Paper Citation Record · LEDGER

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2406.11617.

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

pith.paper-citation-record.v1
2406.11617 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:15.628059Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52296439-ced0-4ea1-80fa-0a234bf53fe7 · inbound

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

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:04.649721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6e315742-f885-4ebd-a0a7-debd6242014e · inbound

SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation cites this paper.

SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:10:31.432460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4cfde2ae-00b6-4b52-9abb-40cd57cb32ea · inbound

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs cites this paper.

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:15.628059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9745ec-3737-4354-bb29-d9b6f431938f · inbound

Composable Cross-prompt Essay Scoring by Merging Models cites this paper.

Composable Cross-prompt Essay Scoring by Merging Models DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:43.039078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b8ca49-82e1-44e6-96e1-bcd6d9cfcfbc · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:14.350555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0295ef78-2b82-4d7b-b1fc-64e0c0ea7739 · inbound

Training-free LLM Merging for Multi-task Learning cites this paper.

Training-free LLM Merging for Multi-task Learning DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:41.483804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b201c2-f241-410b-a147-5ad8bb060f26 · inbound

PSO-Merging: Merging Models Based on Particle Swarm Optimization cites this paper.

PSO-Merging: Merging Models Based on Particle Swarm Optimization DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T15:30:25.117923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0556182-6d05-41b7-99fa-ece8b5e90840 · inbound

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging cites this paper.

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:34.709324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8954db99-d811-4905-ad5b-6dd53c3597c9 · inbound

AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging cites this paper.

AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:21:21.665899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e4b806c-d56b-45be-bf24-fb18da933b2e · inbound

AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging cites this paper.

AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-03T17:25:18.902604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e322101d-f783-438b-8de3-412ef00d93c3 · inbound

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation cites this paper.

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:00:10.106754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91243d56-af45-46bb-a7f0-76de70771627 · inbound

Can Heterogeneous Language Models Be Fused? cites this paper.

Can Heterogeneous Language Models Be Fused? DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:00:02.137910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6941ca31-e571-41d5-9742-2a523d49456a · inbound

Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data cites this paper.

Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:11:25.605330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9cebd204-fb8e-4874-91fd-0382f89402df · inbound

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:42:48.100180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f837519a-1da6-433c-bd53-bd328a6b8db5 · inbound

Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies cites this paper.

Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:43:26.796115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ea17c5f-6c1f-4af4-8c6e-e2951772d0d8 · inbound

RogueMerge: Robust and Unified Attacks against LLM Model Merging cites this paper.

RogueMerge: Robust and Unified Attacks against LLM Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:28.940387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a71029e4-7998-4c42-9e49-c3a61cdc96a4 · inbound

When Model Merging Breaks Routing: Training-Free Calibration for MoE cites this paper.

When Model Merging Breaks Routing: Training-Free Calibration for MoE DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.375546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91adc912-6725-48b1-9d61-67f4fe0f211c · inbound

DLLG: Dynamic Logit-Level Gating of LLM Experts cites this paper.

DLLG: Dynamic Logit-Level Gating of LLM Experts DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:45.089913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c309a197-08b3-42d7-bb01-37304935bd97 · inbound

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging cites this paper.

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:38:05.622458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 066f0bc2-4837-4c90-a00d-0e00114b84ab · inbound

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:17.701863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 929c7c31-cbe1-40ae-9177-ae8b1cf2c6c5 · inbound

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance cites this paper.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:31.966660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.