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Paper Citation Record · LEDGER

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2504.18580.

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

pith.paper-citation-record.v1
2504.18580 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:34.119606Z

measured 23 of 23 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

23 of 23 outbound references displayed

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  • unresolved21
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5860b02-7db9-4f78-9f27-eb780f683c95 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.023237Z digest=sha256:6354af35059327ad6bfd436301b23147bf7066d61a1614c8cf0ae6c3dc0e20e3

Observation e60bff05-2974-4a1b-b911-7ab1a367e151 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 2

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source=arxiv_source observed=2026-08-16T11:08:33.149938Z digest=sha256:e57b4e0378fe041e1518247f37ce0482e13d8724787f56b1a6d8161f206bf6b3

Observation 18013c09-698e-4da4-80f7-4b9886f44280 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T11:08:34.692962Z

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=2026-08-16T11:08:33.166755Z digest=sha256:4d87123414ec5b91e05174e2aeb2dc95944fc0314c6987748a841e68a5efb7e3

Observation 507c2cf2-7aba-448a-ad39-7c658b58ffb9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Training Compute-Optimal Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-16T11:08:33.172935Z digest=sha256:1dee92bac1c7d3eef7b0c1bf6c711b7318a434506259964820821272130a0e8e

Observation f3cea4ae-beaa-487f-a929-1356cb85877a · outbound

This paper cites Merging Models with Fisher-Weighted Averaging.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Merging Models with Fisher-Weighted Averaging

Reference 5

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source=arxiv_source observed=2026-08-16T11:08:33.239771Z digest=sha256:a7f9183b4a5c77723db81c0f0b418d1b5abc584f8b9a88c1e775f142bb01959c

Observation 7f558868-cae4-4071-a943-ab642daef82d · outbound

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

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.349679Z digest=sha256:4b653ed8d52ebc8d9a74527bb9422d52e6b47c5aaca876ee30b21af490f090e1

Observation aea9cb8c-3742-4dc1-87a2-5cfabd085bf9 · outbound

This paper cites Editing models with task arithmetic.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Editing models with task arithmetic

Reference 7

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source=arxiv_source observed=2026-08-16T11:08:33.355692Z digest=sha256:bf459690144db765f1328f347b183a8883a3ebb5bb844b890b1e6e423c63a030

Observation 0d851911-87b9-4c8d-97b1-5cff93249ce0 · outbound

This paper cites Checkpoint Merging via Bayesian Optimization in LLM Pretraining.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Checkpoint Merging via Bayesian Optimization in LLM Pretraining

Reference 8

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source=arxiv_source observed=2026-08-16T11:08:33.360972Z digest=sha256:66302e163eaeb07c73b2fb4e27b52a77fe77a5548eea5792a214201cca059218

Observation 37847fbc-de95-4241-ae4c-6a7481d45f3f · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 9

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source=arxiv_source observed=2026-08-16T11:08:33.457953Z digest=sha256:2c463c0c393c122e6f40a04926b5cb965f4cb80de72cabf8c9092964ec02ed61

Observation 93dd9090-1112-4084-9b98-755b3af1d91f · outbound

This paper cites D o RA : Weight-decomposed low-rank adaptation.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging D o RA : Weight-decomposed low-rank adaptation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:34.595268Z

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=2026-08-16T11:08:33.464897Z digest=sha256:d563fde1425bc6937a45c3f50c6ff85a4b9c53987f11a9387c6c2897c12abb05

Observation 0a669d67-6568-4b64-9d7a-a16d5e3766ca · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging QLoRA: Efficient Finetuning of Quantized LLMs

Reference 11

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source=arxiv_source observed=2026-08-16T11:08:33.470849Z digest=sha256:f85ad98e005e3d2fffa90f30818101836dc06d408def5999ecc1ddce1af9ba4c

