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Paper Citation Record · LEDGER

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning

As of 15 August 2026, this Paper Citation Record lists 100 of 186 outbound references and 0 inbound Pith citation observations for arXiv:2608.11408.

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

pith.paper-citation-record.v1
2608.11408 v1

Coverage vector

measured 100 of 186 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:56.923997Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

100 of 186 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6251c228-332c-41e6-8381-c2688ebc817f · outbound

This paper cites Obfuscated Activations Bypass LLM Latent-Space Defenses.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Obfuscated Activations Bypass LLM Latent-Space Defenses

Reference 1

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no resolver link, observed 2026-08-15T14:17:56.513324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.513324Z digest=sha256:4d7302562ed081ad6396fe49bf48843cc8aae11f46178590cb839e23a49327e9

Observation 10d6600f-294f-4ff0-a869-9c01daee8747 · outbound

This paper cites Machine Unlearning.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Machine Unlearning

Reference 3

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no resolver link, observed 2026-08-15T14:17:56.521565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.521565Z digest=sha256:9ef892630f97bb03dd02fe39fab8fb3ea382771b8670135b4f1e89e8094752ef

Observation 198149c3-8aac-4adb-9ded-30adb0005cbd · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-15T14:17:56.529424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.529424Z digest=sha256:ff3d44b447e59e9482c41d8e68fad19114a943437ad24ff416184b28cf019c5e

Observation 2a90c623-ca79-423e-a5c1-333d75658eec · outbound

This paper cites R.; Lin, H.; Belkin, M.; Huerta, R.; and Vuli \'c , I.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning R.; Lin, H.; Belkin, M.; Huerta, R.; and Vuli \'c , I

Reference 7

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no resolver link, observed 2026-08-15T14:17:56.537562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.537562Z digest=sha256:dfa54207582162c56fcf6d74cc1ca153e1bd76c03f6849a81396c0b71d9e2ff1

Observation 851eb504-2ad6-4c9f-a4f1-9ca2c8ff25a0 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-15T14:17:56.541068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.541068Z digest=sha256:dcaaaa71fac8581e8b1cc5b5c0c3665bdf16ff380b6d793ab6158467d13dda28

Observation f6decf4a-897d-4fa2-b47a-fdd0c1fe6791 · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 9

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no resolver link, observed 2026-08-15T14:17:56.544683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.544683Z digest=sha256:825dc6ce2cf57c7c584694fcdf5721a5ef30a0dcbaabf5a447fd0da06b02c550

Observation d53ac09b-883c-43e5-90dd-d13118491d55 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-15T14:17:56.548586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.548586Z digest=sha256:bef9eb4f6178256e046b29415b38157655c9c64bfcce0a883b22f70c3b1bd07b

Observation 7823968f-5c5b-44f1-a63c-f36080ff5f51 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-15T14:17:56.552671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.552671Z digest=sha256:a5da329d8045599184ef9f4bc3c46ad15ef29f4f0c12ae1efd0decf03eab306b

Observation 0649db94-dd78-4819-a0fa-994db3d5b80d · outbound

This paper cites Scaling Laws for Reward Model Overoptimization.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Scaling Laws for Reward Model Overoptimization

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.556592Z digest=sha256:718365f184a9f610f71679405ddd7b6fe158bc3905339040768239e82b8ac637

Observation 9106ebba-3c61-4daf-ba46-54f8bf4e98eb · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Certified Data Removal from Machine Learning Models

Reference 15

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no resolver link, observed 2026-08-15T14:17:56.569818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.569818Z digest=sha256:8181bd1a2262d14b6588f1840ab382f9faaeb6e98d81fb9f6ce8e3a8cfd8e5e7

Observation 9497b32f-2733-4651-97d8-6c3c0d540037 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.581150Z digest=sha256:6aa78376c16344a610f45c5970e074500141a61fc90f6ebeabe71310c1d9503f

Observation 6fdabc5e-f22a-446d-9198-e05dde9a6935 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-15T14:17:56.585257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.585257Z digest=sha256:12f53ddf60d37bbcbaaf76408700e87ba3d6e938d6681721ee2bd84f3c9d1aa5

Observation e6570f81-f76a-4d0b-9b4e-6f6ba9f1b7ef · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-15T14:17:56.588745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.588745Z digest=sha256:8a488fe58a0fa55a7618b3efc691414acb92b12cc7ccf059b9bbc246f658353c

