencanllmsactually correcttheirownmistakes? acriticalsurveyofself-correctionofllms

Reference 30

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raw_fallback, observed 2026-08-06T14:37:25.305978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.196849Z digest=sha256:e5ee0ef408aed3da6469108fedace31290928d1f5d204ef9a6e1aa7c127304c2

Observation 5ed17549-dae4-4519-9df4-afd5707d11bd · outbound

This paper cites Vl-rewardbench: Achallenging benchmarkforvision-languagegenerativerewardmodels,2024.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Vl-rewardbench: Achallenging benchmarkforvision-languagegenerativerewardmodels,2024

Reference 31

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raw_fallback, observed 2026-08-06T14:37:25.266074Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.201185Z digest=sha256:442fd3642c4e355630c352607bd1e1ca67ff8ec5a63724ddc0500c0434e07dcf

Observation 4f410e6b-02f2-49bd-9601-a4c6b2a48af8 · outbound

This paper cites SALAD-bench: Ahierarchicalandcomprehensivesafetybenchmarkforlargelanguage models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law SALAD-bench: Ahierarchicalandcomprehensivesafetybenchmarkforlargelanguage models

Reference 32

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.206950Z digest=sha256:e8add59feffe36cf3a5fc5d17c1c31156a40fcf25887bf06cc43059f500c5bf6

Observation 0a56b148-4bcc-4ef3-b2d4-fb9358c2d249 · outbound

This paper cites T2isafety: Benchmarkforassessingfairness,toxicity,andprivacyinimagegeneration.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law T2isafety: Benchmarkforassessingfairness,toxicity,andprivacyinimagegeneration

Reference 33

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raw_fallback, observed 2026-08-06T14:37:25.229033Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.216662Z digest=sha256:9329752a64fd7c473aa59c3485e7aa5617c189441a3d058486b986eea83c1772

Observation bb3dedc3-eb33-4f11-94a7-a70669150b28 · outbound

This paper cites More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Reference 34

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source=pdf_text observed=2026-08-06T14:37:19.222997Z digest=sha256:859f5fe0e957abb3fbb8290f80d74b5fce1a6f9423bf8a4b0492edaa21c0e09e

Observation 4006dd7a-151a-436f-8338-b2b5a790df55 · outbound

This paper cites Thechinesedatasetdistilledfromdeepseek-r1-671b.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Thechinesedatasetdistilledfromdeepseek-r1-671b

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:25.194738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.229530Z digest=sha256:83cc1ea839a443918a14652e38bd565f89bd50d564b4eb1125d7a0504926a18c

Observation 1bb9a16b-9643-4ed7-8f8d-dd0894eec232 · outbound

This paper cites Mm-safetybench: A benchmarkforsafetyevaluationofmultimodallargelanguagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Mm-safetybench: A benchmarkforsafetyevaluationofmultimodallargelanguagemodels

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:25.174462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.235082Z digest=sha256:19ebf16741d8a55f7a12e3a005b95a93d4a4c53963817a0deb9f4e08ee76523e

Observation a91993b5-362a-4d00-85be-af49f5cb9aae · outbound

This paper cites Inference-timelanguage modelalignmentviaintegratedvalueguidance.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Inference-timelanguage modelalignmentviaintegratedvalueguidance

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:25.156098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.242998Z digest=sha256:2fce85d46f852dfba3718cbf563177be02eca351cac3f89daa5db981e8c0f922

Observation 8448f995-b58c-4283-9f93-9b853126b25e · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Understanding R1-Zero-Like Training: A Critical Perspective

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.247371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.247371Z digest=sha256:dfdbf949e460069046853391a22627737e0ad22a3e624ae9e145b71d7cd28bed

Observation 67ea0d4b-d411-4eca-9e66-9a754f06b37a · outbound

This paper cites CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models

Reference 39

Resolution
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no resolver link, observed 2026-08-06T14:37:19.252096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.252096Z digest=sha256:9d95ad697e8773a5bf6d85a82ae577a05bca6a0ae4175887fb1673341f062ff1

