Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:25.633250Z
Paper Citation Record · LEDGER
Soft Weighted Machine Unlearning
As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.18783.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
- verified exact3
- verified fuzzy44
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1a6c7f06-e0a9-4961-9a14-49f8a9ed0e60 · outbound
This paper cites Fast model debias with machine unlearning.
Soft Weighted Machine Unlearning Fast model debias with machine unlearning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:31.365945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ab61f9c-4925-4157-904d-5e8cfae1f6c0 · outbound
This paper cites Fair machine unlearning: Data removal while mitigating disparities.
Soft Weighted Machine Unlearning Fair machine unlearning: Data removal while mitigating disparities
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:31.114227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation abd3f7b3-89c9-4a0c-900b-3947df54c440 · outbound
This paper cites Backdoor defense with machine unlearning.
Soft Weighted Machine Unlearning Backdoor defense with machine unlearning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:30.864180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4632cb86-419a-447e-bb5d-c7fe91a0a697 · outbound
This paper cites Recommendation unlearning via influence function.ACM Transactions on Recommender Systems, 2023.
Soft Weighted Machine Unlearning Recommendation unlearning via influence function.ACM Transactions on Recommender Systems, 2023
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:30.684290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ce049da-d74d-4a87-a90a-d514150ddafa · outbound
This paper cites Delta- influence: Unlearning poisons via influence functions.arXiv preprint arXiv:2411.13731, 2024.
Soft Weighted Machine Unlearning Delta- influence: Unlearning poisons via influence functions.arXiv preprint arXiv:2411.13731, 2024
Reference 5
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T14:30:26.184519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3215561f-cc2a-474f-9bab-ff6c71a51c7c · outbound
This paper cites Machine unlearning in learned databases: An experimental analysis.Proceedings of the ACM on Management of Data, 2(1):1–26, 2024.
Soft Weighted Machine Unlearning Machine unlearning in learned databases: An experimental analysis.Proceedings of the ACM on Management of Data, 2(1):1–26, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:30.499442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3cff057d-e78a-407d-8b91-01a256a3cfb9 · outbound
This paper cites A duty to forget, a right to be assured? exposing vulnerabilities in machine unlearning services.
Soft Weighted Machine Unlearning A duty to forget, a right to be assured? exposing vulnerabilities in machine unlearning services
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:30.363449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5f78742-cbb3-4665-bf3a-bf8a23032262 · outbound
This paper cites Machine unlearning via null space calibration.
Soft Weighted Machine Unlearning Machine unlearning via null space calibration
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:30.194419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9622a44-e125-4b3d-8054-ba7c29855516 · outbound
This paper cites an unresolved cited work.
Soft Weighted Machine Unlearning Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:30:30.017078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 76ec4cbb-f02e-4f80-bc33-ff577fdb880c · outbound
This paper cites an unresolved cited work.
Soft Weighted Machine Unlearning Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:30:29.850482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 66d153c8-1b1f-4fb0-93f4-9167f9c066bc · outbound
This paper cites Adversarial robustness of linear models: regularization and dimensionality.
Soft Weighted Machine Unlearning Adversarial robustness of linear models: regularization and dimensionality
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:29.713697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation afc41230-71ef-4e24-95b9-3055bb0ca55b · outbound
This paper cites Model sparsity can simplify machine unlearning.
Soft Weighted Machine Unlearning Model sparsity can simplify machine unlearning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:29.571760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b66de4df-b64c-45a3-af88-6cffa24cffe5 · outbound
This paper cites Towards un- bounded machine unlearning.
Soft Weighted Machine Unlearning Towards un- bounded machine unlearning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:29.421382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6160eea2-6c05-42c2-aa63-94f1e15b068d · outbound
This paper cites Towards Adversarial Evaluations for Inexact Machine Unlearning.
Soft Weighted Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.232341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa348f08-1185-4950-b18a-bd80db6d0461 · outbound
This paper cites Unlearn what you want to forget: Efficient unlearning for llms.
Soft Weighted Machine Unlearning Unlearn what you want to forget: Efficient unlearning for llms
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:29.260899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f1b6f27-467b-428c-8caa-c1aa50125f7f · outbound
This paper cites Understanding black-box predictions via influence functions.
Soft Weighted Machine Unlearning Understanding black-box predictions via influence functions
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:29.107736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 92472f0e-d870-425f-9796-614ad49f1b66 · outbound
This paper cites Calmon, and Himabindu Lakkaraju.