Observation b95f146b-f564-4d06-ad3c-4e1b510a9391 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.592653Z digest=sha256:ddee3a4f7554880d2ba40dff1a3cce4cdb381e1e32366f47afaad80d16051d6b

Observation 23e35e0f-73ef-4075-89d4-9268ae345858 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-15T14:17:56.596467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.596467Z digest=sha256:0142759e207f663f919321b96711eb90e3e4dbd9b91af04cc2c9d919810b3bd1

Observation 02c307f5-ab33-492b-b379-afb8c61e0856 · outbound

This paper cites Y.; Xu, X.; Li, H.; et al.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Y.; Xu, X.; Li, H.; et al

Reference 25

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no resolver link, observed 2026-08-15T14:17:56.608122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.608122Z digest=sha256:8a9040239b26c189b4f23ccd2a52435a4424ab5f544b3cf9bbdeeafb092aa7f3

Observation 12c676ca-101f-4a9a-80ae-62e6aaf37932 · outbound

This paper cites C.; and Kolter, J.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning C.; and Kolter, J

Reference 28

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no resolver link, observed 2026-08-15T14:17:56.619376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.619376Z digest=sha256:386cc5899820000876d7fd2d48e143976252ded8be266ebf3acb524e6d95456e

Observation 97f0b772-007a-471b-acf4-a62a6947745c · outbound

This paper cites A.; and Lobo, E.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning A.; and Lobo, E

Reference 29

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unresolved
no resolver link, observed 2026-08-15T14:17:56.622802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.622802Z digest=sha256:d5fa6910713235be6e8a031cbdcc3312626822a0b62828f243c5dd4c5be399f9

Observation 9bba0bf6-6c7d-47c4-95be-903b295a1e42 · outbound

This paper cites R.; Hase, P.; and Bansal, M.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning R.; Hase, P.; and Bansal, M

Reference 30

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unresolved
no resolver link, observed 2026-08-15T14:17:56.626194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.626194Z digest=sha256:8e2a51cc8215d58c008b6c4b39647a878ebe2f1d36fb1572dda50282c13ed49d

Observation 447369d7-3f81-4334-95d8-962b9e3209e7 · outbound

This paper cites A.; and Zhang, C.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning A.; and Zhang, C

Reference 33

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unresolved
no resolver link, observed 2026-08-15T14:17:56.637755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.637755Z digest=sha256:81fb03866843b1604150a33fdd3be9877776178eab29fd4cfb8c17d315e27726

Observation 6f45c406-fcf6-412b-ae6a-2855806bec15 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-15T14:17:56.645299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.645299Z digest=sha256:46607452e03a0507677fc76d56b640762d7474317578805a3a1e834113f7fc3e

Observation 0178e2ba-94e2-42c0-9553-6b2fd8e46861 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-15T14:17:56.649187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.649187Z digest=sha256:c198cd9b056dc0517adce616d068db4a02549b30dfcfacc89c16a06fe31f9e9d

Observation 623c6f17-60b7-4ced-bcb9-33f261c802ef · outbound

This paper cites Position: LLM Unlearning Benchmarks are Weak Measures of Progress.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Position: LLM Unlearning Benchmarks are Weak Measures of Progress

Reference 37

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unresolved
no resolver link, observed 2026-08-15T14:17:56.653842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.653842Z digest=sha256:e73e9e81eadac71baeea2b0cb8581a37166d6ec6a01a7f9085f17e32394a3f82

Observation 54d3ef1b-6e3d-4c90-b26a-a8a0add3749e · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 38

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unresolved
no resolver link, observed 2026-08-15T14:17:56.657217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.657217Z digest=sha256:530f0158d42d472cbdaee0f2641a8a50ae83418890d0bb1dbaff8d58e3e31e06

Observation 1d7ae226-c66d-495f-90f7-046e4d3f752e · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 40

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unresolved
no resolver link, observed 2026-08-15T14:17:56.665480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.665480Z digest=sha256:35b3a37d11dfb2e1ed829e2f828d7264dc2a45959d005c2d236c6b49f8d72654

Observation 6797fd97-5f6b-46d4-89dc-681f225c4f82 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-15T14:17:56.668664Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.668664Z digest=sha256:67d2c12c370edf25f6bf67559cb5e9247a48bc1dba17643682a807b4c91a5bb6

Observation 7513363c-7569-42c8-91f3-1381de543947 · outbound

This paper cites 2023 , eprint=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2023 , eprint=

Reference 42

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unresolved
no resolver link, observed 2026-08-15T14:17:56.672189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.672189Z digest=sha256:3048c2e99d78cf19179fdc685e3ddc7cd39d33db10eded344c4f784486a48083

