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Paper Citation Record · LEDGER

Efficient Decentralized Multi-task Dataset Valuation via Model Merging

As of 20 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.03346.

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

pith.paper-citation-record.v1
2607.03346 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:07:59.787733Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

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  • verified fuzzy0
  • unresolved76
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  • malformed identifier1
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Outbound references

Observation 1242f109-8928-4cd4-8b90-01e7a39356c1 · outbound

This paper cites A marketplace for data: An algorithmic solution.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging A marketplace for data: An algorithmic solution

Reference 1

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Observation f3769548-ec5d-4676-ae7e-b504ffd47945 · outbound

This paper cites Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning

Reference 2

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:05ebd0e7f20cfc83576a2c68342c5a5e08d911afdcf04fc3c48feef31365f368

Observation dfbd41df-fbce-4c64-b6e2-8d25d8568063 · outbound

This paper cites Towards reversible model merging for low-rank weights.arXiv preprint arXiv:2510.14163, 2025.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Towards reversible model merging for low-rank weights.arXiv preprint arXiv:2510.14163, 2025

Reference 3

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Observation da8a5da5-dfea-4ce5-a723-8a2c2c226e03 · outbound

This paper cites Fundamentals of task- agnostic data valuation.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fundamentals of task- agnostic data valuation

Reference 4

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:e9009abe1e722af0bbdd2df74dcf9dc2214e4fafa076c69130f2a59457ff4e4f

Observation 6d501dab-1161-4dd8-bcf3-0fc87b779ad5 · outbound

This paper cites Food-101–mining discriminative components with random forests.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Food-101–mining discriminative components with random forests

Reference 5

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:9b987c234553f1666c6b165bbf228ae2a72a0f8aac50833da3f207987d473360

Observation 76f28ae9-4f99-462c-ac09-23a368e35473 · outbound

This paper cites CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning

Reference 6

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:8aee502511f2ef88110f0f2021da8f6c16e4f9b936f79e4f38c8d2a0c753d4ed

Observation 3dc27b28-c9b1-4cb8-8596-44d153ce78fe · outbound

This paper cites Towards model-based pricing for machine learning in a data marketplace.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Towards model-based pricing for machine learning in a data marketplace

Reference 7

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:2f974a7fef1fae7566ce156c69da46e51192a798ff0715bf737d46ebe4ee003b

Observation 382c4e66-de17-414f-920b-1128408edf1e · outbound

This paper cites Defending unauthorized model merging via dual-stage weight protection.arXiv preprint arXiv:2511.11851, 2025.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Defending unauthorized model merging via dual-stage weight protection.arXiv preprint arXiv:2511.11851, 2025

Reference 8

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:e1ce2a7e8e2f538ccd01a7edc0f6922328ae81966a31fab934a9c624cbd4f1ff

Observation 77601dc2-3e43-4f42-bf54-26a3c24d0a1f · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art.Proceedings of the IEEE, 105(10):1865–1883, 2017.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Remote sensing image scene classification: Benchmark and state of the art.Proceedings of the IEEE, 105(10):1865–1883, 2017

Reference 9

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:ace3209e6c010b001d96092d0b0b51b9e503dd2d26959496610340ea0fb3472a

Observation 9f2c4d2e-563e-405a-9d7c-e45b22a80e7c · outbound

This paper cites A Joint Energy and Differentially-Private Smart Meter Data Market.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging A Joint Energy and Differentially-Private Smart Meter Data Market

Reference 10

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Observation fb151ccc-7427-49d0-b845-f5ba62d4d359 · outbound

This paper cites Aggarwal, and Yao Ma.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Aggarwal, and Yao Ma

Reference 11

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:446368525b73f0968352f5d6c3f931c59da59c7136e09d05e67bf094a1fcb418

Observation f6a260c3-9075-4ec4-923f-71069ab55add · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scaling Instruction-Finetuned Language Models

Reference 12

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Observation 8f2043da-44a0-48d2-bf56-04cfcea285f4 · outbound

This paper cites Describing textures in the wild.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Describing textures in the wild

