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Paper Citation Record · LEDGER

TIES-Merging: Resolving Interference When Merging Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2306.01708.

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

pith.paper-citation-record.v1
2306.01708 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 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 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.886549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.311517Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6429dc0b-6a57-4882-b451-55182ee5fb1a · inbound

Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion cites this paper.

Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion TIES-Merging: Resolving Interference When Merging Models

Reference 47

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no resolver link, observed 2026-08-12T04:35:52.432601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:35:52.432601Z digest=sha256:b93c19d11a6fd87296473156e13a2260c40806c195bdfb21d647d3a565abf5f3

Observation 55124cc9-bf4f-474e-9661-88b5aa272d09 · inbound

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning cites this paper.

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning TIES-Merging: Resolving Interference When Merging Models

Reference 16

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no resolver link, observed 2026-08-11T22:26:57.672013Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:26:57.672013Z digest=sha256:f7e251bfb64c42fe0eb520ee31dcfffba19cbdb1f9bb9771affbd17c5a2957fb

Observation 4204cd33-96a5-4731-9992-c13e5b7659e2 · inbound

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier cites this paper.

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier TIES-Merging: Resolving Interference When Merging Models

Reference 36

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no resolver link, observed 2026-08-11T21:38:38.158634Z

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source=pdf_text observed=2026-08-11T21:38:38.158634Z digest=sha256:2d75bd4d38ea7cb14869fd3869ce6439b985984a0bc8b637f57e331cc83d9dbd

Observation 87479ac5-a2a8-4f4c-98e8-bb17e4b2f9f6 · inbound

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging cites this paper.

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 47

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no resolver link, observed 2026-08-10T20:03:11.239191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:11.239191Z digest=sha256:5f40e7b221bdd5b1e7f2e39688a1498cdbdbcf4502406355855d4166353c7451

Observation e5057a9d-19fe-4934-b50a-ddccd1d44001 · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch TIES-Merging: Resolving Interference When Merging Models

Reference 52

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no resolver link, observed 2026-08-09T23:17:19.884439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:17:19.884439Z digest=sha256:2228c88fcc5d4225e4335605b71e5ae8aa99a3d7f9731d750ac951b377370f03

Observation 3f0e60fa-44d7-4e63-a508-e0d1f55b675d · inbound

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging cites this paper.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 59

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no resolver link, observed 2026-08-16T12:40:25.886549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.886549Z digest=sha256:7c3d87992eb69b8406882721193cb3dd957d338b77772f1592a268d15c41e452

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

Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging cites this paper.

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

Reference 23

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no resolver link, observed 2026-08-16T11:08:34.119606Z

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Unavailable: canonical work link unavailable.

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

Observation 7dbd4768-6147-43e1-b2b3-1d3be6165d2c · inbound

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation cites this paper.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation TIES-Merging: Resolving Interference When Merging Models

Reference 52

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no resolver link, observed 2026-08-16T05:24:45.023993Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:24:45.023993Z digest=sha256:e8128cacd2f2b1cdeb8189874dd26904dd2f18ea43944fdc1400c06518dfdd64

Observation af1a6113-eece-40da-b6f9-bc89d3358090 · inbound

The Aloe Family Recipe for Open and Specialized Healthcare LLMs cites this paper.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs TIES-Merging: Resolving Interference When Merging Models

Reference 55

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source=pdf_text observed=2026-08-15T23:36:29.974233Z digest=sha256:95154f8374a78c606fcba507917f77c55bbd55c8f548f88f94104964f6f26231

Observation 90bcabaa-a40b-4ee2-80a9-1e0eaeb73d1f · inbound

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration cites this paper.

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration TIES-Merging: Resolving Interference When Merging Models

Reference 28

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source=pdf_text observed=2026-08-15T22:45:12.238873Z digest=sha256:6e088e7bf02f00242f01fd4fc49557b9ded926c60df44be0672b614619d70540

Observation 4f9a4066-6483-42c9-ae51-cb3ea5a270c7 · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions TIES-Merging: Resolving Interference When Merging Models

Reference 92

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source=pdf_text observed=2026-08-07T11:10:17.134572Z digest=sha256:2a0597f3aeb46537a7637ef1fe640d984f837f079c21bedd65cd93941b0a11fd

Observation b2e3f8ca-f941-44e3-aa8b-fc336d3312d8 · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts TIES-Merging: Resolving Interference When Merging Models

Reference 41

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source=arxiv_source observed=2026-08-06T19:07:37.170618Z digest=sha256:318469a013a230b73c61fca34aa7ca1d99720c53eab8bc7e1930dad983da9f87

Observation 0b5e8ceb-46a3-4688-9858-41b8c4b4d0c1 · inbound

Overcoming the Communication-Performance Tradeoff in LLM Pretraining cites this paper.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining TIES-Merging: Resolving Interference When Merging Models

Reference 32

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source=pdf_text observed=2026-08-05T17:50:42.846515Z digest=sha256:82d899f25c72f17fedbfef1c322095c04302b25f082a6508ef13bfb866be698e

Observation 119e2cbc-8a9d-4b6a-a2dc-6b489b2900c9 · inbound

Competition and Attraction Improve Model Fusion cites this paper.

