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Paper Citation Record · LEDGER

Safety in Large Reasoning Models: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2504.17704.

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

pith.paper-citation-record.v1
2504.17704 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:10.981064Z

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

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec2decda-44df-4610-84e2-d35b191b712e · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Safety in Large Reasoning Models: A Survey

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:11:57.987032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T19:10:55.009810Z digest=sha256:47d48d9aa164981c748e0db1579ebf7c6031815da9389bc8b393a95346e90db7

Observation 9f01816e-fd69-4c38-a806-a699df400b22 · inbound

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework cites this paper.

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework Safety in Large Reasoning Models: A Survey

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:10.981064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:10.981064Z digest=sha256:49abc9a1bc793ce8514ddd0cf6425096e9729008a90ba37cc97355793fef9fc6

Observation cd40c532-af5d-4742-ad30-1ddb0e71200c · 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 Safety in Large Reasoning Models: A Survey

Reference 5

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no resolver link, observed 2026-08-07T14:13:49.771889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:49.771889Z digest=sha256:a751dd22286edcc664035fe74a8e7f880b6e6af1682a42f913c2b2c963560ed2

Observation a80fabca-9bde-4030-9093-a4157f3c9600 · inbound

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 cites this paper.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 Safety in Large Reasoning Models: A Survey

Reference 25

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unresolved
no resolver link, observed 2026-08-07T00:57:13.771631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:13.771631Z digest=sha256:bd5b4bbd77d708f93a297d74c9ca9dddc830936dbe1fd56f286b5a9a932a6434

Observation 4ec67418-7368-4711-ae4c-87b048c4808a · inbound

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Safety in Large Reasoning Models: A Survey

Reference 19

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no resolver link, observed 2026-08-06T21:11:18.251385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.251385Z digest=sha256:8552ba216d6065baef08b94ce9a61f9655b4fb6b43caff14ee6d695febfad2c3

Observation c2fb6f89-a64b-4de4-8f05-950781929a9e · inbound

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

Does More Inference-Time Compute Really Help Robustness? Safety in Large Reasoning Models: A Survey

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T15:26:21.358800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:26:21.358800Z digest=sha256:8c1ff5ece6f4b07e211defe9391ed9fa20df5026f31fbab7fd842dad5ec62936

Observation cb51eac4-6cb8-4d04-80be-8e44a7cef9d8 · inbound

The Emotional Baby Is Truly Deadly: Does your Multimodal Large Reasoning Model Have Emotional Flattery towards Humans? cites this paper.

The Emotional Baby Is Truly Deadly: Does your Multimodal Large Reasoning Model Have Emotional Flattery towards Humans? Safety in Large Reasoning Models: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T00:59:41.938259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:59:41.938259Z digest=sha256:f6dd8d1a80e75de4d3b60653c072f771955ccd90d73a27c23a6e11be28b9e91b

Observation 3ad79d1a-3851-49ac-86ce-bf4c87be6a6e · 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 Safety in Large Reasoning Models: A Survey

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:02:54.938124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T01:02:07.088724Z digest=sha256:85d3538bdae257acd1787f84ef910ea9e494ae29ee040b5a13d5414b6a063361

Observation e7308aa5-db82-4b9c-8e55-a541a0873104 · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection Safety in Large Reasoning Models: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T22:24:23.351363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:24:23.351363Z digest=sha256:3a9f9fa5a627b0e0ec4e250c2c2e9c880e6bc665b2af31557c0d807704d81374

Observation dcc1b116-0f1d-4cc6-9788-e4250e40eb2a · inbound

When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models cites this paper.

When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models Safety in Large Reasoning Models: A Survey

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:05:55.672157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:02:52.176629Z digest=sha256:26c39ea3a930583c9425281e3d7fc3f3a7490b166fab6066e6b261a1a2540b55

Observation 522417f4-1a78-4044-a568-0fd3d45fca66 · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models Safety in Large Reasoning Models: A Survey

Reference 50

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unresolved
no resolver link, observed 2026-08-02T20:14:04.132863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:04.132863Z digest=sha256:1c3000f7039b74ba8b4482731c1a31b86a5f63146b58013b8ccd2425025f9a4e

Observation 060770a7-9101-4996-9358-b12c61a49532 · inbound

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety cites this paper.

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety Safety in Large Reasoning Models: A Survey

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-15T13:17:48.274611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:17:48.274611Z digest=sha256:0edf86d5d18743055f858c5b26c0fcb378ce23e7cc553beda5b10af6a624c8c7

Observation 975272f2-bc84-4b63-bf2a-e258ecb6aca2 · inbound

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models cites this paper.

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models Safety in Large Reasoning Models: A Survey

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:48:24.906392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T00:45:43.705160Z digest=sha256:1d0616901f665681ed2cd1aae3904898387cb3c8a8ffc9595c949000325bdc0e

Observation fccb413b-75e1-4a2b-a9c9-a8e50611f09a · inbound

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection cites this paper.

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection Safety in Large Reasoning Models: A Survey

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:00.379274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:54:24.013408Z digest=sha256:cf80d816ee7a3cef5ff3691bd81e3aa19fbda7ef7c949c1e0fe05829426c845d

Observation 383970bc-d957-465a-a7c2-d419f55918ee · inbound

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing cites this paper.

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing Safety in Large Reasoning Models: A Survey

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:08:26.225748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:24:43.494005Z digest=sha256:1b393e4d20e4aaa567e2d7e97af7407c40b5ad023f22118d67f423efb7529bdf

Observation 24a3568e-18dc-4507-aa29-21410f722811 · inbound

Jailbreaking Frontier Foundation Models Through Intention Deception cites this paper.

Jailbreaking Frontier Foundation Models Through Intention Deception Safety in Large Reasoning Models: A Survey

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:11:14.051370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:17:51.039062Z digest=sha256:63feeaff10ca44b91ab991dda62361cf0764b71ac78b74b78b03b80a4c8fd8ff

Observation cf3b9459-2add-4fe8-90e3-283ec66913e0 · inbound

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Safety in Large Reasoning Models: A Survey

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:11:23.720034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T04:32:16.930291Z digest=sha256:29273123126ff652b23e3bd6771ace043f96dd22c2924f16f4796ce844173d5f

Observation e61e34aa-834a-4a49-ba36-142d27f82b0b · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Safety in Large Reasoning Models: A Survey

Reference 49

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verified exact
arxiv_id, observed 2026-05-14T20:17:56.580263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:4f2ddfc30533808ba3336a77ed15f5fb04741ca185f0f2628933175579b0422b

Observation 61f9dc42-46b5-4970-9d3c-59bc007c3153 · inbound

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows cites this paper.

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows Safety in Large Reasoning Models: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T07:06:20.139263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:06:20.139263Z digest=sha256:d1fbe665d91ee1afec208bc8d8a16a226b5f62d2fe5c016f7619493ceec70aef