Paper Citation Record · LEDGER

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2504.19333.

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

pith.paper-citation-record.v1
2504.19333 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:00:23.952403Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

verified exact0
verified fuzzy2
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3df58c38-8eb6-48f4-bf73-08e9682129a5 · outbound

This paper cites Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.862503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8752b8-dae6-4fad-93aa-06a684648f2b · outbound

This paper cites COLD: A Benchmark for Chinese Offensive Language Detection.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing COLD: A Benchmark for Chinese Offensive Language Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.867874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32443bf3-e43f-427a-b4ac-680816f81556 · outbound

This paper cites Editing Models with Task Arithmetic.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Editing Models with Task Arithmetic

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.883875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36b388d-c54a-40c3-8e6f-fb8ce057865f · outbound

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

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.889544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc7623c-1d06-4b4a-981f-d2ef55405bd1 · outbound

This paper cites Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.894731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eade8bbf-d55c-435f-b5f4-2234a672d551 · outbound

This paper cites Dataless Knowledge Fusion by Merging Weights of Language Models.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Dataless Knowledge Fusion by Merging Weights of Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.899382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc7e57a3-1e0a-4af9-bf72-6eda56d6263f · outbound

This paper cites ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.903994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c260cfb5-bc3e-4afc-bc24-9a2b480215e5 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.908706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def71c45-7082-45a1-b593-8e9428168a5f · outbound

This paper cites Accessed: 2024-08-17.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Accessed: 2024-08-17

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:24.275479Z

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.

Observation 8ee93ba8-429e-4e69-b314-962e10bf93a9 · outbound

This paper cites GPT-4 Technical Report.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.922780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation 5265f050-71ce-40d1-8a2e-f6d252ca3b67 · outbound

This paper cites Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.937388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f275c91-36c7-4d68-83a7-cec8d50ee039 · outbound

This paper cites Sampling Generative Networks.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Sampling Generative Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.947594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23735345-7d8c-4763-bd71-b93ed6809af0 · outbound

This paper cites LM-Cocktail: Resilient Tuning of Language Models via Model Merging.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing LM-Cocktail: Resilient Tuning of Language Models via Model Merging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.952403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff7dcd4-c924-4361-9baa-8819c010a11e · outbound

This paper cites Primeguard: Safe and helpful llms through tuning-free routing.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Primeguard: Safe and helpful llms through tuning-free routing

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:00:24.291950Z

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.

Observation 1e2d4b5c-4e60-4341-9a1c-7b87eda8b4bc · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Multilingual E5 Text Embeddings: A Technical Report

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.942772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc261b1b-ca0f-4c9f-81ab-c6d2fb0c1bf6 · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.927806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c374fa97-4495-4e8c-8d0c-662716e230c4 · outbound

This paper cites The Llama 3 Herd of Models.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing The Llama 3 Herd of Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.873419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 816e993b-776b-427f-9771-d4fff60e4fa9 · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Evolutionary Optimization of Model Merging Recipes

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.856828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a37a7c-027f-4957-9b31-ce521c91672a · outbound

This paper cites AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts.

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T06:00:23.878320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.