Paper Citation Record · LEDGER

Customize Multi-modal RAI Guardrails with Precedent-based predictions

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.20503.

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

pith.paper-citation-record.v1
2507.20503 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:15.429403Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy6
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 931fe640-fd31-45bf-bb7a-4aa86f238ca4 · outbound

This paper cites GPT-4 Technical Report.

Customize Multi-modal RAI Guardrails with Precedent-based predictions GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.325779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42282e5-2b81-4a4f-a8b6-a1614dabe499 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.342120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aaac49a-e311-4a86-ac6a-960a3ff0ca53 · outbound

This paper cites While the second part was provided by the original UnsafeBench (Qu et al.,.

Customize Multi-modal RAI Guardrails with Precedent-based predictions While the second part was provided by the original UnsafeBench (Qu et al.,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.882869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71393568-2566-40bc-bd33-0bd89518c80c · outbound

This paper cites ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.

Customize Multi-modal RAI Guardrails with Precedent-based predictions ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.356132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce53aaf8-3416-4ba8-9619-42b92029e180 · outbound

This paper cites MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.360996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b2875f-5d3e-40d2-a399-82e38492adb2 · outbound

This paper cites In-Contextual Gender Bias Suppression for Large Language Models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions In-Contextual Gender Bias Suppression for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.365270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3e06d7-37fe-46ee-ac81-4d7f51ef3989 · outbound

This paper cites Openai content policy.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Openai content policy

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-15T17:47:15.704831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ddd999a6-77de-4a9a-a7e1-29fcca03605c · outbound

This paper cites UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images.

Customize Multi-modal RAI Guardrails with Precedent-based predictions UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.378242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5c6708-f482-4cbc-b8ab-7409e6164b6c · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Red-Teaming the Stable Diffusion Safety Filter

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.383078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3e456f-ea6a-4d0a-8cda-dfa188a8983e · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Customize Multi-modal RAI Guardrails with Precedent-based predictions LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.392967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8c8e90-6eb3-4e3b-8b1a-518f1a939266 · outbound

This paper cites Challenges in Detoxifying Language Models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Challenges in Detoxifying Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.398133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e771bf5-d6a0-4f15-9c4f-ddc64085d11f · outbound

This paper cites Not only look, but also listen: Learning multimodal violence detection under weak supervision.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Not only look, but also listen: Learning multimodal violence detection under weak supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.931501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77c7fc45-f493-494f-aea5-1a5acc9c943b · outbound

This paper cites We also report the hyperparameters used throughout the experiment for both ours and baseline methods.

Customize Multi-modal RAI Guardrails with Precedent-based predictions We also report the hyperparameters used throughout the experiment for both ours and baseline methods

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.915342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 652f3344-819d-4a5c-b73c-f747dbc2b4ad · outbound

This paper cites The original implementation of MultiHeaded employs separate classification heads for each RAI policy.

Customize Multi-modal RAI Guardrails with Precedent-based predictions The original implementation of MultiHeaded employs separate classification heads for each RAI policy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.899170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d55c4feb-afce-452a-ab6b-5481293f28ba · outbound

This paper cites 3 Published as a conference paper at COLM 2025 No.

Customize Multi-modal RAI Guardrails with Precedent-based predictions 3 Published as a conference paper at COLM 2025 No

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.867560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 364f7b0a-4929-442d-a216-74671ee1ae6d · outbound

This paper cites an unresolved cited work.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:47:15.949054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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

This paper cites Building Guardrails for Large Language Models.

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

Reference 2018

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5060cfa-073b-4af0-9136-8457f45b13ba · outbound

This paper cites Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:47:15.965104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8db4de8-1879-418a-a737-f02fc98d200d · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Customize Multi-modal RAI Guardrails with Precedent-based predictions SGLang: Efficient Execution of Structured Language Model Programs

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.408564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bcd60c-9bfb-4279-9479-53a9f49531fc · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.351560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc8a9ca-13f2-4141-b639-2a3f71ada4da · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Constitutional AI: Harmlessness from AI Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.331056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855c43f6-0f03-470f-978c-1c027e401be1 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Customize Multi-modal RAI Guardrails with Precedent-based predictions LoRA: Low-Rank Adaptation of Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.347178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.