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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:14.644296Z digest=sha256:93ff9f22cba1919208460b8a8e03a8081cc36cecdf4cc7232b6f1345e23419b9

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=sha256:65789701e59d2f323a4c6a8eea4348412a26842440a029554feb47a4732af90d

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:b9bd0ee1abeddb5ee4eae76d5c7d17dc7b7d5923705119fcffdca198840cff53

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=sha256:3e2319ec50dc99187edd7d421be789518370106b6987869b6f39c261a89ef6bd

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:b3a6350a76223f6654c2c81075b583443ca8bf0c0419c9b3772c97f52df9d497

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:40:15.134539Z digest=sha256:6551b2819461555520d567aa7a23f938b98a39b318e05b8241b3f5520855a3bf

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:15.222276Z digest=sha256:2434bdbe10c8fa22528975261de043e7420fbe7e2c1a0201f2b104e87b362d26

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:f9e7c7bb98a2406a9fb143b85de630071c23d743242db4788092f14a9588f3d0

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=sha256:4438d1efc23210de7737d25d524c00bd4c9b532b448389b1ddce165e48b4bc6d

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:e8e9e513d12a7f01c7127dd0baadb9c0bfc9e644b0ffe117ac361d5571a5215d

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=sha256:0264102466c351f4e674fdefe800d6da5a26d06c72c8710543dacbb5250b7cc2

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=sha256:7a9d7a9fcc74c2f401c4db0158be4bae6ee769083fcb197f8b02fcb29ed165dd

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=sha256:613442fae0ac8472d2e91b6c13fcd63d645a7931437c39070e74704a7e67fac1

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=sha256:488a0cc290d666ca769d35e1256f9698f7a76ff98dd75b90192a192d7ee34c9c

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:e365af9196887207e1d7d6584cb77b64f4551b2351f469225f9c9dd7dafce107

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=sha256:3462c694ca20a1c29a3f111c39aa26b6b3ba6415c021990fa82b11307b007b9e

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=sha256:110d7bffb2498bf083c88967a3343d536b0786f21c3a78b660f3d43daee5636f

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:b243b39433ab4b2232413f3c8648d0a9e8f1b182d3395fa20cac781fdf837d5e

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=sha256:89ba8b228afdf234807be60c9abb1e1068a26ba12e34aab51eadc053aaffce67

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:e9f1d319921dc19555ecdc5570bd71cdbb5c9db521bca6eef64435c83942f92a

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=sha256:2e8425cdd6448b875bb666d6c8d7ed07944e72113bbce703211eca42245dd223

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=sha256:491db5a051bc07dd701aeb31d69700e865f487e2d8d7249bd7b6a36f2f4072a6

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:f6d87a543d2a33fdd074d737dd084a3071d3059d9c933f0ee1f85494e34e4004

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=sha256:9678ffa9da30c14af4fd3efa5697946987cb5ecd57b1698183700f33039521ca

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=sha256:3fd0865e38af185f328ad87c6af9371a8d42ae29b003e21337fbb560a9098731

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:cb98dbb146615a3c747e6138b01f6f857a1b997d5026caa547890d48deeae90e

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:d7c0a981afc7d0e438126914e1c4629de770faeb4a2610d356a78c3c9fe8f010

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:daa9d461fc7f9d924df64c916b3adb584fe0dfb7e645585acaf059ee20fa8f9c

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=sha256:70e8e7d3b7c7aeb92bb6a23ee15175f8af32704a909177117594122e74191307

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:ba915adce079b16708f3ad7d33bab5cf2411fca2e532078b82340f5793312ca1

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=sha256:016a1435b746c07cb7e11d3ddafe60fe7457a70ead48565a557423adbf4c52c1

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:c5f3e520a61e4d8670cfa5d03112b0112d15907d5b4277fe1e240ada3442cc73

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=sha256:53eb8a0fa92cc11e7b998eaf55a7430658583eee2c2a3b2ce3d3bad9b9003ed4

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=sha256:63c1190f0fda3b52c2f6a5447fb5c85285c5dc2fb522754dee1a9596681c0cb7

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=sha256:518f3fdf1b5f28d42a2ea819d93d372dcdaaa629ad203b54ee6953e38561c610

