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Paper Citation Record · LEDGER

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

As of 23 August 2026, this Paper Citation Record lists 100 of 278 outbound references and 5 inbound Pith citation observations for arXiv:2506.13045.

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

pith.paper-citation-record.v1
2506.13045 v4

Coverage vector

measured 100 of 278 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:23.729973Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:31:27.300705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:28.956439Z

Reference resolution

100 of 278 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 748c114a-191a-4acc-90c7-655f02f4ca58 · outbound

This paper cites GPT-4 Technical Report.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T00:40:14.644296Z digest=sha256:eb253e79dbf563e46a22aa4ced87b4bff82bb0fa28d2e579693e405f06a41855

Observation 4118cd73-20a8-4f58-b0cf-9452dea1f93e · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-07T00:40:14.719150Z digest=sha256:79b324eaf1920e40b3a5fc949ffc8bb3b6435349a0d68550d2d7a24f94f0f1a5

Observation 08eda019-dd7f-4712-baae-21c9d19cab51 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-07T00:40:14.834450Z digest=sha256:dd0f3797f34f05bcbeea2abbee127189ddfea70a7959dbdd790c0f398f26707a

Observation bfd37ff6-eabd-4e87-8a7c-ef755c0d1e31 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-07T00:40:14.946399Z digest=sha256:f55f3bf10caebd7f7784e877bebb17b57dc0827278aff66f9343320afd0453b2

Observation e755928f-ca8b-41e9-a94f-df5762cf908f · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-07T00:40:15.027230Z digest=sha256:09571933fd4ff9b9f8489f5fa8f20bc195f3dd19b94a71ba273da488747a4312

Observation 93c684bf-1b91-4773-9724-a20868021b45 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-07T00:40:15.134539Z digest=sha256:cbf480a28e86e33975d0da0c940fd0e53ca8fc4d2e2e0a26f697d9f610cbf619

Observation 954786b4-f701-4cb7-a6a4-0963ceb96c59 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 7

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source=pdf_text observed=2026-08-07T00:40:15.222276Z digest=sha256:ecef88f21e18c866f1e37b2020ca4d4450f3fd5e9a43be1099098de6afdda73d

Observation 51122505-9366-4b47-b88a-44dfc62d74c7 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-07T00:40:15.302171Z digest=sha256:13c9d37d5ddcfb612294fe46cc44d6ac650e488e1093d4f6daed3dd311be9230

Observation fad56e56-f1e0-45ad-a642-0acdc6f04e3a · outbound

This paper cites Qwen2.5-VL Technical Report.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Qwen2.5-VL Technical Report

Reference 9

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source=pdf_text observed=2026-08-07T00:40:15.397521Z digest=sha256:451ccd71467a239947d4da0bcaa98d68e051fbe5860ebfed9e5a4b2ec5d77e41

Observation c0f54d5c-14d3-4563-8893-8c450a7853c4 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Hallucination of Multimodal Large Language Models: A Survey

Reference 10

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source=pdf_text observed=2026-08-07T00:40:15.516125Z digest=sha256:a4f8c98dac238ff0a59fe8cce5cc6e973ce1ea40426589adfabef703753e0ab7

Observation b5454bf1-fd95-4f10-bdec-ce6784eee5e0 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-07T00:40:15.594203Z digest=sha256:ccc5f0f3054ce586daf1314cbb5b7829b1f494af2a201aaffbfe42b42c37dd5d

Observation 1508f7f1-7999-4efa-9e92-e1d158f3f0b3 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-07T00:40:15.677586Z digest=sha256:69db2c2f88fe3386b6e6f176b816465967b476fb197e052a0e9abc1eeda66169

Observation a5328ab0-2904-47bd-9d24-396becdf44b9 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-07T00:40:15.763678Z digest=sha256:3160083d4ca34d9dd4ca320188b1c88b6fd7d652ae7eb403e9d66781870d7486

Observation 8b4bb1c3-8b0e-42ff-b2f6-6557b91d9197 · outbound

This paper cites Lifelong Reinforcement Learning with Modulating Masks.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Lifelong Reinforcement Learning with Modulating Masks

