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Paper Citation Record · LEDGER

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging

As of 17 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 2026-08-16T06:30:59.297886+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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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.023237Z digest=sha256:6444fca99315630ca2a99570bd19444b9e2795a2ff5bfec3353b8def5b7c996d

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=sha256:7549b8691947c06a484c99a7a7b53997f0e7da81fe7eaa93d4678a77ec2cbc6f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T11:08:33.166755Z digest=sha256:932e7120d9f99d5c80dee14e3d511ad7b4d1624c42d56498a23e4f432a4395cf

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-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:08:33.172935Z digest=sha256:d2beb9893657498e5a2cc5ed24d2899c6273107c9cce5e620811571a44d950a2

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=sha256:68cc791d29ba218aee3765b70605cc17f4fe686acd2ac8c3a5d60b315d5a98d5

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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source=arxiv_source observed=2026-08-16T11:08:33.349679Z digest=sha256:b140b7804d1eba9e85249cb585df1586f35de9746ab1c2fb6effe8d1965f7aa6

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=sha256:87df9a77de31857a9e7e5e94b885ca1ed32096390fa4ed422d040166de5175ff

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.360972Z digest=sha256:9854c5b315efcea19ff1ee507ebe8b676445fe48f11383c3fc0ba218f383fa76

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=sha256:624e0f5959a2d98059fa07e6a7fe3eb181a948339be216e6a0eeeecb5adb1548

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T11:08:33.464897Z digest=sha256:7bd016f6ae7f10a98e3aaa6cb601221d2ad022cea058d5564e971a81da2cc5ba

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=sha256:5f0b1968e10202ab14edd457e505c5bd375b32547f366a9e637ff1cccc6ca197

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=sha256:3ae2662c611cd2e7164079d45df69065a743e28d27dbcddab607b352012f6928

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=sha256:2da505edcdeaccf4bc9d00c4e989eee442c6916c1d9fefd73437afdeb7054ec3

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=sha256:90887683c5be8e13a3e676852e2951e1ea04208650619c2b34f0d9677883593e

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=sha256:34a8c8e2378abc3f1609b6dd4fe3e5f20f233cf7205dcc64f33b7d72828134ca

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:08:33.699233Z digest=sha256:ce507af6574880a8ee416428f78047c0d50c8f81eb29a11447a4da110f72eb87

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=sha256:124e8d8f4de936b7b9685ca43abdc18298b8c6ba072221206b14e44ba5b5ad8b

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=sha256:6139e02c2dec52a02f15fcf1f6a7abaa941fce1b766ee34a9157e03c4e43d122

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=sha256:1e7cb5002c64ad2487fc3f77df89f36211d272202e7858675c0e1b8984402e52

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=sha256:5906b08f2746e3a3f1a9308fc04e8b3e37964c6d1f0d1fa933d56a232ea95b4c

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=sha256:7f1cdcb45348750522cdcff3d6c1c4f0a1ee638d4738b02403f4c697cf8805bf

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:a364f44c0b695d33ae2616e8d9fed746c0caf4d79a4d25c4a9aab0379909f423

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=sha256:42a80dc5d09630d174f4e5d72a97beeedd19036f1a1a894e4af5b7b1736ea7c1

Pith citing papers

No inbound Pith citation observations are available.