Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.16215.

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

pith.paper-citation-record.v1
2607.16215 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:50:39.755036Z

measured 21 of 21 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 818d9250-812b-47aa-8be1-f18724811d0a · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.534072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569800c5-8efa-438a-83bc-882534d1de1f · outbound

This paper cites Wang et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Wang et al

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.602311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c9a25b-f1c3-4cb8-9fbc-f301ace863e1 · outbound

This paper cites Li et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Li et al

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.668321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6200cb-027a-4a0c-8f9c-4cd8fe473d4e · outbound

This paper cites Cartagena and A.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Cartagena and A

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.732523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d1c8a1-f6ee-4c26-8414-6c0317afed5f · outbound

This paper cites an unresolved cited work.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.798255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7918d04c-8009-44a2-8382-9d95e85b4380 · outbound

This paper cites Uchibeke.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Uchibeke

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.869276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee03b789-bdec-44c1-8b66-d52ea08a7618 · outbound

This paper cites Holistic Evaluation of Language Models.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Holistic Evaluation of Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:37.938584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7579500-3863-4715-8535-4b73dfa6ce31 · outbound

This paper cites Wang et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Wang et al

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.009760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3acbe0f2-858a-49d7-93eb-0b035a1db412 · outbound

This paper cites Zeng et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Zeng et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.098564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cd3068-cdc2-4853-ae56-b54cbea61a38 · outbound

This paper cites Mazeika et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Mazeika et al

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.224463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d6fa2c-34b3-4eef-ab67-548a2f30f581 · outbound

This paper cites RAIL in the Wild: Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents RAIL in the Wild: Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.272466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails.

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.

Observation 2bea2874-81dd-420f-ab59-0e5ce90862bc · outbound

This paper cites Chennabasappa, C.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Chennabasappa, C

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.445784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e4a66e-4b89-4a16-8af5-b713bbfd82dc · outbound

This paper cites PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.561845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b1712f-24fe-4050-9e08-edbb34d8d735 · outbound

This paper cites Agent-SafetyBench: Evaluating the Safety of LLM Agents.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Agent-SafetyBench: Evaluating the Safety of LLM Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.712139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b1aeca6-30c6-4781-9f5f-26fee2edc2a9 · outbound

This paper cites an unresolved cited work.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:38.862550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f16670b-784a-4763-91bf-18d3367279e2 · outbound

This paper cites AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:39.097813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d679d3-fd7f-4ab5-a97a-3640b2a8a69c · outbound

This paper cites Olausson et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Olausson et al

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:39.249747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11abc061-e434-4532-a1bc-80f89f0f2431 · outbound

This paper cites Chen et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Chen et al

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:39.389135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6d34ab-e561-422a-ada4-5ae66b3092f5 · outbound

This paper cites Madaan et al.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Madaan et al

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:39.552926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568a948d-02c9-4c5e-84af-b4629bbce25d · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM Agents Constitutional AI: Harmlessness from AI Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:50:39.755036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.