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Paper Citation Record · LEDGER

Can Scale Save Us From Plasticity Loss in Large Language Models?

As of 9 August 2026, this Paper Citation Record lists 100 of 228 outbound references and 0 inbound Pith citation observations for arXiv:2606.24752.

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

pith.paper-citation-record.v1
2606.24752 v1

Coverage vector

measured 100 of 228 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T23:26:57.147374Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

100 of 228 outbound references displayed

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  • unresolved95
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb217d6d-c690-4ccc-9f4c-f5cd76062ef4 · outbound

This paper cites , author=.

Can Scale Save Us From Plasticity Loss in Large Language Models? , author=

Reference 1

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Observation 9c6e2bcc-da03-490f-8ca1-02af4bea9bba · outbound

This paper cites The Early Word Catches the Weights , url =.

Can Scale Save Us From Plasticity Loss in Large Language Models? The Early Word Catches the Weights , url =

Reference 2

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Observation 1b17de25-a478-4573-bb4e-e94fb3a7428c · outbound

This paper cites On Warm-Starting Neural Network Training , year =.

Can Scale Save Us From Plasticity Loss in Large Language Models? On Warm-Starting Neural Network Training , year =

Reference 3

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This paper cites 39th International Conference on Machine Learning , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 39th International Conference on Machine Learning , pages=

Reference 4

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This paper cites 10th International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 10th International Conference on Learning Representations , year=

Reference 5

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This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 6

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Observation 2878dc90-29e4-4ec4-ada3-17e26cfa8f77 · outbound

This paper cites Nature , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Nature , volume=

Reference 7

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This paper cites 41st International Conference on Machine Learning , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 41st International Conference on Machine Learning , year=

Reference 8

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Can Scale Save Us From Plasticity Loss in Large Language Models? 2024 , note=

Reference 9

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Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 10

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Can Scale Save Us From Plasticity Loss in Large Language Models? 12th International Conference on Learning Representations , year=

Reference 11

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Observation d0a4ebd4-a5a1-4194-a159-17075228b33c · outbound

This paper cites Rupam Mahmood , title=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Rupam Mahmood , title=

Reference 12

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This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 13

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Observation 97b5c321-af23-4578-b688-11249b6df1c3 · outbound

This paper cites 3rd Conference on Lifelong Learning Agents , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 3rd Conference on Lifelong Learning Agents , year=

Reference 14

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Can Scale Save Us From Plasticity Loss in Large Language Models? 3rd Conference on Lifelong Learning Agents , year=

Reference 15

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Can Scale Save Us From Plasticity Loss in Large Language Models? 4th Conference on Lifelong Learning Agents , year=

Reference 16

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Thirteenth International Conference on Learning Representations , year=

Reference 17

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This paper cites The Thirteenth International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? The Thirteenth International Conference on Learning Representations , year=

Reference 18

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Observation b9aa965b-ed80-4313-bdf3-7e5f5b62c176 · outbound

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 19

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Fourteenth International Conference on Learning Representations , year=

Reference 20

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Can Scale Save Us From Plasticity Loss in Large Language Models? Forty-second International Conference on Machine Learning , year=

Reference 21

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Reference 22

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Fourteenth International Conference on Learning Representations , year=

Reference 23

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 24

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Can Scale Save Us From Plasticity Loss in Large Language Models? Resetting the Optimizer in Deep

Reference 25

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Can Scale Save Us From Plasticity Loss in Large Language Models? 2026 , publisher =

Reference 26

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Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 27

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Can Scale Save Us From Plasticity Loss in Large Language Models? Advances in neural information processing systems , volume=

Reference 28

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Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 29

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Can Scale Save Us From Plasticity Loss in Large Language Models? 2018 , publisher=

Reference 30

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Can Scale Save Us From Plasticity Loss in Large Language Models? , title =

Reference 31

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Reference 32

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Can Scale Save Us From Plasticity Loss in Large Language Models? International Conference on Learning Representations , year=

Reference 33

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Can Scale Save Us From Plasticity Loss in Large Language Models? Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer , url =

