Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T08:07:09.574681Z
Paper Citation Record · LEDGER
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
As of 17 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2412.19098.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:20.895955Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:42:25.988601Z
Reference resolution
57 of 57 outbound references displayed
- verified exact6
- verified fuzzy49
- unresolved1
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5c0d3618-165b-415f-a98a-6e37ae0b9961 · outbound
This paper cites Multitask learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Multitask learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.146505Z
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.
Observation 42972add-de58-4d34-8f96-d34ca5d952e2 · outbound
This paper cites S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Reference 2
- Resolution
- verified exact
- doi, observed 2026-05-25T08:10:31.328206Z
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.
Observation 59ec2e81-6a2c-47ee-be65-32cf353dea06 · outbound
This paper cites Similarity and matching of neural network representations.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Similarity and matching of neural network representations
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.126280Z
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.
Observation 37b5b3e0-a835-4a93-95ba-f55a2c3b32b7 · outbound
This paper cites Model breadcrumbs: Scaling multi-task model merging with sparse masks.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Model breadcrumbs: Scaling multi-task model merging with sparse masks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.122113Z
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.
Observation 6e315742-f885-4ebd-a0a7-debd6242014e · outbound
This paper cites DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.
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 2026-08-16T06:30:59.297886+00:00.
Observation 1b445f5a-54c6-4fe0-8bfd-780effa7b6af · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Imagenet: A large-scale hierarchical image database
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.138652Z
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.
Observation b23136c4-3797-4a1f-9f03-5f93aa275254 · outbound
This paper cites Automatically constructing a corpus of sentential paraphrases.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Automatically constructing a corpus of sentential paraphrases
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.064037Z
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.
Observation f53501fc-e5da-4916-81a1-1e6eacedfd87 · outbound
This paper cites Parameter competition balancing for model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Parameter competition balancing for model merging
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.028708Z
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.
Observation 425e1c4a-66a7-46af-acf3-672b8782a7a2 · outbound
This paper cites Task singular vectors: Reducing task interference in model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Task singular vectors: Reducing task interference in model merging
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.142438Z
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.
Observation 290655a1-6092-42bd-94ea-7620a2c40d8c · outbound
This paper cites The third pascal recognizing textual entailment challenge.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation The third pascal recognizing textual entailment challenge
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.158992Z
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.
Observation e2598f84-86c6-4cea-8b7d-f5f5ace0889a · outbound
This paper cites Deep residual learning for image recognition.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Deep residual learning for image recognition
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.171018Z
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.
Observation 98f8f421-efdd-44d4-9308-fab87bccb91c · outbound
This paper cites Benchmarking neural network robustness to common corruptions and perturbations.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Benchmarking neural network robustness to common corruptions and perturbations
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.105096Z
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.
Observation a0027913-3644-4a9f-a208-25c25513025d · outbound
This paper cites Revisiting scalarization in multi-task learning: A theoretical perspective.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Revisiting scalarization in multi-task learning: A theoretical perspective
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.055499Z
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.
Observation c0d3e910-5262-456d-b4c0-fb7d4defc901 · outbound
This paper cites Emr-merging: Tuning-free high-performance model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Emr-merging: Tuning-free high-performance model merging
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.051878Z
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.
Observation 8bbb8108-04c7-41fb-b1c4-ca656e9d2720 · outbound
This paper cites Patching open-vocabulary models by interpolating weights.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Patching open-vocabulary models by interpolating weights
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.068115Z
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.
Observation 4218a0e0-dd86-4e21-b02d-140c3f5f30dd · outbound
This paper cites Editing models with task arithmetic.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Editing models with task arithmetic
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.163008Z
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.
Observation a49c21e8-abfb-4f70-975f-45047b61d33e · outbound
This paper cites First quora dataset release: Question pairs.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation First quora dataset release: Question pairs
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.072059Z
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.
Observation b2279bb1-5d33-468b-be00-0c540709331b · outbound
This paper cites Fine-tuning attention modules only: Enhancing weight disentanglement in task arithmetic.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Fine-tuning attention modules only: Enhancing weight disentanglement in task arithmetic
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.024608Z
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.