Reference 14

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source=pdf_text observed=2026-08-07T00:40:15.914354Z digest=sha256:53e07c48b2f7b0a041bf68d69b2bb14705d02e31dded2a3fd2a47b1dcd094d2a

Observation 9672c0d4-b22b-436f-8c68-e99fc5e87b85 · outbound

This paper cites FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models

Reference 15

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source=pdf_text observed=2026-08-07T00:40:16.025380Z digest=sha256:92249492ae30d07c4a421990b04e47fda09d88f274c0c40da7410fdb432c5245

Observation 70e3c51f-0afc-493e-9197-fea1f9e58e43 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 16

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source=pdf_text observed=2026-08-07T00:40:16.148926Z digest=sha256:0e21e5935cd4f320e2729edd0ac8bf1fbe1cf1c4e0ad17e59e8e111186ca5fd8

Observation f9e6ac21-8631-4ac3-80ae-a4f90631814e · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 17

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source=pdf_text observed=2026-08-07T00:40:16.259589Z digest=sha256:5afc537a55c4afe8f59c9661dd440fd9c1a4601f453e858467966e7273088280

Observation fb03829a-9cf4-4944-ad1a-a2de22396e41 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-07T00:40:16.378440Z digest=sha256:793552da4c95fef42a8d2c5776f6b42a52518907b8e28d5b8043cbc59144c31f

Observation c2feff39-16e6-4b66-8839-81b01bc822e6 · outbound

This paper cites Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

Reference 19

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source=pdf_text observed=2026-08-07T00:40:16.492956Z digest=sha256:cc4054f5a1ed33c716d0f39b4a6602518d8d0802b79a92271d22d7a06c7a0bef

Observation d363f274-379c-4690-8a04-3f1b8d42dabc · outbound

This paper cites CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering

Reference 20

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source=pdf_text observed=2026-08-07T00:40:16.603197Z digest=sha256:f04579d735f31c69c592b629a8e84c9edc5d447325983643f7bf59f30e377923

Observation 429028f9-ee9d-419f-b899-e5dd0d0f437c · outbound

This paper cites Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation

Reference 21

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source=pdf_text observed=2026-08-07T00:40:16.694520Z digest=sha256:eca7644c1cb3c553a08519557de499e7fcfb702b6cfb7a390c17bb029c500c89

Observation ab0a39a1-948c-4af8-8a5d-a96000ad60be · outbound

This paper cites Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models

Reference 22

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source=pdf_text observed=2026-08-07T00:40:16.807608Z digest=sha256:c32887f92c4174f8b7dbbf94f85b848ca5fd75c816ebcda95e6a44c78a40bd03

Observation 175206ea-5e8c-4731-9d0b-762f731bf5fb · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-07T00:40:16.901574Z digest=sha256:e906295333d1acb8e218ba88387e8b99017c72148ff222b510500b4929f7250f

Observation 55853938-041d-475b-a39c-993e964dae0f · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-07T00:40:16.984642Z digest=sha256:dfb27920efc4e33b51cc3680ec06282afc2c3432abab9d49723fd90ae540e59b

Observation 4895f3b0-2d74-44f3-8345-78878645bbaf · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-07T00:40:17.073401Z digest=sha256:59b7bc52127f3e74c3a1adfcf082dd4e06e6a16aec4b3f981c08b80127d4f76a

Observation dfc248f3-af8c-45cd-8c52-f9f778caaddd · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-07T00:40:17.178111Z digest=sha256:85e5cfe0ca9b861b45128e1b54cd2a126106e7698f2de261f6195841809c09f6

Observation ef71d889-30e5-445f-9436-009e82f16ba1 · outbound

This paper cites Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System

Reference 27

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source=pdf_text observed=2026-08-07T00:40:17.289614Z digest=sha256:096475a3a0ff0d2e8a68309e3aff3848fb8c9c34f5622b1e2e998b0c6624bbb0