Reference 34

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Can Scale Save Us From Plasticity Loss in Large Language Models? When Attention Collapses: How Degenerate Layers in

Reference 35

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Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the 40th International Conference on Machine Learning , articleno =

Reference 36

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Twelfth International Conference on Learning Representations , year=

Reference 37

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Can Scale Save Us From Plasticity Loss in Large Language Models? The Twelfth International Conference on Learning Representations , year=

Reference 38

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Can Scale Save Us From Plasticity Loss in Large Language Models? A Comprehensive Survey of Continual Learning: Theory, Method and Application , year=

Reference 39

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Can Scale Save Us From Plasticity Loss in Large Language Models? Frontiers in psychology , volume=

Reference 40

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Observation d187b74a-5ce3-4416-a617-df67d0c95f22 · outbound

This paper cites Psychology of Learning and Motivation , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Psychology of Learning and Motivation , volume=

Reference 41

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Observation 4469cc60-ac80-4a0c-ab4e-d278461946d8 · outbound

This paper cites French , keywords =.

Can Scale Save Us From Plasticity Loss in Large Language Models? French , keywords =

Reference 42

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Observation c9f241f8-5cc8-43c6-823a-bb4aba4a44a4 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the national academy of sciences , volume=

Reference 43

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Observation 2365676e-45e9-465d-bbbf-4d479aef5c00 · outbound

This paper cites and Nguyen, Thien Huu.

Can Scale Save Us From Plasticity Loss in Large Language Models? and Nguyen, Thien Huu

Reference 44

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Observation b87b3a79-aff4-406d-82a4-935a42e8fae8 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:2b2cbd0217dc937d12472509dc34f10ef4af7459895271ed725b08768111c685

Observation 57906729-ec67-448a-a912-826edad0fb8f · outbound

This paper cites International conference on machine learning , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? International conference on machine learning , pages=

Reference 46

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Observation b126caa0-3b44-4720-925b-cd275bfb9be6 · outbound

This paper cites Proceedings of the European conference on computer vision (ECCV) , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the European conference on computer vision (ECCV) , pages=

Reference 47

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:85501c7f9c3767716cf7245a4ca70ae5bc4855d561b35576f2ef10db50a0eb92

Observation 139fd9d3-e247-4faf-b5ed-c5d94bf840d4 · outbound

This paper cites Nature Machine Intelligence , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Nature Machine Intelligence , volume=

Reference 48

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:cf9637e31e3931564923430a1e593886e80cd55b7720655093eeb20ce4792b14

Observation 083f17ba-8078-4416-b659-09d7c322fe6c · outbound

This paper cites INFORMS Journal on Applied Analytics , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? INFORMS Journal on Applied Analytics , volume=

Reference 49

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:cc39c5b304967fb1a9898e3d95dabf3dd1c78f478e22b693bca95e49b78a2e24

Observation dfb987ae-c23e-4c1a-bfca-cec88608b787 · outbound

This paper cites Machine Learning , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Machine Learning , pages=

Reference 50

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:b49f147b395aa0317e7c74b88402d1e34e901dbade85ff64708c9d9834f0467e

Observation 8ddb0f2c-22b0-42e1-a7d2-b307908f8975 · outbound

This paper cites Proceedings of machine learning and systems , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of machine learning and systems , volume=

Reference 51

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:ca0fc999e1d1f4baea7e2d08080fd35cfdb73f43c53c13cbaec31771ab27f7c5

Observation e89b746f-3e2d-4f61-84d2-2d397136a8cb · outbound

This paper cites and Pechenizkiy, Mykola and Mocanu, Decebal Constantin , title =.

