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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:08:02.302336Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
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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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:9e65827169f789f4f71a54e2707ab2f16877fcc9045eb116d6c0665e8ed1c15e

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=sha256:127e3c50239a5d2964b951b0ea6ecd8c3876bc1407f3d9f0ce6ef4065d406b34

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=sha256:986afe33b98ff5c14a5587191e457694441f800c3b100dcfe09b0ee29818651f

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

Resolution
unresolved
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=sha256:8d9dc1b95d04ffa71e1b7b80547fdd6ea8b2d2a15dcdb03f4a554a3b1d920216

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=sha256:0e9a5c3f488f5090c669189f5b8ff294ac6e606564dee22797b0661d348b2a90

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:bc50ec258d27a3aa16374ff455ac363eaa7f84998f655f6f5866a12ce2ce1fc9

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=sha256:8f8f166f34137c11173a0f5c9a43b6ca2ec6931891a9ff152c4769e404e58147

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

Resolution
unresolved
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:ec15b84467335f4ce96b2b66c824674252e646ff7d59625c78a1a484ae867892

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T18:46:04.926179Z digest=sha256:b1d18abeed86a9327989a95d3c2a9f77a1f44520d6a2abe39bdc0f41e2a41336

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=sha256:6481680b906347dfc24ce829a109296d43df802c1fccf5beab1c40c4a6732181

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T11:46:14.226584Z digest=sha256:0cdf4ec173b11918e0227bc628be4a1ea3ebb935051b7a39aabc1065ff5c3cfb

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

SALLIE: Safeguarding Against Latent Language & Image Exploits cites this paper.

SALLIE: Safeguarding Against Latent Language & Image Exploits 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:04:46.426969Z digest=sha256:9992897f08aa0da8b9eae5c44f3ca76de4e1c8968b30c032427c2a5208b7c8e2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:31:13.545599Z digest=sha256:0e3aa517b88e1f500860a974b917acd14725115e8c8cb85a5d435bf7635743ef

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T16:04:25.851592Z digest=sha256:85ec74cbc7e71e261eba05f8badc2b3abe830bc0293033f8459b864f1a2568d3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T04:33:54.058475Z digest=sha256:b6ea14b8e92b99ffbe0eaae7488d687d1ca799e10684ece9b26b8b453ba74206

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T07:06:46.387088Z digest=sha256:1299113da4c959c93e0a617aa24f087a99a0df39b8a5702039993d4dd3fb72c0

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:43:22.777232Z digest=sha256:aadb527d1c8c6e5f779abd13db6a068e2a7902aef820ac42a174cdde86bef787

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:55:48.561400Z digest=sha256:b789e801df90dd3a9fd012b3d36cdfe1c25702a1b64b24cc7c52c64733a2788e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T03:24:24.714121Z digest=sha256:086aff49148de6b8c7c59e26bca186f41744e5586697e11e9e68da4a8fb53ff7

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T03:35:34.594617Z digest=sha256:1f9eae959bf4cc2ba68e89c6c1d0415a4949e9fe3c031fee0554616c3198fe55

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T09:32:59.824110Z digest=sha256:94ced229c9f924ac8c8ccb10282c3c8f80b7b92b3895f91820fbe601af77d5c1

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

Resolution
unresolved
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=sha256:81d19d19f13b406c2e847a9e824fe764603c0028fdd935b61c006fc413333644

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

Resolution
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=sha256:89e8a0dcc3453c016e28f59b670e5ff05a478d6ff23429d90f18df00669abd16

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

Resolution
unresolved
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:c712eab39c0a1e4cff9d805b07d66b809c7bb19d33aded342cdb1fb2fcc7310a