Observation 2ba88148-3dec-439e-84fd-f341bc708b3e · outbound
This paper cites Multi-task learning using uncertainty to weigh losses for scene geometry and semantics.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.032725Z
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.
Observation 9bbe592b-c5c5-488a-8003-49189400015e · outbound
This paper cites Adam: A method for stochastic optimization.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Adam: A method for stochastic optimization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.020479Z
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.
Observation 5dab0b3c-6cb4-4ba5-808e-cea9478474e2 · outbound
This paper cites Overcoming catastrophic forgetting in neural networks.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Overcoming catastrophic forgetting in neural networks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.998658Z
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.
Observation e5d29ffb-1088-48b6-9562-1c61fcb276be · outbound
This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.040069Z
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.
Observation 0aa623a7-b0fa-4572-825a-7145f915e49a · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:10:31.438891Z
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.
Observation da321228-667a-48ea-8b90-8e050e8aa6ef · outbound
This paper cites No task left behind: Isotropic model merging with common and task-specific subspaces.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation No task left behind: Isotropic model merging with common and task-specific subspaces
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.003052Z
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.
Observation d61530d8-8381-426c-8160-d5e0b5330a67 · outbound
This paper cites Magmax: Leveraging model merging for seamless continual learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Magmax: Leveraging model merging for seamless continual learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.036535Z
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.
Observation 33f019c1-cb3f-436f-a31e-0b3e597042aa · outbound
This paper cites Cross-stitch networks for multi-task learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Cross-stitch networks for multi-task learning
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.167029Z
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.
Observation bde0b842-9a5c-4c18-b4b0-7d879e27b7d4 · outbound
This paper cites Reading digits in natural images with unsupervised feature learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Reading digits in natural images with unsupervised feature learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.048356Z
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.
Observation 5538999e-d1aa-4238-91b5-1be6c95734ba · outbound
This paper cites Towards calibrated robust fine-tuning of vision-language models.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Towards calibrated robust fine-tuning of vision-language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.109511Z
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.
Observation d9997cb4-5fd9-465c-89c4-cb6c27254546 · outbound
This paper cites Dawin: Training-free dynamic weight interpolation for robust adaptation.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Dawin: Training-free dynamic weight interpolation for robust adaptation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.986460Z
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.
Observation baf03a84-0001-4d6c-bd67-d4713c7e9637 · outbound
This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Task arithmetic in the tangent space: Improved editing of pre-trained models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.044516Z
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.
Observation 38c5e189-466e-4fab-845d-865b7dfb8a01 · outbound
This paper cites Learning transferable visual models from natural language supervision.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Learning transferable visual models from natural language supervision
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.059913Z
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.
Observation 93bea45f-e468-4d3e-9e03-acd53386963b · outbound
This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation SQ u AD : 100,000+ questions for machine comprehension of text
Reference 32
- Resolution
- verified exact
- doi, observed 2026-05-25T08:10:31.333807Z
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.
Observation f329c5ed-8ce1-4dc4-93af-34926ffe3153 · outbound
This paper cites Indoor segmentation and support inference from rgbd images.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Indoor segmentation and support inference from rgbd images
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.982382Z
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.
Observation 5626e355-70a2-40ec-9623-85c58760ab0f · outbound
This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Recursive deep models for semantic compositionality over a sentiment treebank
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.093567Z
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.
Observation 434921f2-ff11-4bbd-ba8a-e608e53bfbc1 · outbound
This paper cites The german traffic sign recognition benchmark: a multi-class classification competition.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation The german traffic sign recognition benchmark: a multi-class classification competition
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.978496Z
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.
Observation 13ad4411-434e-4dc7-907a-88749f4fb26c · outbound
This paper cites Fusionbench: A comprehensive benchmark of deep model fusion.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Fusionbench: A comprehensive benchmark of deep model fusion
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:10:31.445479Z
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.
Observation e58d3c02-d8eb-470c-99b5-adb7a122637c · outbound
This paper cites Merging multi-task models via weight-ensembling mixture of experts.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Merging multi-task models via weight-ensembling mixture of experts
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.974942Z
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.
Observation c2bebd73-d722-4c22-82b1-dec9d5eeca99 · outbound
This paper cites Glue: A multi-task benchmark and analysis platform for natural language understanding.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Glue: A multi-task benchmark and analysis platform for natural language understanding
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.134705Z
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.
