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Paper Citation Record · LEDGER

NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 58 inbound Pith citation observations for arXiv:2310.10501.

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

pith.paper-citation-record.v1
2310.10501 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 58 of 58 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:00:23.932513Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b4993f56-dc1c-426a-9d62-f7b05c094576 · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 86

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verified exact
arxiv_id, observed 2026-05-23T19:08:20.878799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:290bcc5e505b9f4498064e6704647205d46b795354d16353b7a87a1ebd32bed1

Observation b2252999-c98c-4cff-a5d1-dca18bd0d6a4 · inbound

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

Challenges in Guardrailing Large Language Models for Science NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 21

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no resolver link, observed 2026-08-12T21:54:43.998281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:43.998281Z digest=sha256:d79c198beb386504f84863ec6f856e7b26e497e04501d8142f4522e43a8b431f

Observation b0136c51-ff37-4ced-a9f4-4af54fc8a025 · inbound

A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection cites this paper.

A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 21

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no resolver link, observed 2026-08-12T17:05:25.263784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:05:25.263784Z digest=sha256:29865c3e493072872397112b6d10fd5e4d4936b360a38749e8d22b5a76fdbe10

Observation 503cdfce-8364-4355-9654-d4fc75b6c598 · inbound

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings cites this paper.

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 16

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unresolved
no resolver link, observed 2026-08-12T04:21:32.527774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:21:32.527774Z digest=sha256:9605f6027cd03d114dcea780b88ac1b5856007c5866a1ee6220464c631564a39

Observation ad328f1d-067e-4eda-bc03-901d4593ca5b · inbound

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs cites this paper.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T13:38:04.460651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:38:04.460651Z digest=sha256:64fc6d1a18c03b4a355c3d4158a954780e231b17cb30f0a6018e800c291145de

Observation f807bdf1-b1f4-470c-b3ce-1cc8dc858f10 · inbound

Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails cites this paper.

Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:54.790811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:15:54.790811Z digest=sha256:a16d1d48fd9c18fa839a14c43619c69f04b0980d2f4f616ed477932e7c68bca3

Observation 68a9dd76-5e7d-42f1-9c5b-aaecabe4d199 · inbound

Adversarial Reasoning at Jailbreaking Time cites this paper.

Adversarial Reasoning at Jailbreaking Time NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T14:49:08.803069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:49:08.803069Z digest=sha256:ed2f8f69da37d3898e49757316a3e3d70c61b23764ea786acf80089d0707ef31

Observation 9467d2cd-2697-4dfd-9897-cb1cfa33f8ad · inbound

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 61

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no resolver link, observed 2026-08-08T10:23:06.230142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:23:06.230142Z digest=sha256:96041e81dbf72d7ff87df8cd2160222ff7c9094adaa7f035c92191591c6a2300

Observation 8b29e581-855c-4b23-8efc-cb5c7e31ec07 · inbound

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing cites this paper.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:23.932513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:23.932513Z digest=sha256:4c7d6a96d1445d5d9ca32ba811840833503eecfc77ea86683a9ceed215441849

Observation adb86806-5f38-4b35-8429-ba15cbab4ba8 · inbound

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) cites this paper.

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 84

Resolution
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no resolver link, observed 2026-08-15T21:10:20.098151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:20.098151Z digest=sha256:52c660094f0c7612c8db4950c25d6559acb5f5728fa407e5771a571243cfc4aa

Observation 717f6f6f-6ed1-4ab2-8aac-de77b9e10e61 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 53

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no resolver link, observed 2026-08-07T15:12:23.329400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:23.329400Z digest=sha256:580b13071a5078db0e20015d5df399dd65d237eff57a7d33b04185165dae730a

Observation aaef1318-e025-4719-b3e6-875569d1de59 · inbound

JavelinGuard: Low-Cost Transformer Architectures for LLM Security cites this paper.

JavelinGuard: Low-Cost Transformer Architectures for LLM Security NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:25.473951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:25.473951Z digest=sha256:522ea3aa8f38a666bb3645b5139533eb44ee261f7a729f3aebe7380b39ec0485

Observation eb992438-948c-462a-8c22-a290396edb1c · inbound

AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma cites this paper.

AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:27.690079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:05:27.690079Z digest=sha256:b8ab872ed5648b4d9daf60733c96517e57f3986aeb9ec66b31458279d2e2ce2f

Observation 1fc1e1e5-5be1-4380-8dff-5ac28be4f39f · inbound

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems cites this paper.

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:44.912083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:44.912083Z digest=sha256:0b731c7a716d885ec1622eed24407fdbf74d72dd2aa0f8840e19522006628830

Observation ab2732f1-4829-4662-9929-4c3f03441927 · inbound

OneShield -- the Next Generation of LLM Guardrails cites this paper.

OneShield -- the Next Generation of LLM Guardrails NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:04.614238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:17:04.614238Z digest=sha256:53bf56e94e28d1f1d3405f5a491b23d46f925b47dddcb702a31e9aea907d686f

Observation 8253f1c1-1306-4637-a14e-3b88ed3655ac · inbound

Reliable Weak-to-Strong Monitoring of LLM Agents cites this paper.

Reliable Weak-to-Strong Monitoring of LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T15:53:53.817232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:53:53.817232Z digest=sha256:1486fdba1af4fb5845ef0bdb433b05e4a3cc4264ade2e346d9ecd5c3d0694aa2

Observation fa9f974a-e3f0-42b6-b902-93d37e52069c · inbound

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails cites this paper.

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T20:44:22.072683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T20:42:40.823721Z digest=sha256:7d26f29f7f9b31aad29213a76ad5acaacb6c3782b90fd6ec3951efa7612fe956

Observation 55fc4bc5-a864-42b6-9a51-354b937030f3 · inbound

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models cites this paper.

Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 22

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verified exact
arxiv_id, observed 2026-05-13T22:03:20.358831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T22:02:12.555644Z digest=sha256:d60bdb3465f99dcaacc72d1bc49ec2e30fdc679fbcdb5aad554b839e4f99b065

Observation 988f07a9-3c60-4928-ae7f-6ae459f5497b · inbound

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study cites this paper.

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-11T06:56:03.810738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:22:10.367439Z digest=sha256:d3410edb9c58af7b96dc493b7dc7f807afbdeecd04cf7a8de77ad4102084a1a5

Observation fa2f3eff-e0f2-4d8b-b9d7-92215802a7bd · inbound

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study cites this paper.

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:50:50.209977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T00:47:07.042535Z digest=sha256:83a0e3e3834c752e3da36e34da47aef747788e1f94c99c3a01d3a03746007368

Observation 45353e24-1575-4907-b7d2-15fb1a924d7f · inbound

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study cites this paper.

Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 42

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unresolved
no resolver link, observed 2026-07-13T00:06:54.167921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T00:06:54.167921Z digest=sha256:cf0e92c7fdf2a9515258ec9cd898337292e384144739d8bd0466dda39916d398

Observation b8d0b09d-1a80-46ea-b8ec-75ec66fd4f17 · inbound

ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems cites this paper.

ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 11

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arxiv_id, observed 2026-05-11T08:50:59.116572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:27:18.594869Z digest=sha256:844356899b874919c0f5c430007272faf19f869db8702a55ff837ad6a189eba4

Observation 44161601-9ef9-4630-a92c-881f44f7945d · inbound

Token Statistics Reveal Conversational Drift in Multi-turn LLM Interaction cites this paper.

Token Statistics Reveal Conversational Drift in Multi-turn LLM Interaction NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 23

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arxiv_id, observed 2026-05-15T09:25:22.303119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T09:20:21.372218Z digest=sha256:b1595bc8c7770e32038dc93c4a092ca8aaeb66f432620b5cae16d90ebfa182c7

Observation 3512136d-4cf7-450d-83f8-3436c305e087 · inbound

enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways cites this paper.

enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:11:53.138595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T07:11:06.389107Z digest=sha256:8d6ed9616a324453cbeac4fcfd7dd52985a40b9355a6d2a2e11ef325164556f9

Observation ea408a28-2620-4558-a0a3-f6ff393382d6 · inbound

enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways cites this paper.

enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 50

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verified exact
arxiv_id, observed 2026-05-12T01:51:14.463121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T01:50:36.175721Z digest=sha256:482f35a6a07d5f743ed9fd984e654ddf297b1ecd835f32bb531b246a42833c4d

Observation c5498d4a-8f06-4a5d-ab2b-2fac2ac13b24 · inbound

Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives cites this paper.

Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:56:47.437364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T06:55:24.385051Z digest=sha256:d399827d6c12563aa135feed0e1fb4c87b11450dcbba9182fd4effddff8bf00e

Observation 9767e920-dd6f-4c74-8c10-00761c8e6ed4 · inbound

SafeAgent: A Runtime Protection Architecture for Agentic Systems cites this paper.

SafeAgent: A Runtime Protection Architecture for Agentic Systems NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-10T06:11:20.536143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T06:06:49.717091Z digest=sha256:0719c80ec977a1114df7d747578a9a5801c9b42906fe8f7bc26f1e7aa8361c9f

Observation 842eb825-ac2d-4dbc-a84b-4272b1721cdb · inbound

Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents cites this paper.

Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 97

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verified exact
arxiv_id, observed 2026-05-09T06:15:38.448247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T18:42:06.418583Z digest=sha256:9f7e0789b82c3777647de54b470712d501f445d9216b22bd04edc8b1d9ed3984

Observation 05fe93da-c7e5-4a2f-a65f-4a2df78ad0f7 · inbound

Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents cites this paper.

Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 97

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unresolved
no resolver link, observed 2026-08-02T15:04:29.364361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:04:29.364361Z digest=sha256:671a4bc1145f12dc455b47199b5018edf4692fb10f77321ce876bc0eeeba02b0

Observation c594745d-e64d-479b-b9df-e064eb66b46e · inbound

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect cites this paper.

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 12

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verified exact
arxiv_id, observed 2026-05-09T06:20:41.124157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T18:35:57.667344Z digest=sha256:fe3b82b872c47037309f15d351d8374a69b8ad05c2938e77aa8830b92472a69b

Observation 6458de43-be5f-43c3-ae1f-88b56568d8ef · inbound

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect cites this paper.

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-12T03:21:18.994749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T03:18:11.272461Z digest=sha256:e7a6e257b101a1a9af8ece369cd0d9b355fa0165a123b94982194acff6c88013

Observation 88fbaac3-cf8d-48cd-9c56-87af5c978ed3 · inbound

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect cites this paper.

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 29

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verified exact
arxiv_id, observed 2026-05-22T10:51:26.602424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T10:48:23.196532Z digest=sha256:8449dae5efdfbf63ac37066f8bd0b75a30433bd36210feaf8a9a6a4670e39f45

Observation dd641b6e-3266-4379-92e1-c2813c446a19 · inbound

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect cites this paper.

Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T00:35:10.184561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-01T00:32:26.957903Z digest=sha256:cbc3aed4bd1ec0279d0b88b6d01c634a96a022c07e62a052aaf2525af5febf34

Observation 6657d26d-f5c1-4cf2-90d5-c885605e0ce9 · inbound

AgentWall: A Runtime Safety Layer for Local AI Agents cites this paper.

AgentWall: A Runtime Safety Layer for Local AI Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:09:59.455736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T10:05:57.807585Z digest=sha256:e8f5cc5e31e9fe2586d91d634f9dcccfa7f632baf45bf47eec3494defb50c8cc

Observation 2c6813e8-b676-45f0-ab46-e1eb6fe5266f · inbound

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications cites this paper.

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:32:52.681567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T23:30:43.364230Z digest=sha256:82b22a2d6d45d690636360efda1bb23b7dbf2f2284ef14c658435e604114f5c7

Observation 41dacb91-b90a-4f5d-ae2f-1d443ef85b3f · inbound

From Intent to AI Pipelines: A Controlled Agentic Framework for Non-AI Expert Scientists cites this paper.

