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Paper Citation Record · LEDGER

SEMU: Singular Value Decomposition for Efficient Machine Unlearning

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2502.07587.

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

pith.paper-citation-record.v1
2502.07587 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:19:04.561941Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:05:53.587484Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20cd365b-23fd-475a-a6cf-a0ba79432104 · outbound

This paper cites write newline.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning write newline

Reference 1

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no resolver link, observed 2026-08-08T12:19:04.444285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.444285Z digest=sha256:394fc9ad0c97c4291b38295ee03211f1891269d28ffbb723270d0482d0fa7b7c

Observation cdb12589-76e5-47b2-9b69-0c30966d4b64 · outbound

This paper cites Gradient Surgery for One-shot Unlearning on Generative Model.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Gradient Surgery for One-shot Unlearning on Generative Model

Reference 2

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verified exact
local_arxiv, observed 2026-08-08T12:19:04.934731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.449789Z digest=sha256:9c5190627b91b36e741c4578d23e92341645eac73cc53284828e0731060e68ff

Observation 2b50d659-fd25-4ecf-9561-bd34edd0eaca · outbound

This paper cites A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N

Reference 3

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no resolver link, observed 2026-08-08T12:19:04.454093Z

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source=arxiv_source observed=2026-08-08T12:19:04.454093Z digest=sha256:43d6d417a4c4c9132e3c3a58ab1eabf4727ce49d2410966e62b25976c4fed80c

Observation ccf47fc2-e5da-4dad-85fb-d8193b0dfce0 · outbound

This paper cites Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary

Reference 5

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no resolver link, observed 2026-08-08T12:19:04.461872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.461872Z digest=sha256:f78ef8ff7da3e0fdaa21e46bffe95a4d9cb2aac1307908c70ff72b0bc499d381

Observation 14418ee1-056b-4972-9ed4-84a41452dc5c · outbound

This paper cites T., Wu, J., and Liu, Z.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning T., Wu, J., and Liu, Z

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.111849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.465553Z digest=sha256:ba97b7bd260a1c96f76b2189d8c114093f098d674f004fde19fe4c61f8170b3d

Observation b3a6ef76-f6b3-4709-890f-940d34533c55 · outbound

This paper cites and Shah, N.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning and Shah, N

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.102916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.469506Z digest=sha256:460b1705b938a50d0ab82af65f383c1e11f5426539382dadf1394d9ecfcfc80d

Observation e9cfa66f-3852-40b2-bcad-efcaf7d0603c · outbound

This paper cites S., Tarun, A.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning S., Tarun, A

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.474428Z digest=sha256:7a87d439a6e201dfcdeda681a308395332c182427e2236cecf9fb27fabe9d013

Observation c449f0b9-84c4-4c11-b7aa-9cf987b2754f · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 9

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no resolver link, observed 2026-08-08T12:19:04.477649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.477649Z digest=sha256:df2f07a1acb5c499887e873d4b140416410712f0bafc762f7f5996dc1681504f

Observation 123c2696-62ef-4dd9-b4e6-8efe7de45c4a · outbound

This paper cites Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.093029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.481757Z digest=sha256:382e8945cffa50b6dd8e40e6ae8eb88eb191e9033f565b93b0c14c5be64796df

Observation 0987e63b-00d3-438c-94db-610dbb75f53d · outbound

This paper cites Erasing concepts from diffusion models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Erasing concepts from diffusion models

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.082995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.484912Z digest=sha256:0b1eb7c7b84269f9ffa508981861d246100c62a45b31ca3be1d9b13b2f072149

Observation dc8dd375-cbc1-4e90-8654-b627857c4562 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.488233Z digest=sha256:6858320f315359640cfd7f00a49a3a999ff25d365fb991dc421dc6dac8c5a888

Observation 7ff21144-0619-40c3-9763-cada3c2ba6b2 · outbound

This paper cites Denoising diffusion probabilistic models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Denoising diffusion probabilistic models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.491649Z digest=sha256:186dc283c59faba291d4512737112e474579620316d713833c2873aa2b86ea3b

Observation 232f9ceb-956a-4691-a04c-1038e8de3f6e · outbound

This paper cites an unresolved cited work.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-08T12:19:04.494662Z digest=sha256:063e091b49836f86d263b6e8618097419c001e3e1b6691aa539b22e83cb0c2ff

Observation 985633a5-d703-48c6-94f8-2021b346acd8 · outbound

This paper cites and Gugger, S.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning and Gugger, S

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.053141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.497658Z digest=sha256:55040c697c9a693b0b8c8f65c19b699983b336e888d16978b48a8d25a3aea5ea

Observation 167cc5e1-3eba-4b8e-a7fe-586f3a048800 · outbound

This paper cites A., Chaudhuri, K., and Zou, J.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning A., Chaudhuri, K., and Zou, J

Reference 16

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no resolver link, observed 2026-08-08T12:19:04.500643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.500643Z digest=sha256:4ca35a4cd80e05401e64988de70ebdb1d5696b9d8f84bcdd933e8b9f4b08d236

Observation 5287a640-8138-4224-bcee-1820b6f7eb9a · outbound

This paper cites Model sparsity can simplify machine unlearning.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Model sparsity can simplify machine unlearning

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.035747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.503560Z digest=sha256:b5dde398e55f5cca53b93ca5114e219516c04c67d57e9fa3e31d99cc241f38db

Observation 4797fc39-0683-4cc0-8cbc-ceeaac2035ab · outbound

This paper cites Deep unlearning: Fast and efficient gradient-free class forgetting.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Deep unlearning: Fast and efficient gradient-free class forgetting