Soft Weighted Machine Unlearning Calmon, and Himabindu Lakkaraju
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:28.911608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 699bcf1b-e7b9-406a-b386-e4b6a8cbc718 · outbound
This paper cites Debiasing Machine Unlearning with Counterfactual Examples.
Soft Weighted Machine Unlearning Debiasing Machine Unlearning with Counterfactual Examples
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.260665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb7b5f0-a0bf-42f8-8a2d-a208ba668ad6 · outbound
This paper cites Fairness and Robustness in Machine Unlearning.
Soft Weighted Machine Unlearning Fairness and Robustness in Machine Unlearning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:30:25.942660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56089120-e4ef-4c38-9a1d-8f95a1d02aa1 · outbound
This paper cites Toward robust unlearning for LLMs.
Soft Weighted Machine Unlearning Toward robust unlearning for LLMs
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:28.732782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6abdbd9-f1d2-4897-81f0-fe8ca9920891 · outbound
This paper cites Robust federated unlearning.
Soft Weighted Machine Unlearning Robust federated unlearning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:28.581036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6437a9f7-3e5c-48b4-8c08-0db6068b94f4 · outbound
This paper cites Robust federated unlearning.
Soft Weighted Machine Unlearning Robust federated unlearning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:28.381700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7371b449-01ee-4402-b440-b76533e435ea · outbound
This paper cites Mitigating Social Biases in Language Models through Unlearning.
Soft Weighted Machine Unlearning Mitigating Social Biases in Language Models through Unlearning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.305183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70170214-3431-4eb1-84ef-b158313b15fe · outbound
This paper cites AUTE: peer-alignment and self-unlearning boost adversarial robustness for training ensemble models.
Soft Weighted Machine Unlearning AUTE: peer-alignment and self-unlearning boost adversarial robustness for training ensemble models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:28.147496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2c5dd91-7c26-4c23-8297-6ba15a56bedf · outbound
This paper cites 50 years of test (un)fairness: Lessons for machine learning.
Soft Weighted Machine Unlearning 50 years of test (un)fairness: Lessons for machine learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.946367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b1a2751e-ee6a-41c6-a9d2-6416ac660c6e · outbound
This paper cites Fairness in machine learning: A survey.ACM Comput.
Soft Weighted Machine Unlearning Fairness in machine learning: A survey.ACM Comput
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.705943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1be956bf-2bf3-41b3-b410-f039c5e14864 · outbound
This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.Big Data, 5(2):153–163, 2017.
Soft Weighted Machine Unlearning Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.Big Data, 5(2):153–163, 2017
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.583738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53b39218-1676-4d8a-b5f6-f2695773ef43 · outbound
This paper cites Algorithmic fairness.
Soft Weighted Machine Unlearning Algorithmic fairness
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.393181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d20682ca-77e4-41ed-812a-c5b14dd624ca · outbound
This paper cites Equality of opportunity in supervised learning.
Soft Weighted Machine Unlearning Equality of opportunity in supervised learning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.261229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5d967a3-d12f-4c90-926b-667dabe94a19 · outbound
This paper cites what data benefits my classifier?.
Soft Weighted Machine Unlearning what data benefits my classifier?
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:27.112878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7016a6d-ea2d-4fe5-bb54-44e66c646ed1 · outbound
This paper cites Robust physical-world attacks on deep learning visual classification.
Soft Weighted Machine Unlearning Robust physical-world attacks on deep learning visual classification
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.994074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b5efb8e-9d9f-4413-af3b-f9393557e51d · outbound
This paper cites It is all about data: A survey on the effects of data on adversarial robustness.ACM Comput.
Soft Weighted Machine Unlearning It is all about data: A survey on the effects of data on adversarial robustness.ACM Comput
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.862684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af009cdb-7da9-487c-b7db-ec8a6a7cd4c3 · outbound
This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.
Soft Weighted Machine Unlearning Goodfellow, Jonathon Shlens, and Christian Szegedy
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.748837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba84dbeb-a4e1-452d-bb33-533f01732fc1 · outbound
This paper cites Towards deep learning models resistant to adversarial attacks.
Soft Weighted Machine Unlearning Towards deep learning models resistant to adversarial attacks
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.670123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9793efc9-e9a4-4e85-b7cf-24a5f1b48b8c · outbound
This paper cites Hannun, and Laurens van der Maaten.
Soft Weighted Machine Unlearning Hannun, and Laurens van der Maaten
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.633859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 445ac609-6766-4e70-b246-447c9a87e155 · outbound
This paper cites Towards certified unlearning for deep neural networks.
