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Paper Citation Record · LEDGER

A Model Merging Approach for Continual MLLM Unlearning

As of 7 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 2026-08-07T06:34:17.273281+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:f381261986c62202e4d1340955ae0c3ab5ca636aaa20feaaf391156ce13b52c1

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=sha256:97c13fbadb28593871f76c0a3f4eeb6c823bc440c5da7bdffdc88242781e5306

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=sha256:8ff06c6816f62e471efc20372b3f6b2c485498ebd8d4d1f0bcfe9a239dda9d4d

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:dbafbf8eba528a4b815c41f02b245284c096bcb68b134b7c0a5d1de7413633a1

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:e3aabf612ff0d38976c66417fb3ac553752bb83589a15a102aa3c3f54e2af259

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.092648Z digest=sha256:3d22edd4b32ff7f9fda051d8f8cafbd5ac5bd3c11d203db1d38166a7e805e452

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.157281Z digest=sha256:fdb3dee489b3059c74bc7cd563227b8901fc86b6fba455c824559b578f1f3155

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.243477Z digest=sha256:eb98718e6c34552cb467c1cf4dd23df0eea0a6326958d8755030e1da10149868

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=sha256:3130af54c5ef5ff706d06266a0636ce03c2918f2847ec1746d63311a16487e62

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:dc89f770f9c53e80ce156c73bc67ebe8db20218fdf0f12a26d579551b9716b8f

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=sha256:2b2e7ca3c3e456ccfeef2a2ea66070c53c9aada1fbc33ac3c5b284effaea57ab

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.616157Z digest=sha256:01d9240cfbddfddba7f9f7bf47e4d83d71f4752b18b0ee6bbb3483414c3754bc

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=sha256:7022ac70d275b8430e409d9ad0e72f89fea58d4012f25187e23cc6254e4c6992

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.808845Z digest=sha256:910d4fa89269b159b2e65863c49c745476528f1fd523313b8399de8bcf5e1b93

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.897261Z digest=sha256:37a16c92c44b5d3c04dc1709ccbd0525b66999d36a6af9452b5442f8479b4e96

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:39.988107Z digest=sha256:e7c04c85fa8fc654cba97efb0987e6bc666bba56340a36e122d6a20b1a5d9eb5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.079025Z digest=sha256:163c77000223efd3cea8656b1bd111d10cf76260da1ebd4514acef82918b5aa5

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=sha256:662c6926838539528a7a7996d78f43614a61027dcf41b396874f53f5d0f4826d

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=sha256:205af65c96b1cfbc3b2996fd0e970176dd2276075e3d99eb110f496f0c59c38d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.350329Z digest=sha256:7aee97b57a1c6d704aeb55d8fd11c03cd06203ee6fc827628a3c8c69189b028e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.441414Z digest=sha256:a931d3d670db6478b9d737149272db38998fe884806c547a730bb8f70420f772

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.525889Z digest=sha256:2916c1b6aed31222438200f40ac31534877ee2f2a2f8f0adb4a088434cc8542e

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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no resolver link, observed 2026-08-06T22:22:40.595179Z

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source=arxiv_source observed=2026-08-06T22:22:40.595179Z digest=sha256:d7421ca50299005310f54ec9028506ec4e5c9c4d9bb9718643ebba0411b10e6a

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:bcbd2c2360b54988f31b9a92328df64a9240c0af1c32c2ce3ea7aaee26f1a233

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.753043Z digest=sha256:c8aa88c98db7043a1b61c804633b6be1607719ad99212c7483e4e19fce0b26d5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:40.842359Z digest=sha256:6a790e25ef3437acd630f89475d07350226a032e0be3fd4851f3ea7c57ea32a0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:40.955184Z digest=sha256:96b224cda46ca6b460445f7ab0ddaff4eac8bcd6871a8db0414bf90d280ef808

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=sha256:61747390303c7d58bcd24a3c42700b86eb0a1639e4a0b4184588ffa950f07b02