Observation 229265b4-1f65-419e-94f1-f495383c594e · outbound

This paper cites 2025 , eprint=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2025 , eprint=

Reference 43

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unresolved
no resolver link, observed 2026-08-15T14:17:56.675746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.675746Z digest=sha256:7c64fb3f15189b4137c78a0170e432653baad3bad7a8cdfe27688098a4b9edd8

Observation 23d67424-d40d-4b37-8af9-b50aa633a8aa · outbound

This paper cites 2022 , eprint=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2022 , eprint=

Reference 44

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unresolved
no resolver link, observed 2026-08-15T14:17:56.679497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.679497Z digest=sha256:9fb08ed4e8db1d74107e5a6310a9a31db87422d8f98034805bb33e6aa843c7a3

Observation 581e8091-d254-4840-ac21-cb7b7631f482 · outbound

This paper cites 2025 , eprint=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2025 , eprint=

Reference 45

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unresolved
no resolver link, observed 2026-08-15T14:17:56.683554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.683554Z digest=sha256:b1bc17b7f516c997f753e6651e63aec1adb09845a975eb7520c8ba4b8b038322

Observation f029cdb8-0925-49f3-ae66-b3dfcfc3f41c · outbound

This paper cites 2020 , eprint=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2020 , eprint=

Reference 46

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unresolved
no resolver link, observed 2026-08-15T14:17:56.687602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.687602Z digest=sha256:3c6dd8e41a5688e77f1448ee94e9e49c1a8febca8df4975ca81765034b9b0404

Observation a9140f27-d827-4506-aeac-c47990af650f · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Discovering Latent Knowledge in Language Models Without Supervision

Reference 47

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unresolved
no resolver link, observed 2026-08-15T14:17:56.691100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.691100Z digest=sha256:c120b8a61954c05eeee370a576acd1f0cb2ea64785f4f9a27301b3e954ead232

Observation 7506e8f2-8f6d-45be-97aa-390d9e7f54e7 · outbound

This paper cites Towards eliciting latent knowledge from LLMs with mechanistic interpretability.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Towards eliciting latent knowledge from LLMs with mechanistic interpretability

Reference 48

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unresolved
no resolver link, observed 2026-08-15T14:17:56.694937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.694937Z digest=sha256:31b9562ba867c3ac4f43e61d58e05928427bd748141016d01fec8831a834a9ac

Observation 081bcbdc-d45e-45af-96a2-8375686fc153 · outbound

This paper cites UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Reference 49

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no resolver link, observed 2026-08-15T14:17:56.698317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.698317Z digest=sha256:85ed8cd0d2089b77df40dacff1efcada396f813f4138d04cf9dd37dcc348b8eb

Observation 6bde5c67-7bfa-4729-ba50-83cc7ac8316d · outbound

This paper cites Extracting Unlearned Information from LLMs with Activation Steering.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Extracting Unlearned Information from LLMs with Activation Steering

Reference 50

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unresolved
no resolver link, observed 2026-08-15T14:17:56.702047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.702047Z digest=sha256:01a1f534fc8974b2b88e9ddff40568f0c4708a8b35ed3f1f552f7a106327487b

Observation f97be2c9-4ade-4746-95c2-fac7b8b37c95 · outbound

This paper cites Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 51

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unresolved
no resolver link, observed 2026-08-15T14:17:56.705415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.705415Z digest=sha256:8f5fc796903189329d3808d58f0bca2bccf6ad721b59d331f977eb29ba3cbb96

Observation b2d2081c-c6e3-4530-9166-aabd8fb9722b · outbound

This paper cites Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 52

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verified exact
doi, observed 2026-08-15T14:17:57.237297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:17:56.710024Z digest=sha256:dfa1462356775720026539d48c867da2149b5021ded7620f92d45b5dccc10879

Observation ce2040dd-5be7-4e6e-917b-3f61e2cd8446 · outbound

This paper cites Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs

Reference 53

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metadata mismatch
local_arxiv, observed 2026-08-15T14:17:57.755736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:17:56.714279Z digest=sha256:14b78da28a6a4b5b584b96d775a1ae0c7290ab4f5425b612cfc4546dfb2b7e5f

Observation 5a4827f2-9ead-4604-81fb-96e7fcc6ffdd · outbound

This paper cites The Cylindrical Representation Hypothesis for Language Model Steering.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning The Cylindrical Representation Hypothesis for Language Model Steering

