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Paper Citation Record · LEDGER

Building Guardrails for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2402.01822.

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

pith.paper-citation-record.v1
2402.01822 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:46.651107Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

12
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e8548ce0-5563-4ae2-b06d-6cfce9f1131c · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Building Guardrails for Large Language Models

Reference 196

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arxiv_id, observed 2026-05-12T17:28:22.690985Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:310de83ddecc35e884add8d2de9e73f6a412117829474d5f70beb3d25782362f

Observation f0513262-d87a-4f9b-8918-e4b95bd43a03 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Building Guardrails for Large Language Models

Reference 27

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source=pdf_text observed=2026-08-12T21:54:44.032244Z digest=sha256:1925b52331fdced72b5e8209cae7aee47c515422d31fcc9af6e7cd988e8f2691

Observation 43f0954e-7294-4976-949f-fcf536852d1e · inbound

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence cites this paper.

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Building Guardrails for Large Language Models

Reference 4

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source=pdf_text observed=2026-08-11T21:52:52.338575Z digest=sha256:0a237156e896aeb0776b506d3e68d7fd295bf43e8c6c297a0f908349dd0a1fcc

Observation 9225d55d-acaf-4068-b031-94dc66779f43 · inbound

LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena cites this paper.

LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena Building Guardrails for Large Language Models

Reference 14

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source=pdf_text observed=2026-08-10T22:19:35.863283Z digest=sha256:19c69fc83f32bcb772ef0e639e4d86b9ebf4b8e9cb00a9fa974ab192efc50654

Observation fd54c1ef-1759-49df-99fb-9369e50a2a02 · inbound

Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers cites this paper.

Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers Building Guardrails for Large Language Models

Reference 20

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source=arxiv_source observed=2026-08-10T16:19:47.980860Z digest=sha256:6eaaef62b758fc0b66d7170728c7f8dd9e0f7d39c8438a4a16c2dd5879769dff

Observation e1bd78ad-d57e-4e45-a751-bbc4dda800c5 · inbound

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs cites this paper.

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs Building Guardrails for Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-10T13:53:10.930539Z digest=sha256:2c296fdd4b8371f505d325430c2a9ed10535f5a52e28ac46dc945e0da4fe23f2

Observation 8601cc05-8c12-40ad-970b-aa93445726d1 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Building Guardrails for Large Language Models

Reference 10

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source=pdf_text observed=2026-08-09T19:32:34.214414Z digest=sha256:f02ec71b43b0d48de5325c7caa9def5a05c47e6597e53a46f9be9f1b8e117877

Observation 16d85f67-27d2-4334-90fd-f219076de0d6 · inbound

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications cites this paper.

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications Building Guardrails for Large Language Models

Reference 4

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source=pdf_text observed=2026-08-16T10:20:46.651107Z digest=sha256:f93b7ead7be6ef757cdb6b249aa45dbfedf6928ccae168e0e1b1ff0d607969cb

Observation bdc9b118-0983-40b8-892d-4a21f835c312 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry Building Guardrails for Large Language Models

Reference 57

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arxiv_id, observed 2026-05-22T14:06:37.849546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:4837879a55ccc2dce8380cc7483bd3808c03ed394bb24a75811962b28866e057

Observation 7b6c9bad-d0d5-4c83-be8e-559423637ada · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay Building Guardrails for Large Language Models

Reference 17

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no resolver link, observed 2026-08-07T14:44:23.169749Z

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source=pdf_text observed=2026-08-07T14:44:23.169749Z digest=sha256:d5e9f52291279d722a407a5e644b1d66b4e9721a7b3c2b7da9cf86ada4271c4e

Observation e85f8422-b54c-4a7a-b4f1-28f4e2fa8918 · inbound

Speaking images. A novel framework for the automated self-description of artworks cites this paper.

Speaking images. A novel framework for the automated self-description of artworks Building Guardrails for Large Language Models

Reference 34

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source=pdf_text observed=2026-08-07T13:17:52.357564Z digest=sha256:cf547121ca03cc0bc6bd2a671d7d2be1ddaec62ab3fd7301782dc35474a16a20

Observation 7026cd90-588b-41ad-9ef7-672336983bdf · inbound

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation cites this paper.

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation Building Guardrails for Large Language Models

Reference 17

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source=pdf_text observed=2026-08-06T20:45:53.265935Z digest=sha256:908dda06682ed90f4f69b6c76cfe4a31417f6fa4fd242e02ad76afddee5374e1

Observation 1c8f77b9-b467-405b-a8f3-edf6aecc1fd8 · inbound

`For Argument's Sake, Show Me How to Harm Myself!': Jailbreaking LLMs in Suicide and Self-Harm Contexts cites this paper.

