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Paper Citation Record · LEDGER

Safety Layers in Aligned Large Language Models: The Key to LLM Security

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2408.17003.

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

pith.paper-citation-record.v1
2408.17003 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.913982Z

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
  • metadata mismatch0

External citation measurements

2
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 c9d6c6d8-a600-496a-9fc6-c334deb18f87 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 86

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arxiv_id, observed 2026-05-23T20:58:26.349920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:8209f9d20a6cc6e462178ae77958c091190df650725c2ec22557284abaf4e131

Observation de58bf13-3873-4cbb-8fe1-c49c51efe537 · inbound

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit cites this paper.

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 21

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no resolver link, observed 2026-08-12T19:00:24.011689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:00:24.011689Z digest=sha256:7f729041fec94bdb968aa4c3fa3631c175f63cce655606261a2aa44be99f310f

Observation fb109021-5ddf-490e-a87a-03fe132a7804 · inbound

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors cites this paper.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.425547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.425547Z digest=sha256:383ababc22a7c5512d7ef1349e868ca43e48303e29f3a33d9b481c593fcc262b

Observation 4fb17518-3c4a-4b3e-9f8c-6a4a76fceaf7 · inbound

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective cites this paper.

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T18:15:32.881971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:15:32.881971Z digest=sha256:19579f9051193ec8bd4d593e252b2d03ccd31739cf7aa2c602742cc93e5bf72a

Observation 3d8041f8-1dac-40b8-b1df-e5b28aadaac6 · inbound

Towards Safer Chatbots: Automated Policy Compliance Evaluation of Custom GPTs cites this paper.

Towards Safer Chatbots: Automated Policy Compliance Evaluation of Custom GPTs Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T15:22:32.459148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:22:32.459148Z digest=sha256:8d02ed4faf26c884289f92c4d04afd11b4207fe9bb2b075a280bd324366dabdd

Observation 9a175d9f-deb9-4e8c-8ceb-07f6bee309d0 · inbound

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions cites this paper.

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T23:08:02.302336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:08:02.302336Z digest=sha256:2abe3c7ab7f864a370b9cee80ee1c38b0d90d877befd77471fdbd120ad5b7d0c

Observation 1c84bb02-f1dd-43f3-8647-5e0cbc20b401 · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 298

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:12.913982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:12.913982Z digest=sha256:e5926d4713981cf11e860f20dcc1bea7c558843e6c16f78c3b079ef0c5a89b69

Observation 59035618-0853-4614-9614-eab424ce1aee · inbound

Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization cites this paper.

Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 33

Resolution
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no resolver link, observed 2026-08-15T23:30:24.362624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:30:24.362624Z digest=sha256:a0e4130ae6e220c8c6a5e7691a90df795d7ea2e1e020b2a13f4ff90334e6d155

Observation 1d9d3cf5-292e-417d-addf-6855bbb2cd63 · inbound

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs cites this paper.

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 9

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unresolved
no resolver link, observed 2026-08-15T21:07:54.253022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:54.253022Z digest=sha256:e947266792e6b683d3a555b0913ed1e26e3c0c166d9db341ba555b41cd38bde1

Observation 7dd8fe59-9419-43ff-9ff5-03d46611f82f · inbound

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models cites this paper.

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:19.536862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:15:19.536862Z digest=sha256:e6b1b5fee29d3a64e410e11ef406c592062ba76ca0ca04a93dea1eda7eafeeb5

Observation 7cc02672-ba13-4cb4-8174-ab22e8cf3187 · inbound

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning cites this paper.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 12

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no resolver link, observed 2026-08-06T19:57:43.958573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:57:43.958573Z digest=sha256:5147409d05eb8d156bcd6a3563a10cd2fbe98a51766f50c769c2e77d477cc264

Observation 24787934-f6cc-4630-b1bd-907232ad4328 · inbound

Depth Gives a False Sense of Privacy: LLM Internal States Inversion cites this paper.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.656139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.656139Z digest=sha256:145579eec77f7eb28678569ecfcb89aaf722dbb7146a170149fb8e8b4755731b

Observation 584c895b-3c08-4de2-92b6-025324c04dff · inbound

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions cites this paper.