Reference 54

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unresolved
no resolver link, observed 2026-08-15T14:17:56.717882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.717882Z digest=sha256:0233291453eae3e6070c72a99a3feecfe7edb7a2b2abce0d6014e9d87c485cc3

Observation adba1a94-ee44-4a66-ad70-aade44d0776a · outbound

This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 55

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no resolver link, observed 2026-08-15T14:17:56.721516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.721516Z digest=sha256:6eee49e6fe179d912783048f685e115f947ce7dba960b0848a17c0718122a755

Observation 5fc1b3cb-acd5-46a7-a9d6-8b3958269a6f · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 56

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no resolver link, observed 2026-08-15T14:17:56.725308Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.725308Z digest=sha256:ebf12537e660739fdf7ddda6e35bb22d3854be77f086036f6415aaffa0eaf96e

Observation 7fd00c77-1811-4827-958a-6c218294a8f9 · outbound

This paper cites an unresolved cited work.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-15T14:17:56.729348Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.729348Z digest=sha256:ac33534bddf691a6c8deda4bafc02469634f158169d2d895753b256d838e3152

Observation 2ed656b7-69e4-4041-af35-26e768d3ee0f · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 58

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no resolver link, observed 2026-08-15T14:17:56.734470Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.734470Z digest=sha256:96095908cb305a307e502b4977799261559c57406ccf9e1a34684c9a4a19b275

Observation 110de8dd-9542-4872-872e-bccdfe775a99 · outbound

This paper cites International Conference on Learning Representations , volume=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning International Conference on Learning Representations , volume=

Reference 59

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no resolver link, observed 2026-08-15T14:17:56.738614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.738614Z digest=sha256:724255e11bda67f3a896a658c51491dc1a6c331036e7c206b2e72386d21e7eb8

Observation 26604037-745a-4ac0-8baa-ad40f1f44e2f · outbound

This paper cites Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Reference 60

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no resolver link, observed 2026-08-15T14:17:56.742515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.742515Z digest=sha256:6bb63f2001e47b4915a11502a86aef9e02b8e41480fa8d73da7db614c9c5be6f

Observation 06a87568-7f5d-46e0-9c28-2cfd7671b322 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 61

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no resolver link, observed 2026-08-15T14:17:56.745674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.745674Z digest=sha256:6322c4f912c6e67e943b04470009581abeb0dc93caaf6ff6a3a39a5e78274460

Observation 9aa9c708-d952-459d-a556-9f659ae412c8 · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 62

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no resolver link, observed 2026-08-15T14:17:56.749285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.749285Z digest=sha256:d59b33ec4503bae8e44e4ef1381d3251a74a3aff2ee1a499fb0099752d227c40

Observation 94b9bed4-c524-4f60-9617-83b0f6371348 · outbound

This paper cites , author=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning , author=

Reference 63

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no resolver link, observed 2026-08-15T14:17:56.752533Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.752533Z digest=sha256:d7ef240148e2df477c8fb649cf69c66ef70119bf2fd111ca2557ec60a0b87684

Observation 6eae1453-3260-400f-9435-a56eda942254 · outbound

This paper cites ICML 2024 Workshop on Foundation Models in the Wild , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML 2024 Workshop on Foundation Models in the Wild , year=

Reference 64

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no resolver link, observed 2026-08-15T14:17:56.755636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.755636Z digest=sha256:353f50198d65c8bad843bbe7d32831055190addca166745dc461bb3a21eb179d

Observation 1066d879-296c-485a-9662-18f616448947 · outbound

This paper cites Do Unlearning Methods Remove Information from Language Model Weights?.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Do Unlearning Methods Remove Information from Language Model Weights?

Reference 65

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no resolver link, observed 2026-08-15T14:17:56.759517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.759517Z digest=sha256:9a0ea29ceaa6ee6d9f74fdca24b27dded2d904dde00a42af391505216a12f4f4

Observation 7be61782-a157-434c-8bbb-0f32250a2fde · outbound

This paper cites An Adversarial Perspective on Machine Unlearning for AI Safety.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning An Adversarial Perspective on Machine Unlearning for AI Safety

Reference 66

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no resolver link, observed 2026-08-15T14:17:56.763370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.763370Z digest=sha256:1999877ee2744c602910959fdaaa8ba98b26d786df68898e2eaa09246a14f9c4

Observation 0d740c22-53fe-44f8-91b9-beae41250d7d · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 67

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no resolver link, observed 2026-08-15T14:17:56.766635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.766635Z digest=sha256:cddfadb6f49eeb6617569ab3b19c2956c0af9694e469847cea2e335979052f75