Observation d4c20061-39cc-43e1-86ec-8bfa97ee3fae · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.256406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.256406Z digest=sha256:56674f4f14588811f374bf44f63de67251df91a4aa32c12d809b74f4f6e0ad6a

Observation 93631d9c-d201-4d1c-8be9-bd341bce840e · outbound

This paper cites X-boundary: Establishingexactsafety boundarytoshieldllmsfrommulti-turnjailbreakswithoutcompromisingusability.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law X-boundary: Establishingexactsafety boundarytoshieldllmsfrommulti-turnjailbreakswithoutcompromisingusability

Reference 41

Resolution
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no resolver link, observed 2026-08-06T14:37:19.261110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.261110Z digest=sha256:2501fdfbc2bb9efe388911985d35078ffa1dc81a81b2a68870fb19be87ad00d7

Observation 0a5da4ac-339d-4944-9911-399477d5af9d · outbound

This paper cites Jailbreakv-28k: A benchmarkforassessingtherobustnessofmultimodallargelanguagemodelsagainstjailbreak attacks,2024.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Jailbreakv-28k: A benchmarkforassessingtherobustnessofmultimodallargelanguagemodelsagainstjailbreak attacks,2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:25.063529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.266435Z digest=sha256:404e42d284d866abeb7094d44623cd4e1989484df6202611ea6d239d86a5d0c3

Observation db925682-3266-4893-9bb8-42e513d355bd · outbound

This paper cites Reasoningaboutuncertainty: Doreasoningmodelsknowwhentheydon’tknow?,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Reasoningaboutuncertainty: Doreasoningmodelsknowwhentheydon’tknow?,2025

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:25.027823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.270984Z digest=sha256:1f9dffe0c93b554cfcb07e4a39b314820b5fe25823adc3d78d0ba14f31347abc

Observation 126d05fc-153e-4a05-8a7d-989dc2ebb344 · outbound

This paper cites Controlleddecodingfrom languagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Controlleddecodingfrom languagemodels

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.997313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.275994Z digest=sha256:370fc4ffbe05c9352339ae760e804838616d51559eea36037e6b119ca9805976

Observation 20069732-073d-48c4-aa21-900fddc669bc · outbound

This paper cites Ano(nd)differencealgorithmanditsvariations.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Ano(nd)differencealgorithmanditsvariations

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.971803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.295684Z digest=sha256:c1ede73d3101246144c80fc05d69b648091f71ac3c15abe5e8530bf4414e5360

Observation 8fdaed9c-3a14-468e-9c67-09de3873d2b9 · outbound

This paper cites Safe policiesforreinforcementlearningviaprimal-dualmethods.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Safe policiesforreinforcementlearningviaprimal-dualmethods

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.910964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.338388Z digest=sha256:0e7b53b891e3abc3d700ca14fbb261e452a4adc61cf017616895a7b4feef8400

Observation a5ea8639-17e6-4a71-8831-9f44ccece170 · outbound

This paper cites Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.346785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.346785Z digest=sha256:aa09b7316a31769894e0deaa03ce313345e7c2915f6ba502ace4499e913bebbd

Observation 1651f689-e43b-416e-88a5-1ecbfcf19a73 · outbound

This paper cites Asurveyofefficientreasoningforlargereasoningmodels: Language,multimodality,andbeyond.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Asurveyofefficientreasoningforlargereasoningmodels: Language,multimodality,andbeyond

Reference 48

Resolution
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no resolver link, observed 2026-08-06T14:37:19.353092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.353092Z digest=sha256:6a847e07c8c28fb6dfa907c00ce9a2bb447abeb96ba6c160bdcb8ad296eb253e

Observation de2d6105-4cd0-4891-81d7-83cdb6a73d7c · outbound

This paper cites X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.404740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.404740Z digest=sha256:8a4c47b53fe2981466f099de13128634d8ef888adb0cf5ae11b17696eb6ba659

Observation 4dc3f415-07b2-4007-95ec-bcbc2f2ac67e · outbound

This paper cites Gpqa: Agraduate-levelgoogle-proofq&a benchmark.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Gpqa: Agraduate-levelgoogle-proofq&a benchmark