From Intent to AI Pipelines: A Controlled Agentic Framework for Non-AI Expert Scientists NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:29:56.997423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T09:27:05.332950Z digest=sha256:539eeb2c16ffb77d97344b77e47499117defe6003aeb946ff23c22746b048811

Observation 48b1c8b6-6de2-4abc-a885-27a725373c23 · inbound

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents cites this paper.

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T04:53:04.166580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T04:52:24.576085Z digest=sha256:b99ef57e2231b8318cf51a1b1055a36c8c386a9af121e6ba1dc8b40a827f32e2

Observation 365ed299-cd65-4513-a992-54e18e730590 · inbound

Intent-Driven Computing: A Computational Model for Governed Autonomous Systems cites this paper.

Intent-Driven Computing: A Computational Model for Governed Autonomous Systems NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:35:12.725508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T16:28:13.296908Z digest=sha256:3c5bb6ad706d0556f2c81a98c84f989b50899cc76469bd15bc115079aed89bdc

Observation 4c4d7398-2c81-4c14-87bc-811767aa1c6f · inbound

Robust and Efficient Guardrails with Latent Reasoning cites this paper.

Robust and Efficient Guardrails with Latent Reasoning NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:13:26.923418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T12:07:16.574111Z digest=sha256:7602cc7dfdc224d34ec22a4901d5e24dfc1fc77276a8218c2a7f2b9fdd53eb27

Observation 3d199a52-b23a-4569-8195-23a36656cf25 · inbound

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense cites this paper.

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:24.443083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T13:13:05.210457Z digest=sha256:cb84dd46949585a4e5ae207c6fd351e8ea7c17ddca1a602b62b2814ac837c957

Observation 2d03a2f7-10df-4b36-9b84-aa58e98b3c6d · inbound

Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure cites this paper.

Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:22.539818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T20:15:56.875933Z digest=sha256:298cddb39f28164342e6c2e423f4045697565ecccca766e72e982ee6f59f580a

Observation 86e031ba-5c01-40d3-a975-8aac0e595e64 · inbound

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) cites this paper.

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:30.415492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T16:45:27.352655Z digest=sha256:5739175bb82f40c50f6e52d768107cf4b12fda1821aac1a656e8dc1a056915de

Observation 97b474be-3258-4ec3-b20b-c5645f002d70 · inbound

What makes a harness a harness: necessary and sufficient conditions for an agent harness cites this paper.

What makes a harness a harness: necessary and sufficient conditions for an agent harness NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:31:10.809501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T15:15:57.372858Z digest=sha256:41e55a4b41e3752fdb6c3d7723abef8acfbcfd731057c45aa7de405d1bdbb85f

Observation 778f1ca3-9fbb-42df-ab7e-4f35d4926acb · inbound

From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails cites this paper.

From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:58:43.540802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T04:42:05.886984Z digest=sha256:5a135b0b76c7dd5ccfdeca6aa04476886459d83d4fb05d8249434606cc67fe13

Observation 5e3a5182-67d8-41bd-90f2-cf986d1d806f · inbound

Runtime Compliance Verification for AI Agents cites this paper.

Runtime Compliance Verification for AI Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:59:25.314105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T20:08:39.045215Z digest=sha256:34f80855c29c8e8834400384de349e6e6cff05b9b94e914dcc61b2a99f1785a3

Observation 6c7e2c5e-bd24-4221-9959-e5e9967ea8d0 · inbound

A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots cites this paper.

A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T02:09:22.531156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T20:00:14.036515Z digest=sha256:bb238cc767347e37d6b7818319fe1db4728da97b924cde63e8b415dac659dd81

Observation db21d6a0-6185-4b3d-9489-9949c562c0b8 · inbound

Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows cites this paper.

Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:49:37.956496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:10:22.581443Z digest=sha256:4480eeb2909c83a3f5d138a73dbb3b2338df3629c8a012da4eeb1170fc9fad71

Observation 2c2787e0-3e7f-4a85-89af-1910e596926f · inbound

The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems cites this paper.