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:e76077ae1aa10ef186a8cffc5f203f29a29e3fb38ca0c68d244e948637eee292

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=sha256:93e09390380f190d7a09da0178c98d0f54ee28ef5df9411bd73a1962ff2fb849

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=sha256:64662dc50397c30f44195a88dc57b77f940c6b4d8b9fca3e065dd9b970223bef

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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source=pdf_text observed=2026-08-07T00:40:18.910721Z digest=sha256:0d68c83face6607a12bf48bf8852356b474f994b5c95c5a30eb1f9a2a3ae685d

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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source=pdf_text observed=2026-08-07T00:40:19.127630Z digest=sha256:d5f5270fcf0c5193bd6317df0da15f7084216f4af8b3a3c1846750be1e87235b

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=sha256:426324732832e66d3cf94e0740230ecade3015abb24db1b6b7cfaa66f5b43195

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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source=pdf_text observed=2026-08-07T00:40:19.363857Z digest=sha256:082214218a14d1f7a527719bc87e5151a801869afe32ac55a10e9a997e2ad401

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=sha256:0bda4c1d12b74dc5063fd36e6f9f2b4a97026ac6456be6057c11d2866da44aab

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=sha256:9af42cc5ae0b775eabc3e56d3a9e6295717db53e5caee8fc25847f91ae9eb2a2

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=sha256:93fe9b009c353515a57ffb8c125e40829ef8caaed35f6d564ddb6cc9e10e137b

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=sha256:7db7e676a230712462ca92393385fb14761a339d3e2b6ca5f0e1ba244e2287ed

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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source=pdf_text observed=2026-08-07T00:40:20.196782Z digest=sha256:c5b48608005970e815064fcf39eebd5aaedf49d24ae1e9fcc0df2f142edd811e

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=sha256:9c811afce9b9e12950a766125a10d63a38e464af7cd018f53560eedb4f7ad7d5

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:d0607868bdbb59397e2643822acae91a5fcd77b4f0a8c863c7fae1469d4e8b7c

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:a679c61b654759a161d9aaf4487845a62d90caf1fe48250db02b89b29df39123

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=sha256:6b5d52f2fd17cbc6dd65e6e88a8f83ec0e8a7daa10e6add7a831ffdc24639cd0

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=sha256:91822b539c37ead5d295e4d7502c5ab95b26e967085d86d079d1799194f0d68e

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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source=pdf_text observed=2026-08-07T00:40:20.782285Z digest=sha256:0a620ea64d088ad1e8d66a32c46935d0213a81afc0e48bf7b64e6e6a630d690c

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=sha256:74a02dcb43d2a31decbfcc410fde7110be885aadbfb73b34795dbed9ee04d9fb

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:bb22c642babe2ab3789373141734f7f0ef3faea6675416f21ef24bb929fc67fd

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=sha256:974ad7dbfaa81d38bbaecb31bf7f97eb22646b4292ee3e30aa7934912e1ccbf3

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:fd0e95d545fed0706badb362df4822783f14023cda4a44fca8a78b77f8eb3c5e

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=sha256:14c5ba6aa1da70642728c613295b6e67c1ff5f8e14a78ef1cd1758062ca978fc

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:edd5d9290a57a0de9faa7e29b5a27cab16932ae7485139c1d69961d137223512

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=sha256:1c43f451a15e926b487ff18c7daefcc11229ca1af80f4414d209ea16b1260bf0

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:cac559024b9a7aa0aa1afe1d7fc4879c53d849b0893c2d897cc70eb8e53d0a11

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=sha256:9938afebac721a8f23b9b3f64972323ff64eaa83d86c0df326206691998c5e59

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=sha256:8f8b561edb342205b1bef9b7d8561a302f2c24c1625769ad1ac5a240982e2172

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=sha256:02a1496f9027ed68dc26ce9e560d9a31aa0350a2f13b82e6f8bd07d04aacd5e5

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=sha256:33063bae71c4fd812b4f4902633716b48d664fe9ddc182b443a0856dbfa1b452

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=sha256:7844afd3be6083d49317c873da7af733204f698624c3b874469b93cc7fe00a76

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:a9d13592d7375e1dd81268c4239694bfad6de239b04970c6483d4051bd1be2c3