Reference 13

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:3357f8a076c869e2fa028efb351b67504a5f0c605944079f2bc1af838d62678e

Observation 026ab180-0987-44eb-b0b6-74c90c5f85f4 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 14

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:5469d693ffc7373a59e142ae6f12a3691d6699536df89e00ceed8ffb1e7135b0

Observation 89e827d4-c670-4ab6-8ae0-e1b1311205cd · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 15

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:a16f87f5439f05063418385354a33d4a7cc2cf25821a3709fd4f62739d9a0e43

Observation b092aa5d-ca56-48af-855a-dc9a8d27b51b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Training Verifiers to Solve Math Word Problems

Reference 16

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:ae7f56472965249c890a317d487b2156d4051dfea899608a6a756e47654c449a

Observation 85e581c0-7fb3-4772-9f85-69d2bdabd63b · outbound

This paper cites Emnist: Extending mnist to handwritten letters.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Emnist: Extending mnist to handwritten letters

Reference 17

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:35a2f12903fac9a934bc01effa5fc65984767d2da5d543648362f5296b5f33d8

Observation 373031b5-4b7a-4ecf-852e-ccb988eb23e3 · outbound

This paper cites Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation

Reference 18

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:4a87dc92ba050cec2242d3969cec3da3c731be82e5fb24587c000c6fa3de62fc

Observation 644527e2-8eab-426f-a572-3f3ad60b9a11 · outbound

This paper cites Du-shapley: A shapley value proxy for efficient dataset valuation.Advances in Neural Information Processing Systems, 37:1973–2000, 2024.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Du-shapley: A shapley value proxy for efficient dataset valuation.Advances in Neural Information Processing Systems, 37:1973–2000, 2024

Reference 19

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Observation 6c572775-97a2-46e5-9809-5e89c78368eb · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 20

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:2f3f2cdde895103acf2b3c80b523c5b0f7554907c68ca81824f3cb9ea05dc8a6

Observation 7b529507-602d-4dfc-a179-d57309aa1bab · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data shapley: Equitable valuation of data for machine learning

Reference 21

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:c80eb1609bd09222082ae1797a17df2c9e30fae0bada0377d2b71abe9d4b53dc

Observation afb0c9bf-b708-4105-afe7-fc541af9ae1e · outbound

This paper cites The Llama 3 Herd of Models.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging The Llama 3 Herd of Models

Reference 22

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Observation 146f60eb-07d8-4201-9892-cbbcd287c859 · outbound

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Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work

Reference 23

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Observation 5c27d139-f6fa-4f6e-ad4c-8965fca81052 · outbound

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Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work

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Observation 5b465638-5e42-46d6-a65c-c8bbb0a1b49d · outbound

This paper cites Editing models with task arithmetic.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Editing models with task arithmetic

Reference 25

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:5e1ccd5c496946aaedf3080a25db08d7741c3426b05cd25c1061a68c1a8e9400

Observation 4f910584-5e2f-4881-8d53-948873df9f26 · outbound

This paper cites Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace

Reference 26

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Observation b523114c-278a-4f15-bb62-9b20d2c09441 · outbound

This paper cites Efficient task-specific data valuation for nearest neighbor algorithms.Proc.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Efficient task-specific data valuation for nearest neighbor algorithms.Proc

Reference 27

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Observation ab2d0ad6-6ef5-467d-b454-149a3bc8b1ef · outbound

This paper cites an unresolved cited work.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work

Reference 28

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:f1ce24aff2a1d5e1d730c878a08c01b59fd50ddb399c3f28489d52671a54a013

Observation 3dd60136-7749-4a11-89fd-0c6c4199f242 · outbound

This paper cites Pubmedqa: A dataset for biomedical research question answering.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Pubmedqa: A dataset for biomedical research question answering

Reference 29

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:de53a38294a60636f1e7a097b837ecc73b1699f3f91d766c8e9b51ed090d9923

Observation a0a99520-9b8a-4e74-abdd-2d3efa573b4c · outbound

This paper cites Disrupting model merging: A parameter-level defense without sacrificing accuracy.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Disrupting model merging: A parameter-level defense without sacrificing accuracy