Observation d0c1a3b9-8a3f-4b08-9244-6711bc0ecd4b · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 68

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no resolver link, observed 2026-08-15T14:17:56.769835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.769835Z digest=sha256:e0856b23382a8fb925c8fafbd79278b03d83d0e25f411ed4deaf8b88ae8ec0ed

Observation c9fadbb1-1212-421b-bd47-e9eab576de00 · outbound

This paper cites Measuring the Depth of LLM Unlearning via Activation Patching.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Measuring the Depth of LLM Unlearning via Activation Patching

Reference 69

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metadata mismatch
local_arxiv, observed 2026-08-15T14:17:57.696669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:17:56.773852Z digest=sha256:32c2bc7a826a41f08e45c3019aae49a8cf6e1669d0c05d730b9929dfdf6fd1be

Observation 28ae84ee-1e88-4d16-90ba-ec55364dff22 · outbound

This paper cites Verbalizable Representations Form a Global Workspace in Language Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Verbalizable Representations Form a Global Workspace in Language Models

Reference 70

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no resolver link, observed 2026-08-15T14:17:56.777542Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.777542Z digest=sha256:d00a55e041b276172da97ad7b368cea04cebf47d8e37b3fb964f9b9b3fb63ae9

Observation a6f382f1-a99b-4fd6-bdac-e66269994ac2 · outbound

This paper cites International Conference on Learning Representations , volume=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning International Conference on Learning Representations , volume=

Reference 71

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no resolver link, observed 2026-08-15T14:17:56.780622Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.780622Z digest=sha256:0c337ee4d3f9b956134b0e66bf4f53d949a517db732230cc3b6518681d882fa7

Observation 932793e3-8d18-4f32-ab4a-23e6db0c88c9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 72

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no resolver link, observed 2026-08-15T14:17:56.784015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.784015Z digest=sha256:4998f438fbfa2b1eae24b02a81429e607b3ac9ed43ea02b95592e84d07c04e55

Observation 9e9dda06-b726-4c9e-bd0f-0f393de74bf9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 73

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no resolver link, observed 2026-08-15T14:17:56.787365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.787365Z digest=sha256:59510917508b85a4597a52c9c2761c60de13ba26b702c1249973ad36008afa0d

Observation be72ce9f-3b30-4c50-b199-6a6ef01ee8c7 · outbound

This paper cites Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning

Reference 74

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metadata mismatch
local_arxiv, observed 2026-08-15T14:17:57.617226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:17:56.790856Z digest=sha256:2c7ba06d42c6f351db11b94d82090542d258b5c7884d766fd38becb9d4d74948

Observation 58a6f945-2f34-4cc7-9532-a7f57d9980ed · outbound

This paper cites GPT-4 Technical Report.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning GPT-4 Technical Report

Reference 75

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no resolver link, observed 2026-08-15T14:17:56.793715Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.793715Z digest=sha256:a8128dba16532faadf8c4c49fb0842a8595ef2c52493c66db62759838e3e04a5

Observation cadafe9b-2cbe-4c0f-8a76-8878856dd023 · outbound

This paper cites DeepSeek-V3 Technical Report.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning DeepSeek-V3 Technical Report

Reference 76

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no resolver link, observed 2026-08-15T14:17:56.797095Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.797095Z digest=sha256:c9053751b259ac56106db9c56b5bc2a9f0741f8b7ce288e6c7a56ff8984d7d36

Observation b3be793c-d5e1-4de5-9a5f-a06fd9a1bce0 · outbound

This paper cites Arxiv Preprint , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Arxiv Preprint , year=

Reference 77

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no resolver link, observed 2026-08-15T14:17:56.800693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.800693Z digest=sha256:acdaf046d511f8cdedd464f2bad83dca992631cb4ac396730dc2ee2e49885b14

Observation cbfecc8a-cc30-4439-908e-0580ddb8752d · outbound

This paper cites International Conference on Learning Representations , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning International Conference on Learning Representations , year=

Reference 78

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no resolver link, observed 2026-08-15T14:17:56.803776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.803776Z digest=sha256:8964ee7cf76795db56d40965c29c416ac41ce742c39ed474618c17d47a431e16

Observation 545e59e1-b31e-4ec0-8001-0aaf901f3371 · outbound

This paper cites ICML , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML , year=

Reference 79

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no resolver link, observed 2026-08-15T14:17:56.807032Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.807032Z digest=sha256:1db45eb422f1e826748d62f924c96538b1b33ca7764f7e9e5c27f517c4c4f07a

