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Paper Citation Record · LEDGER

Forgetting of task-specific knowledge in model merging-based continual learning

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.23311.

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

pith.paper-citation-record.v1
2507.23311 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:30.538166Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6712c94-050c-49f0-ae67-6f6c479bcf80 · outbound

This paper cites Ainsworth, Jonathan Hayase, and Siddhartha Srinivasa.

Forgetting of task-specific knowledge in model merging-based continual learning Ainsworth, Jonathan Hayase, and Siddhartha Srinivasa

Reference 1

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Observation b16aa908-9ae5-4cbc-8144-2abbe65ef32a · outbound

This paper cites Where is the truth? the risk of getting confounded in a continual world.

Forgetting of task-specific knowledge in model merging-based continual learning Where is the truth? the risk of getting confounded in a continual world

Reference 2

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Observation 324e184d-1738-4100-a631-6d70e4b70bd4 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Forgetting of task-specific knowledge in model merging-based continual learning A continual learning survey: Defying forgetting in classification tasks

Reference 3

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Observation 081972d4-f46e-4d51-a0fa-984e44013cd7 · outbound

This paper cites Essentially no barriers in neural network energy landscape.

Forgetting of task-specific knowledge in model merging-based continual learning Essentially no barriers in neural network energy landscape

Reference 4

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Source-reported events for the cited work

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Observation 4edccc5c-0ce9-4bf4-abad-0d5a9f978ba4 · outbound

This paper cites How to merge your multimodal models over time? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.\ 20479--20491, 2025.

Forgetting of task-specific knowledge in model merging-based continual learning How to merge your multimodal models over time? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.\ 20479--20491, 2025

Reference 5

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Source-reported events for the cited work

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Observation 2e58ad9d-8287-49fb-a4ad-c53a98941fec · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks.

Forgetting of task-specific knowledge in model merging-based continual learning The lottery ticket hypothesis: Finding sparse, trainable neural networks

Reference 6

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Observation 066423b7-54c6-40e3-8dcd-0de2bfe3aaa7 · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of DNNs.

Forgetting of task-specific knowledge in model merging-based continual learning Loss surfaces, mode connectivity, and fast ensembling of DNNs

Reference 7

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Source-reported events for the cited work

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Observation d2872a7e-4ea1-4c92-8d85-875703d8a70b · outbound

This paper cites Shortcut learning in deep neural networks.

Forgetting of task-specific knowledge in model merging-based continual learning Shortcut learning in deep neural networks

Reference 8

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Observation 22872cb4-9b82-45ea-b53f-08b8c669c299 · outbound

This paper cites Goodfellow, Oriol Vinyals, and Andrew M.

Forgetting of task-specific knowledge in model merging-based continual learning Goodfellow, Oriol Vinyals, and Andrew M

Reference 9

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Observation ba298885-e242-4ca0-84af-fb5447fab992 · outbound

This paper cites Two complementary perspectives to continual learning: Ask not only what to optimize, but also how.

Forgetting of task-specific knowledge in model merging-based continual learning Two complementary perspectives to continual learning: Ask not only what to optimize, but also how

Reference 10

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Observation 4783eaa1-fdb5-4f4e-a27f-7999ef1bb72a · outbound

This paper cites Knowledge accumulation in continually learned representations and the issue of feature forgetting.

Forgetting of task-specific knowledge in model merging-based continual learning Knowledge accumulation in continually learned representations and the issue of feature forgetting

Reference 11

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Source-reported events for the cited work

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Observation 7a0f353a-9a80-4ff9-b4c9-a6dbc682953a · outbound

This paper cites Patching open-vocabulary models by interpolating weights.

Forgetting of task-specific knowledge in model merging-based continual learning Patching open-vocabulary models by interpolating weights

Reference 12

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Source-reported events for the cited work

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Observation 5f6deb85-da4f-4657-a226-53e7a44f26d8 · outbound

This paper cites Editing models with task arithmetic.

Forgetting of task-specific knowledge in model merging-based continual learning Editing models with task arithmetic

Reference 13

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Source-reported events for the cited work

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Observation 04e884e3-35d6-4f64-ae32-472d10c7292e · outbound

This paper cites Averaging weights leads to wider optima and better generalization.