Can Scale Save Us From Plasticity Loss in Large Language Models? and Pechenizkiy, Mykola and Mocanu, Decebal Constantin , title =

Reference 52

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:17e7440d88b8dde5ae9b3a7f8cdba4c330e6da036ade3f35c92e59377f6056f2

Observation 9a6bad98-dc94-44c3-9596-120849ccc1e4 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? The Twelfth International Conference on Learning Representations , year=

Reference 53

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:2b8abf68473e0e048b44c60f2953d7869804199a4feae8e3802ee0f6b59322ea

Observation 6a5062b2-4deb-4701-bd86-9689a322afe7 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:dde2d752f119f43c7c1b3a54601aa5702901fa668df2c011bcdacdc21912c0b4

Observation 4cd4321f-4733-44c9-bf9f-c0d2ebff4dea · outbound

This paper cites 2018 , publisher=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2018 , publisher=

Reference 55

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:fca64945d15b7aeb789425e633b8b6cad173a169eb885b7e56c2b8a23814658d

Observation 9c240f88-eba0-458c-90a9-5af287388430 · outbound

This paper cites International conference on machine learning , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? International conference on machine learning , pages=

Reference 56

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:715fa7ad750333625baba53bef1a689be0e03c7ae1f2b17d28ac70d0e71332ae

Observation 9d9f5a4b-14a9-44b0-96eb-8f6493ea5b9e · outbound

This paper cites Advances in neural information processing systems , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Advances in neural information processing systems , volume=

Reference 57

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:ee1e17ed108f0555d587e87127b1cc839657fa5611798aedbf7b23103a3670cc

Observation 74c145e4-c3eb-40f3-9bbe-5a53e49858ac · outbound

This paper cites 2019 , url=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2019 , url=

Reference 58

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:84ee6fa70035a5c31530adb190d9168cac16c51d0687453b3bf4b41ef021fa69

Observation 7f104e83-c1ab-48b8-94da-56493efb838a · outbound

This paper cites Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics , pages =.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics , pages =

Reference 59

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:eaeca128ab1ee39888795d4f7a8064dab2ab14c3422e40f833b5d3adc202b347

Observation 216aa91a-2796-4148-85e5-09953a484b46 · outbound

This paper cites IEEE International Conference on Computer Vision , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? IEEE International Conference on Computer Vision , pages=

Reference 60

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:80ecf7393a393d38a06a20515e995c011e344c11b18569f12e8760756ba499bf

Observation c2dc2903-b6a2-414d-b3c2-d3a0bfc01bb1 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 61

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:3e32009cd1c375c9e29ce0ca6e91716a5cc1f88de7a51c258d42563886c76cf8

Observation 4da27fb8-9988-4a7b-b973-b0713cc5ae77 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:0af92f50b5c8258c057f7f6d86f833a4db42c365e40df876c12ac86c659827a1

Observation 129bd4cd-dddc-439f-a1f9-6d2e57c48e88 · outbound

This paper cites Proceedings of the IEEE , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the IEEE , volume=

Reference 63

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:cfa55a7f74b1f729b0229d661274ef51b30d1c74d70b181473f8be94ceea4e9b

Observation 54cdbb49-3b57-40ae-9e72-1df1961ecdfe · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:e177d2c205cac8d05f028ab0298b10c3c08e5246dcc196ac57210222e866ea17

Observation 443f99b7-cb30-4724-92ec-f3736acda710 · outbound

This paper cites Advances in neural information processing systems , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Advances in neural information processing systems , year=

Reference 65

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:c7cf9cf6ce01d32a1252f6c3863d2447431c1aa4abeb6d32558ca2c26ee8d780

Observation 9e441efa-595c-4119-a327-5c5d85c79e7a · outbound

This paper cites 9th International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 9th International Conference on Learning Representations , year=

Reference 66

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:245513192cfbcc710c37ad0e6be46799050093e80fac5af83ca5dae5a6912e04

Observation 3982b4cb-8b19-4480-b9d9-673796161c51 · outbound

This paper cites 2024 , eprint=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2024 , eprint=

Reference 67

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:ed93268a0c7ce94e8af0f9c1ed1759bf72aada9b8ed86eef1f96fb2a0cf68ae2

Observation 793dd782-382e-4b8e-8ba0-b3f33ee7c8ce · outbound

This paper cites ICML Workshop on Deep Learning for Audio, Speech and Language Processing , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? ICML Workshop on Deep Learning for Audio, Speech and Language Processing , year=

Reference 68

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:4de4be1f60429d5c1e17fbaddca819793bccddad7885d8d3129d2404c075cab0

Observation 852bc18f-1942-444c-add4-07f4020b67eb · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Can Scale Save Us From Plasticity Loss in Large Language Models? Gaussian Error Linear Units (GELUs)

Reference 69

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local_arxiv, observed 2026-07-04T17:50:00.015323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:76c3b8ec15509c3ac20459fab0b6ef24e7072dbf837cf4acbaf1da346051c1e6

Observation 7d2a03cc-4e78-428f-a316-58048b3a1d43 · outbound

This paper cites Searching for Activation Functions.