Reference 30

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Observation 4e2243cd-e143-46b8-8d67-e43dd78040cc · outbound

This paper cites Understanding black-box predictions via influence functions.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Understanding black-box predictions via influence functions

Reference 31

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:89db833ba3fcc5651189101ac78e8f62193f5f9158e464f9e679c41ae450135c

Observation 3b58fed8-063d-4889-9d8e-5b81f3c522d3 · outbound

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

Efficient Decentralized Multi-task Dataset Valuation via Model Merging 3d object representations for fine- grained categorization

Reference 32

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Observation 8dfa7927-d6a3-4c88-998a-cdcec1e0dcb2 · outbound

This paper cites Learning multiple layers of features from tiny images.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Learning multiple layers of features from tiny images

Reference 33

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:d76da91c69ddb8bb1b5d6a526efa628640b5ba0b87182ea6f3317ea767007dbe

Observation f8fcebfa-ae16-4773-97f8-c51f46c037d6 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998

Reference 34

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:a29b9c148041ad442dd0831835e6b8d6d2e53e3e6ab915bde5568629d6c33398

Observation 3fae00a9-7268-4d00-bf20-39e103f6b564 · outbound

This paper cites When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers

Reference 35

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:79027a751ab17d7a5459d69782b5e0e7091d244efeed5f24df35b4e9b808b6b5

Observation 540c74c9-79ea-4f6e-b006-bed4a2a8b05c · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 36

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:f1ac7eb694d70d1454283363039a35061c04ed7a4f36e9691374913e16338539

Observation 9ef88f1a-08f1-4c05-9bfe-a1f77f23f9cd · outbound

This paper cites Dealer: an end-to-end model marketplace with differential privacy.Proc.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Dealer: an end-to-end model marketplace with differential privacy.Proc

Reference 37

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Observation 8e3b5bf7-13b1-418f-a2cd-53ac4c6d94bf · outbound

This paper cites doi: 10.14778/3447689.3447700.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging doi: 10.14778/3447689.3447700

Reference 38

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Observation 4afebfdf-0415-43cc-b815-1eaa0cd2c633 · outbound

This paper cites Data Measurements for Decentralized Data Markets.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data Measurements for Decentralized Data Markets

Reference 39

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Observation 3a5263f3-7872-4811-9a5a-02cc96ea328b · outbound

This paper cites Maas, Raymond E.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Maas, Raymond E

Reference 40

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Observation ee7dd67b-f52a-4e7d-9097-076f5e7ee421 · outbound

This paper cites Bounding the Estimation Error of Sampling-based Shapley Value Approximation.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Bounding the Estimation Error of Sampling-based Shapley Value Approximation

Reference 41

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Observation ebd7dc03-83d2-4ac9-8936-c8b32426e512 · outbound

This paper cites Merging models with fisher-weighted averaging.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Merging models with fisher-weighted averaging

Reference 42

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Observation 8e53842f-ca88-4904-8803-b1d63eb46f73 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 43

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Observation 3a809568-6eee-408c-bee5-51fbd9d71f33 · outbound

This paper cites Scalable data ablation approximations for language models through modular training and merging.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scalable data ablation approximations for language models through modular training and merging

Reference 44

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Observation 4b90de15-ef19-4098-b84e-a63dccdc9e44 · outbound

This paper cites an unresolved cited work.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work

Reference 45

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Observation f91aa75e-7e94-4ebc-94b0-490fd486cf7e · outbound

This paper cites Selectformer: Private and practical data selec- tion for transformers.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Selectformer: Private and practical data selec- tion for transformers

Reference 46

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Observation 23463c06-81cf-4eb5-9be1-2b0d81c68cb6 · outbound

This paper cites an unresolved cited work.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Unresolved cited work

Reference 47

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Observation 0661bbf0-e769-40e3-8ac3-356ca4e982d8 · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 48

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:3a31ed52e8594e59b8d1ec2f15fac7c12ebc711bbe6f75b4e216fb5baebf9f08

Observation 51044b83-cfae-45e3-ba90-a31f992375a1 · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 49

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Observation 062b91b3-ace9-463e-961b-48f314d458c8 · outbound

