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Paper Citation Record · LEDGER

A Model Merging Approach for Continual MLLM Unlearning

As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.04548.

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

pith.paper-citation-record.v1
2608.04548 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:43.480187Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59408797-55d0-4679-ac45-5a56fe79be39 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

A Model Merging Approach for Continual MLLM Unlearning Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:38.642266Z digest=sha256:628497a89933f7657e33ec09073d0eca6d3b921cd3aa0294ebd36ebbb7b43941

Observation 01881f18-33e4-4a8b-af9a-908d6af436a8 · outbound

This paper cites Classification Problem Solving.

A Model Merging Approach for Continual MLLM Unlearning Classification Problem Solving

Reference 2

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no resolver link, observed 2026-08-06T22:22:38.733806Z

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source=arxiv_source observed=2026-08-06T22:22:38.733806Z digest=sha256:89213611c16d818c3c1afaf1123f137a0d9a813afd945c1924a758348f73f381

Observation f4a65a2f-55d0-4ca0-94c5-ea0ab8aab3fb · outbound

This paper cites , title =.

A Model Merging Approach for Continual MLLM Unlearning , title =

Reference 3

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no resolver link, observed 2026-08-06T22:22:38.832256Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:38.832256Z digest=sha256:e3aca6794881a428b523a2f12a11d47df532c8fc83d92e170794fa2a6824491e

Observation 402979e9-b0be-4194-8515-225dd548b5a8 · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

A Model Merging Approach for Continual MLLM Unlearning New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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source=arxiv_source observed=2026-08-06T22:22:38.931660Z digest=sha256:bef7a29e6e939d37ddb8f281712f169aeb1cb12f9fdf4f2b4c0e9c3991c8dd3e

Observation e7c0c348-b169-48cb-8abd-1eeb27067c82 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

A Model Merging Approach for Continual MLLM Unlearning Clancey and Glenn Rennels , abstract =

Reference 5

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no resolver link, observed 2026-08-06T22:22:39.010905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.010905Z digest=sha256:e91d49b1582470debe03b188198e469fb129aef90bac38c098a8c3a0d2be772d

Observation 4ca12056-b6fc-49bb-983f-7994300b9b27 · outbound

This paper cites and Rennels, Glenn R.

A Model Merging Approach for Continual MLLM Unlearning and Rennels, Glenn R

Reference 6

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no resolver link, observed 2026-08-06T22:22:39.092648Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.092648Z digest=sha256:3bcfbaf113f635ffe957e8c5891402eeb4a59cbfd21da360d655a413ad34f5ca

Observation 60e631ff-a82c-40ac-acab-045f4cd5b172 · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

A Model Merging Approach for Continual MLLM Unlearning Poligon: A System for Parallel Problem Solving

Reference 7

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no resolver link, observed 2026-08-06T22:22:39.157281Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.157281Z digest=sha256:7ed09c80a172177f695ad0ddbeb6bfe2c07aaaf7a700fc4aa23103c7b9a2bb35

Observation cb6083fe-9eb7-4210-9985-a8b0efd35de3 · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

A Model Merging Approach for Continual MLLM Unlearning Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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no resolver link, observed 2026-08-06T22:22:39.243477Z

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source=arxiv_source observed=2026-08-06T22:22:39.243477Z digest=sha256:bfef0de1783c0a04c428bc8d9ee977a0265c99535cb69d7bc611c94c3d469a1d

Observation de4e6850-9f32-4a7a-b117-51c1fb94ceeb · outbound

This paper cites The Engineering of Qualitative Models.

A Model Merging Approach for Continual MLLM Unlearning The Engineering of Qualitative Models

Reference 9

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source=arxiv_source observed=2026-08-06T22:22:39.329830Z digest=sha256:7ad2f4ac4f5e40597135d3e1ab69996a1851df5b7aeee75a39b225644aefda22

Observation 68bfc449-d12e-4c7a-a61e-d88f2549dba2 · outbound

This paper cites 2023 , eprint=.

A Model Merging Approach for Continual MLLM Unlearning 2023 , eprint=

Reference 10

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no resolver link, observed 2026-08-06T22:22:39.453676Z

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source=arxiv_source observed=2026-08-06T22:22:39.453676Z digest=sha256:d26727cbd744e059d819f955f623741707b7c84a39a0c16978df103e48d1cfab

Observation 345777e8-1b33-4c24-a0f7-6516c52fd14b · outbound

This paper cites Pluto: The 'Other' Red Planet.