Observation 57300eb0-0d11-47ed-b0b3-ad67c9f148be · outbound

This paper cites Nature Machine Intelligence , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Nature Machine Intelligence , year=

Reference 80

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no resolver link, observed 2026-08-15T14:17:56.810103Z

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source=arxiv_source observed=2026-08-15T14:17:56.810103Z digest=sha256:bb23053e672d97b509824ac675a08a6927db7f86ca965931204514b1814ee01a

Observation cbc69772-0183-4d5e-ad12-c490580c076a · outbound

This paper cites Proceedings of the ACM collective intelligence conference , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Proceedings of the ACM collective intelligence conference , year=

Reference 81

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no resolver link, observed 2026-08-15T14:17:56.813295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.813295Z digest=sha256:46b012125cb8dd17e4a00933baa8dd8e02b9868459021426ad29b225ba4d0f2b

Observation 336fff03-505c-4afb-abeb-a782017ce7f7 · outbound

This paper cites EMNLP , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning EMNLP , year=

Reference 82

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no resolver link, observed 2026-08-15T14:17:56.816443Z

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source=arxiv_source observed=2026-08-15T14:17:56.816443Z digest=sha256:0643a54c0e3bdb358b0c023369771ef608c5ffc23a5b311741ada21a4a1751b6

Observation c4c713ad-d536-47b5-8e5f-a30fa2fbb2a0 · outbound

This paper cites Public Choice , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Public Choice , year=

Reference 83

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no resolver link, observed 2026-08-15T14:17:56.820003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.820003Z digest=sha256:f68f57330e258b7806bdf480d8ad7044a026887713b7389c89b065de1c314644

Observation 0bf11d14-9aa7-426f-bb60-dddc2c2c5d10 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Scalable Extraction of Training Data from (Production) Language Models

Reference 84

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no resolver link, observed 2026-08-15T14:17:56.823825Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.823825Z digest=sha256:a10a017494c36afd566b2ea39809d037448a0b9ca0cfd9131990467f72894f8c

Observation fc5ad66f-c6e6-4549-ad75-b5088b2b38f2 · outbound

This paper cites ICML , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML , year=

Reference 85

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no resolver link, observed 2026-08-15T14:17:56.827483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.827483Z digest=sha256:89d9aa7cafedc91bb77cf66f38d656680ee27e294078e4a6edba62dd74e633e7

Observation bbe10676-54c4-4879-8386-498dc0d34824 · outbound

This paper cites ICML , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML , year=

Reference 86

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no resolver link, observed 2026-08-15T14:17:56.830692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.830692Z digest=sha256:3cb76bc4cb6a04b5dd3f298917dc61f83a557ac5043dec9a06501491a9b4f940

Observation f9070d72-3eaa-40f1-bedb-5fe4ced7baae · outbound

This paper cites CoLM , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning CoLM , year=

Reference 87

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no resolver link, observed 2026-08-15T14:17:56.833816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.833816Z digest=sha256:efd5d3802782fdc2856f0db35b3ac38ec1814c06794dc3fd1803e572ec01cc7b

Observation c364985b-987e-4809-8507-ede60f239d4e · outbound

This paper cites CoLM , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning CoLM , year=

Reference 88

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no resolver link, observed 2026-08-15T14:17:56.836954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.836954Z digest=sha256:c3187a446148f6ef677949ba08edb0e739d5486149fdb60e57b76b6635c1cf7c

Observation 53d45481-ef5c-462a-b4ef-f6fc93639fdd · outbound

This paper cites ACL , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ACL , year=

Reference 89

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no resolver link, observed 2026-08-15T14:17:56.840147Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.840147Z digest=sha256:d5ff904f6d35e7b85c8115358e2ecdaae123a88a7563a7c80d4a40995faaf9c2

Observation 0672abb5-8069-42da-ac4f-c195a52b0189 · outbound

This paper cites ICLR , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICLR , year=

Reference 90

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no resolver link, observed 2026-08-15T14:17:56.843315Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:17:56.843315Z digest=sha256:ff9f907eeae26e555dea6e0028daa9dbf4f110d9efafbe32fac98945dddd7843

Observation 340edb65-1874-4d83-a1cf-75bc87f6ce13 · outbound

This paper cites ICML , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML , year=

Reference 91

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no resolver link, observed 2026-08-15T14:17:56.846551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.846551Z digest=sha256:0a72a1d71147932b2d22791f1fc3791591abf0ff3b890038ae9c38b691b69878