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T12:39:34.079317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:39:34.079317Z digest=sha256:bc67cf5305d17b08c5d805d8d6d879795a98f2896e293e86f05c1f8032601b28

Observation 69d67a9a-514b-438a-90db-0a0fd96c33e1 · inbound

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings cites this paper.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.098948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.098948Z digest=sha256:3ebcf5cd76ea6841338071507e3fd915d712338c6963224f2944884481df3e2d

Observation e084c66c-68b0-4f02-874b-7e9a41c635bd · inbound

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint cites this paper.

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 11

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no resolver link, observed 2026-08-04T23:10:21.170218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:10:21.170218Z digest=sha256:bc17c760c3b71eeebb496cb2d682da09afc26cb9b8cf026c3503de78f9861228

Observation 3b9e438f-ad96-431b-a1f4-ed0d470b50f6 · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:50:30.239698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T18:46:04.926179Z digest=sha256:20b062fd64e43048c0f9ad29dfd10f87e89bd817f159070f55676b7678fff689

Observation 1c1476a3-099a-4a33-9b61-d5606d6db2b1 · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T23:21:39.668021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:21:39.668021Z digest=sha256:19458788c751323300cce7cf3897269e912e31cd763a2263b7701cf9687e218d

Observation 3481c5ea-0f6b-4fd7-9030-6b18cc4775ad · inbound

A Lightweight Explainable Guardrail for Prompt Safety cites this paper.

A Lightweight Explainable Guardrail for Prompt Safety Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T11:47:49.345374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T11:46:14.226584Z digest=sha256:87070eb38416c91d7eed7fc0b6be87bdde9cb296ed218f881b83908429aed52d

Observation f77c2ff1-48ca-4d32-affb-ba58a833a3d3 · inbound

SALLIE: Generation-Free Hidden-State Detection of Jailbreaks and Prompt Injections Across Text and Vision cites this paper.

SALLIE: Generation-Free Hidden-State Detection of Jailbreaks and Prompt Injections Across Text and Vision Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:51.234243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:04:46.426969Z digest=sha256:3baf8ef6d7fc931c676a9ad77f218bc7cadbf4be84cbc855fad5174734202d21

Observation 139f1aa5-5823-4014-8e25-866da150b6a3 · inbound

Why Do Large Language Models Generate Harmful Content? cites this paper.

Why Do Large Language Models Generate Harmful Content? Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:21:04.499967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:31:13.545599Z digest=sha256:0ec01478f5ee54b1ac7748d67c4e185495febdc3ea6c001616982fc3b8a44dfe

Observation 1587fbe5-177a-4d03-94cf-e5ceb4ca1ca0 · inbound

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints cites this paper.

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T09:21:01.769674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T16:04:25.851592Z digest=sha256:cab33bc2adef935d2ae3ab7ac973d81a15d148524d19e2ca91d4805b9f5ae330

Observation d09d643a-6e56-4864-a8ff-6dafdace5ff8 · inbound

LLM Safety From Within: Detecting Harmful Content with Internal Representations cites this paper.

LLM Safety From Within: Detecting Harmful Content with Internal Representations Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:20:23.070753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T04:33:54.058475Z digest=sha256:2109c73a8ac06d772d3b2eebc746b9412e0421fd00a57662b9c121986ce0d1d1

Observation 754ebd1a-ce5c-4832-a16a-f49f72bf005a · inbound

Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs cites this paper.

Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:07:26.976711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-13T07:06:46.387088Z digest=sha256:fa24258d03f5f7a00cd47b088f274331461b3dac9f2444b9bfe5ea3d98ac3bb8

Observation 9fb2d29e-5e4b-4ff3-944f-99559e102d70 · inbound

Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models cites this paper.

Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 26

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arxiv_id, observed 2026-05-15T01:43:27.337237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T01:43:22.777232Z digest=sha256:c0a8495a3c9bee71988d410c628292eb1c020c6071590aebde12985e2bde8f76

Observation 21cc8787-5edb-4d31-ac65-ae4b255935fd · inbound

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics cites this paper.

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 48

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arxiv_id, observed 2026-07-02T17:37:14.893132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T21:55:48.561400Z digest=sha256:4868943f62393df51f230aa0e7f9cafeb68277c640d2229a8ea4f9f21393ddc8

Observation b5a85a15-ae91-47a9-b963-c642c9be3b3e · inbound

Do Activation Monitors Survive Model Updates? Benchmarking, Predicting, and Repairing Activation-Monitor Staleness cites this paper.

Do Activation Monitors Survive Model Updates? Benchmarking, Predicting, and Repairing Activation-Monitor Staleness Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 55

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verified exact
arxiv_id, observed 2026-06-27T03:30:26.988520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T03:24:24.714121Z digest=sha256:339e01b6a54ad26c0d5f3a751968acbbc6e8bba94f36442800db0e049cd93294

Observation 986a73b8-f404-4c7f-a866-6e054d114540 · inbound

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models cites this paper.

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 86

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verified exact
arxiv_id, observed 2026-07-01T17:35:51.328901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T03:35:34.594617Z digest=sha256:13f7cd1ad9d56056fe5a395b3222dd62378a863f7d356285eb423c3567e5407f

Observation 9a408c1a-a20c-44a1-9484-7a1639be7c37 · inbound

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models cites this paper.

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 38

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verified exact
arxiv_id, observed 2026-06-30T09:34:34.453497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-30T09:32:59.824110Z digest=sha256:c1c207561cbde0439433f4c121082dcece71f470d3e7a59c38556e9ae6c7bd77

Observation 1bc1f87d-385a-4433-91f2-33b429b9c815 · inbound

A Dual-Hypothesis Reasoning Framework for LLM Guardrails cites this paper.

A Dual-Hypothesis Reasoning Framework for LLM Guardrails Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 15

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no resolver link, observed 2026-08-01T17:41:11.909026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:11.909026Z digest=sha256:ebfd68c8a332cb8920e42cd3c917031231e8bcd1348f39d5ab710fdbbb213a0f

Observation f418fcab-282e-49ce-a78c-99e4c6b4dd68 · inbound

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models cites this paper.

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 20

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unresolved
no resolver link, observed 2026-08-01T12:04:24.102817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:04:24.102817Z digest=sha256:d923b5635d2a230c6bf814aaa64d91fd25230910d80071def9e2fbc583046285

Observation 37fc86a9-f4b7-4be8-b4bf-417450e1c4e0 · inbound

Visual Token Compression Enhances Robustness of MLLMs cites this paper.

Visual Token Compression Enhances Robustness of MLLMs Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 45

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no resolver link, observed 2026-08-01T13:10:37.406289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:10:37.406289Z digest=sha256:6f5cf01c0ad6de7a72e5bd15c4ecd361206a32f4639651ae3825bcff94e54ee0

Observation dd234149-1813-4a52-9f04-abdb222f3955 · inbound

Detecting Safety Training Modification in Language Models via Activation Analysis cites this paper.

Detecting Safety Training Modification in Language Models via Activation Analysis Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 12

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unresolved
no resolver link, observed 2026-08-08T10:13:51.677511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:13:51.677511Z digest=sha256:2785efae8a4a282242bcdf681c77dcacb1712f549dd6ba2c85854c4f80c5a3ac

Observation 454c49fe-1c87-402d-9808-567f6c713a3c · inbound

Protecting patient privacy in clinical foundation models: Technical and legal perspectives cites this paper.

Protecting patient privacy in clinical foundation models: Technical and legal perspectives Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 79

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unresolved
no resolver link, observed 2026-08-11T00:27:00.529635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:27:00.529635Z digest=sha256:496df66680e74aa61a1c8177116998f564cb6a9bd34ab802dc9abe1fe14f4aea