Observation b369c60c-ac16-43ea-b58a-8512e947cb7e · outbound
This paper cites Localizing task information for improved model merging and compression.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Localizing task information for improved model merging and compression
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.994427Z
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.
Observation 48849129-dabc-4f80-af6e-244697107ec3 · outbound
This paper cites Lines: Post-training layer scaling prevents forgetting and enhances model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Lines: Post-training layer scaling prevents forgetting and enhances model merging
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:31.990916Z
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.
Observation f91be1db-6d77-4cd6-8881-c61d9eef8370 · outbound
This paper cites Neural network acceptability judgments.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Neural network acceptability judgments
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.007030Z
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.
Observation 004a9d51-2ef1-419b-b7eb-d07ba4ff6c25 · outbound
This paper cites Representation surgery in model merging with probabilistic modeling.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Representation surgery in model merging with probabilistic modeling
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.016163Z
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.
Observation 77b1b4b3-2142-4bdb-97c9-2867271e189f · outbound
This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Reference 43
- Resolution
- verified exact
- doi, observed 2026-05-25T08:10:31.338846Z
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.
Observation 90e9b1ce-7544-4e7e-ada9-6a978d4b1cfb · outbound
This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.175535Z
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.
Observation d0a97d84-4878-44ff-9e1c-150921bdbf3b · outbound
This paper cites Robust fine-tuning of zero-shot models.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Robust fine-tuning of zero-shot models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.151260Z
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.
Observation 86aafaa5-21d0-4ab6-a9c6-13f379638d3e · outbound
This paper cites Scalable model merging with progressive layer-wise distillation.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Scalable model merging with progressive layer-wise distillation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.130872Z
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.
Observation 34f540c9-dfd0-4f4b-b29f-06291f923623 · outbound
This paper cites Ties-merging: Resolving interference when merging models.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Ties-merging: Resolving interference when merging models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.155181Z
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.
Observation 6b4e472b-3d9f-4597-b080-2be8a6c06e66 · outbound
This paper cites Representation surgery for multi-task model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Representation surgery for multi-task model merging
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.179713Z
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.
Observation 80f991a5-dc83-44f7-b867-1c17a85b09ba · outbound
This paper cites Adamerging: Adaptive model merging for multi-task learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Adamerging: Adaptive model merging for multi-task learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.113839Z
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.
Observation 1b676484-d1f9-4659-b889-0ce6c9e74907 · outbound
This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Language models are super mario: Absorbing abilities from homologous models as a free lunch
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.101179Z
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.
Observation 849e39f3-27dd-48c9-a47a-b3520b8a452c · outbound
This paper cites Gradient surgery for multi-task learning.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Gradient surgery for multi-task learning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.089413Z
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.
Observation c450277d-1634-4934-b990-dfb431fc8d86 · outbound
This paper cites Free-merging: Fourier transform for efficient model merging.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Free-merging: Fourier transform for efficient model merging
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.097348Z
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.
Observation 7a250c8b-f079-4e1a-a4b8-0ce34ef54247 · outbound
This paper cites On the emergence of cross-task linearity in the pretraining-finetuning paradigm.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation On the emergence of cross-task linearity in the pretraining-finetuning paradigm
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.118199Z
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.
Observation 836ee192-0162-4dc9-af63-d633f26d0585 · outbound
This paper cites write newline.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation write newline
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.081251Z
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.
Observation ea10ab4d-5d6e-45b8-bff7-2499a35b0e00 · outbound
This paper cites @esa (Ref.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation @esa (Ref
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:10:32.076845Z
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.
Observation c738aa8e-6b1c-4d2c-b24c-6faf282d795f · outbound
This paper cites an unresolved cited work.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T08:10:32.085752Z
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.
Observation 2c98d765-267c-49bf-9101-c7b811d27da8 · outbound
This paper cites Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU.
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU
Reference 57
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-25T08:10:31.452248Z
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.
Pith citing papers
Observation bbf018a9-c097-4be0-9c40-6836b3cc0816 · inbound
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging cites this paper.
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:42:26.033203Z
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.