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.024459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.506931Z digest=sha256:41099fcb47bfa57d1d9ef3a63f86c3d21da23194a49fc0596345a596c600144e

Observation 1e106570-fcb1-43a4-b9ee-b1d583fe627f · outbound

This paper cites and Chaudhuri, K.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning and Chaudhuri, K

Reference 19

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no resolver link, observed 2026-08-08T12:19:04.510088Z

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source=arxiv_source observed=2026-08-08T12:19:04.510088Z digest=sha256:5195be8f52a81502fe62d830721b8e67ac2e49dd20fd12807488585bd6af2d4e

Observation d8915748-ba31-4458-9a83-ffded72ed479 · outbound

This paper cites Towards unbounded machine unlearning.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Towards unbounded machine unlearning

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.013127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.516891Z digest=sha256:c8fdc94be6a3ee59b967476af517f3e8744859280e444597d3d715f418c889aa

Observation de7fb3e5-9845-4aff-983c-389dab7ea4d0 · outbound

This paper cites Machine unlearning for image-to-image generative models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Machine unlearning for image-to-image generative models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:19:05.000698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.521614Z digest=sha256:7d4e1dcda450db2963e12de9be50d99ce15ff109d38dcf008500efd91c6c84c4

Observation a9ff1b29-c451-4aed-9369-c2e4eb9e713c · outbound

This paper cites Feature unlearning for pre-trained gans and vaes.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Feature unlearning for pre-trained gans and vaes

Reference 22

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doi, observed 2026-08-08T12:19:04.595122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.525479Z digest=sha256:4d4f1f354f56c02ad8fa2ee86d146b29b57ffb3f3a3f7ccc204ad315a168e2c7

Observation 8d41c578-fe3d-47c4-9110-769a9ec0c4c1 · outbound

This paper cites Descent-to-delete: Gradient-based methods for machine unlearning.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Descent-to-delete: Gradient-based methods for machine unlearning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:19:04.988889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.529228Z digest=sha256:5175ccaec627dc00ee44b6daa7ba51067ba7508d7790025d905ade4b9aa6dd53

Observation 91708e5b-059b-4bd9-a14f-eccd42f98fa5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning High-resolution image synthesis with latent diffusion models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.532689Z digest=sha256:42ddfe158a96900132fc800ecb899bc6c78992a708b61d579ec8f4245be41f93

Observation 606da80d-cc44-4265-9eb7-47efaa7c34f9 · outbound

This paper cites Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models

Reference 25

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raw_fallback, observed 2026-08-08T12:19:04.971407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.536094Z digest=sha256:c241a4636addec3738cb717782fe6dffdf7b1a245dd2e2436f6347c3ef1afb6b

Observation 41c7b2fa-9261-4380-89b5-983d9809a468 · outbound

This paper cites an unresolved cited work.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-08T12:19:04.539608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.539608Z digest=sha256:fabe1d23328dbec2bd7c57b45c8daab75c7dc06abd6f5aee9bfc4a4f891d19f1

Observation 776342d6-830b-44c3-8410-50a175d968d1 · outbound

This paper cites Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification

Reference 27

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no resolver link, observed 2026-08-08T12:19:04.542983Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.542983Z digest=sha256:febdb09765aa46477c3590b897059ffa7eef066c0f9252c80ec50beb642767b7

Observation 551cb845-ee58-4c5e-89fe-e1f4ad7f2cac · outbound

This paper cites Generative Adversarial Networks Unlearning.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Generative Adversarial Networks Unlearning

Reference 28

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no resolver link, observed 2026-08-08T12:19:04.547100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.547100Z digest=sha256:a47fa5c7721ec8d43f511fbf0297017dbf1af5a173a4e9e21b32e62bfa43731f

Observation e9556cd2-22ea-4853-aaeb-16bebec3b9b4 · outbound

This paper cites K., Chundawat, V.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning K., Chundawat, V

Reference 29

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raw_fallback, observed 2026-08-08T12:19:04.954957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.552027Z digest=sha256:749a03e8aa731f7ad03ed5924ed988b52c91b8cf964497c320462cb54c8d9f3f

Observation bf05c745-eb39-4083-97da-445fba8b6065 · outbound

This paper cites Unrolling SGD: Understanding Factors Influencing Machine Unlearning.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Reference 30

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no resolver link, observed 2026-08-08T12:19:04.555511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.555511Z digest=sha256:22d4a6e27d3a90f67c03972011fa45f5e6e327b7e7f173fd9f94ecf148602774

Observation fc953ad2-bd99-4a2c-93a3-72e81e236902 · outbound

This paper cites Machine Unlearning of Features and Labels.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Machine Unlearning of Features and Labels

Reference 31

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no resolver link, observed 2026-08-08T12:19:04.558395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:19:04.558395Z digest=sha256:d440b0c7ac303187f6ae2fbb52827f9b07fcdde47fe455d73ded2a4b476ce273

Observation 827c5895-dbce-4a7b-8cfc-a9729c681917 · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-08T12:19:04.945293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T12:19:04.561941Z digest=sha256:19fc3d7cc2e25d757543be43e3e0cb58a9f53ee768a43027dec44cbe087fb824

Pith citing papers

Observation 9f82a2fc-afc1-4c57-a43a-5523302782b0 · inbound

UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning cites this paper.

UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning SEMU: Singular Value Decomposition for Efficient Machine Unlearning

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:05:53.587484Z digest=sha256:39e4d8bcbd2eb20754ff460a049068d6f04561485cfd0f7b7bc2789d68d86bdb