Soft Weighted Machine Unlearning Towards certified unlearning for deep neural networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.610331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 499379bd-dde6-45bb-b383-5bfa7c3fab8a · outbound
This paper cites Hessian-Free Online Certified Unlearning.
Soft Weighted Machine Unlearning Hessian-Free Online Certified Unlearning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.438098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b8daa86-f0f9-4b87-aef6-29c16ad7d7d1 · outbound
This paper cites Gurobi Optimizer Reference Manual, 2024.
Soft Weighted Machine Unlearning Gurobi Optimizer Reference Manual, 2024
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.585688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1911cf07-09f3-4e56-bba6-6bb937d1be85 · outbound
This paper cites Knowledge unlearning for mitigating privacy risks in language models.
Soft Weighted Machine Unlearning Knowledge unlearning for mitigating privacy risks in language models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.559606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a02f7ae3-fd98-42d0-9a2d-e4db4ee99513 · outbound
This paper cites Large Language Model Unlearning.
Soft Weighted Machine Unlearning Large Language Model Unlearning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.470835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96898ebc-bde5-4a9a-95a7-103e2aaf5c8e · outbound
This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.
Soft Weighted Machine Unlearning Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.478138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6eaa1c1-ff2c-4be3-a72c-bb572be8c9c0 · outbound
This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.
Soft Weighted Machine Unlearning Eternal sunshine of the spotless net: Selective forgetting in deep networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.537465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0566eab4-bca5-43e8-9859-afb4e2db4531 · outbound
This paper cites A data-driven approach to predict the success of bank telemarketing.Decis.
Soft Weighted Machine Unlearning A data-driven approach to predict the success of bank telemarketing.Decis
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.515056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8fa7d60f-95e6-496e-8ef3-e4b6fe79a839 · outbound
This paper cites Deep learning face attributes in the wild.
Soft Weighted Machine Unlearning Deep learning face attributes in the wild
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.482978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bf1ef5cc-1e4b-4f31-9a9c-1d8ff657a24b · outbound
This paper cites Machine Learning Suites for Online Toxicity Detection.
Soft Weighted Machine Unlearning Machine Learning Suites for Online Toxicity Detection
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:30:25.764010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee29b3eb-7a5f-4e12-8357-574958d81039 · outbound
This paper cites Learning multiple layers of features from tiny images.(2009), 2009.
Soft Weighted Machine Unlearning Learning multiple layers of features from tiny images.(2009), 2009
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.458695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 298f3af4-4bbd-471a-bf90-6ecce7fcabe7 · outbound
This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.
Soft Weighted Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:25.553798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a0d4d4-6bbb-4737-998d-0d80d1df21c3 · outbound
This paper cites Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations.
Soft Weighted Machine Unlearning Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.422285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ee300ae-86b5-43d1-be12-1b9b4793eed1 · outbound
This paper cites Chundawat, Ayush K.
Soft Weighted Machine Unlearning Chundawat, Ayush K
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.398337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3990a1bd-1537-4156-a732-7f54593ffa0d · outbound
This paper cites Deep residual learning for image recognition.
Soft Weighted Machine Unlearning Deep residual learning for image recognition
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.373779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7016279e-c923-4276-99f7-2f88db0015a5 · outbound
This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.
Soft Weighted Machine Unlearning What neural networks memorize and why: Discovering the long tail via influence estimation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.349699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 76275960-c8e5-4e25-be0f-5db965999c4b · outbound
This paper cites SOUL: unlocking the power of second-order optimization for LLM unlearning.
Soft Weighted Machine Unlearning SOUL: unlocking the power of second-order optimization for LLM unlearning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.325970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bebf44eb-9d5c-41cf-a09f-b65d60decd0c · outbound
This paper cites Correcting large language model behavior via influence function, 2024.
Soft Weighted Machine Unlearning Correcting large language model behavior via influence function, 2024
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.302555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81f91ea7-7bd6-4ea2-8bd7-72c0ae21715e · outbound
This paper cites The proof and measurement of association between two things.
Soft Weighted Machine Unlearning The proof and measurement of association between two things
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.276432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97d37171-910e-4c13-9c65-b75d250a9801 · outbound
This paper cites Correlation and causation.Journal of agricultural research, 20(7):557–585,.
Soft Weighted Machine Unlearning Correlation and causation.Journal of agricultural research, 20(7):557–585,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.243700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 58e302ac-8ef8-492f-94c3-a7a0b2f3a18a · outbound
This paper cites 15 A.2 Analytical Solution of Problem 6.
Soft Weighted Machine Unlearning 15 A.2 Analytical Solution of Problem 6
Reference 1921
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:30:26.214379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.