Competition and Attraction Improve Model Fusion TIES-Merging: Resolving Interference When Merging Models

Reference 32

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source=pdf_text observed=2026-08-05T17:32:11.928281Z digest=sha256:dbb53d147de06c052361c364493620d412f04437d3e35d0ec5fbb087a93497c5

Observation 429aa17d-dfab-4706-9b88-78e6d0d8dc49 · inbound

DivMerge: A divergence-based model merging method for multi-tasking cites this paper.

DivMerge: A divergence-based model merging method for multi-tasking TIES-Merging: Resolving Interference When Merging Models

Reference 53

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no resolver link, observed 2026-08-05T11:59:12.548792Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:59:12.548792Z digest=sha256:a67736867bb129841a79a90f75d04904d2984514bec7a0713289fb24cee90953

Observation 2a5b647f-e273-4dd5-89ab-d881efb971b5 · inbound

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT cites this paper.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT TIES-Merging: Resolving Interference When Merging Models

Reference 40

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no resolver link, observed 2026-08-04T14:50:31.065384Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.065384Z digest=sha256:a8f5b59ac1e36bbbdceb14b9f3b81e725723db953732979d4ca44aa5e4a6d8b7

Observation b8b93e9b-af63-4b7d-818c-064d3641b221 · inbound

Zero-Shot Synthetic-to-Real Handwritten Text Recognition via Task Analogies cites this paper.

Zero-Shot Synthetic-to-Real Handwritten Text Recognition via Task Analogies TIES-Merging: Resolving Interference When Merging Models

Reference 75

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verified exact
arxiv_id, observed 2026-05-11T00:20:52.038568Z

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.

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Observation 5c7b38cb-12c9-4564-ab41-c32015845da7 · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts TIES-Merging: Resolving Interference When Merging Models

Reference 45

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arxiv_id, observed 2026-05-10T05:56:11.350546Z

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=2026-05-10T05:52:28.822723Z digest=sha256:66211c0662f61f886f54b0656fbab6a7b1418645b02891e46b0a3c155ae73d4e

Observation 35de825e-6159-4dff-851e-931b8be93de3 · inbound

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging cites this paper.

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-13T03:52:12.515626Z

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=pdf_text observed=2026-05-13T03:51:25.888170Z digest=sha256:cab283fa95fda7a22182cb5cc6c6eda0b615b34e126cd9903ef1ad1dd0bae93d

Observation db18e473-4b63-4b40-bae3-43e5362ffc17 · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective TIES-Merging: Resolving Interference When Merging Models

Reference 19

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arxiv_id, observed 2026-05-20T07:38:09.347342Z

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=pdf_text observed=2026-05-20T07:36:04.114811Z digest=sha256:0e637d67cb56dc79c9500f867e321d7370433181bff426ab7216aa694958cc34

Observation cb8edbc6-3668-4fdd-87b9-cb4d26edaef0 · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective TIES-Merging: Resolving Interference When Merging Models

Reference 19

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arxiv_id, observed 2026-05-21T08:34:05.534028Z

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=pdf_text observed=2026-05-21T08:32:04.249711Z digest=sha256:a7f0e2830c94c2e2b40d295cfba2ac98e53c8b2375bb278cf74673c347b2c0ce

Observation e621feb3-be23-4e93-a6d8-364ef462b158 · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective TIES-Merging: Resolving Interference When Merging Models

Reference 19

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arxiv_id, observed 2026-06-30T18:04:58.463876Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T17:55:17.067856Z digest=sha256:2d8ac5eae20197aa9190573062caa9147172a0a21752999e4fa890d3d132490c

Observation 512a7c4c-9394-4976-867b-9bf69a94b144 · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining TIES-Merging: Resolving Interference When Merging Models

Reference 15

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arxiv_id, observed 2026-05-21T07:49:49.873585Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T07:49:13.043266Z digest=sha256:9502c2e14afa2503a742bc5db92faaf8b8f0a16a882abd7a2c7508952a83c739

Observation f029536e-4c98-48cb-adcd-da8121627aa6 · inbound

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations cites this paper.