Observation d99c106e-7c8f-46a0-8c7a-81ac032f95bc · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-07T00:40:17.400460Z digest=sha256:ce2973afeaed981ce2d5a4213d250525ecba2b851832f19e9d5ea3d1f907439e

Observation 0cff34c7-dafc-49db-99ac-11a1256c228a · outbound

This paper cites Towards Effective and Efficient Continual Pre-training of Large Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Towards Effective and Efficient Continual Pre-training of Large Language Models

Reference 29

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source=pdf_text observed=2026-08-07T00:40:17.481210Z digest=sha256:49f58fc4c79477eeccd48211fea774bd6d75f9db41485df281613fae74c78304

Observation 9eb17c07-7c54-4c5a-85ce-c007f17d8b11 · outbound

This paper cites SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning

Reference 30

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source=pdf_text observed=2026-08-07T00:40:17.556570Z digest=sha256:83bf56d404e954b37cfb9ededbee15d142922884e30d84ba1ce0ece8c09e2e60

Observation 77ca1757-28c2-420c-b7e1-869d8b605141 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-07T00:40:17.637192Z digest=sha256:727c9e74822e72fd96e30a940b0ee78448d263dcd7f4a52f96d79a79aabdf5c4

Observation f623d9b4-1130-43c0-8603-55747791ccc7 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 32

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source=pdf_text observed=2026-08-07T00:40:17.873778Z digest=sha256:ee91baeb30b03cbe2ac0bbb7831b6103550ef3b3098106eec5641c53a808d1ca

Observation e893c920-03f8-4d7c-9de4-dfdc3f3951f4 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-07T00:40:17.982395Z digest=sha256:a23d896d290a6cbd62f2fb4e360f6a07861282d5482071895c3a8dee4c752ed8

Observation 5ba7b8e9-cd30-4bbb-9b4b-4a787056305a · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-07T00:40:18.081202Z digest=sha256:f741cb7e02f21dc15fd1948b1f6c5b84fb9e2b3bf998b8d9cea2afd4bda2ff71

Observation a80f302d-4d88-4a5f-b01f-d33c787cb22a · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-07T00:40:18.185390Z digest=sha256:6a59a9a891a88c08233f40ffcb18c873386842881b4acddd188fb6699891a8ce

Observation 077f0b6a-046c-4a10-9c57-654d4156c6b8 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-07T00:40:18.272523Z digest=sha256:fae713e558c857e46d153a47e3f8efc02710fac7ffd05c3a4ebce4ea4f3ecb2f

Observation 7a4b0fdc-8592-405f-8240-3790dd164bf2 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-07T00:40:18.347973Z digest=sha256:cafd1a29b4909ca6d23a116c1f78a8d4729fe9843fe55d03c7672622aa8db4aa

Observation b53a6f26-bafe-4057-8939-3ac93358c424 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-07T00:40:18.425559Z digest=sha256:0daed6134fbb507019eb3cdf842fb0198ba62d3d801a6499f016a30d1883214b

Observation ae325670-0fee-49d8-b258-77e1afc648bb · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 39

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Observation 878c2401-3932-41dd-ab59-7a35e9808fe1 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 40

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Observation 20f69cf9-a1c2-4766-b937-84ebbe622cfb · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 41

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Observation 19e4f4a5-9252-445c-8857-a9f83f759e45 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 42

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Observation 50e33863-9bb7-4563-bb69-0b148de06f02 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 43

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Observation 07f72488-b4a6-4ad8-898f-b6a71901126a · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 44

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Observation 65c594af-b7d0-464e-9286-ff26d07fff3f · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 45

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Observation fe603198-5c7e-49a5-b721-f5158cd9b6c5 · outbound

This paper cites A Survey on In-context Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond A Survey on In-context Learning

Reference 46

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Observation 50dcc7d6-d006-4294-9336-54494aa5690f · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T00:40:19.247224Z digest=sha256:6eae515ee7f78d81174f58b07eb7619176ff78264772de0f1628351ee43747a4

