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Paper Citation Record · LEDGER

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.15092.

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

pith.paper-citation-record.v1
2503.15092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:19.811996Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:44.180777Z

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 3b27928a-a4bc-4299-ad92-2846cb9904c3 · inbound

VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models cites this paper.

VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:19.811996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:19.811996Z digest=sha256:f28f205dd867a5db541645db9f66542910264cbdaaa62496fcd6a3439b368e22

Observation f219fcbb-ed07-4833-b2bc-445470b2d623 · inbound

PRJ: Perception-Retrieval-Judgement for Generated Images cites this paper.

PRJ: Perception-Retrieval-Judgement for Generated Images Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:03.786191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:03.786191Z digest=sha256:8144fe41866466b1cce982c359db800fd71d763b5c7f43060bf34d032eb639a6

Observation 7bdd6410-b300-4cc1-8072-6c0c2ff74aa9 · inbound

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking cites this paper.

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:37:01.059438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-19T03:36:24.013477Z digest=sha256:952f308f1ec6c3d65f558940bfe5418943f478bda17fa1b13458a34c0a09964a

Observation 2ae816db-1f4e-48cd-a66a-b5bc49ffa739 · 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 Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T10:38:58.311706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:38:58.311706Z digest=sha256:1a287db97790c4ea595b46dd98bf0a206e93480955622c623d064fdaa65366ed

Observation 092c07a6-0209-4253-b96a-1ab344e9593d · inbound

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? cites this paper.

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T23:49:34.110574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:49:34.110574Z digest=sha256:deaa2a403c31b5b96abe28cee4ded4dfb23c5cb1343b7b8e6b7f12b1f0159bc6

Observation c3772ce9-a11c-4602-969f-2c4648a84159 · inbound

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents cites this paper.

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:16:06.596203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T08:14:51.102085Z digest=sha256:ec9670b7ddd05187fc7e183c90f11cbcba29ce1dae9dca52de6cf55b9b3ff66c

Observation 93f39f00-95d1-40a3-893c-5f8d6f2b6e30 · 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 Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:26.260075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T08:24:43.494005Z digest=sha256:edee934017dd287a1c66ec5cc9d004d58445da1f5f1ee3f80b10e2d0cdc5c30b

Observation 5d2084df-4408-4018-b8d1-bc4392eeb2c7 · inbound

Internalizing Safety Understanding in Large Reasoning Models via Verification cites this paper.

Internalizing Safety Understanding in Large Reasoning Models via Verification Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:51:14.314324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:50:59.283409Z digest=sha256:1642bf0c5c72497e632ebe870acab7b30d22a2e77d44296fd8608c7a4b7d083f

Observation 21a75125-37bb-4925-8ec7-32d919df9ad4 · inbound

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data cites this paper.

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:54:44.182291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T13:45:38.305767Z digest=sha256:7b82cbb2424734f1dbda70c427999dfbcb53ed18030ff79631cd2f8341f7c7ca