Observation e608c803-f81c-433f-aeb3-9df50b5c393c · outbound

This paper cites Instruction Tuning for Large Language Models : A Survey , March 2024.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Instruction Tuning for Large Language Models : A Survey , March 2024

Reference 12

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no resolver link, observed 2026-08-16T11:08:33.550262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.550262Z digest=sha256:afd08f52d4eda4c1a4c0cac7c05b3f73d077e6f9b5b63eeaa5ca7aa751d2aa6b

Observation a3ab10ac-f381-42a0-9f3a-b2659842781f · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 13

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source=arxiv_source observed=2026-08-16T11:08:33.628621Z digest=sha256:4c5ce2b408ae15a122f837229240efbd6cb8a0cca00d0b7ebbe17c9d214a9a52

Observation 45fa7540-30dd-4905-a29e-110b67cda58b · outbound

This paper cites Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models

Reference 14

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source=arxiv_source observed=2026-08-16T11:08:33.686370Z digest=sha256:b669361392850406651f5e5a9a48f9609abf861521f7559c595e7d0ee9fc4760

Observation 27ed8cfa-98bb-46fb-9a5b-949514c4f9b7 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Gemma: Open Models Based on Gemini Research and Technology

Reference 15

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source=arxiv_source observed=2026-08-16T11:08:33.694147Z digest=sha256:b79fe8f1be3c4f548ad3a325cbf5d102e27ee286de35597791ac547dbc1153ba

Observation c398728c-91bd-41c9-899c-6af7ec514993 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 16

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source=arxiv_source observed=2026-08-16T11:08:33.699233Z digest=sha256:ffbc1414d4bf8cdbb54febef7a3c61f3b8db681a1104245a67c8826625485326

Observation 723cea49-6100-4c78-bf88-f90c35bb931d · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 17

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source=arxiv_source observed=2026-08-16T11:08:33.705313Z digest=sha256:f40d260ee70beb0fff0aea582773c02f074a804db3ee10cd010d31a0d0d5b3d6

Observation bd8ada7b-e0db-4eda-a1dd-7aa0d32f10b5 · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 18

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source=arxiv_source observed=2026-08-16T11:08:33.779775Z digest=sha256:2a1264fcef74567a1019e85f4b2cc858d64f6a63735e7396b31fd18bcee01a75

Observation 9ceef7f9-f054-4137-98ac-c3cafd74c7f6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging Training Verifiers to Solve Math Word Problems

Reference 19

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source=arxiv_source observed=2026-08-16T11:08:33.861704Z digest=sha256:55d6969ebfea9d9443c70188f2d408b812839260a56cb397198edb072fbe7a70

Observation f61b2e55-0f0b-44bd-97d7-20c10f3e7ed0 · outbound

This paper cites GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Reference 20

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source=arxiv_source observed=2026-08-16T11:08:33.867719Z digest=sha256:223f62add939612c969e6384adb193aaeca418c96e6f6bba467f9840d5aa6a97

Observation 93eaebe5-4638-4aee-adf5-0fa46a3dcdce · outbound

This paper cites ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Reference 21

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source=arxiv_source observed=2026-08-16T11:08:33.943548Z digest=sha256:00f5526ceb6ca5d29bcf28a4dc64b7092c765d257a7a7b6ec52286f4e5938e86

Observation baed840f-6caf-409e-8586-06591305abac · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 22

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source=arxiv_source observed=2026-08-16T11:08:34.014620Z digest=sha256:5ee3f398d0c4e9c480130f78fd365176ef9fafe9bda4a6bbb6bbb9a365c1a92b

Observation c294cd32-c971-4ceb-bf3a-e0ef08655f91 · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging TIES-Merging: Resolving Interference When Merging Models

Reference 23

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source=arxiv_source observed=2026-08-16T11:08:34.119606Z digest=sha256:741df438743b5cea14a6b62664cff939ac1ec7701b338036d27d9127294076b3

Pith citing papers

No inbound Pith citation observations are available.