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Paper Citation Record · LEDGER

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2606.26629.

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

pith.paper-citation-record.v1
2606.26629 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:31:36.501753Z

measured 38 of 38 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:26:24.592466Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:26:24.858276Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68e25232-d1d4-43aa-a971-6c1e57ff8366 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 1

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Observation 95a25dd5-29a7-4011-826c-32746ad6d99b · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 2

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Observation 213ce856-70cb-44f9-8349-b6c74d064a2b · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-06-26T05:31:36.501753Z digest=sha256:f0da8af8cebd1f38325e81aac0764167bfc7c7c19815a7bffd1c55e4756c5cb3

Observation 13ce34c8-9849-458b-abdc-057218001450 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 4

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Observation 5b9cd66e-9830-42d3-a88b-af74b209d7d4 · outbound

This paper cites 2017 , doi=.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning 2017 , doi=

Reference 5

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Observation 0a64c2be-6635-4a79-9135-b0761a3e41a3 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 6

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Observation a2ab0b2b-b1a7-4fc8-8aeb-f13d632acb45 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 7

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Observation b936c322-15f6-4f69-8b74-cb34962f3409 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 8

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Observation 46a95387-e945-4069-8684-39d0433e2194 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 9

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Observation 7e1fb5fb-762b-49dd-bd5d-26ebbeb9a80b · outbound

This paper cites Efficient Lifelong Learning with.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Efficient Lifelong Learning with

Reference 10

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Observation 0ee26d02-50a0-41e7-aa82-c2f9b30f5d39 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 11

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Observation d02a59d6-18ee-439e-97f1-1817def1e8d2 · outbound

This paper cites , booktitle=CVPR, pages=.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning , booktitle=CVPR, pages=

Reference 12

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Observation 0f628350-a081-43ae-a529-fd3a6e750685 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 13

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Observation c7c83804-f35c-461a-b8ce-019f0e199569 · outbound

This paper cites Progressive Neural Networks.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Progressive Neural Networks

Reference 14

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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.

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Observation 56f58be4-3e01-4929-b6fb-5ac7190ee510 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 15

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Observation d5369234-1cb2-4a19-9b40-3f4f1efe239f · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=ICLR, year=.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=ICLR, year=

Reference 16

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Observation 258ae5fd-2fc3-4b19-914b-dc9e1a3d23aa · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

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Observation e660e968-9d0d-4e9c-9b0d-d3e2694178c2 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

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Observation b74f2377-a01a-4d16-8773-21715a981ddd · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning arXiv preprint arXiv:2509.06100 , year=

Reference 19

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verified exact
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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.

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Observation 4d15adc3-6d1b-40da-baa9-89f8f16bcdab · outbound

This paper cites Is Parameter Collision Hindering Continual Learning in.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Is Parameter Collision Hindering Continual Learning in

Reference 20

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Observation 4527b81d-c0a3-48bf-b4f5-77d58e9d0a28 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning 2024 , doi=

Reference 21

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Observation 4fe36717-1387-4b60-802e-73a50e563c2b · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 22

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Observation 0b716db5-7180-41d7-84c2-a9e16076ac29 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning 2022 , url=

Reference 23

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Observation 12e1e8c3-dd91-437c-9482-f05251d97de4 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning 2020 , doi=

Reference 24

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Observation b21f6a08-593b-4913-a510-cc54af7d1d10 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 25

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Observation f9d2ede2-5e8c-4c4b-9990-b024f882852b · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning 2023 , url=

Reference 26

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Observation 60ded6d7-9f31-475a-8fa6-ab0b9d12ebd8 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning and McDougall, Callum and MacDiarmid, Monte and Tamkin, Alex and Durmus, Esin and Hume, Tristan and Mosconi, Francesco and Freeman, C

Reference 27

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Observation 177f5d5d-87c9-419c-bc59-a81efebcdb78 · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on

Reference 28

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Observation 1f7c149d-6347-42e6-afe3-e08f9ee48b99 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Polysemanticity and Capacity in Neural Networks

Reference 29

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 30

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Observation c41c19a2-a19a-42aa-ab75-40f166ed1c05 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 31

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 32

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Observation ad9cf4af-892c-4016-862d-e7a120cbc194 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 33

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Observation 7ac43343-96a6-4b02-8e75-271097e366b5 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 34

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Observation 0a250260-8303-493e-bfaf-f3a3a95b94c2 · outbound

This paper cites an unresolved cited work.

From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 35

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Observation e229a89b-5458-4fc1-939a-a84240525e34 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 36

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Observation a2ca2506-4ce7-4e27-850f-8df6b97dd618 · outbound

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From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning Unresolved cited work

Reference 37

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Pith citing papers

Observation a84f72ec-e6fc-4013-a34c-cefd49d7f9ad · inbound

Omega-S: A Functional Resilience Index for LLM Fine-Tuning cites this paper.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning

Reference 29

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Source-reported events for the cited work

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