A Model Merging Approach for Continual MLLM Unlearning Pluto: The 'Other' Red Planet

Reference 11

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no resolver link, observed 2026-08-06T22:22:39.549229Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.549229Z digest=sha256:d5fa1280b07b15d82028481cad5b556fc55f00e86c2bb200927902744b1e0ca8

Observation d355099b-3609-4a73-8e85-c5fe31c895a4 · outbound

This paper cites Intersoft Consulting, Accessed in October , volume=.

A Model Merging Approach for Continual MLLM Unlearning Intersoft Consulting, Accessed in October , volume=

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.616157Z digest=sha256:6251cbb394a1d44bb10c0d76af68fae91b281e2548e900eab28e71a2cfd88705

Observation c18f1a42-e9c0-450b-8a10-16a001d07bbb · outbound

This paper cites Santa Clara Univ.

A Model Merging Approach for Continual MLLM Unlearning Santa Clara Univ

Reference 13

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no resolver link, observed 2026-08-06T22:22:39.718384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.718384Z digest=sha256:1546bd519ffed9176cf270b90160c47558da43f926216fa1805483c789498723

Observation 5d2d2d30-5ced-4787-aee2-2b9fe87b0d45 · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 14

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no resolver link, observed 2026-08-06T22:22:39.808845Z

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source=arxiv_source observed=2026-08-06T22:22:39.808845Z digest=sha256:eaa6355a55cba1275a64e872ea53d3e0e758cc71064e428f9cadb75edb9f0474

Observation c999ec79-63c1-4ae2-bb4f-434e6acaa334 · outbound

This paper cites Digger: Detecting Copyright Content Mis-usage in Large Language Model Training.

A Model Merging Approach for Continual MLLM Unlearning Digger: Detecting Copyright Content Mis-usage in Large Language Model Training

Reference 15

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metadata mismatch
local_arxiv, observed 2026-08-06T22:22:44.031107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.897261Z digest=sha256:9d18267c6b218bb39cb1303942b438c058d0a98d6d566c20ed9fb2baeebeb384

Observation 215c4465-b58d-4aaf-ac55-9a422480e20d · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:06.437399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.988107Z digest=sha256:74b932b7c12888099fdf8c53e75b2bd218c89bb8fd279ce87db018f366bc12b2

Observation fc83ea87-60ba-4027-9609-957c2760676e · outbound

This paper cites Annual International Conference on the Theory and Applications of Cryptographic Techniques , pages=.

A Model Merging Approach for Continual MLLM Unlearning Annual International Conference on the Theory and Applications of Cryptographic Techniques , pages=

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:06.341461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.079025Z digest=sha256:184be08820c8d63c6eef4e4252e4872d67fde5e80a6ab8d84c0ef9c200b48ed1

Observation 4d023110-571b-41c8-aba5-878a087453ad · outbound

This paper cites Advances in neural information processing systems , volume=.

A Model Merging Approach for Continual MLLM Unlearning Advances in neural information processing systems , volume=

Reference 18

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no resolver link, observed 2026-08-06T22:22:40.162604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.162604Z digest=sha256:4f41366f7fff2d087d7fcef449b0bfb935f997540151c4b1f93c56330e318154

Observation e16d4ff8-09e0-4581-bffe-9a071dba1863 · outbound

This paper cites 2015 IEEE symposium on security and privacy , pages=.

A Model Merging Approach for Continual MLLM Unlearning 2015 IEEE symposium on security and privacy , pages=

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.259301Z digest=sha256:1b097dacca7aad1fd284b733f4151f3a8332d187b4fa9af7af052498d3c50237

Observation e99aaa55-8642-432e-affc-c9de144736e2 · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 20

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no resolver link, observed 2026-08-06T22:22:40.350329Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.350329Z digest=sha256:559b64efaa6219f06a01418b2856c67c3f1f2a0d39e57c0b83a1b4cbc5188034

Observation d45db407-f35a-4ec4-b8ca-46002817d4a9 · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 21

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no resolver link, observed 2026-08-06T22:22:40.441414Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.441414Z digest=sha256:defa91d80c254eb9979297a5bb1aa1a96056693e83e3cc9545d17ebb442c32f0

Observation cdb33bb6-ea28-49ef-94d3-77c00c2d5ee6 · outbound

This paper cites International conference on machine learning , pages=.