Observation e4d5cc64-2ce2-4280-9d27-344b813c0664 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 48

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Observation 34943bd4-0330-4053-ac8b-d10b5c2eebad · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-07T00:40:19.514286Z digest=sha256:2f40535e64b1cd5d79db2bb70eba61f4bbd60fe9820691a55240e34ac4f667a8

Observation dd83fc7b-e672-429a-ab9f-5e381c581ec1 · outbound

This paper cites TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation

Reference 50

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source=pdf_text observed=2026-08-07T00:40:19.606370Z digest=sha256:9c8c616ccc561ce93d93a6a7005ee1f827ed3dbb2cebd355a89cb4a0591ae1ba

Observation 55341a8d-e7eb-4894-b3d6-19f26172326f · outbound

This paper cites Recurrent Knowledge Identification and Fusion for Language Model Continual Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Recurrent Knowledge Identification and Fusion for Language Model Continual Learning

Reference 51

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source=pdf_text observed=2026-08-07T00:40:19.719838Z digest=sha256:d953f180af6c365bf56829b1434f2351da1c12bf51ac910df679d66e893d8bf3

Observation 1b5e4fca-23bb-4798-b706-ccae4584fd73 · outbound

This paper cites Gradient Localization Improves Lifelong Pretraining of Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Gradient Localization Improves Lifelong Pretraining of Language Models

Reference 52

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Observation 13e261a0-12d3-48a3-a014-f124eb5b9efb · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T00:40:20.060801Z digest=sha256:9f932bfa9ea0a04f9c65e2b4a020cfe83cee48c804bc95e1e6942fed4927fa45

Observation 6f8e011f-2ebc-440a-8cc9-c75fec9a2434 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 54

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Observation a6b583d0-7c78-4c1d-841f-39f2295107b8 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-07T00:40:20.308064Z digest=sha256:af2abc52ca6df7ad5ef57fe02ef635c4c27544c64c0cb20b2b292cb23926a148

Observation 63024dd3-0e31-4646-b6ee-9c34bbfb24ee · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 56

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source=pdf_text observed=2026-08-07T00:40:20.476217Z digest=sha256:66ac217dc0ee18789a69929d7e35fea3d39abccd7ca55ada5dd245b38f3a28a2

Observation 96d8380d-dc7a-4d0d-83b4-111658ec0acc · outbound

This paper cites Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 57

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source=pdf_text observed=2026-08-07T00:40:20.613277Z digest=sha256:c1f5a05950540bfc75a77666f289ab75851d33bc30774d9463b32fecd9d67c2d

Observation 34d20c37-8c5d-47f0-b6a3-3af6aca0c267 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 58

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source=pdf_text observed=2026-08-07T00:40:20.678848Z digest=sha256:b5844a5662439a4f694bcaf67990baabe343ed03d4edf271e131b32f462604ca

Observation 3b7b9d9f-f74f-4eaa-aaa1-cc9b59646267 · outbound

This paper cites Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking

Reference 59

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source=pdf_text observed=2026-08-07T00:40:20.748927Z digest=sha256:84eb18b92d5f32819defc0ec6e16f2ba6088f734a0c4261cf82a19aa29f3807c

Observation 232424b1-de5c-46bb-bae4-f553d23b703c · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 60

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Observation 2f46a137-3efb-4dd4-a511-5b11a0ebfec1 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T00:40:20.831511Z digest=sha256:26912a535637ce90e041e74291f79f9215627dd8dc68266b67e8050768c623c0

Observation dd7b66fe-d590-4a48-9692-c1919124e30e · outbound

This paper cites The Llama 3 Herd of Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond The Llama 3 Herd of Models

Reference 62

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source=pdf_text observed=2026-08-07T00:40:20.887157Z digest=sha256:2ed14d61e131ef19a17e841babf0f3ffda57fb1d4cfcd107588f8fb470bc02f5

Observation c5e468d5-4cbc-482d-9b01-bec6c84d844a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 63