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations TIES-Merging: Resolving Interference When Merging Models

Reference 22

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arxiv_id, observed 2026-07-03T04:27:37.328979Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T13:51:39.893972Z digest=sha256:8e3e424d94b0fb223c40e2efd36bbe46c346ee4495347d960fd15d1297f8b612

Observation 2a67b6d1-0c30-415d-b7b1-1cdf1ec007c6 · inbound

Spectral Rewiring for Exploration, Purification, and Model Merging cites this paper.

Spectral Rewiring for Exploration, Purification, and Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 10

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source=pdf_text observed=2026-07-12T05:08:55.438431Z digest=sha256:fccd28339f20a811889eb75942a4c8f520a456c792f4227d7bc9d0aca9f8d348

Observation a4104e98-cf09-41b9-bec8-672f645950bd · inbound

modelDNA: Calibrated Lineage Verification and Merge Decomposition from Sampled Weight Fingerprints cites this paper.

modelDNA: Calibrated Lineage Verification and Merge Decomposition from Sampled Weight Fingerprints TIES-Merging: Resolving Interference When Merging Models

Reference 15

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source=pdf_text observed=2026-07-14T10:27:28.207221Z digest=sha256:921ed4b476a69c68746dd4ac4d3e96e17378843d5d7072f4d862c4530b1465b2

Observation 79b7410a-27b3-42f9-925e-717771ed7219 · inbound

DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation cites this paper.

DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation TIES-Merging: Resolving Interference When Merging Models

Reference 28

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no resolver link, observed 2026-08-02T03:14:02.658626Z

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source=arxiv_source observed=2026-08-02T03:14:02.658626Z digest=sha256:6d46a5269e765b2783347540da61398b2cd840350a5fc94689e6f1269895d4a9

Observation 6ddf3a2a-8309-4733-85fc-5d6e30040180 · inbound

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers cites this paper.

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers TIES-Merging: Resolving Interference When Merging Models

Reference 49

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source=pdf_text observed=2026-08-01T19:55:54.061837Z digest=sha256:8a02f1b963d32a2f92b21ab2c3fc0f81e87913380474cba3c3f5ebae54707620

Observation 9b7cc181-49f9-4500-ba5a-dae372b26e07 · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective TIES-Merging: Resolving Interference When Merging Models

Reference 53

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source=arxiv_source observed=2026-08-01T16:24:21.670631Z digest=sha256:505e05ab17a3fe929093b8cf279e8fe50de2373eabf226f52e9314b5b043950e

Observation 81e4ad5b-cc14-4cba-b72e-b241911b25d7 · inbound

Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction cites this paper.

Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction TIES-Merging: Resolving Interference When Merging Models

Reference 18

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source=pdf_text observed=2026-08-01T13:53:45.500081Z digest=sha256:e98675af137deb6273138e5b295a579efa6b9992133a9e2c1973d51d76085c5e

Observation 5bb57127-97fd-47f5-9cf2-52e3235c851a · inbound

Emergent Misalignment Recruits a Pre-existing Persona Subspace cites this paper.

Emergent Misalignment Recruits a Pre-existing Persona Subspace TIES-Merging: Resolving Interference When Merging Models

Reference 234

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source=arxiv_source observed=2026-08-01T07:46:24.752976Z digest=sha256:06058ae618403c605987c9ed55c123343cf8d1287e3c580a99157993a001fb2f

Observation d008e851-84b8-4f50-9a8f-ce16372ed5d0 · inbound

Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence cites this paper.

Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence TIES-Merging: Resolving Interference When Merging Models

Reference 28

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no resolver link, observed 2026-08-10T21:18:33.474080Z

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source=pdf_text observed=2026-08-10T21:18:33.474080Z digest=sha256:7dc8ebe6f52d971f7d915d125e1f5abe174ef7b14e1a4cde77d367ec1351924c

Observation 48faf8a9-8c10-4345-8027-8a2ed3018bd4 · inbound

When Skills Meet Safety: Benchmarking and Characterizing the Adaptive Jailbreak Robustness of Skill-Merged LLMs cites this paper.

When Skills Meet Safety: Benchmarking and Characterizing the Adaptive Jailbreak Robustness of Skill-Merged LLMs TIES-Merging: Resolving Interference When Merging Models

Reference 32

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no resolver link, observed 2026-08-14T04:46:16.005471Z

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source=pdf_text observed=2026-08-14T04:46:16.005471Z digest=sha256:f8e9e5d713f8314f62d41eef376a3eb4a9b03e2391623e067fa74f34c0431c54

Observation 6360344b-b829-4b2f-b34a-4b3745e90a71 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 47

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no resolver link, observed 2026-08-15T14:24:17.182399Z

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source=pdf_text observed=2026-08-15T14:24:17.182399Z digest=sha256:a75bafbf150892136326f601edd4d7674b3593b84732f92505320efbd782da41