Paper Citation Record · LEDGER

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2605.15138.

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

pith.paper-citation-record.v1
2605.15138 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:01:46.085848Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy23
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25e4910c-027d-4845-a669-eb4804c77a17 · outbound

This paper cites an unresolved cited work.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-07T18:14:04.357342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07db5290-10bd-4ed0-8cc1-062fa9b4a461 · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Knowledge unlearning for mitigating privacy risks in language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.336065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06a025c6-9c7e-4b53-86aa-7c77d9e340a9 · outbound

This paper cites Catastrophic failure of LLM unlearning via quantization.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Catastrophic failure of LLM unlearning via quantization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.339955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24760799-033c-4546-bcca-022a82569a25 · outbound

This paper cites Locating and editing factual associations in GPT.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Locating and editing factual associations in GPT

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.332228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f8ddb72-aaaa-433f-9f2d-eaecaaff9760 · outbound

This paper cites Toy models of superposition, 2022.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Toy models of superposition, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.330374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 517765be-8ac8-4301-b947-02b0d6d9a504 · outbound

This paper cites Attribution patching outperforms automated circuit discovery.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Attribution patching outperforms automated circuit discovery

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.334158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2a42af2-2933-4a66-ae68-fec9bcbcb0df · outbound

This paper cites Have faith in faithfulness: Going beyond circuit overlap when finding model mechanisms.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Have faith in faithfulness: Going beyond circuit overlap when finding model mechanisms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.338203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87f054a2-b0f0-4236-a4b5-093edbce0199 · outbound

This paper cites Negative preference optimization: From catastrophic collapse to effective unlearning.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Negative preference optimization: From catastrophic collapse to effective unlearning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.325153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a635c8e-6dde-4064-8aad-b91c0f96d3e6 · outbound

This paper cites Simplicity prevails: Rethinking negative preference optimization for LLM unlearning.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Simplicity prevails: Rethinking negative preference optimization for LLM unlearning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.326942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e0bcf72-e53a-46bd-98d7-506d60a10fb5 · outbound

This paper cites Unified gradient-based machine unlearning with remain geometry enhancement.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Unified gradient-based machine unlearning with remain geometry enhancement

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.323355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7de92769-665e-4751-95a3-3afc8d9f7bb7 · outbound

This paper cites Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, and Nicholas D.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, and Nicholas D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.328700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a2cb6df-6357-41e4-9843-e0293c82132b · outbound

This paper cites Continual learning and private unlearning.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Continual learning and private unlearning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.351861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b5b1ac7-7ede-4bf1-9819-f99d5025fed4 · outbound

This paper cites Manning, and Chelsea Finn.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Manning, and Chelsea Finn

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.319062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1ade688-4370-4975-9eb9-3bf6572fa1dd · outbound

This paper cites TOFU: A task of fictitious unlearning for LLMs.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution TOFU: A task of fictitious unlearning for LLMs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.317323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73163884-7c13-4473-88b7-f791624b0d2b · outbound

This paper cites Smith, and Chiyuan Zhang.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Smith, and Chiyuan Zhang

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.312275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4cf70fc-9172-433f-adaf-10db1bf256c3 · outbound

This paper cites Mass-editing memory in a transformer.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Mass-editing memory in a transformer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.310368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 531cf99b-422f-489f-970b-958087864a97 · outbound

This paper cites $C$-$\Delta\Theta$: Circuit-Restricted Weight Arithmetic for Selective Refusal.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution $C$-$\Delta\Theta$: Circuit-Restricted Weight Arithmetic for Selective Refusal

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:20:28.526184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89b2604a-2a8a-42db-9f93-6b54a2d8475d · outbound

This paper cites Does localization inform unlearning? a rigorous examination of local parameter attribution for knowledge unlearning in language models.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Does localization inform unlearning? a rigorous examination of local parameter attribution for knowledge unlearning in language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.314496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3d8e179-6f1b-4226-b4fd-13d5ebe6959b · outbound

This paper cites Mechanistic unlearning: robust knowledge unlearning and editing via mechanistic localization.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Mechanistic unlearning: robust knowledge unlearning and editing via mechanistic localization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.321390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e97b35e0-3bc1-4f6f-9c47-232dbc76500f · outbound

This paper cites Qlora: efficient finetuning of quantized llms.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Qlora: efficient finetuning of quantized llms

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.353807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79f5fa91-fee9-4d66-a12e-a5e2677750b4 · outbound

This paper cites Horn and Charles R.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Horn and Charles R

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.355580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55328ebc-76f3-4f31-a350-9b5598e6695d · outbound

This paper cites Unlearning isn’t deletion: Investigating reversibility of machine unlearning in LLMs, 2026.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Unlearning isn’t deletion: Investigating reversibility of machine unlearning in LLMs, 2026

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.343646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c666099-2e06-4477-95ee-5d56e8e78419 · outbound

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Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-07T18:14:04.345641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 942522fa-aa07-41a2-952c-3f9c35bbeeff · outbound

This paper cites New insights and perspectives on the natural gradient method.J.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution New insights and perspectives on the natural gradient method.J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.347863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 185049f4-5dc9-4bed-8022-f7a462cb1027 · outbound

This paper cites Curran Associates Inc., Red Hook, NY , USA, 2019.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Curran Associates Inc., Red Hook, NY , USA, 2019

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.349943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b79737e-bee7-4596-a084-c843725f2adc · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution Transformer feed-forward layers are key-value memories

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:14:04.341767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0346082f-27a9-41a1-8c99-989c161f284d · outbound

This paper cites circuit dismantled.

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution circuit dismantled

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.050247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.