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source=pdf_text observed=2026-08-07T00:40:20.951270Z digest=sha256:3d8430f821e290c6220d6b7509aebc80ca29ed0933e0e549e0273cd606d241f0

Observation 4f16451d-12d4-4f8f-8492-7cf60724438d · outbound

This paper cites HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model

Reference 64

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source=pdf_text observed=2026-08-07T00:40:21.047717Z digest=sha256:def0f16963948a88b859aee10a8832535ede922cfc17e7f391be3ea11f7dbdc6

Observation 318df3d9-ca66-4677-ac09-7cb29b1a6368 · outbound

This paper cites Federated Continual Instruction Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Federated Continual Instruction Tuning

Reference 65

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source=pdf_text observed=2026-08-07T00:40:21.128497Z digest=sha256:1f356e495916ead70618f1345860d1b73e8cb6aa135e8cab5513fd8f81810d8a

Observation 754024e3-dd89-433b-8664-6c729397f797 · outbound

This paper cites DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning

Reference 66

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source=pdf_text observed=2026-08-07T00:40:21.198224Z digest=sha256:b263bd678e6f000fb6c93db1fbb96bdc73bbfd6da8ee2cb3816b5d6bc8776f80

Observation 4867052f-09b6-4810-be3d-e025bb1f628c · outbound

This paper cites Efficient Continual Pre-training by Mitigating the Stability Gap.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Efficient Continual Pre-training by Mitigating the Stability Gap

Reference 67

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source=pdf_text observed=2026-08-07T00:40:21.272531Z digest=sha256:f25d108b0ef1c89896480d9e9a031c3546bb951c1430093f9c33744873427a73

Observation cfca879b-8ccc-4355-b6aa-7c99d8fd2014 · outbound

This paper cites Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning

Reference 68

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source=pdf_text observed=2026-08-07T00:40:21.345565Z digest=sha256:1cc7e364a2c0da953a72e0ccefd378de970183ac6b8a1bff33e8052530c1529f

Observation 7c594d43-1aa7-4147-8322-d05287c928d0 · outbound

This paper cites Improving Vision-Language-Action Model with Online Reinforcement Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 69

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source=pdf_text observed=2026-08-07T00:40:21.447558Z digest=sha256:adf587f2aa6066c8546535eb3de6046d1a2a8475d17833a49286ca79d46f489c

Observation 54f5bb62-8b7b-47b0-9505-c96193c5e4d1 · outbound

This paper cites ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation

Reference 70

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source=pdf_text observed=2026-08-07T00:40:21.580050Z digest=sha256:6d82808b1f4d161ef330254470e0df75a9ca759cd3fdab089244d6e9a56bb7fa

Observation 919e91c0-e72d-476d-a769-8a95247bdc05 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-07T00:40:21.680508Z digest=sha256:1c444618f9004689b5be634fb8a14fe50c1cbd95a52a3fd943e5089b56b8f137

Observation 55052ecf-4710-42ca-a5de-5902d08e9e76 · outbound

This paper cites PolyTask: Learning Unified Policies through Behavior Distillation.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond PolyTask: Learning Unified Policies through Behavior Distillation

Reference 72

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source=pdf_text observed=2026-08-07T00:40:21.846962Z digest=sha256:b5ea19eb12435e7af8c51a5f5de5bd6e74fd00acc2ce00b93a1782d3ff02f2ad

Observation d359c03a-7aad-4982-9c5a-49b1d273e160 · outbound

This paper cites SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture

Reference 73

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source=pdf_text observed=2026-08-07T00:40:22.014455Z digest=sha256:45cd8187be99aa51c4dcb8ea9aa57142a57bb012bfcf7f01d55fa737b962405f

Observation 3d5251cd-c1e1-4461-bc16-17fa09e9c00f · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-07T00:40:22.025593Z digest=sha256:38a6702daca8a34cddbdc723e00734547f08fb35be971eee62bd317bcb4898ca

Observation 2499a6b0-ac18-4471-ab79-133415da982d · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Temporal Difference Learning for Model Predictive Control