A Model Merging Approach for Continual MLLM Unlearning International conference on machine learning , pages=

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:06.189524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.525889Z digest=sha256:ac29e795aa49b0a077b74116e11575eb14e302c35a9cbd112b50e11418f5011a

Observation db1f4b70-8b39-47df-85e8-6c5d711c87ef · outbound

This paper cites MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs.

A Model Merging Approach for Continual MLLM Unlearning MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs

Reference 23

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source=arxiv_source observed=2026-08-06T22:22:40.595179Z digest=sha256:726a13592da437d771284be97a70ee2e49aa9ef960ee8019b22fb5d694e1046a

Observation 5c3cf23b-ee8d-4593-9ffc-0bef56c43b7f · outbound

This paper cites ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models.

A Model Merging Approach for Continual MLLM Unlearning ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models

Reference 24

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no resolver link, observed 2026-08-06T22:22:40.672171Z

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source=arxiv_source observed=2026-08-06T22:22:40.672171Z digest=sha256:5e5dfa72545f734b7cc89ccac60ada59913cc85384346b38a009831ae51522be

Observation 5efff4f1-c6bd-4ba5-b6d6-770b5ca3b643 · outbound

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

A Model Merging Approach for Continual MLLM Unlearning International Conference on Learning Representations , volume=

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:05.997031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.753043Z digest=sha256:9f79f8a1d48215d791e137ce82443592987330839cc0782108615e796f7706d6

Observation 2ce3001e-bdff-4a3b-b012-4693ccb162ca · outbound

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

A Model Merging Approach for Continual MLLM Unlearning International Conference on Learning Representations , volume=

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:05.585519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.842359Z digest=sha256:f046e4a8e9cf5d93f9e0cebf7c653e655e0d27317da992491357aea204470713

Observation 139cad28-3691-4977-b30d-cfeade2f89fb · outbound

This paper cites arXiv preprint arXiv:2507.01271 , year=.

A Model Merging Approach for Continual MLLM Unlearning arXiv preprint arXiv:2507.01271 , year=

Reference 27

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no resolver link, observed 2026-08-06T22:22:40.955184Z

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source=arxiv_source observed=2026-08-06T22:22:40.955184Z digest=sha256:fdc7da0055ee2bf6e869b7b2b83d8dab00230489d37a3c281ab032462dc9b34d

Observation 8736480d-19ae-4648-b77f-a4249b70f9bb · outbound

This paper cites an unresolved cited work.

A Model Merging Approach for Continual MLLM Unlearning Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-06T22:22:41.056249Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.056249Z digest=sha256:1bb63699255cdb7596454613208f20fb94716ae500c3f3d7888bf1e67b9e65ca

Observation 0fb7f6c4-1acd-4c17-bb39-d5c16e1bddd2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:23:03.827049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.103320Z digest=sha256:745d66250a2f14bf4e0447e20173b730663fd850c97dfb43ba8ba4a75474bb78

Observation 03764f81-d880-413f-bb9e-fdf20b881e66 · outbound

This paper cites 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P) , pages=.

A Model Merging Approach for Continual MLLM Unlearning 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P) , pages=

Reference 30

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unresolved
no resolver link, observed 2026-08-06T22:22:41.156734Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.156734Z digest=sha256:88ba54da2855bfbb2fcb94aa55cf49a048a350fa4105151fa6671e4f575993c7

Observation d17faa42-2c76-4022-be6c-dfe0c06e5674 · outbound

This paper cites Conference on Lifelong Learning Agents , pages=.

A Model Merging Approach for Continual MLLM Unlearning Conference on Lifelong Learning Agents , pages=

Reference 31

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no resolver link, observed 2026-08-06T22:22:41.211088Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.211088Z digest=sha256:23f5218df8f4c5e003ab3fd77949628b5c57fac7721068739ff4859d85a57543

Observation 356d9e68-e405-4616-9892-27a0709622da · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

A Model Merging Approach for Continual MLLM Unlearning TOFU: A Task of Fictitious Unlearning for LLMs

Reference 32

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no resolver link, observed 2026-08-06T22:22:41.268384Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.268384Z digest=sha256:696a48e9ceef4328730732bef1b9f52a7847e5c29cfa6d0112c4a6a2d8466101

Observation 0c92b294-61b3-45b3-8329-3f6e99594ef8 · outbound

This paper cites Advances in neural information processing systems , volume=.

