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Paper Citation Record · LEDGER

Multi-Task Model Merging via Adaptive Weight Disentanglement

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 12 inbound Pith citation observations for arXiv:2411.18729.

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

pith.paper-citation-record.v1
2411.18729 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:15.754793Z

measured 61 of 61 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:10.490081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.039526Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved5
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ba0308a-b249-4c2e-b3b7-fa5e4b891727 · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries.

Multi-Task Model Merging via Adaptive Weight Disentanglement Git re-basin: Merging models modulo permutation symmetries

Reference 1

Resolution
verified fuzzy
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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.

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Observation eb94627c-d951-43d3-b09e-6cb2dfdec307 · outbound

This paper cites Lan- guage models are Homer simpson! safety re-alignment of fine-tuned language models through task arithmetic.

Multi-Task Model Merging via Adaptive Weight Disentanglement Lan- guage models are Homer simpson! safety re-alignment of fine-tuned language models through task arithmetic

Reference 2

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verified fuzzy
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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.

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Observation 748dc33e-556f-41cf-bd9f-9f0bfee6cef4 · outbound

This paper cites Remote sens- ing image scene classification: Benchmark and state of the art.

Multi-Task Model Merging via Adaptive Weight Disentanglement Remote sens- ing image scene classification: Benchmark and state of the art

Reference 3

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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.

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Observation e8e137d0-4457-42cb-9a81-9fd33415ded7 · outbound

This paper cites Describing textures in the wild.

Multi-Task Model Merging via Adaptive Weight Disentanglement Describing textures in the wild

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 756a8cf6-6a03-4cd7-9699-a5efc383e4b1 · outbound

This paper cites Knowledge neurons in pretrained transform- ers.

Multi-Task Model Merging via Adaptive Weight Disentanglement Knowledge neurons in pretrained transform- ers

Reference 5

Resolution
verified fuzzy
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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.

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Observation 7625d420-9620-4126-a0a8-41f1ee70dccd · outbound

This paper cites Orthogonal gradient descent for continual learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Orthogonal gradient descent for continual learning

Reference 6

Resolution
verified fuzzy
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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.

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Observation 90c690bf-4701-4ae3-a19a-bfc2f2c80a43 · outbound

This paper cites Adaptive orthogonal projection for batch and online contin- ual learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Adaptive orthogonal projection for batch and online contin- ual learning

Reference 7

Resolution
verified fuzzy
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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.

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Observation 1132dfe3-017a-4753-b29d-8d08a326ccb5 · outbound

This paper cites Localize-and-stitch: Efficient model merging via sparse task arithmetic.

Multi-Task Model Merging via Adaptive Weight Disentanglement Localize-and-stitch: Efficient model merging via sparse task arithmetic

Reference 8

Resolution
verified fuzzy
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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.

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Observation cb5e5022-96a1-4c00-ac0e-5ad6ef3dcc6a · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Multi-Task Model Merging via Adaptive Weight Disentanglement Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 9

Resolution
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no resolver link, observed 2026-08-12T11:05:15.637416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c55f9cf-b6ae-41ea-a611-7e77a662136c · outbound

This paper cites Editing models with task arithmetic.

Multi-Task Model Merging via Adaptive Weight Disentanglement Editing models with task arithmetic

Reference 10

Resolution
verified fuzzy
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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.

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Observation 926fc5d7-413a-4f7d-be7a-3a0fc57ecb92 · outbound

This paper cites Dataless knowledge fusion by merging weights of language models.

Multi-Task Model Merging via Adaptive Weight Disentanglement Dataless knowledge fusion by merging weights of language models

Reference 11

Resolution
verified fuzzy
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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.

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Observation f9a31f4a-7aa1-4eff-bd94-7d3da9d31a15 · outbound

This paper cites REPAIR: REnormalizing permuted activations for interpolation repair.

Multi-Task Model Merging via Adaptive Weight Disentanglement REPAIR: REnormalizing permuted activations for interpolation repair

Reference 12

Resolution
verified fuzzy
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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.

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Observation 49dd3519-ebb2-44a8-8590-5c19eb484245 · outbound

This paper cites 3d object representations for fine-grained categorization.

Multi-Task Model Merging via Adaptive Weight Disentanglement 3d object representations for fine-grained categorization

Reference 13

Resolution
verified fuzzy
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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.

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Observation f52d46d5-3131-4a63-a45c-681318db10f0 · outbound

This paper cites The mnist database of handwritten digits.