Reference 75

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source=pdf_text observed=2026-08-07T00:40:22.074261Z digest=sha256:304215cd43919b1f3a3105658c25be41b04947ac20de6d0d1f2181a5be36cb44

Observation bd5ef001-8abe-4b2a-9ab6-58a65bf3bb4a · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-07T00:40:22.191274Z digest=sha256:4c178f4567203565c59c120ba360041e00a3c64dfb67038ebbc106b468494f22

Observation d0b42821-790e-4063-9c0b-b96a429b82e5 · outbound

This paper cites Continual Instruction Tuning for Large Multimodal Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Continual Instruction Tuning for Large Multimodal Models

Reference 77

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source=pdf_text observed=2026-08-07T00:40:22.248079Z digest=sha256:bd9dc562799c6b16f94198d61dc652fc30f1d1b7eb699768d72730b18918b7dd

Observation 13276fd9-a719-4c39-9a87-80eef63e53fa · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-07T00:40:22.279601Z digest=sha256:fe7fbd212ae42cfd6627010db3f45433ab45a18cf731a7bed55eb949041fbf0f

Observation 7524521f-ab4c-446c-8cc3-ef01e6cc4a0a · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 79

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Observation 9f9da976-3e4d-41e0-a6a2-854ec19017af · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 80

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Observation 156ebcd2-40f0-4df7-ba1a-6b6ce5958c8e · outbound

This paper cites Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning

Reference 81

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Observation 8cc59c59-53e9-4dff-aeec-32c6719b89f6 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 82

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Observation 3d90a124-4980-4cc2-9a9e-39cda47cd312 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Distilling the Knowledge in a Neural Network

Reference 83

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Observation de86234c-e47f-4792-829f-7f099887553c · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-07T00:40:22.626583Z digest=sha256:a359377527ca535783bbe59b3870785c64a9260328402e606fc0e39fd0531241

Observation afdb7e76-f217-4e7c-b5ab-c81f6239cb70 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Training Compute-Optimal Large Language Models

Reference 85

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Observation 3158efd7-6655-4206-b8c9-3dc2aa0fe1f0 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 86

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Observation c3e684aa-20ca-4332-ae13-324b5a4dd030 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-07T00:40:22.862315Z digest=sha256:6ec37b6de7b1cbed61cbce001f6fbfa7c3981c89dacd41d7a0fb00314ff92834

Observation 2c3e1cee-cfd4-4017-b0f8-a7a1cc484f08 · outbound

This paper cites CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

Reference 88

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source=pdf_text observed=2026-08-07T00:40:22.918334Z digest=sha256:7e94314e87b06f4ac7c0a11798e321da3c6f635d41ed11c71ce192e365c947c9

Observation 62652338-5352-47fd-a5e0-2445b83d45f6 · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 89

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source=pdf_text observed=2026-08-07T00:40:22.986424Z digest=sha256:9b4d07775630c78764aaf5c07cef33a56bed970bc19a5653d15d30fcd8958f57

Observation d6bfc525-93bb-4e1f-8493-512a1572b10d · outbound

This paper cites Towards Practical Tool Usage for Continually Learning LLMs.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Towards Practical Tool Usage for Continually Learning LLMs

Reference 90

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source=pdf_text observed=2026-08-07T00:40:23.048772Z digest=sha256:d8d552abafbec13b51cade54a91384edfb8dcd4f4d922dfaeeba23795077eab0

Observation abfd72d6-2822-4766-bc55-b4e5c8237438 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-07T00:40:23.115652Z digest=sha256:0669a645d71199fe4ac55245cda3bc8b4388bf02e4a0868bf83466c6f909b7e7

Observation 30cfe9fa-d60d-46ed-8ef1-802904d1693a · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 92

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source=pdf_text observed=2026-08-07T00:40:23.174507Z digest=sha256:642c9fda39f3dcd823d1ad57727280ce183b90b9a86199e29a5c48e834650c25