A Model Merging Approach for Continual MLLM Unlearning Advances in neural information processing systems , volume=

Reference 33

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no resolver link, observed 2026-08-06T22:22:41.322293Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.322293Z digest=sha256:9b66c596ca45291a4523d42e0af4a36b00d0fc8975907378a4efd06f3948f313

Observation 779fba65-6ec7-4f16-98f5-04222c900329 · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

A Model Merging Approach for Continual MLLM Unlearning Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 34

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no resolver link, observed 2026-08-06T22:22:41.375533Z

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source=arxiv_source observed=2026-08-06T22:22:41.375533Z digest=sha256:e95784b315595bd790c1dd3fedfed497c6faeb0470a4637a34ab184db29b8c21

Observation d97627bc-e239-441a-96e7-1cfd4e584851 · outbound

This paper cites A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction.

A Model Merging Approach for Continual MLLM Unlearning A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction

Reference 35

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no resolver link, observed 2026-08-06T22:22:41.435478Z

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source=arxiv_source observed=2026-08-06T22:22:41.435478Z digest=sha256:a59ba044f0313f3c709935491612616214d24de6ad9c3b2e94d96edcae642e19

Observation 31ea6f29-9732-4e71-a275-ef7b5636aba3 · outbound

This paper cites ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models.

A Model Merging Approach for Continual MLLM Unlearning ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-06T22:22:41.495413Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.495413Z digest=sha256:8607cc819e4eb3006600a5b27b718a735970f32c16f728bd0f43d639d91d1f58

Observation 7fd09a3e-4dd8-4eb3-bb03-878e0ba91eaa · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T22:23:03.533745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.558914Z digest=sha256:864e6c9ea15ce1459aef7c70d79cb1375a21744373ca013e87c6d419755787d3

Observation c4379c58-41d2-42ed-b6f9-541596df7618 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:23:03.321645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.615054Z digest=sha256:9d52769078c4f5577819811dfea0e236a554e0f27176c0db7c5e21c92e3b90ed

Observation cc7f998b-9dd5-4a53-9f15-90ba59344933 · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:41.681883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.681883Z digest=sha256:083c90e6ac92743d0565e54f7a3ed8fc0da35a0b237a11d6f5df40dffcf8909e

Observation 4e16c272-8827-482e-bd51-eeff1e6b8a6b · outbound

This paper cites arXiv preprint arXiv:2512.11325 , year=.

A Model Merging Approach for Continual MLLM Unlearning arXiv preprint arXiv:2512.11325 , year=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:41.741067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.741067Z digest=sha256:23e4a270259902f9cbe7a6cb0d55d973de3642519fa2aa61aa79e3f54730a99f

Observation 45159019-cded-4c9b-b158-f66c1ee80ebd · outbound

This paper cites Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning.

A Model Merging Approach for Continual MLLM Unlearning Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:41.800399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.800399Z digest=sha256:48e852022b793f4eb07bcba0f156f5d016d1ba6967e014e7ca20b2591473071c

Observation f0989817-216d-49e4-802c-c8caf0c820e6 · outbound

This paper cites MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning.

A Model Merging Approach for Continual MLLM Unlearning MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:41.858745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.858745Z digest=sha256:7a1c44810eefd89e75c829725fdfc61b37b9d1eb1e710f1257e8386606115bf5

Observation 2fc58711-bae9-4a9f-b151-eadb1437edab · outbound

This paper cites PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models.

A Model Merging Approach for Continual MLLM Unlearning PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:41.943816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.943816Z digest=sha256:499cb85efb3a7654eb4b7d5418ccd6c2ad45b995d8df7c5acd187eee2de0481d

Observation e895f0a0-3646-4490-a3d6-7eeaea91affd · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.031798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.031798Z digest=sha256:b76041fc2421d28013acedab53918a6d4ce806a6f9b75bc94984c7e4ce0ceef9

Observation 8c307f32-babe-4eb4-87d8-e00b81cc209b · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.086297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.086297Z digest=sha256:db9fa5eb4e12f9ea57363cef31e43242fe19eb9b864a6f938420ee2dd73b2248

Observation b21c47fb-9245-40e0-945b-391694c79704 · outbound

This paper cites Engineering Applications of Artificial Intelligence , volume=.

A Model Merging Approach for Continual MLLM Unlearning Engineering Applications of Artificial Intelligence , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:45.628532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.135422Z digest=sha256:6b534dd3beb989542cb99f61e2b1fd0f0c44ad4ee93f03b3fea8c5d7b613a0ef

Observation 2e0bc165-b256-4b2f-8bcb-fbf8d3dda1cf · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.188451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.188451Z digest=sha256:e8d0d9fa0ce3ace8db2383397385cc626e944cb0d72a7b2d685c36c333f9eda4

Observation 4d8b72b4-af68-4b0a-bb9b-788b8d3cca02 · outbound

This paper cites International conference on machine learning , pages=.