Forgetting of task-specific knowledge in model merging-based continual learning Averaging weights leads to wider optima and better generalization

Reference 14

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Source-reported events for the cited work

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Observation 6daebfb7-3c02-40e5-ab9f-d63d041e2bf5 · outbound

This paper cites Continual learning with weight interpolation.

Forgetting of task-specific knowledge in model merging-based continual learning Continual learning with weight interpolation

Reference 15

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Source-reported events for the cited work

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Observation 8bd5fecc-733e-4c0e-a427-d598bfdf3197 · outbound

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

Forgetting of task-specific knowledge in model merging-based continual learning Learning multiple layers of features from tiny images

Reference 16

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Observation cc5e7dce-c176-4894-a638-987e45d91e0f · outbound

This paper cites Chunking: Continual learning is not just about distribution shift.

Forgetting of task-specific knowledge in model merging-based continual learning Chunking: Continual learning is not just about distribution shift

Reference 17

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Source-reported events for the cited work

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Observation d918ef93-2996-450f-8931-6fef25cf3232 · outbound

This paper cites Deep Model Fusion: A Survey.

Forgetting of task-specific knowledge in model merging-based continual learning Deep Model Fusion: A Survey

Reference 18

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Observation ac52a1f2-53ff-47ef-ba85-670fc0700ec2 · outbound

This paper cites Gradient episodic memory for continual learning.

Forgetting of task-specific knowledge in model merging-based continual learning Gradient episodic memory for continual learning

Reference 19

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Source-reported events for the cited work

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Observation 939134b8-0bdf-4647-baeb-fc2574b0036c · outbound

This paper cites MagMax : Leveraging model merging for seamless continual learning.

Forgetting of task-specific knowledge in model merging-based continual learning MagMax : Leveraging model merging for seamless continual learning

Reference 20

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Source-reported events for the cited work

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Observation 5dcb434f-5e44-4838-a88b-d3787e7df657 · outbound

This paper cites Weighted ensemble models are strong continual learners.

Forgetting of task-specific knowledge in model merging-based continual learning Weighted ensemble models are strong continual learners

Reference 21

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Source-reported events for the cited work

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Observation 197acfd3-af3b-4c2a-91bc-974bc0b5bfcf · outbound

This paper cites Merging models with fisher-weighted averaging.

Forgetting of task-specific knowledge in model merging-based continual learning Merging models with fisher-weighted averaging

Reference 22

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Observation 6fb152fe-1458-4435-9ba9-c012e3033d7f · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

Forgetting of task-specific knowledge in model merging-based continual learning Catastrophic interference in connectionist networks: The sequential learning problem

Reference 23

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Observation 92bbec08-3a2f-478b-b8a4-08cf2a60b365 · outbound

This paper cites Linear mode connectivity in multitask and continual learning.

Forgetting of task-specific knowledge in model merging-based continual learning Linear mode connectivity in multitask and continual learning

Reference 24

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Source-reported events for the cited work

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Observation 99209be8-7649-41cd-b932-1873c5824109 · outbound

This paper cites What is being transferred in transfer learning? Advances in Neural Information Processing Systems, 33: 0 512--523, 2020.

Forgetting of task-specific knowledge in model merging-based continual learning What is being transferred in transfer learning? Advances in Neural Information Processing Systems, 33: 0 512--523, 2020

Reference 25

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Source-reported events for the cited work

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Observation 4da8f558-0d5c-4dbb-9008-d97cea6ef380 · outbound

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

Forgetting of task-specific knowledge in model merging-based continual learning Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 26

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Source-reported events for the cited work

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Observation 0987a2d0-f7f8-46e4-9f43-8425b6f4fc33 · outbound

This paper cites Continual lifelong learning with neural networks: A review.

Forgetting of task-specific knowledge in model merging-based continual learning Continual lifelong learning with neural networks: A review

Reference 27

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Source-reported events for the cited work

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Observation e901efdd-47a2-496b-8b81-5963f69932b0 · outbound

This paper cites Effect of scale on catastrophic forgetting in neural networks.