Observation 926282d5-a1f7-4f77-8489-13eab0551947 · outbound

This paper cites Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 93

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source=pdf_text observed=2026-08-07T00:40:23.245168Z digest=sha256:e3e4088e1b6393d623cc00d994197b976a44d88d8e78e591295915f793c8bc36

Observation 4f5cc45e-8a91-4853-8278-83229e352999 · outbound

This paper cites Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Reference 94

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source=pdf_text observed=2026-08-07T00:40:23.310658Z digest=sha256:5616a203b6564e395c847c6fb4fb9f43892ed4e9bc3a8b41fb0cff451c3a3c96

Observation bc930cf2-44be-4801-af6d-e5c2ec6e4bf5 · outbound

This paper cites When Continue Learning Meets Multimodal Large Language Model: A Survey.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond When Continue Learning Meets Multimodal Large Language Model: A Survey

Reference 95

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source=pdf_text observed=2026-08-07T00:40:23.358940Z digest=sha256:c3debb0d1c7e099f71829af291f46ddbed0aa9b7d622fe05e72f18f50cab3d82

Observation df8482fb-8f45-4f36-bd79-d3b52ef94e80 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-07T00:40:23.446551Z digest=sha256:7578d1425b6fc2e0e862777820af6d050bc4e409104c4a56b638a7c73169057f

Observation ae5eee20-0eb3-4a8c-87d2-cbebd125ef19 · outbound

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Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-07T00:40:23.510944Z digest=sha256:039b5d74a21e82a8fbcf487cc77d02635a60936c1c9f03942e8df48e5ecc2685

Observation 94d19f2f-fd78-421c-8ed6-2e0fae5e4370 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-07T00:40:23.599936Z digest=sha256:2010486e9676dae5048aa5121d0aee9fe155cde7facb84a767049aacaefbac62

Observation f1694415-d5da-401d-8927-c0b7affb3f8e · outbound

This paper cites Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning

Reference 99

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source=pdf_text observed=2026-08-07T00:40:23.664865Z digest=sha256:d0d412ee5959dcb417436a926ab85436b0266171ccf7078521933d7e691f7590

Observation 4eb9bb66-0b05-425b-afd9-8acb2139ed37 · outbound

This paper cites an unresolved cited work.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-07T00:40:23.729973Z digest=sha256:8461e1bb052c985a19a5eb93fab746d194df8c8ea40969121af72cce25a6401d

Pith citing papers

Observation c475cba2-0e4b-4003-bb6b-22a47838e224 · inbound

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training cites this paper.

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

Reference 10

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source=arxiv_source observed=2026-08-06T19:31:27.300705Z digest=sha256:4f5e3c3da74347886b65666e51e71d66ed96e381442bfb901153e7eaa9426884

Observation 414babc3-5c7e-47fb-b12f-3ad4a3aee7eb · inbound

Agentic Software Engineering: Foundational Pillars and a Research Roadmap cites this paper.

Agentic Software Engineering: Foundational Pillars and a Research Roadmap Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

Reference 11

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source=pdf_text observed=2026-08-04T23:57:06.320358Z digest=sha256:469361f328d593803d899ba7725bbf6a2a995e5ab381f0dd2090387f96d6eca4

Observation 7098192c-f3da-4059-9c36-7960ef4cb363 · inbound

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World cites this paper.

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

Reference 14

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arxiv_id, observed 2026-05-18T04:35:52.475793Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 41150240-ffa3-44d3-925b-6e39fb74f005 · inbound

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning cites this paper.

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

Reference 11

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arxiv_id, observed 2026-05-12T07:21:25.190405Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:3f695862f64163fd54f72ef2d9eb7d33ca863c991a1c853004bf332a86455eb5

Observation 9fc26e2e-1d13-46bb-89bc-554d412208ff · inbound

Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation cites this paper.

Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation Continual Learning for Generative AI: From LLMs to MLLMs and Beyond

Reference 4

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arxiv_id, observed 2026-06-30T08:04:28.958535Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T07:36:50.034451Z digest=sha256:d21a9f8c19039e7ec69b8a7d418b9ca01ed72ab6a3741a0879eb6458e39c64c5