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.872217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.421450Z digest=sha256:736517503c3bb0e2b9422172cdc562e6032516ee5299cecfefbea309aa7deb15

Observation 31479709-6d8c-4c15-b30a-fd05fe8c72b8 · outbound

This paper cites Llmsknowtheirvulnerabilities: Uncoversafetygapsthroughnatural distributionshifts.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Llmsknowtheirvulnerabilities: Uncoversafetygapsthroughnatural distributionshifts

Reference 51

Resolution
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no resolver link, observed 2026-08-06T14:37:19.428115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.428115Z digest=sha256:1854163ef9e9c7436bf5ab42dcca8943e2f541db767d27b7276766d96db2f170

Observation df9436d6-8106-4d82-aa3f-340498da4229 · outbound

This paper cites XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Reference 52

Resolution
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no resolver link, observed 2026-08-06T14:37:19.436595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.436595Z digest=sha256:2b3f8f943c82ae5dfdb3b34cf40ad2b02d265d2441aee315beb0637b5095c61e

Observation 55fb0989-9c54-4028-8526-a11e9d7d45ab · outbound

This paper cites Evaluatingthemoralbeliefsencodedin llms.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Evaluatingthemoralbeliefsencodedin llms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.845973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.441099Z digest=sha256:1943d6a0f5b37eb031fa2b96a498a9e8c2f689736c518c9f0152e284c8f1dc9c

Observation 185bbd59-95b3-4404-ab5e-c8bb3e3df76b · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law HybridFlow: A Flexible and Efficient RLHF Framework

Reference 54

Resolution
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no resolver link, observed 2026-08-06T14:37:19.445412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.445412Z digest=sha256:1e90365482244e280346afd4a78f47f3d31892c6c678f5ca1c1a999d9499886f

Observation 19323d27-54d1-43c1-b620-40efa875ae85 · outbound

This paper cites Assessmentofmultimodallargelanguagemodelsin alignmentwithhumanvalues,2024.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Assessmentofmultimodallargelanguagemodelsin alignmentwithhumanvalues,2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.785802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.449670Z digest=sha256:fcd1f33df8d1e813582a5b0b762f952ce06262b18df1a8ed21885fbb9bf97c99

Observation c92f2e52-01c0-40c9-a0f1-d345136765c8 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.453561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.453561Z digest=sha256:9e8ccdb49694bf8251a06a7ffcab8c3b89ac7006eaa47ce41c5897d56e283c1f

Observation 755ccb8b-4b8a-48af-86f8-3194ee5a22b2 · outbound

This paper cites Astatisticalinterpretationoftermspecificityanditsapplicationinretrieval.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Astatisticalinterpretationoftermspecificityanditsapplicationinretrieval

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.763905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.457819Z digest=sha256:c112f7f38fb3b47b03186b128d27f07d36be32b4fd21944e2f4841b0f5653722

Observation 6949e637-fc14-4027-8401-8b574820b81c · outbound

This paper cites Judgebench: Abenchmarkforevaluatingllm-based judges,2024.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Judgebench: Abenchmarkforevaluatingllm-based judges,2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.706935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.462784Z digest=sha256:46fb48999090682dffe7ec4dcd6cbdff9168f1bdefdb4868ba4b0d91bdc96183

Observation f169b135-52c0-4f30-8381-122082f9688a · outbound

This paper cites Notallcorrectanswersareequal: Whyyourdistillationsourcematters,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Notallcorrectanswersareequal: Whyyourdistillationsourcematters,2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.673649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.468336Z digest=sha256:d0a5c03e2f4a29f0df1eb93ff221b5a0dffb59b9280563dd72eb3f0595c9e29e

Observation 05f9e515-b38b-480a-b0dd-c30003ef91dd · outbound

This paper cites Musique: Multihopquestionsviasingle-hopquestioncomposition.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Musique: Multihopquestionsviasingle-hopquestioncomposition

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.632089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.472495Z digest=sha256:c6225a5558e31c71554d9d5f63ce7e1cdd13b76cd3ff478bd5d3838507271709

