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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:6be553d9b11449e03d498958e992985c4f451349aca24ec87de4c66e46ec79cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T18:46:04.926179Z digest=sha256:bfaf3439e2cbd32b91245c548cf3209bf42094c98c406291d44543bbf7f0c857

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T11:46:14.226584Z digest=sha256:39b01b96438c3bec6b5d021d9df0839a20b1aca18c26085f7a6b557937af6e7f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:04:46.426969Z digest=sha256:6b4ebc389145fb592237e61718a96eee79205c05dfb967bcd442a3d6a86b4228

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:31:13.545599Z digest=sha256:d012051a931159255e164743405c855cdf3f64f49460121fbf9abacefef03059

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:04:25.851592Z digest=sha256:2873dc1f9fc0163d4ea7784c9522dfb6494c0e319d41d25f93d699bc61ef4549

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T04:33:54.058475Z digest=sha256:647256b7564c18d31e0d23e779ddc6261ca7f7aac6880ab8ed10725539c78a4d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T07:06:46.387088Z digest=sha256:ffc0455f2899e4f6871d1efffdfe055be8027f071bddb3b9d842af68c779fba4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T01:43:22.777232Z digest=sha256:842522e997d3ee5c038eab42ec846e9baf185367c3cb50b9f43c018675378f2c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T21:55:48.561400Z digest=sha256:949471ab5537cb2179c46b5d34d3dbfcea2a309db99340eddee495f34489990e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T03:24:24.714121Z digest=sha256:6aeb9be636048e728cb4dfe4f93d65fcf0954c99a6d3f78c7a3d75e61b314598

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T03:35:34.594617Z digest=sha256:5d9e887e9c9f951740d2dc0e1da0f82dc6eb9169c461aa8d070b30696325bf8f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T09:32:59.824110Z digest=sha256:abefdebe6c3fcbdd21f2eafad22db940f76fbada7d102beabbb97a13ea10c701

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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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