The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T21:10:09.305147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-25T19:01:27.048159Z digest=sha256:88fbdc61d52d9783144fe95eac07ec466456ff630f05c4eb94284804e30c86b0

Observation 24aa95bf-f94d-4712-9e57-9b40a398d100 · inbound

Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents cites this paper.

Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-09T12:06:13.575458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T12:05:56.683347Z digest=sha256:e9eb9bc56bbf738465f779bb108f8240a4e2b1d87ab97687649ebff678591c35

Observation f8ff12fd-8897-46f6-bdb9-ce73fa234feb · inbound

Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents cites this paper.

Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T15:46:54.344384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:46:54.344384Z digest=sha256:44289013e5ed5fb564508b366631fde79347e9fafd8007e2835a777a044dc21b

Observation d477a756-8a67-4c21-b528-fbf58b0ebc99 · inbound

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents cites this paper.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T12:50:38.340398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:50:38.340398Z digest=sha256:206b4926d92323cb239b95f7d10a59f56f115420a1a4072eb49c641de13e67b9

Observation 470426f0-0ca4-4936-b8df-386cf7d2daef · inbound

Phionyx: A Deterministic AI Runtime Architecture with Structured State Management and Pre-Response Governance cites this paper.

Phionyx: A Deterministic AI Runtime Architecture with Structured State Management and Pre-Response Governance NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T14:57:50.710796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:57:50.710796Z digest=sha256:1fa6516dffe6d353976234e3ba05101f8e8f7fbce3110bffbf6f7f682dc826cc

Observation 8c5b927b-6d3a-430c-b983-60fc85ff7e5b · inbound

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

Fence: Specialized SLM Guardrails for LLM Applications NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T13:21:54.750728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:21:54.750728Z digest=sha256:feed8167434247cb155e60b7ec15695c5c70db1efcb0d07662a8db4c3238201f

Observation ab4c7147-9760-4409-b01c-cb4f85453004 · inbound

Geometry-Guided Constraint Learning for LLM Safety Classification cites this paper.

Geometry-Guided Constraint Learning for LLM Safety Classification NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T11:57:53.165247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:57:53.165247Z digest=sha256:fb0c2e4c20d52cb7eaa026dd51a7cdd9cbdf02405b804525022143446292bf40

Observation 616d183b-a3da-46c9-94fa-5be37d20b910 · inbound

Autonomous Topology Mutation: Safe Runtime Restructuring for Multi-Agent LLM Systems with Capability, State, and Shadow Invariants cites this paper.

Autonomous Topology Mutation: Safe Runtime Restructuring for Multi-Agent LLM Systems with Capability, State, and Shadow Invariants NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T12:21:06.182208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:21:06.182208Z digest=sha256:b9c2dfb383f4f49a0528c0325440e0f5ecec0e00dcda2f6275fa30cecd7b3bb0

Observation 21e85290-584a-4a6a-b209-a0dad0a58778 · inbound

Dynamic Capability Scoping for Enterprise AI Agents: A Synthetic Dataset and Three-Source Permission Architecture cites this paper.

Dynamic Capability Scoping for Enterprise AI Agents: A Synthetic Dataset and Three-Source Permission Architecture NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T04:47:41.367804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:47:41.367804Z digest=sha256:2fbc1d7a0aa4edd459f28ee788f97040b7a2fe4f11e805c3f21610f82b965596

Observation 2477af0b-ae23-4c91-ab29-a8fa42624673 · inbound

NiyamAI - An Intent-Bound AI Agent with Cryptographically Verifiable Guardrails using Zero-Knowledge Proofs cites this paper.

NiyamAI - An Intent-Bound AI Agent with Cryptographically Verifiable Guardrails using Zero-Knowledge Proofs NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:44.087700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:44.087700Z digest=sha256:e406c910bfd42f02b07347acd4a17b449cfb198072cfb90034c8f215f7464740

Observation 03571801-fe91-4608-948f-f982897c8e80 · inbound

Agent Safety Should Be a Runtime Contract cites this paper.

Agent Safety Should Be a Runtime Contract NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T14:19:13.829661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:19:13.829661Z digest=sha256:04dadc6063726a7ed93d4134903aada42e966114597b14d8d0fc366bbf12836a