Observation f3c296d3-290b-4809-9422-5c9e6715ac8a · outbound

This paper cites Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.480378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.480378Z digest=sha256:a089c00f20e5b11d002459b438da174532ea3bde47921450d993704910d9d71d

Observation 98385709-f5a1-47da-8d2a-69ffe6b03a1f · outbound

This paper cites Jailbroken: Howdoesllmsafetytraining fail? Advances in Neural Information Processing Systems,36:80079–80110,2023.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Jailbroken: Howdoesllmsafetytraining fail? Advances in Neural Information Processing Systems,36:80079–80110,2023

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.603582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.485838Z digest=sha256:73d08974fa6a680d439a29134cffb1631775302b0863a2649bde04e973f5ae4b

Observation bf746eee-f06c-41a1-8684-9116719c6a80 · outbound

This paper cites Chain-of-thoughtpromptingelicitsreasoninginlargelanguagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Chain-of-thoughtpromptingelicitsreasoninginlargelanguagemodels

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.564558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.492381Z digest=sha256:a0ccbcabf9a178db1826e680a8f9607158af7cfd85a817ca27ff07db2550e917

Observation 8ec6924f-0019-420d-84fd-60ef250ecee4 · outbound

This paper cites Mimo: Unlockingthereasoningpotentialoflanguagemodel–from pretrainingtoposttraining,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Mimo: Unlockingthereasoningpotentialoflanguagemodel–from pretrainingtoposttraining,2025

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.494753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.497444Z digest=sha256:e98413f24f7f0d8f8d04af11a73ee6a0e5eb9f9d0c0a3470f18ac6842b85f0f7

Observation b54f7d1b-4216-4d06-a2e8-a4f2c057a4ae · outbound

This paper cites Cvalues: Measuringthe valuesofchineselargelanguagemodelsfromsafetytoresponsibility,2023.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Cvalues: Measuringthe valuesofchineselargelanguagemodelsfromsafetytoresponsibility,2023

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.421712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.504668Z digest=sha256:d6c3ae76ae31fef6c09596c335890f477f8c2faca5d062097526579029df892c

Observation f66aede8-4e66-4a7d-905d-569da437ed35 · outbound

This paper cites MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models

Reference 66

Resolution
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no resolver link, observed 2026-08-06T14:37:19.511149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.511149Z digest=sha256:fbca133a980f3b3550f554a72c8a643393eaaac4a7455b25f5e7fc8c11d61748

Observation f8a91095-f19d-4741-9bb8-29c498bcb447 · outbound

This paper cites Towardsai-45 ◦law: Aroadmapto trustworthyagi.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Towardsai-45 ◦law: Aroadmapto trustworthyagi

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.326024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.518311Z digest=sha256:4b85e498464cdc14586cc98ae516c120d6bcbd420a473516b6fba971e26064a6

Observation 567b353b-a197-4453-b5a9-1de84677abfc · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.522772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.522772Z digest=sha256:b544124f0fc8de120e2080be98e8108850cad5d7492c345e864da1de2603159e

Observation 010d5fae-dee3-4c1e-9938-87e6fb01b7ba · outbound

This paper cites The Alignment Trap: Complexity Barriers.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law The Alignment Trap: Complexity Barriers

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:37:20.488895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.527699Z digest=sha256:07f340071b0b5dd0e2b1a92635ce26279f7d5a622af3006c96b577bd1c195226

Observation e8941d9e-6a8b-4ece-82c3-3e9d5cf8461c · outbound

This paper cites Omnibal: Towardsfastinstruction-tuningforvision-languagemodelsviaomniverse computationbalance.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Omnibal: Towardsfastinstruction-tuningforvision-languagemodelsviaomniverse computationbalance

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.224745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.532432Z digest=sha256:ead0b7ccba56eeced49a1af299272fe04bb05c0fa7fdd42fd635627f824ab1dd

Observation 9cce3c40-41bc-4898-8ec4-0d816116fcab · outbound

This paper cites Hierarchicalbalancepacking: Towardsefficientsupervised fine-tuningforlong-contextllm,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Hierarchicalbalancepacking: Towardsefficientsupervised fine-tuningforlong-contextllm,2025