A Model Merging Approach for Continual MLLM Unlearning International conference on machine learning , pages=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.257723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.257723Z digest=sha256:789a7caa4c50df1a10e9505df00646dd07afc9412e2e133f43ed222913d03d7f

Observation 20c7078f-68b2-47a3-9d47-072c7e8c7063 · outbound

This paper cites Editing Models with Task Arithmetic.

A Model Merging Approach for Continual MLLM Unlearning Editing Models with Task Arithmetic

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.310741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.310741Z digest=sha256:8dc1ff56ee2b9f7a72c9a6ccdaf03e16d5c4d9dbac75e899e0ef0d123eb3d2f9

Observation e16ed26c-1157-4bdd-9540-85481c4bdced · outbound

This paper cites Advances in neural information processing systems , volume=.

A Model Merging Approach for Continual MLLM Unlearning Advances in neural information processing systems , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:44.844660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.369656Z digest=sha256:5d589fa310ef5c585dfc47eaa17a2b4520bb5bb165496a56aba5927cd369dcf1

Observation 6e83493f-e8c4-4768-834e-140ba2ed7a89 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

A Model Merging Approach for Continual MLLM Unlearning Forty-first International Conference on Machine Learning , year=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.423805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.423805Z digest=sha256:8597984a0c981e239d3dda422dadce39da30c7a7d1c94163ca2140f8f8de217e

Observation 7f1d5559-9eeb-468a-a5b6-8d723c374db0 · outbound

This paper cites What Matters for Model Merging at Scale?.

A Model Merging Approach for Continual MLLM Unlearning What Matters for Model Merging at Scale?

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.551293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.551293Z digest=sha256:a80ef416629e57d8eb1668146613b8ad0e393cf2652866905105a63ca697a7b4

Observation 9a4ca23b-6743-46ba-88c6-275abac36fd4 · outbound

This paper cites an unresolved cited work.

A Model Merging Approach for Continual MLLM Unlearning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:22:44.580466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.614299Z digest=sha256:80fb0d98fd8bdcf7795a33f3abf0dc8787dd073a2ddd0c3552d2d374cae6e543

Observation 9130dbf5-8ca8-4297-ae34-c3599661666e · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Advances in Neural Information Processing Systems , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:44.307066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.690166Z digest=sha256:eb3bf1777ee3083793dd8aa2b4b85c2f000f8260a5c1b245805188beade16136

Observation 4c3ed814-6f86-4244-bedf-48ef489e57b5 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.783330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.783330Z digest=sha256:b374118ededcb81deb837698263e966a98499144459d219f5cfba9788e9bc82e

Observation 066b7776-0a32-4a52-9342-b9b1c3570782 · outbound

This paper cites , author=.

A Model Merging Approach for Continual MLLM Unlearning , author=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:42.943254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:42.943254Z digest=sha256:6661c204aa99080867aa099e497bd7bd62253577287905996b0f15344d791edd

Observation 1eb0f636-44b5-415e-9178-ad9bfa0a3133 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

A Model Merging Approach for Continual MLLM Unlearning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:43.038190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:43.038190Z digest=sha256:644e5ff358b9d3682f9936b3c07325bf13c776a3151d5caf304727b66268525c

Observation 71c34f41-e728-4396-904e-4c79950bf60b · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

A Model Merging Approach for Continual MLLM Unlearning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:43.162580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:43.162580Z digest=sha256:663c5af7e5754335029b9f66dbd13d64099321744db44a2aeb923b92eb9738ab

Observation 6e1d3564-7062-42fd-b345-0f1598ece987 · outbound

This paper cites CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic.

A Model Merging Approach for Continual MLLM Unlearning CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:43.309874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:43.309874Z digest=sha256:25d904336b1b593d8df0da78e87ce4eb9254c6bfa68bb9d5103ba59a853828c2

Observation 29beede2-0be9-42ae-b944-8f9773eb399e · outbound

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

A Model Merging Approach for Continual MLLM Unlearning Findings of the Association for Computational Linguistics: NAACL 2025 , pages=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:43.480187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:43.480187Z digest=sha256:b6f5985787f8aae78876c884d07a1c2a16261042326e99313ae39d51a5a8c154

Pith citing papers

No inbound Pith citation observations are available.