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.103320Z digest=sha256:410b0f0dabab644fdb0bf07f0ebad93d8626c51b88a819aea7d993878506a9a7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.156734Z digest=sha256:b4b42ceaa72a4302efb8210cde9d77b056ffa3e92dcc62d7f8dd9f1ed6b9b5d4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.211088Z digest=sha256:22d60c317bd3cf4328af0fcbb172a67026967c2bb987e3f1025742a9536e3b5d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.268384Z digest=sha256:553ad5b6ef069244fbbeed5f821f8ed7a98a72f79765f97aebc28d1c802723a3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.322293Z digest=sha256:ede9004feb3a5d419d759b30c76c5f0dab6956d1cb1f4fdacf755be6c8594b3e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.375533Z digest=sha256:40be2207e9327c8953231181b641edde12312ccfdb839ae60d641599126d41a3

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:41.435478Z digest=sha256:fa0f1e0bbd5755b52adc43800180e117ccc32ecfab6587adbaded1a317b27b2a

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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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:c87dae030c8b4ce9be8a7384bb410cbc4d9dc2f3f2b1e8b7741367f068531c4a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.558914Z digest=sha256:26346b3c539bf64b4eaf38c4b0f44cddca880c792ce03df7116a05935bbc45a8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:41.615054Z digest=sha256:1ae7a87dab0e3c041b1f91c59d507f188a81d88af5107e8dd3e7dbd48a0c5385

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=sha256:12771478339c17d2de33dc3f496c19cadba52a8855f46358ed1a30c9a3c96905

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=sha256:41091835fc31177c5d17d630e0922062982233ab418bdd6ca15ae638c5e5cdbb

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=sha256:4c133587bf760a2d7a6a59932df7ce9cd1a0635c4106babe30b60b923a57ca95

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=sha256:8a66cc6deb6912864c03b214a293156f0f33c594662855066b6ba2d5b9f832b9

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=sha256:67f3949da156f6c0167127046461e55a3cfc5faf4d0ada5e7c8e94d86c055dcd

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=sha256:7dc41820e7eb35131122acc65d01e6e8cca10ef739fbbea84c1759e83f678dbf

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=sha256:0607d7780d102186c0482d4bd63694f5ea3aa38bf8b9d667e2f12096045fc3f7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.135422Z digest=sha256:2df83b456a1a00947de68f5f67f2113f6cf5ff49a6ba7acd3bb1233226daf294

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=sha256:2949eaacdf833ceebd1354f02f14022aaad9d5abfb0273913ea2e9f0d1597dc6

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=sha256:0a47c8fe3d310fa1171127ea1312bfe3b2988d76476b6481097763735527b5a6

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=sha256:05eebc59913b8b2daf953e2d580ccfd1497fea8faeb12e5dd30c75ae9678b6d6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.369656Z digest=sha256:bd841bd70b1306b09dea6a842e75b188032691ad9d77b6ae37521d1b0f69847a

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=sha256:622f354f5eb669237c475c273f2b6c658096b2f57f3f0af5e6c29c62b326e9ca

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=sha256:8f17afe8b55c0453d60013cdba4adc381e7269db9d9a18cc1c8efe10a94c753f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.614299Z digest=sha256:b103fa43e27e9a3067c2657b9461ecceb292b96c7844ba1874e68ecd1e2d4431

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:22:42.690166Z digest=sha256:678b814645d2d969a28c5d854a328318a6d9e315d826ca8cb92075854fb47200

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:c759ba87d0778acd55fd62df4085679592e8d3a85cf2d2fc0f22ad9910fc69b4

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=sha256:4ce7bf045f830c975b3816e8b9e96d6be929fac87dc19037d4497e119232aeac

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:fac35ff4ebc09908a2f64ec93c0b41c160cb1e8ff2d5f9d529e2b7a13d9403a3

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:d69d2668cdf9ec64b8c85d2b207baefb1da0223b7239abb4607d75d07e01c484

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=sha256:4d9e2f63ba4f4bedb1252d5015717cc862abe4a969d16cc985714d662dcf323c

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:e9f4738fec17cce333bd0f706c87fcd41da639d9991a43d006069f9d8d1579a8

Pith citing papers

No inbound Pith citation observations are available.