Observation 99143c01-20a2-46fe-8c3b-4567be2781b7 · outbound

This paper cites NeurIPS , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning NeurIPS , year=

Reference 92

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no resolver link, observed 2026-08-15T14:17:56.849685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.849685Z digest=sha256:ad6349931c8f0b7d6b1c752219ea212be4c873ebd0ef2b15d23b3e5b6ccd3b58

Observation a6a10261-22bb-4f42-b869-07455cce95d3 · outbound

This paper cites Not All Data Are Unlearned Equally.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Not All Data Are Unlearned Equally

Reference 93

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no resolver link, observed 2026-08-15T14:17:56.852922Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.852922Z digest=sha256:7f638385087941bb190cba03d70fbca6aad46d93c6c9e06e63e7873830fd1d61

Observation c697810c-4bfe-4787-9866-04f4ece5f62f · outbound

This paper cites ICLR , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICLR , year=

Reference 94

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source=arxiv_source observed=2026-08-15T14:17:56.856903Z digest=sha256:4dc8d8342b5a589126c46d812efc6eecd42d0a75888f7bf83839ba6e78b4b581

Observation d4c0e5e9-e3d6-4ca7-8c9e-e6d44fa5954a · outbound

This paper cites arXiv preprint arXiv:2509.24675 , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning arXiv preprint arXiv:2509.24675 , year=

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.860075Z digest=sha256:d465f509739b4efa3a19b5f5a72137104a8726071ecf5119f67e54f9a2d3526f

Observation 7088739d-92ca-4591-a2c0-c7f61b54d360 · outbound

This paper cites ICLR , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICLR , year=

Reference 96

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source=arxiv_source observed=2026-08-15T14:17:56.863259Z digest=sha256:bb3e6d9557cf679551d54dd261d7a383ff21ec539ee9ddd12aab9e4de83fd834

Observation 01777e5f-577d-4c14-b8e7-1341d373c9ce · outbound

This paper cites Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding

Reference 97

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source=arxiv_source observed=2026-08-15T14:17:56.866341Z digest=sha256:352d371b93d8cf5dcb1b5a1f0aa8de31055bc6dd641b52cbbc20d32bec792f49

Observation 9f0874fd-2c72-4e06-85e5-7193831fe737 · outbound

This paper cites EMNLP , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning EMNLP , year=

Reference 98

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source=arxiv_source observed=2026-08-15T14:17:56.869712Z digest=sha256:bcb0e4695e5ff722f0eb1fb9f3fa2192eae3bf5374e3fe3e5e34a2682a303e5b

Observation f304f959-b224-4616-90f3-6aafd26a5485 · outbound

This paper cites S&P , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning S&P , year=

Reference 99

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source=arxiv_source observed=2026-08-15T14:17:56.872709Z digest=sha256:3414cc0be35e1ed94fdb6e8e3d8f42cfaec74cf8ba70dbe5d75e336dde74a5b6

Observation bcd5f507-bf8f-41a4-af97-f1ff0c882781 · outbound

This paper cites 2025 , howpublished =.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning 2025 , howpublished =

Reference 100

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source=arxiv_source observed=2026-08-15T14:17:56.875895Z digest=sha256:0b8713ff366fbd7ca930cbb6e0c28a0d5aba890a61ed9f5de0512da7e5a5f7a7

Observation 7840b5ca-b110-45d3-9e6a-10d34f960be9 · outbound

This paper cites do anything now.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning do anything now

Reference 101

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source=arxiv_source observed=2026-08-15T14:17:56.879057Z digest=sha256:43a94a78bfe5f3e4bc526c4f7d41eb760e0ed080b050f3a3e9bfbf1d7669fdf1

Observation 48e5c4bc-0e73-406e-a0c0-b85df1b58bfc · outbound

This paper cites ICML , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML , year=

Reference 102

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source=arxiv_source observed=2026-08-15T14:17:56.882312Z digest=sha256:6ea28397e46aeca41a0ec565b1b8ebf035b2dad2bc03f98bffddb621ab8f7773

Observation d5fece4f-4f2b-442f-9455-42c19c23955a · outbound

This paper cites Eight Methods to Evaluate Robust Unlearning in LLMs.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 103

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source=arxiv_source observed=2026-08-15T14:17:56.885495Z digest=sha256:cddf843e3061f5df54ea2ab74b7ee6b6d084ecf63691ec24896b0524bd91401e