Forgetting of task-specific knowledge in model merging-based continual learning Effect of scale on catastrophic forgetting in neural networks

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ee68080e-e95a-4139-8c46-9049aea6c1d0 · outbound

This paper cites A practitioner's guide to real-world continual multimodal pretraining.

Forgetting of task-specific knowledge in model merging-based continual learning A practitioner's guide to real-world continual multimodal pretraining

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6f2b0805-8cbf-43b6-a6af-49a2773b5f2c · outbound

This paper cites Continual learning and catastrophic forgetting.

Forgetting of task-specific knowledge in model merging-based continual learning Continual learning and catastrophic forgetting

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 42adf1f8-72a3-44bc-821e-5920f7497c19 · outbound

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

Forgetting of task-specific knowledge in model merging-based continual learning A comprehensive survey of continual learning: Theory, method and application

Reference 31

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T10:55:30.485741Z digest=sha256:58e21802a0bff6f571e341b8be8ef3b86f54e83cec329dc5f81a1ebc411f3f40

Observation 2d2ff6da-36cf-4df0-9264-ae97809328c9 · outbound

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

Forgetting of task-specific knowledge in model merging-based continual learning Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cca42ec2-6195-42c0-a03a-addf8b56387b · outbound

This paper cites Robust fine-tuning of zero-shot models.

Forgetting of task-specific knowledge in model merging-based continual learning Robust fine-tuning of zero-shot models

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T10:55:30.496863Z digest=sha256:b9c167428dae42e743524f609da754abf2c27956ef093e15f2d0541e6bdd0b68

Observation 9a79bf08-b3de-4199-9541-44b7ced5be19 · outbound

This paper cites Ties-merging: Resolving interference when merging models.

Forgetting of task-specific knowledge in model merging-based continual learning Ties-merging: Resolving interference when merging models

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T10:55:30.502038Z digest=sha256:3e66ca4231a29a78e2fce9419392e8c0bdfae37448374e751b94b1ad09aac56e

Observation 3b4a3935-6a17-4255-a588-5c470d46a430 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Forgetting of task-specific knowledge in model merging-based continual learning Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 35

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no resolver link, observed 2026-08-06T10:55:30.507630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:30.507630Z digest=sha256:72dd7b32508a8f762e4fa713a1c29168580e9e9a34ebad1c1532f223d643e57d

Observation 40405529-e1b2-4f88-b01b-8132192bc123 · outbound

This paper cites Fuse to forget: Bias reduction and selective memorization through model fusion.

Forgetting of task-specific knowledge in model merging-based continual learning Fuse to forget: Bias reduction and selective memorization through model fusion

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:55:30.688070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T10:55:30.513933Z digest=sha256:03755c69f137ed4b1a6f228d86d1a4895cb7f54610e1eefa3549b3229bce3897

Observation 66bc5abe-9d53-445b-b8bc-60dd214307b9 · outbound

This paper cites write newline.

Forgetting of task-specific knowledge in model merging-based continual learning write newline

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:30.521305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:30.521305Z digest=sha256:5dbe7dde7114579cc017393d7ae57ba0ff04bbb1c6c0e7df465539813f2a9973

Observation 58ea69b8-1d43-430f-a8b7-85157eb716e5 · outbound

This paper cites @esa (Ref.

Forgetting of task-specific knowledge in model merging-based continual learning @esa (Ref

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:30.527484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:30.527484Z digest=sha256:835be7e8ad34f9e8a8e6dd93f9f185c0cb86c118c284c4cd16cdab6ee404432d

Observation b9916fac-d31c-42fb-823a-711d2d5750a2 · outbound

This paper cites an unresolved cited work.

Forgetting of task-specific knowledge in model merging-based continual learning Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:30.533173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:30.533173Z digest=sha256:974ee55e40fdf99804ef0bc4365ffb5ef83bd1c7915deeaa1d26e7af297e5e00

Observation 40b60a07-bee9-4386-990d-dd765b239f56 · outbound

This paper cites an unresolved cited work.

Forgetting of task-specific knowledge in model merging-based continual learning Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:30.538166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:30.538166Z digest=sha256:121daf439cdfca769354ebd3619c32e90911216d17bf31ef107702f12071d409

Pith citing papers

No inbound Pith citation observations are available.