Paper Citation Record · LEDGER

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.11997.

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

pith.paper-citation-record.v1
2607.11997 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:50:47.352443Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b796874c-4845-4b22-9b05-eac8c00850f0 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.016497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6b27ab-4c0b-4105-930e-40b89b306940 · outbound

This paper cites an unresolved cited work.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.370017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff15ddd1-6727-4afc-9872-ad964480fa97 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Magicoder: Empowering Code Generation with OSS-Instruct

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.625517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad042f7-cf7b-46d1-a0e7-99a4b7bfdea5 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.683366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b253a7f-37f8-451d-89b1-9d2b02ed5a58 · outbound

This paper cites Post-Hoc Reversal: Are We Selecting Models Prematurely?.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Post-Hoc Reversal: Are We Selecting Models Prematurely?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.761806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d29d39-3815-471e-8ad2-1ef6ea2147a0 · outbound

This paper cites (How) Learning Rates Regulate Catastrophic Overtraining.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs (How) Learning Rates Regulate Catastrophic Overtraining

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.840290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b57ed0-044b-42d7-806c-9cbbd301789c · outbound

This paper cites Leveraging model soups to classify ICH images from the Mekong Delta.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Leveraging model soups to classify ICH images from the Mekong Delta

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:47.120762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de66465-e2a7-4063-a89f-5846ecb6dd93 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:47.198790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde66761-ade0-403c-a483-fde4b3d1c713 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Instruction-Following Evaluation for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:47.289943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7acefc7-7e31-4ac9-95ac-98600eebf8fc · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Evaluating Large Language Models Trained on Code

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.150392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f676bb-151d-4718-a2ea-a6e969067fd2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Training Verifiers to Solve Math Word Problems

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.312944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d98251-a298-41ae-8a2f-6cb8f1d6fd65 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.228734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4101ca-5d6a-44de-a051-72d67ac4bfcb · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.535520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4133b9af-05ba-4708-8dc4-b794ed0739a3 · outbound

This paper cites ATM: Improving Model Merging by Alternating Tuning and Merging.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs ATM: Improving Model Merging by Alternating Tuning and Merging

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:47.352443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3a490e-7255-444f-8403-9996ce34ccee · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Small Language Models are the Future of Agentic AI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.076212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 295c6de6-2825-41f3-a601-d3454334ba90 · outbound

This paper cites From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.438907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0052134-c04b-455f-9403-6e5c415f3c8c · outbound

This paper cites Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T06:50:46.973903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.