`For Argument's Sake, Show Me How to Harm Myself!': Jailbreaking LLMs in Suicide and Self-Harm Contexts Building Guardrails for Large Language Models

Reference 9

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source=pdf_text observed=2026-08-06T21:05:17.019897Z digest=sha256:70f26d81bb7b853c5705b26513f2233465dfeeba510c7789de1740da4e27f44f

Observation ce73c044-1664-4028-ab1c-a38b782638e1 · inbound

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy cites this paper.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Building Guardrails for Large Language Models

Reference 3

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source=pdf_text observed=2026-08-06T20:09:17.288317Z digest=sha256:b195f009bc737744b549330075345bfbf63edeb15643c844bcd74d6301d37757

Observation bb3a35ed-fc71-4851-8ca8-1b85dbbed7bd · inbound

LLMs Encode Harmfulness and Refusal Separately cites this paper.

LLMs Encode Harmfulness and Refusal Separately Building Guardrails for Large Language Models

Reference 8

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no resolver link, observed 2026-08-06T17:03:15.710001Z

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source=pdf_text observed=2026-08-06T17:03:15.710001Z digest=sha256:dad2ba44668d18a0bf76ebc81d8ce6ec345a08328606cef125e73581a72476c1

Observation 051f8d6d-780b-43d3-a49d-2461fbd135d8 · inbound

Customize Multi-modal RAI Guardrails with Precedent-based predictions cites this paper.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Building Guardrails for Large Language Models

Reference 2018

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no resolver link, observed 2026-08-15T17:47:15.336216Z

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source=pdf_text observed=2026-08-15T17:47:15.336216Z digest=sha256:d9f7922db2548015069c08c05f914900fbb4ea048cf7efc55d04071a694c6f89

Observation 04d3d285-a050-4f72-aa3b-2c810a150714 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Building Guardrails for Large Language Models

Reference 23

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source=pdf_text observed=2026-08-06T05:29:11.155918Z digest=sha256:4caa772437c6a8c39aa775a5e0632aed11eeda0bc438254e3185d502c3e59798

Observation 64c906db-950c-4e08-847b-b4d4073094be · inbound

SATORI: Static Test Oracle Generation for REST APIs cites this paper.

SATORI: Static Test Oracle Generation for REST APIs Building Guardrails for Large Language Models

Reference 24

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no resolver link, observed 2026-08-05T17:26:48.595039Z

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source=pdf_text observed=2026-08-05T17:26:48.595039Z digest=sha256:25ab5e46d3a6a26106fb4cbe1bda72958133414f99055829ca01151c45e834ed

Observation 1893f54c-a1ca-463a-a32e-7abe2f85ed59 · inbound

Agent-Sentry: Bounding LLM Agents via Execution Provenance cites this paper.

Agent-Sentry: Bounding LLM Agents via Execution Provenance Building Guardrails for Large Language Models

Reference 8

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arxiv_id, observed 2026-05-15T01:18:26.427914Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T01:17:40.860439Z digest=sha256:39ffb63d4f2f93a8730d53a62dd35f4a116e4dce40c0ebe9271ac94f93d74131

Observation 6fbb7b5b-4d66-4434-96d9-3506c8b73eae · inbound

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind cites this paper.

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind Building Guardrails for Large Language Models

Reference 1

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arxiv_id, observed 2026-05-10T15:10:31.620684Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:06:23.420768Z digest=sha256:c9d593f942106c484a3a2f66d25aa8ac0272b41bc75efe86e43922c76ac1b58f

Observation 48e95ec2-0e00-4bc8-8b12-1bda454ea968 · inbound

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind cites this paper.

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind Building Guardrails for Large Language Models

Reference 2024

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no resolver link, observed 2026-08-02T16:26:54.261479Z

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source=pdf_text observed=2026-08-02T16:26:54.261479Z digest=sha256:ccfb554e62a10444f5264d97e49116aaaf7039d32c895c7c91cb8e2f4ecebd30

Observation 05dc1be7-5487-401d-a7d0-dfd3b8b3ac01 · inbound

LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training cites this paper.

LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training Building Guardrails for Large Language Models

Reference 9

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arxiv_id, observed 2026-05-11T17:01:08.514550Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T14:17:57.772960Z digest=sha256:e44e17d2700343072aeb4f005b02bc114c003a0107344fd91c347f6639c0b02a

Observation fb1661d6-69e1-4c65-a6e7-5e3e9ad99c57 · inbound

Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs cites this paper.

Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs Building Guardrails for Large Language Models

Reference 10

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arxiv_id, observed 2026-05-09T06:45:44.543140Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T18:07:00.247161Z digest=sha256:99ae9ee0b05bffaadc97b074cf47b87c03f90bd9686b358d822cdaeb8e8be5f5

Observation 1b31a8ec-323b-4d71-b2f0-5e6d0f7e4060 · inbound

Understanding Annotator Safety Policy with Interpretability cites this paper.

Understanding Annotator Safety Policy with Interpretability Building Guardrails for Large Language Models

Reference 74

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arxiv_id, observed 2026-05-11T17:21:08.659993Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T17:41:00.933594Z digest=sha256:2a52e4923a2844ecb328f56a9edf3fbf0ff6379f79e24e6e6adfa5338ddde02d

Observation 8a62028b-35ed-4e7a-ae8b-efca31157c9a · inbound

Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries cites this paper.

Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries Building Guardrails for Large Language Models

Reference 8

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arxiv_id, observed 2026-05-13T07:32:29.973070Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T07:29:20.993146Z digest=sha256:4651b79b6b8f3b90de7c7dee0a77c959b6e360c7679f71db2d4cfdb9de9b8c84

Observation d0b7986d-ce4c-4623-be5a-598e04735b07 · inbound

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On cites this paper.

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On Building Guardrails for Large Language Models

Reference 17

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arxiv_id, observed 2026-05-20T10:33:12.366076Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T10:31:16.368065Z digest=sha256:fd9180eb4464262b6ac8ff71995d9a5d6558767d9b01c55eca40167b2d40a341

Observation f613d1b3-5913-453e-947e-81ed7718ae98 · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Building Guardrails for Large Language Models

Reference 12

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arxiv_id, observed 2026-05-20T05:48:04.550266Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T05:45:02.563352Z digest=sha256:d186b059e934c17cef12a7c5edee9898a82f2db2c0c052e0d02f37e9544391ca

Observation 0dde6652-3202-42ac-bb8f-ee7238751793 · inbound

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) cites this paper.

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) Building Guardrails for Large Language Models

Reference 9

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arxiv_id, observed 2026-06-29T17:03:40.883974Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T16:59:53.490989Z digest=sha256:d42884cc5cfc75caecac2c3e4f6caac3e6527c4623f5d22a9116bd1cce41ee56

Observation c1575f6a-e6c8-4972-aacb-e9caf5ff0934 · inbound

From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents cites this paper.

From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents Building Guardrails for Large Language Models

Reference 9

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local_arxiv, observed 2026-07-10T13:37:06.719403Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T13:27:21.622491Z digest=sha256:48c63c47c54f73d628abfa06c4ed66e81666d12aaf9e500bee94794094fe2e12

Observation 53e7fd48-a315-427b-8174-fcecb8e6ff37 · inbound

Fence: Specialized SLM Guardrails for LLM Applications cites this paper.

Fence: Specialized SLM Guardrails for LLM Applications Building Guardrails for Large Language Models

Reference 2

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source=pdf_text observed=2026-08-02T13:21:53.682526Z digest=sha256:5533249f6f1cd18e09c7e34a73b5f8e69c114d0f1830808231e75b179ea4d6f8

Observation 21c12ef6-3af5-4919-a4cb-a3a10109790d · inbound

Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications cites this paper.

Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications Building Guardrails for Large Language Models

Reference 10

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source=pdf_text observed=2026-08-01T08:17:05.798352Z digest=sha256:4bd73907522572fe90d5786615913c0bd63ec6bf5e3d6b53017164c398636255

Observation a4717bb7-2d3a-4720-8a79-daeaeec47fe4 · inbound

Asymmetric Communication: Large Language Models and Language Games cites this paper.

Asymmetric Communication: Large Language Models and Language Games Building Guardrails for Large Language Models

Reference 75

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no resolver link, observed 2026-07-31T16:43:59.026072Z

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source=pdf_text observed=2026-07-31T16:43:59.026072Z digest=sha256:b081a53ec26366cac28ef5570fc769be31614207821dca86d3534ca19c1dd835

Observation de748d11-3bdd-4e6f-b974-90c2506d1f14 · inbound

The Evolutionary Origin of Values: implications for AI alignment, sentience and existential risk cites this paper.

The Evolutionary Origin of Values: implications for AI alignment, sentience and existential risk Building Guardrails for Large Language Models

Reference 1631

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source=pdf_text observed=2026-08-15T14:54:50.640631Z digest=sha256:9b79721b0ae6e0e23177331959133fd4a8a951a8872b90de8111021135b1244b

Observation 5ad8465c-c8be-45a3-a110-f651cb5e2067 · inbound

Do All LLMs Know When They're Being Harmful? A Reproducibility Study of Latent-Space Safety Probes Across Model Families cites this paper.

Do All LLMs Know When They're Being Harmful? A Reproducibility Study of Latent-Space Safety Probes Across Model Families Building Guardrails for Large Language Models

Reference 19

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no resolver link, observed 2026-08-12T00:37:59.095718Z

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source=arxiv_source observed=2026-08-12T00:37:59.095718Z digest=sha256:da1c682fa678b84fbc3ac21335581c571a139dcf0ea5eef019f2322a690980c2

Observation ec70cb2b-5b99-452e-ae5e-014cc4940bdc · inbound

Yesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production cites this paper.

Yesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production Building Guardrails for Large Language Models

Reference 10

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no resolver link, observed 2026-08-14T04:39:29.999443Z

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source=pdf_text observed=2026-08-14T04:39:29.999443Z digest=sha256:30da8c9096602d8af27d48234013dc229c297f7340ae78c42726d308ac87b87c