Multi-Task Model Merging via Adaptive Weight Disentanglement The mnist database of handwritten digits

Reference 14

Resolution
verified fuzzy
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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.

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Observation 274f761c-3e2b-4929-9b41-560869602b52 · outbound

This paper cites Towards continual learning desiderata via hsic-bottleneck orthogonalization and equian- gular embedding.

Multi-Task Model Merging via Adaptive Weight Disentanglement Towards continual learning desiderata via hsic-bottleneck orthogonalization and equian- gular embedding

Reference 15

Resolution
verified fuzzy
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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.

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Observation fbd606ef-e6a9-4934-b4d5-893c55731d2c · outbound

This paper cites Model-protected multi-task learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Model-protected multi-task learning

Reference 16

Resolution
verified fuzzy
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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.

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Observation c81a6616-2e4e-404d-a6b2-0b562a83d2ad · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.

Multi-Task Model Merging via Adaptive Weight Disentanglement Roberta: A robustly optimized bert pretraining approach

Reference 17

Resolution
verified fuzzy
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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.

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Observation c33b4422-edf7-4c4a-894e-f5c9e5e04e45 · outbound

This paper cites Twin-merging: Dynamic integration of modular expertise in model merging.

Multi-Task Model Merging via Adaptive Weight Disentanglement Twin-merging: Dynamic integration of modular expertise in model merging

Reference 18

Resolution
verified fuzzy
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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.

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Observation 4dbb69c8-be78-4b35-8419-b05e8b8a2eb5 · outbound

This paper cites Merging models with fisher-weighted averaging.

Multi-Task Model Merging via Adaptive Weight Disentanglement Merging models with fisher-weighted averaging

Reference 19

Resolution
verified fuzzy
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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.

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Observation aa0a2762-76c1-4d4f-94f4-488922d2de3c · outbound

This paper cites Learning to route among specialized experts for zero- shot generalization.

Multi-Task Model Merging via Adaptive Weight Disentanglement Learning to route among specialized experts for zero- shot generalization

Reference 20

Resolution
verified fuzzy
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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.

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Observation a108a3af-8432-4f6d-8b34-5a9c35e2569c · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

Multi-Task Model Merging via Adaptive Weight Disentanglement Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 21

Resolution
verified fuzzy
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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.

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Observation 63849d2d-52a6-4bd9-a9e8-1b5bf957c652 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Multi-Task Model Merging via Adaptive Weight Disentanglement Learning transferable visual models from natural language supervision

Reference 22

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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.

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Observation d32c5850-80b1-49b6-a3ec-ebd50a5593a2 · outbound

This paper cites an unresolved cited work.

Multi-Task Model Merging via Adaptive Weight Disentanglement Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-12T11:05:16.011676Z

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.

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Observation 09fd2d29-1b5d-4dc5-a42b-8cfdf3e7b71f · outbound

This paper cites Continual learning with scaled gradient projection.

Multi-Task Model Merging via Adaptive Weight Disentanglement Continual learning with scaled gradient projection

Reference 24

Resolution
verified fuzzy
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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.

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Observation b780059e-5c0d-4315-8cfe-1fea2a8f538f · outbound

This paper cites Multitask prompted training enables zero-shot task general- ization.

Multi-Task Model Merging via Adaptive Weight Disentanglement Multitask prompted training enables zero-shot task general- ization

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.994466Z

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.

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Observation 8634cacb-64f0-461e-bc70-a2fc649636a7 · outbound

This paper cites The german traffic sign recognition bench- mark: a multi-class classification competition.

Multi-Task Model Merging via Adaptive Weight Disentanglement The german traffic sign recognition bench- mark: a multi-class classification competition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.985029Z

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.

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Observation a6a29392-ac25-4eb3-962f-53645fed2011 · outbound

This paper cites Parameter-efficient multi-task model fusion with partial linearization.

Multi-Task Model Merging via Adaptive Weight Disentanglement Parameter-efficient multi-task model fusion with partial linearization

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.976206Z

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.

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Observation f10b6767-7886-4582-9249-f6b0d9234e7e · outbound

This paper cites Parameter-efficient multi-task model fusion with partial linearization.

Multi-Task Model Merging via Adaptive Weight Disentanglement Parameter-efficient multi-task model fusion with partial linearization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.967950Z

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.

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Observation c0ee7363-9a79-4181-a1ca-a793f6642d1f · outbound

This paper cites Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Steven Zheng, Denny Zhou, Neil Houlsby, and Donald Metzler.