Can Scale Save Us From Plasticity Loss in Large Language Models? Searching for Activation Functions

Reference 70

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metadata mismatch
local_arxiv, observed 2026-07-04T17:50:00.017838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:86dd0d07412b05711097d1da4f7eefe982ffe0e0ba8d1b27870f1094a30108fb

Observation 9bce97f8-4bc1-49c3-a825-9dcaccb9f30b · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 71

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Observation 403d898b-3f36-4a7e-a11f-721db78b2135 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:664f1f3d8e28b9e52d5ff15c3b6084f746e05e0d6dc0f3fbfe29253cff99c662

Observation b317d558-75ff-4bad-974c-0791cd57f934 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 73

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Observation 00881b04-0875-41c8-baa1-ad9e5682e651 · outbound

This paper cites AAAI , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? AAAI , volume=

Reference 74

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:d2d1f8958f5060de912d6fe4767c4f634b64e4aec82c3329cb8b9c1f148af7ec

Observation 6838dc90-ab0e-4edd-a1ee-4bdd2bd5b3d1 · outbound

This paper cites MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters.

Can Scale Save Us From Plasticity Loss in Large Language Models? MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters

Reference 75

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metadata mismatch
arxiv_id, observed 2026-07-04T17:50:00.020854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:d4c505a1f000610b402d65c8ff65b47468f2423c19c08ad759cd76fe69128234

Observation 03bbc532-6ff3-48c6-b1e2-cbd6d8319c18 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 76

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:76ab84cbe720daad46dad912d7b62139b4071e4f9911a5e80715e8e06ffd54bf

Observation f6e331d2-a0fa-4079-9c09-cab204a50403 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 77

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:f9abd48a4e8905481005fdfef300d499ae4a59ba910493898da66ff1defb5059

Observation 2db18e1c-8249-4a8e-98a7-72b8cc5c4265 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 78

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:af543395b8355e6d3200749ef50f50956c2fabbdadd26226353a68f4e3abf7a0

Observation fb4d5fbe-dd57-42b6-b3c9-d0856bb4fe45 · outbound

This paper cites 2004 , publisher=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2004 , publisher=

Reference 79

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Observation 0609f128-bf6a-4b59-8fc5-421767e7e269 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:3c14c0dfa6e12a2a3cda193decf5b2da801eab16f09c0f4b7976aa72307c6c3d

Observation a058e7a5-c887-4933-903f-99fc5fda6e31 · outbound

This paper cites Implicit Regularization in Deep Learning May Not Be Explainable by Norms , volume =.

Can Scale Save Us From Plasticity Loss in Large Language Models? Implicit Regularization in Deep Learning May Not Be Explainable by Norms , volume =

Reference 81

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Observation 39c216e1-65bd-44a9-bed3-c623241b1ed6 · outbound

This paper cites 7th International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 7th International Conference on Learning Representations , year=

Reference 82

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9f1d7b38-2d4d-4f97-a06e-1895ad287f97 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 31e3c03f-699c-4b28-bad4-cae7a5140c9c · outbound

This paper cites Understanding Batch Normalization , volume =.

