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Paper Citation Record · LEDGER

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking

As of 6 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2601.06163.

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

pith.paper-citation-record.v1
2601.06163 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T17:12:33.892879Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T18:44:05.775332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:06:22.155837Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact12
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c83330ec-fd4c-41cc-abfc-1c7a365d5ec9 · outbound

This paper cites The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T17:14:16.690042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:93cc3a3ebc8d86ecc19ee263d8d9f8aeb1a3b34a171b9b62b4e4078066f2590c

Observation 4ac76fa0-4f32-4736-84ee-583ef7ee59e7 · outbound

This paper cites ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.677949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:c5cd24692681f9d0612c7707fff03fecfd98a82eb769084ce1624e8b17a43a21

Observation 29b22c21-ba89-40b4-9f36-0c064881c61c · outbound

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

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:14:16.673686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:6897f155c830f74bf7a1f8c4362d28c7d8f45ea12f847aab5453f61348446153

Observation db1a8a41-70da-4d1c-8f7a-a533573eb3dc · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Certified Data Removal from Machine Learning Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.702622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:413012e83d2af096f3738fcc8cbfd42f7be56ba00926a965e15514bab4c061ea

Observation 8913fa82-2f3e-4ea2-97d5-889c2fc8a508 · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.685934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:dd89c5e82195db435051f2fc758d1844f5bd904cf022ea92b201e68d9c7e8e7a

Observation bc07d706-fe28-4839-ab5a-e1e54cb11d13 · outbound

This paper cites Diffusion Models for Medical Image Analysis: A Comprehensive Survey.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Diffusion Models for Medical Image Analysis: A Comprehensive Survey

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.697205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:60497d82e3a73ebe7764cd0e0289fe7d66ceb797e76e6d4c83f99c9cead7ec3a

Observation 336506d2-abe3-488a-8c09-c363b887733d · outbound

This paper cites Microsoft coco: Common objects in context.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Microsoft coco: Common objects in context

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:14:17.151842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:f9dd3778f737afda77b4c790e7c081b0d6244a15a74f8224996b23668665d6c2

Observation 45185acf-4bc2-46b0-b444-ab6d67143f74 · outbound

This paper cites Machine Unlearning in Generative AI: A Survey.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Machine Unlearning in Generative AI: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.694879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:22fc1c18c0a419fbdb2538af4420cd1ac42827305adba7cfbd895064f2502d6d

Observation 70174774-8e29-47d1-9887-ad777a88be1d · outbound

This paper cites Bridge the gaps between machine unlearning and ai regulation.arXiv preprint arXiv:2502.12430.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Bridge the gaps between machine unlearning and ai regulation.arXiv preprint arXiv:2502.12430

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.709994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:0466e544dac80c822637fd2a4f2e4edc01cc872f6745715c56d4084cca2be99a

Observation d0262184-fde4-478a-a7ca-69d87b64ceb7 · outbound

This paper cites A Survey of Machine Unlearning.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking A Survey of Machine Unlearning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.709173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:7b7bfda4325b21d012d202f8632e7fc898e6284cf1915906864212647f3230ab

Observation 4d615986-2854-4d62-b6ad-5486f092231f · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:14:16.693356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:f9c1a310453caa04481f86818a4c421f21c59cdeb27f4ee297081d86f481f4c3

Observation 1f546aae-fae2-4a78-9472-192c8c4126a9 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:14:16.700998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:cf4ac5f8a6c40118c17930508154807ae0c01a335ae94bb7a091e17ef17855ba

Observation b48d8643-bf9a-47a9-bff3-b42a11d385ad · outbound

This paper cites Ethical and social risks of harm from Language Models.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Ethical and social risks of harm from Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:14:16.676746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:cb69ebceee346d762dbe3b6709bee0bc4ea3e2dc93e34fb79878feccec61229a

Observation 9cb56be0-08bc-4cf7-9eb8-e10734c34c41 · outbound

This paper cites Separable Multi-Concept Erasure from Diffusion Models.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Separable Multi-Concept Erasure from Diffusion Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:14:16.705074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:fb05be3b4a3914aeea18f8a30873834e6e46dd904f91090de6ba4ca5e63c9728

Observation 6250c8a7-a6a4-4dfc-a59f-a5c77419f2a4 · outbound

This paper cites Other choices, such as cross-attention or self-attention projections, either severely damage image fidelity or fail to remove the concepts thoroughly.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Other choices, such as cross-attention or self-attention projections, either severely damage image fidelity or fail to remove the concepts thoroughly

Reference 15

Resolution
malformed identifier
arxiv_id, observed 2026-05-21T17:14:16.706270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:aa3892a9b6d3b1e82a35250305ea2133d83d11675f51aa77d060fcd93ad06913

Observation 4f9e2913-74a5-4417-afd0-4b1e002a63dd · outbound

This paper cites F” denotes female, “M.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking F” denotes female, “M

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-05-21T17:14:17.154390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T17:12:33.892879Z digest=sha256:0c374de06720a2568a088a37bea615835d2d91a726a3e085ce87836328fcb27b

Pith citing papers

Observation 6bdba7a9-7015-40a9-acbd-e3a75bf76e52 · inbound

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning cites this paper.

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:04:20.763847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T18:44:05.775332Z digest=sha256:e43b554ecbec1923922bcee4679487a3187523e27d37814a6f9a855ba3b4d843