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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:08:37.711730Z

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

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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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:b79b3cdb0b4456caa29029ba5e17538b5cb2df2687f5891bf742a7f140eae387

Observation 12fd938c-9a93-43e8-bd0e-cba9fd437180 · inbound

FREE-Merging: Fourier Transform for Efficient Model Merging cites this paper.

FREE-Merging: Fourier Transform for Efficient Model Merging DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 8

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no resolver link, observed 2026-08-12T13:08:37.711730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:08:37.711730Z digest=sha256:291dd3e76cbce7efefc65a4bac42f7d59ff044f6068c37ed46fd4f926aefe001

Observation d4719ef9-43ce-4963-80c1-860d83c4b6a6 · inbound

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks cites this paper.

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 23

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no resolver link, observed 2026-08-11T20:23:28.488654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:28.488654Z digest=sha256:7b8d65b2dd9b289406411d9bf74e99d6d501a82f0ff7856fc47b9b600394d052

Observation 9e3eeddf-4106-4bd6-8709-5bfadbf020d2 · inbound

How to Merge Your Multimodal Models Over Time? cites this paper.

How to Merge Your Multimodal Models Over Time? DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:42.995459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:24:42.995459Z digest=sha256:c5b4a8d2dedde37cf774824404f664399bcf53b3100a60df956815914c45446e

Observation a64e96ea-2383-4421-981b-1f5701fa8642 · inbound

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning cites this paper.

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 8

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unresolved
no resolver link, observed 2026-08-11T14:06:48.093168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:06:48.093168Z digest=sha256:d15c19215732ce44533b4cd1607e925daebeedcee1d969e14287e696a37b26d9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-25T08:07:09.574681Z digest=sha256:3e4cdc255476924627481e723bda495e5b66bf139b2173ef466380f1eeb329e2

Observation 40ccd21a-15f7-416a-a43f-ac3b038c014e · inbound

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation cites this paper.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 6

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no resolver link, observed 2026-08-11T15:25:11.016116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:25:11.016116Z digest=sha256:5819614824a9e8326fe1bd99addf6646b517e5ac10b0eb31aa152cfdafd3eec1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:15.628059Z digest=sha256:1c2409de4fb88d27155acc0da249511dd116c640163ffccec3db3f88f97771d0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:43.039078Z digest=sha256:f19293c31c77e378405882b8fec03afea657885e814e1369899c6b58629910fb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:14.350555Z digest=sha256:00cbf0c43b0bacc991c2f0ca310953f5dcd8c0a463bcdfe3e8a42e84e63f9617

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:59:41.483804Z digest=sha256:3b8db757bbd8a0e15f3fe81f268549f74456ae8ef46b35d58780028b88398cb1

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.

source=pdf_text observed=2026-08-05T15:30:25.117923Z digest=sha256:af6027fdd6be5ed3f2f947f76d1ec59541c3e0c52aece6cc4a8145d3ff04f296

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.

source=arxiv_source observed=2026-08-04T09:08:34.709324Z digest=sha256:f44cdeb654a501f936cc18f50491130660d60165060c5707b4847df72034e207

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T23:18:40.701678Z digest=sha256:10011624081031c6e49636aee50198ff42d063d869a8030d6802b97da16d245b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:25:18.902604Z digest=sha256:cf918398b9a8a51c0b8db37c0ca6097e78d7f63ec57b1db5d5579780107ea003

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T16:58:36.575824Z digest=sha256:52b2fc1e6b641da6f2821149f703462181a03d5d23a1192ae4076d70b39f2706

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T10:57:01.529364Z digest=sha256:128b77d33654f4592cfee14ae17c75c7e2e6e135d2817826872782cd348a7960

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T12:41:15.373340Z digest=sha256:e27a2e2a58737f17f0ff276771047cae8b968e67f499b8b9f3ab8b8f912e04fd

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-19T21:37:56.570173Z digest=sha256:0c157715d89f2e01fe470cbbd37bc4c6d64eb261b1c0ba85df998a724745273e

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T15:43:18.380424Z digest=sha256:4450e56840e4085f0271c2205eb68df494637b7916c7e089feafbcc1e34311e5

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T10:05:10.309553Z digest=sha256:eab8f94f576a91b69d97ee5c5ecedab2f64685eff09b38b00e5a218f1febbebb

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T11:47:22.486110Z digest=sha256:961531eb6cc3f9a8ba769be25ec73b4ba3f42e0668155b1e6963dc4225601737

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T06:50:32.988192Z digest=sha256:102d0902e4983d8249b0603ee414ea6c654f07c37e52ec5ad36da8977b907343

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T09:24:00.948230Z digest=sha256:040dd8faafe01fb3f240feecaae18505c703571023550f499f3640f564616f3b

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T21:01:04.043286Z digest=sha256:4cad156e47602532eeed9794495d51ff8d84df04c8e112db5b6d23977aa071a8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:31.966660Z digest=sha256:82f6fe4c5d2bcdd8ccb8aaae5fc15571ead72bc93fa7c91ce6934a19e12c6fa9