Multi-Task Model Merging via Adaptive Weight Disentanglement Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Steven Zheng, Denny Zhou, Neil Houlsby, and Donald Metzler

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.959640Z

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.

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Observation 8071ed3f-2cca-4cc5-a9c8-e31ca6e40f63 · outbound

This paper cites Is fine-tuning needed? pre-trained language models are near perfect for out-of-domain detection.

Multi-Task Model Merging via Adaptive Weight Disentanglement Is fine-tuning needed? pre-trained language models are near perfect for out-of-domain detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.951481Z

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=pdf_text observed=2026-08-12T11:05:15.697541Z digest=sha256:c00929fe0569e6005f2afba734b8205d201197438818e4cace772bc57c6fcab9

Observation 2f186ccb-a036-42e0-a94e-cee678121f4d · outbound

This paper cites Knowledge fusion of large language models.

Multi-Task Model Merging via Adaptive Weight Disentanglement Knowledge fusion of large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.943133Z

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=pdf_text observed=2026-08-12T11:05:15.700083Z digest=sha256:94cd78071d3c82d4abfa879c1c438f77a217e70ea6489e917f772a451d831dbc

Observation 7e9355b6-f48c-42f1-9f87-9380eb45540b · outbound

This paper cites GLUE: A multi-task benchmark and analysis platform for natural language un- derstanding.

Multi-Task Model Merging via Adaptive Weight Disentanglement GLUE: A multi-task benchmark and analysis platform for natural language un- derstanding

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.934290Z

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=pdf_text observed=2026-08-12T11:05:15.703088Z digest=sha256:eeddb3d56aafd3da95fde4fc17b79589bb4926d201408adc3662c077ea23a17f

Observation 4fa5ecba-90bf-4999-8cd0-e65ca882f84f · outbound

This paper cites Localizing task infor- mation for improved model merging and compression.

Multi-Task Model Merging via Adaptive Weight Disentanglement Localizing task infor- mation for improved model merging and compression

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.926010Z

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=pdf_text observed=2026-08-12T11:05:15.705972Z digest=sha256:d707488de449c04a3be1294eb7545caca76ca4b94379c281e1236a9afd451adf

Observation 476aded7-1294-491a-8ffb-a2aad3004b7e · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

Multi-Task Model Merging via Adaptive Weight Disentanglement A comprehensive survey of continual learning: Theory, method and application

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.917183Z

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=pdf_text observed=2026-08-12T11:05:15.708976Z digest=sha256:1d40070a80f689124b98dd8ffbe4ff854bfe58ba590117aee66d2d2862e9dd4d

Observation d2346e32-efe7-4a97-b37e-16f1d86260b9 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Orthogonal Subspace Learning for Language Model Continual Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T11:05:15.712044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:15.712044Z digest=sha256:60aa289b67c884ef7cc2a09225c3ecf22556b9f8253d71a4f5f6bf878f2f9a3e

Observation 805d8b28-7b81-4cf2-a470-ab18136e5b68 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Multi-Task Model Merging via Adaptive Weight Disentanglement Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.908891Z

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=pdf_text observed=2026-08-12T11:05:15.715345Z digest=sha256:d3e42b7537b0e377a206397bf13d207321612a1462e8cc945de2a44bcc1d8f54

Observation 03f0f4d6-5d96-471a-ab9f-3732801c1b84 · outbound

This paper cites Sun database: Exploring a large col- lection of scene categories.

Multi-Task Model Merging via Adaptive Weight Disentanglement Sun database: Exploring a large col- lection of scene categories

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.899950Z

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=pdf_text observed=2026-08-12T11:05:15.718625Z digest=sha256:e001da80d5f860c1c5ad4e3365d09688d32343f31f45e45f3c4b477aceb71b54

Observation 99547a45-8b53-40da-b787-03d50f44c5c2 · outbound

This paper cites Active finetuning: Exploiting an- notation budget in the pretraining-finetuning paradigm.

Multi-Task Model Merging via Adaptive Weight Disentanglement Active finetuning: Exploiting an- notation budget in the pretraining-finetuning paradigm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.891306Z

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=pdf_text observed=2026-08-12T11:05:15.721809Z digest=sha256:79e713bc9aa764d005023aff59026e03d516dae166834cf40ec5179f2ed7a01f

Observation e3496901-4129-4b2f-ab65-b858ccc2070f · outbound

This paper cites Ties-merging: resolving interfer- ence when merging models.