This paper cites Recognizing indoor scenes.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Recognizing indoor scenes

Reference 50

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:4b8567106488a728bf6c52bb794b5cc67d78f1b0821107c75622f345908c2311

Observation e5aa3f48-32ef-40ec-9fa6-1274e94db4dd · outbound

This paper cites Qwen2.5 Technical Report.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Qwen2.5 Technical Report

Reference 51

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:5ce71c19df88ca2527b8e9fe3fed148c2a447c3741723b053d5676f8f80aa337

Observation 53cb73d6-7699-4a0a-85b7-a38af64b128d · outbound

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

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Learning transferable visual models from natural language supervision

Reference 52

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:93ef9e6c1f96a046bfabb6aeb835844d6a2f7258ada01716aecb893ba9aaefc6

Observation b438f718-c092-4674-b44d-11f2b0463461 · outbound

This paper cites A value for n-person games.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging A value for n-person games

Reference 53

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:6bf1f3673652fe2162d7ea33aab27eaa1be0fe13e6cfefc7973f75a00920af90

Observation b5c5630f-bd37-40aa-afac-3cdad84a68c7 · outbound

This paper cites The german traffic sign recognition benchmark: A multi-class classification competition.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging The german traffic sign recognition benchmark: A multi-class classification competition

Reference 54

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:a39038e81042ce52b8fa813a2dd5e147618f9ea2c9324731ba01ae125b764697

Observation c10c54ef-9329-410e-a7b2-b29e8638a40f · outbound

This paper cites CommonsenseQA: A question answering challenge targeting commonsense knowledge.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging CommonsenseQA: A question answering challenge targeting commonsense knowledge

Reference 55

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:203840592408bca8dd724676aa0b830a49072262478370a8ca336f5a68b90b7e

Observation f011f85e-9220-4d84-9c50-446a6e9bd509 · outbound

This paper cites Fusionbench: A comprehensive benchmark of deep model fusion.Journal of Machine Learning Research, 2025.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fusionbench: A comprehensive benchmark of deep model fusion.Journal of Machine Learning Research, 2025

Reference 56

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Observation db07b7f5-d63f-4ac9-bcfd-118706f68778 · outbound

This paper cites Heterogeneous graph data valuation: A shapley value- based approach.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Heterogeneous graph data valuation: A shapley value- based approach

Reference 57

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:65c939e934cfa051697342330dc2e1806b797387a0d364bf5c32428a65692ff6

Observation 583a8817-0454-458b-8787-464890970138 · outbound

This paper cites Merge to Mix: Mixing Datasets via Model Merging.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Merge to Mix: Mixing Datasets via Model Merging

Reference 58

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:3e5efe4891dec39541a7e477b79461ac3233a8416ffb1af97f44f0f08281ca6e

Observation 8aefd375-a6f9-4d48-b7f1-6349a31d725e · outbound

This paper cites Private Data Valuation and Fair Payment in Data Marketplaces.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Private Data Valuation and Fair Payment in Data Marketplaces

Reference 59

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Observation edb5473a-e314-4044-9b06-7936a4d80e53 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 60

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Observation bc518027-56e7-40b0-9329-9e8cd8fa3742 · outbound

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

Efficient Decentralized Multi-task Dataset Valuation via Model Merging GLUE: A multi-task benchmark and analysis platform for natural language understanding

Reference 61

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Observation 72e052bc-72ad-436d-8260-3d2ab929e9ed · outbound

This paper cites Wang, Prateek Mittal, Dawn Song, and Ruoxi Jia.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Wang, Prateek Mittal, Dawn Song, and Ruoxi Jia

Reference 62

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:5ed405d7a28f3d289b9d3a9532c2beb353b6c3925ec74caaf347e4e8ce1fcf9e

Observation f00cdd65-48f9-44cd-b6bf-5ff577ec866e · outbound

This paper cites Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing

Reference 63

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Observation d29c88be-d278-415e-8863-9d0e59ebc6aa · outbound

This paper cites Scaling intelligence through model merging: A comprehensive survey.Authorea Preprints, 2025.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Scaling intelligence through model merging: A comprehensive survey.Authorea Preprints, 2025