Observation 56e90d0b-4816-4603-96fa-739e01eff84e · outbound

This paper cites Predicting Structured Data , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Predicting Structured Data , year=

Reference 104

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source=arxiv_source observed=2026-08-15T14:17:56.888775Z digest=sha256:f93e32ecdeb420c6fc7b9a315aff9bdf18bb288794f4cd1ece06894c54bb957b

Observation c620f938-d69e-4c31-939f-93386a7af807 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning LLaMA: Open and Efficient Foundation Language Models

Reference 105

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source=arxiv_source observed=2026-08-15T14:17:56.891732Z digest=sha256:91986d5491f01d5a2790992c0c79c32178e4d984c93a97f978f7d2652bf45d77

Observation 43d488fe-4b66-48c4-bb81-5f15bbdb8e0f · outbound

This paper cites ICML 2025 Workshop MUGen , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICML 2025 Workshop MUGen , year=

Reference 106

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source=arxiv_source observed=2026-08-15T14:17:56.895113Z digest=sha256:44c4c3d32a4a421c82b7029a0bd0f547d32fd6101fdfb04c85e1609ad9947bab

Observation 68eed0f0-23dd-423d-8af5-280034ca549c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 107

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source=arxiv_source observed=2026-08-15T14:17:56.898318Z digest=sha256:dfb141b5cc28aed3ea860b9ef2a47cd767ccbe2dd9cc27b994f109504c488a36

Observation 12450cdd-163a-4dc4-99e1-75a060ec732c · outbound

This paper cites Simplicity Prevails: Rethinking Negative Preference Optimization for.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Simplicity Prevails: Rethinking Negative Preference Optimization for

Reference 108

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source=arxiv_source observed=2026-08-15T14:17:56.901653Z digest=sha256:0e584cce6e8499db325be8fc84579f087fdf07475ae40493391fcc1a8d67667f

Observation e5b506ec-7585-4f27-b28d-78afade44062 · outbound

This paper cites ICALP , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ICALP , year=

Reference 109

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source=arxiv_source observed=2026-08-15T14:17:56.904795Z digest=sha256:a1fc258ec9c151fcf89933fe4fc72be36487f5a3606bdcd49079b893a426d68b

Observation 2ba04b41-0fb2-44bd-b561-9718063ce3d4 · outbound

This paper cites CVPR , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning CVPR , year=

Reference 110

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source=arxiv_source observed=2026-08-15T14:17:56.907852Z digest=sha256:f32c166e73f9490b0ac5d124329ccc0150f54335634a1502cc8356175478ca15

Observation c67fe5d1-413d-4a34-a6df-d2d6a47cb10b · outbound

This paper cites S&P , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning S&P , year=

Reference 111

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source=arxiv_source observed=2026-08-15T14:17:56.910962Z digest=sha256:e30230c6837ecf566fa28eb4f3aa7c9bd4f465d34275f1e0a17ad66481e98d91

Observation 51d4b966-6fbe-444a-ad4e-b4025d3b9b25 · outbound

This paper cites ACL , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning ACL , year=

Reference 112

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source=arxiv_source observed=2026-08-15T14:17:56.914164Z digest=sha256:7574ddb626a1b4ec4b42cc5116a7573ddbb13f5b37d1e487b97d137981dd9b0f

Observation 343ddb32-ec40-4271-97a1-fbe2795eda86 · outbound

This paper cites Large Language Model Safety: A Holistic Survey.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Large Language Model Safety: A Holistic Survey

Reference 113

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source=arxiv_source observed=2026-08-15T14:17:56.917236Z digest=sha256:8dfb6a61e92a6bfb45481a3e0ce8e3f6ab3414339bf57fdea13a337a13eb7ccb

Observation 30e58c9a-0463-44ee-9472-da3641a0f972 · outbound

This paper cites NeurIPS , year=.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning NeurIPS , year=

Reference 114

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source=arxiv_source observed=2026-08-15T14:17:56.920868Z digest=sha256:711fe07b71bb2bdfda7d94e181e4b6df91f68154f4f3ee6803cad484056f55a7

Observation 8f70f741-8c78-4ceb-b004-fe559058e81e · outbound

This paper cites A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models

Reference 115

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source=arxiv_source observed=2026-08-15T14:17:56.923997Z digest=sha256:af4c58e7fc9125380d6d50fb3ac2ab31c8b6a7a7c954b00bb06909f70787cf83

Pith citing papers

No inbound Pith citation observations are available.