Multi-Task Model Merging via Adaptive Weight Disentanglement Ties-merging: resolving interfer- ence when merging models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.882820Z

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=pdf_text observed=2026-08-12T11:05:15.724884Z digest=sha256:c40b81dcd77d0e9eff8f69a9a9789167c218c46b645cca35194a71a7f29dda59

Observation 23c3e567-92ec-45dc-a7a7-1d2bec4e41ed · outbound

This paper cites Model merging in llms, mllms, and beyond: Methods, theories, applications and opportunities.

Multi-Task Model Merging via Adaptive Weight Disentanglement Model merging in llms, mllms, and beyond: Methods, theories, applications and opportunities

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.874340Z

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=pdf_text observed=2026-08-12T11:05:15.728045Z digest=sha256:0d01db435eccbba8fdaa805719a1eee47b57cf6262924e549d8b4d3617c01f58

Observation 394efd8c-99a5-43f6-ab57-b08696bc1452 · outbound

This paper cites Representation 10 surgery for multi-task model merging.

Multi-Task Model Merging via Adaptive Weight Disentanglement Representation 10 surgery for multi-task model merging

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.865557Z

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=pdf_text observed=2026-08-12T11:05:15.730988Z digest=sha256:e2819a7ba5b2131544e7105900f908c1acae09b1ccff3d3df7d0ab730cf84ce3

Observation a4fa28ee-1dee-44b9-9bdd-d2ddf5e9a8f4 · outbound

This paper cites Adamerging: Adap- tive model merging for multi-task learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Adamerging: Adap- tive model merging for multi-task learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.857125Z

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=pdf_text observed=2026-08-12T11:05:15.733775Z digest=sha256:7f9481ccf59dadc36ba8ae048faff1cbafb3c6cf954ea273219d9a1e5342ea05

Observation 8bd2782c-9ed4-498f-8b7a-8d8d852a89bc · outbound

This paper cites On the dimensionality of word embedding.

Multi-Task Model Merging via Adaptive Weight Disentanglement On the dimensionality of word embedding

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.848020Z

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=pdf_text observed=2026-08-12T11:05:15.736886Z digest=sha256:7e9cacddf023221241a12d51bbecee0a5f3650525ef1e1499172475370fda482

Observation 52020132-4fed-4cc9-8bdd-d79d59abd6ec · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Multi-Task Model Merging via Adaptive Weight Disentanglement Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.838718Z

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=pdf_text observed=2026-08-12T11:05:15.739768Z digest=sha256:8e06fcc3ebb00896a35e3059e00561aded5fa89396c9a136d0dd0280ec5f6a24

Observation 0aae24c6-4228-40f1-a7d3-a5cf9a7f48f8 · outbound

This paper cites Reading digits in natural images with unsuper- vised feature learning.

Multi-Task Model Merging via Adaptive Weight Disentanglement Reading digits in natural images with unsuper- vised feature learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.829571Z

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=pdf_text observed=2026-08-12T11:05:15.742933Z digest=sha256:c637a537976788d088053b34da49a71184bf0c10a90f4a7308e963f60de292f2

Observation 95dd5c97-f0f3-4849-90ba-d10f533dc947 · outbound

This paper cites Contin- ual learning of context-dependent processing in neural net- works.

Multi-Task Model Merging via Adaptive Weight Disentanglement Contin- ual learning of context-dependent processing in neural net- works

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.820392Z

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=pdf_text observed=2026-08-12T11:05:15.745701Z digest=sha256:72bfa435afc118cda0d59d39096dde086012cdec6f026b521ee76fa0c4a4eeba

Observation 5caf2ea4-d398-46db-955a-35dc8ae1ab95 · outbound

This paper cites an unresolved cited work.

Multi-Task Model Merging via Adaptive Weight Disentanglement Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:05:15.811042Z

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=pdf_text observed=2026-08-12T11:05:15.748634Z digest=sha256:cb8e883e14da91ecf133533e06d747ec6d0f5a6cb2e9018ec34453cf53f66f83

Observation 18aeaa59-1e62-44cf-a40c-af9883895962 · outbound

This paper cites Calculate Resources and Environment.

Multi-Task Model Merging via Adaptive Weight Disentanglement Calculate Resources and Environment

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:05:15.802414Z

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=pdf_text observed=2026-08-12T11:05:15.751980Z digest=sha256:6d6e023bedc69630f73a29502a983e4b6bcd99f858ee0952246216708bd450e3

Observation 54a865bd-4fbc-4917-af57-2dc5535dd32e · outbound

This paper cites Performance on ViT-B/16 Table 4 presents the performance of various merging meth- ods applied to ViT-B/16.