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:24.115281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.537636Z digest=sha256:5dae35f6e48ab598078941ac30e22bc4fa8a891fa9f341f1e38cc54690d438b3

Observation 8c44e399-fccd-4437-8315-03a40fafb11d · outbound

This paper cites Deepspeed-chat: Easy,fastandaffordablerlhftrainingof chatgpt-likemodelsatallscales,2023.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Deepspeed-chat: Easy,fastandaffordablerlhftrainingof chatgpt-likemodelsatallscales,2023

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.953165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.542054Z digest=sha256:b38a8b23ac49b06da14aa0a93d765121ede86a64883efeaf1e564ac4844aa32e

Observation ff4e2b1e-947a-4af9-b762-dd0d9dc4c223 · outbound

This paper cites Multimodalrewardbench: Holisticevaluationofrewardmodelsforvisionlanguagemodels,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Multimodalrewardbench: Holisticevaluationofrewardmodelsforvisionlanguagemodels,2025

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.857913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.547567Z digest=sha256:24d772290904da8fefab401827e2ed8fb48bbfb6241049dd27569d8d036d299c

Observation d999c314-9c39-412d-a88e-ed884d663583 · outbound

This paper cites Dapo: An open-sourcellmreinforcementlearningsystematscale,2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Dapo: An open-sourcellmreinforcementlearningsystematscale,2025

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.762272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.552582Z digest=sha256:2689d1be3ead9515487e4f1f85dfdb7114ba2c69ac9dc0a8d8dc34e1ed525367

Observation 0d88267e-3df0-48db-a724-aaa7d6b63f7c · outbound

This paper cites MMMU:Amassivemulti-disciplinemultimodal understandingandreasoningbenchmarkforexpertagi.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law MMMU:Amassivemulti-disciplinemultimodal understandingandreasoningbenchmarkforexpertagi

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.704802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.560719Z digest=sha256:cd41addc2c3fc295616751cc3109f87746d4ae78c40f12fac15ca5b8d80e61fe

Observation dd6468e9-c53d-49ec-a208-df3dfba823dc · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.566771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.566771Z digest=sha256:7bcecac7e964c65320bc2dfd73e55fcb17bd74e4f7e379258be29527336b5ed0

Observation 9fc21db0-3ea1-4847-ab37-aa5e108b0cb8 · outbound

This paper cites Gaia: Aglobal,multi-modal,multi-scalevision-languagedatasetforremotesensingimageanalysis.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Gaia: Aglobal,multi-modal,multi-scalevision-languagedatasetforremotesensingimageanalysis

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.571469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.571469Z digest=sha256:ec9d089607eb4c3f7c6e79ed9b80d180316fac681c78d9e450b550dbb313c02a

Observation 9bf62d37-bacf-46c9-9528-1e292c4f2fe2 · outbound

This paper cites GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.575834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.575834Z digest=sha256:74b5f113446e210bb5b4df4cadaf3523e88ad3044dad7b2905068782ee5ef13a

Observation 47763068-2314-4923-b065-1994b3bc10c1 · outbound

This paper cites Explainabilityforlargelanguagemodels: Asurvey.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Explainabilityforlargelanguagemodels: Asurvey

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.617331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.594762Z digest=sha256:080a9d63999b394a6d8674c372bfc54a9a8de8eff9bb7c7d36c06446c92ad807

Observation e7667d3c-c0e8-4ba2-9f66-3d17de589bb4 · outbound

This paper cites Sglang: Efficientexecutionofstructuredlanguagemodelprograms,2024.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Sglang: Efficientexecutionofstructuredlanguagemodelprograms,2024

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.572663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.607399Z digest=sha256:692254333199c48d91da4a6366e87b1d9d8d72f21bb5272e0d269e8d416850d2

Observation cfcbd294-772b-4809-a627-cea278fce9be · outbound

This paper cites Streamrl: Scalable,heterogeneous,andelasticrlforllmswithdisaggregatedstreamgeneration, 2025.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Streamrl: Scalable,heterogeneous,andelasticrlforllmswithdisaggregatedstreamgeneration, 2025