Reference 64

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:f3d6f4a067e0405716c40364fd49dbf27bbeb0d5d9718d22f69ac21b621ae51e

Observation 70ffb220-3184-4b69-be35-36cc32251028 · outbound

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

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 65

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:2e0f2b53dcbbf678e555b263fd5d775014fff1812f65b36615abbed4ee3d368b

Observation 16342ac1-fac2-4836-9b6e-08e5518647ef · outbound

This paper cites Visual transformers: Token-based image representation and processing for computer vision, 2020.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Visual transformers: Token-based image representation and processing for computer vision, 2020

Reference 66

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:5ffbd2a8d6ea0a15d68416698a0c1ff2083bfad971442026b759918a80b23483

Observation e1613ffb-b867-4f57-9c13-0b55b3bfef6d · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 67

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Observation fd50621d-10d8-4987-a4e4-cbce74cc72f7 · outbound

This paper cites Ehinger, Aude Oliva, and Antonio Torralba.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Ehinger, Aude Oliva, and Antonio Torralba

Reference 68

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:b5d1efe62ebb09b7f57dc7aa4627e72186e1743c8ac7d77972d1ab9e1e2cdd07

Observation be351dd6-f97a-4a0d-bb27-df8848b72bbb · outbound

This paper cites Ties-merging: Resolving interference when merging models.Advances in Neural Information Processing Systems, 36:7093–7115, 2023.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Ties-merging: Resolving interference when merging models.Advances in Neural Information Processing Systems, 36:7093–7115, 2023

Reference 69

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Observation 39ace9f7-171a-468f-a174-71af05241a93 · outbound

This paper cites On the Inflation of KNN-Shapley Value.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging On the Inflation of KNN-Shapley Value

Reference 70

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Observation e36d49c2-0c2d-4fdb-82ab-83d2d8803fd8 · outbound

This paper cites Data valuation using reinforcement learning.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Data valuation using reinforcement learning

Reference 71

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Observation 2d6971f2-09d9-4a85-85fb-8c92df047222 · outbound

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

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 72

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Observation b7062587-6939-4e06-a014-9d3cf5a208e7 · outbound

This paper cites Character-level convolutional networks for text classification.Advances in neural information processing systems, 28, 2015.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Character-level convolutional networks for text classification.Advances in neural information processing systems, 28, 2015

Reference 73

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Observation aeefecca-af77-4605-8a28-8d332652688e · outbound

This paper cites Paws: Paraphrase adversaries from word scrambling.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Paws: Paraphrase adversaries from word scrambling

Reference 74

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:ec97e1fff9ae72f0c008864b347be7ed372df3fe83d5ce69077d82e72f146156

Observation 2dc8e83e-f759-426a-9c6f-053d70f7c38c · outbound

This paper cites Toward Efficient Influence Function: Dropout as a Compression Tool.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Toward Efficient Influence Function: Dropout as a Compression Tool

Reference 75

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source=pdf_text observed=2026-07-12T03:07:59.787733Z digest=sha256:46db36aa48ab0224725160ddaf42cf684ba132192e61fc4f6e279d9fbe396c1f

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This paper cites On task vectors and gradients.arXiv preprint arXiv:2508.16082, 2025.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging On task vectors and gradients.arXiv preprint arXiv:2508.16082, 2025

Reference 76

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This paper cites Multi-task code llms: Data mix or model merge?arXiv preprint arXiv:2601.21115, 2026.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Multi-task code llms: Data mix or model merge?arXiv preprint arXiv:2601.21115, 2026

Reference 77

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Observation a7578e75-6f95-454d-9820-16e21697561e · outbound

This paper cites Moreover, the Shapley coefficients form a convex combination, i.e., 1 n P S⊆[n]\{i} 1 ( n−1 |S| ) = 1.

Efficient Decentralized Multi-task Dataset Valuation via Model Merging Moreover, the Shapley coefficients form a convex combination, i.e., 1 n P S⊆[n]\{i} 1 ( n−1 |S| ) = 1

Reference 78

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