Can Scale Save Us From Plasticity Loss in Large Language Models? Understanding Batch Normalization , volume =

Reference 84

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8878a09a-d513-4ed9-b57a-c5de0ae3f035 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e12908e-d975-44e6-bfce-0f5eac31bb8b · outbound

This paper cites IEEE transactions on neural networks , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? IEEE transactions on neural networks , volume=

Reference 86

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 994cc456-1270-4819-8c1c-6f7953b4c7a2 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 87

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:8fcc8740e0b647095f70e38da01f0b5aea8b1206921a0f1edc4d472907ef10a5

Observation 0a792df8-e5cc-4543-a2f4-b076b9f2d607 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 88

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e5d6f6f0-feb4-447a-8160-cd0606ee853d · outbound

This paper cites 2016 , eprint=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2016 , eprint=

Reference 89

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:981246caa82c866f9268e8f8e7b1d484c58e4b69ade740ca8e20e07da935ba9d

Observation 478f441d-3ffb-447d-9ff4-58e201b95a3b · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 90

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:bebe943458b694819769528d1771aa8b5255dc8c3b747fb1f5ffce86abb5e571

Observation 063eea47-0102-43ab-99b5-5c3ed1f0d4a4 · outbound

This paper cites Dying ReLU and initialization: Theory and numerical examples.

Can Scale Save Us From Plasticity Loss in Large Language Models? Dying ReLU and initialization: Theory and numerical examples

Reference 91

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doi, observed 2026-06-25T23:28:41.040708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:c03194fa55ffc5baad6240a8d5151e17abcf2e57ed9438a8812a9205185c9e83

Observation a8c1e1b5-bea4-4ab6-9fa9-b5a6be131168 · outbound

This paper cites 2020 , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2020 , pages=

Reference 92

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Source-reported events for the cited work

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Observation d79fad2f-dc2a-4121-8bdf-b2533643bba4 · outbound

This paper cites 2017 , archivePrefix=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2017 , archivePrefix=

Reference 93

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Source-reported events for the cited work

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Observation 9c759af5-749e-4812-a16d-3ec8eef8d857 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Can Scale Save Us From Plasticity Loss in Large Language Models? IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 94

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 631d1c5b-e5d8-4ef0-b3d0-6e93babb4811 · outbound

This paper cites Measuring Saturation in Neural Networks , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Measuring Saturation in Neural Networks , year=

Reference 95

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:643959a1e6ab101eb496a51532919236d783d5365f55202b2621786ba8a6553f

Observation 6c8fd99b-3500-4c39-958c-0e29418cd494 · outbound

This paper cites 2012 , publisher=.

Can Scale Save Us From Plasticity Loss in Large Language Models? 2012 , publisher=

Reference 96

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:e59c8517ef2dd4cfb7a7f0c74aadccee0e3ab2067cf0bf4b3e12192f51bc3dbf

Observation 34bf17ed-0a82-4a8f-b585-f6f3a471e65f · outbound

This paper cites International Conference on Learning Representations , year=.

Can Scale Save Us From Plasticity Loss in Large Language Models? International Conference on Learning Representations , year=

Reference 97

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:64fdb772ff4df5ddda4c668c1967297ea161d5b83fbeb7af4dad668c5792a17f

Observation dac5cc5a-ba50-4c20-a7c7-766fe2ff16d3 · outbound

This paper cites Mechanization of Thought Processes, Proceedings of a Symposium Held at the National Physical Laboratory , pages=.

Can Scale Save Us From Plasticity Loss in Large Language Models? Mechanization of Thought Processes, Proceedings of a Symposium Held at the National Physical Laboratory , pages=

Reference 98

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 977ce818-9d3c-4602-acdb-74c4ee136218 · outbound

This paper cites an unresolved cited work.

Can Scale Save Us From Plasticity Loss in Large Language Models? Unresolved cited work

Reference 99

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unresolved
no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:fd371aa9c836e64a247ad212269180841718c83bd41b54f493c9fdfe21e307c4

Observation 2e4a81b1-dbf5-418a-8ff7-82f241f55e82 · outbound

This paper cites SIGART Bull.

Can Scale Save Us From Plasticity Loss in Large Language Models? SIGART Bull

Reference 100

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no resolver link, observed 2026-06-25T23:26:57.147374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:ae646cf59e235924f25cdf6c64a5bd7f87d50859b046db83f605cefe6a9c2fc2

Pith citing papers

No inbound Pith citation observations are available.