Multi-Task Model Merging via Adaptive Weight Disentanglement Performance on ViT-B/16 Table 4 presents the performance of various merging meth- ods applied to ViT-B/16

Reference 49

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:05:15.792878Z

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=pdf_text observed=2026-08-12T11:05:15.754793Z digest=sha256:4918a09c5df80865ca538f1812109e230557422e7d319d8dfbd238a38b90fae7

Pith citing papers

Observation b9abf6f2-7360-4e2c-8a5e-ce60f2a4984c · 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 Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 260

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.783864Z

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=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:b5c0e0ed7951a54d1be507f46df6f4880894623c937d8304b2fe9e85c5f9fc9c

Observation f6381a1a-1a8c-423a-8b4f-d76154386d0d · inbound

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

How to Merge Your Multimodal Models Over Time? Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:43.601245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:24:43.601245Z digest=sha256:8b46883a3a98b0e856a3c35d89340d682dc7ca60059c04d4559e00a9809d65de

Observation fb2dadad-3c63-4805-be1a-e310fa9c060c · inbound

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent cites this paper.

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:48.743220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:48.743220Z digest=sha256:4be0dbbc621373cce486276ae0d158e84266eb08b07897a1ce520124c6fb7762

Observation dd60ba66-56bf-4a1b-bbb3-67faf2827888 · 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 Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:11.230419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:11.230419Z digest=sha256:9d5a445fb8e16280468a4999135c758a914439b58843d273d961464819bba779

Observation 77dde7e8-deb1-4bc6-88a9-c84577022529 · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:16.048377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:16.048377Z digest=sha256:834c8e6f82a9abec692bf66bd9cc784847eebe53445af5b24f48afef81592ec7

Observation 02e018f8-4f26-4546-ac24-136f8cb24e7e · inbound

Understanding and Enforcing Weight Disentanglement in Task Arithmetic cites this paper.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:36:36.485713Z

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=pdf_text observed=2026-05-10T06:35:33.560079Z digest=sha256:5a4cbaa26ce6cd04e803c82ac5bb128fc9aeb8b55763d6adcee2483a23d2e397

Observation 9f303378-2cb1-4b38-963e-0601f83672e0 · inbound

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory cites this paper.

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:40.735723Z

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=pdf_text observed=2026-05-21T05:49:14.789955Z digest=sha256:f03fd59a6ac3bf03fd5efe517403b6c79cc88a7b246828476b4d7e9bc972e971

Observation 2dcf83e3-7f94-4e42-89ed-bc396851a153 · inbound

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

When Model Merging Breaks Routing: Training-Free Calibration for MoE Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:36:25.372527Z

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=pdf_text observed=2026-06-28T11:47:22.486110Z digest=sha256:8dd8276bf79502ef5867f61ed268af7a56f1fd780815ade3068e1f29d727fe2a

Observation a1fe8fdc-893d-4e6b-b3aa-c286f19ac7b3 · inbound

PACT: Preserving Anchored Cores in Task-vectors for Model Merging cites this paper.

PACT: Preserving Anchored Cores in Task-vectors for Model Merging Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:39:03.964781Z

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=pdf_text observed=2026-06-26T21:57:07.546038Z digest=sha256:a79cf3d9142d7821d8ed3db17f73d96a2ba5459c0525e36f3260ae9a1cbf502c

Observation 95aab0c1-624a-4763-831c-ca5b9b057b08 · inbound

Learning to Recover Task Experts from a Multi-Task Merged Model cites this paper.

Learning to Recover Task Experts from a Multi-Task Merged Model Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:51.041245Z

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=pdf_text observed=2026-06-26T05:01:39.683081Z digest=sha256:f7d693badf565529dcf1ce2c15a6f1639b603e9568fd48f67818e358e9c576e5

Observation 3b058864-c054-496e-9cb3-a9b4248e25b2 · inbound

SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation cites this paper.

SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:46.610154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:32:46.610154Z digest=sha256:1ce8ab1750f7ebf6c00eed242890d0a06be221fd256250a2ade176d260054dac

Observation 067e8b91-3bc9-4868-9b9f-a9a3a26a9bb7 · inbound

CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation cites this paper.

CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:15:10.490081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:15:10.490081Z digest=sha256:13a646fa3bc8c4c81035488225084981ed9f95744f67e37c5eca9295c00fab87