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=sha256:9aa1299b2ae1e25ab69c98939d63609f30457b3030d5552a15114e303689f4f1

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:f8546763f558550693e14537d2ceeee47b5089fbf7250bb8ea705b8f51306b11

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=sha256:636fb404c94b67a78f3c1f213924847014c7315e7788bc8565807bc3d4665ee5

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=sha256:13293ec35731cea81cfad36bcf4b6895f8d6ca4f6f7f6734e4cd276b930d7b93

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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source=pdf_text observed=2026-08-07T00:40:22.334145Z digest=sha256:2a22e41f7a3bf9ffbabd4fabe94a6cd386330f33c358d78a67f09f7f5fd0e764

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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source=pdf_text observed=2026-08-07T00:40:22.369537Z digest=sha256:10b05d9dffdf2ed427eefec5163c32a6685b26cb8a6b7acbba334781ea253f13

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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source=pdf_text observed=2026-08-07T00:40:22.399148Z digest=sha256:1756cbceb2223d493381c95f02d084c34b0b312cd88b51db0bdc4815791bf6a3

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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source=pdf_text observed=2026-08-07T00:40:22.456804Z digest=sha256:ccd27c770d17f55bb89fb111833a4ccad59eec036a83b0ef62f9b83b4d2af777

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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source=pdf_text observed=2026-08-07T00:40:22.562199Z digest=sha256:f5c0a48185c3d059b7b9f706e55c91bde2fa6471b528c1e89e90aae0300f0c44

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=sha256:661b399f86de16880c43d55f60d75454d3b11023ad81d700c493107085dc1f78

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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source=pdf_text observed=2026-08-07T00:40:22.716523Z digest=sha256:de2616ad58717b6937367c61706e02766e792df0436ac40b37278b5712ba122e

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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source=pdf_text observed=2026-08-07T00:40:22.782496Z digest=sha256:314a8280c0a8062e4120a16b2d895690ea9170e4ce3bc14d8fc3c8eb20877bb3

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:ab0465519d5f2b0dd0e4b23151915034d395ec91307046a0a1473891367bc20f

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:e937e16355e60239784a5ad58e30651fbf68180b00c7779e267d2c7f6a2bd235

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=sha256:0458be3037fc8b6861e983363bf6addb73c1a762bb704cc23792e2da2e5a5c6c

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:f6f726e7595d145a2cea8fccf42600ef28d44f38b235f16a861161aae365d435

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=sha256:2fcdc67d21408faea256e25f5699fd272567c7b96e31bf02285413bb6b5bf991

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:f003c891188270a70f9747a9f076a8a28f2d112d8b881e896cfc1fad838536e5

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:c0d596b7846caf18c52579bed0ce474d35c3ca85351868b90cd5a74bc1d6f78f

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:ae8054ab61585022da65cad863e32cd14bb11dd81741d8346471ab27985e6f14

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=sha256:99d22469d8b8dab168aea653bfa267d1e0ea46f88bde19c0bf9a80940c10ae67

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:af5a051f4673bd45ba2e12fdc59f281de5356273dcc2686fa1bb77709dab214d

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

This paper cites an unresolved cited work.

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:cdc78b50e999a9825d00c90e47c9e526be095d358152c6bc947b68ab87f74214

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=sha256:321fd997486b9a5fad943e6cb5b653edda49892d05d2008186d353adcfe2d5e1

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=sha256:07b46c0cd685012f44330e1f394bb1afd5bf7ee05f3f71d37970d3a1ab80c1a9

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=sha256:9503b3a32798ee96654c3c0102899568e2c9e8546955ac3b9376f5927a32c49e

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=sha256:087b2be03231d68dd066dfed8917860183b0dc8f44873460e06c59d4666ebc51

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=sha256:18a5c0184f44172f80b66b6ff9f01fb719cfbe68a01b19e71fe44b4d55914be9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T04:33:13.564547Z digest=sha256:5a1d6a93bee4a6917f4e08ccad58b4e5e19cdf0bcda7af27a8bb562d2503d47b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:a73ada569b8d2e1ce5084f27264774560e1f28db79bd42220347eaf4fe0dfec2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T07:36:50.034451Z digest=sha256:a4580e050db4e35bcc3456a93ef93073caa4e9c3ea1b6a723d28efd24f8cd292