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.491800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.631716Z digest=sha256:030f3333b94e26d72c41c0619d73d0890b3a67f34d60c94ecaf14312bafd6e1b

Observation 49bfd11e-72bd-4149-b511-dca2c5cda3f0 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Instruction-Following Evaluation for Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.675213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.675213Z digest=sha256:5223b14b08aea4e650c4d6898b55141d1a17f64d6eaa3c839f32663f3d287e11

Observation bde0e658-1def-4854-8835-15d908ee292a · outbound

This paper cites Multimodal Situational Safety.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Multimodal Situational Safety

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.704746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.704746Z digest=sha256:02e5000aad12e89e27094e8221e2ce53d2067c5cb4cdca55519d6d1b8f146640

Observation f4434d3a-eca2-48b8-aaa3-02a43ae00108 · outbound

This paper cites Weak-to-strong search: Alignlargelanguagemodelsviasearchingoversmalllanguagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Weak-to-strong search: Alignlargelanguagemodelsviasearchingoversmalllanguagemodels

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.417351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.737376Z digest=sha256:1f0d76be4e2a4adc197c1f3182b80ac97400f20757d7622c699d2e50af0602a3

Observation bb102302-8d7b-4017-b9de-edae00d31d06 · outbound

This paper cites GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:37:19.857208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.754746Z digest=sha256:8be1718d2e1660d7924c6ad8871f43d459e2677e6ffdd7d479989c478d194813

Observation 3f46b593-cdaf-49a9-aad1-c359613cd83e · outbound

This paper cites Safety fine-tuningat(almost)nocost: Abaselineforvisionlargelanguagemodels.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Safety fine-tuningat(almost)nocost: Abaselineforvisionlargelanguagemodels

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:37:23.306080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:37:19.775024Z digest=sha256:1404a9d4c344a332a3b310a65c3e331402b501a3120e63cc9e597141496a930a

Pith citing papers

Observation 4abfd7fe-5cb2-482c-9ca5-042db629d440 · inbound

SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond cites this paper.

SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:01:25.610609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T18:00:10.534346Z digest=sha256:2d345c451428a117601e9274fef748c11eedffd285d1d7dddc432c98439406e9

Observation 997ccac7-8a02-4cac-8459-74b3e02b510c · inbound

Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration cites this paper.

Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:52.012574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T19:41:00.530274Z digest=sha256:31e40c986fbfa2bae96b37b7a56c0740949145dabdc690079801ba4bc88291a0

Observation f79dac7d-2bab-4b7e-829a-2e38944d53e4 · inbound

Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment cites this paper.

Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:07.551130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T17:24:54.796037Z digest=sha256:3ff1abb32c4c73c5f8f50f337a874c5abe81666a7b7636aa8736995e0b632216

Observation 2af52fbd-8fe1-4e5e-a31b-c1acd19042ce · inbound

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning cites this paper.

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:04:21.413639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:01:20.803078Z digest=sha256:63f2353c91dc9bab2eb533ec6818edbd6ab02a01d4c62815ed1ef8ceb96d5041

Observation 5197de4c-e4cf-4f38-bfaa-04841ea201a2 · inbound

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators cites this paper.

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:28:33.635352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T15:23:48.748933Z digest=sha256:c18c92f9f19e57ca0740d3491086cb0bd6981701ffcee085d9c143291a75da83

Observation 34def933-9562-4343-859e-b6b38b16463d · inbound

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators cites this paper.

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:28:33.373544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T15:23:48.748933Z digest=sha256:56343e420feaa73fb3337cc5eaca4190f7ff8a410a99c4df47e08ade1b81e867

Observation ca17c6d0-acac-4bae-81d0-3f8c83fd01ac · inbound

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning cites this paper.

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:10.926476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:10.926476Z digest=sha256:d7ac087c3ba6ff59a14af151d05f6e143e252b45f0b14a6f8b85f60c1b9fc3c5