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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:63c24417524acdffeabfc5eea3ad396419dcfd90e1c72cd9abc670305fca6052

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=sha256:952a7272530a9d6042f660533d7de1d10dbed4eff11210531ed28649d82de8e7

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=sha256:88e60540b58a99f4957c23b558ca01eee3e0e197a2ee028edc5223993820bcae

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=sha256:5529758551ae1044184b73210f861b8a1c5f15b87136739ef9c10721dc512df2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:15.027230Z digest=sha256:d71cbb635bba7a0eb20214769e127e586ecef1a47213794d7664a9a570a2e07e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:15.134539Z digest=sha256:1202dc9d204028c614d88038224356a61f7ea83eb1907bdb6123228c0a27be73

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=sha256:06f14ef130a1c11509d98ad3964a11cdc60cbbe90ffa149d108e03be4a9b23cf

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:15.302171Z digest=sha256:a7cfe22b0135a8c39a76c986a7170862ea4654034f20ceee31ae130e710f17f3

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:d7406d63c95c35c01a185d4d3944feff8568daaa6b55dc1c45722e4bf5042edf

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=sha256:56071be5ba3930ad4119c92d2305797d31c71040cdbd03685aa81a87251a9291

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=sha256:03753e8cbfbcc42a494d3d09cc6d52c1576278178efe8b779c44dcefeeb3a5a1

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:b362d2897709fd5162e0633f5ea3e6833f1f12987f3602fc54b3a1eef5e08847

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=sha256:24873a69058013d09ac8d44bb060c7aae67a63d5ca8d5ce61b49c8c378e5de83

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=sha256:84aa07386cac6b27e81b607b1ce01815d1abf2d1a57953cf482298db9564a28b

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:aa7170bdbf8826539c22be4407e449d32992bb272d1c59fe0499e08695a89a58

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=sha256:6f1a80d2bac01f1f0814291b016c8a5132ec237a50158f8fe99bc4412e8e7419

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=sha256:3068b33df1fc10be60b51cc4035778e940ff435cc05b9d65728706ce8be4b83a

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:a4783704327996dfa9bdc3ab8eb81016dada5434c8901d9057dcb6a16d728d92

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:40:16.492956Z digest=sha256:5f81188820bfd1daf271d883d22d676c48152e08b75e00dffb9d70ff17d51d35

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=sha256:1694533f5656856bbb861f77c330597fab5252ef56bcc5de7a70705c85138fa6

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=sha256:2210582450da0321871aede0b98f6b17a00e40ff6deeb5d5cd3d310763bb76f5

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:cf56af513e7832c54e011055e879e55d449c7f913fee218512c4775b684b7539

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=sha256:329592ac13b7fc0827e6e659467df30e3cac34ac4666a4658cc258350a17f07b

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=sha256:46319e6ec0cbcb17e7977fcf9e95487a58122540589a8e80646e7072de9d2b6d

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=sha256:6cd458dbd2978c2e393d6db4afd18cee1743d22769c88e1214b744ec507e2990

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=sha256:6b80c4431c8ffb2a493b517ee8066a0e28220202e51408b1556ad654e28dc6fe

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:bdf6209d11a0bff707458a9ac20e0399cd56ae83dba0f9d2d6b50fba84e36573

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=sha256:16e9f64ffcb5e8b24a0ab980c09636c0133e9426c2805cbc2cd3c7bb80dc0820

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=sha256:72b3b9d3b4f0d8e184dd04d11fcb623cdc9a560dd463de610ae4f3850c4d9375

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:f360880ab4717227ff57c4f387b0ecab7f21aefdf8bb6dced4d8f4d273a79325

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=sha256:6d8479634970fca84e95057dcc8f3eb5c9e25e13583eba977f5373092815299c

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:a54e1ae22017ae9c70da15d9957cd54452d0b778ade9e92e1bc2431f19efd0fe

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=sha256:20441c377e6666f314ce1217f2625eeb12a8fbc888b02e82599bbc100dc672a3

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:ebbb59b01658f9f7ebe28c883745b79d6467085079d78afec94f0f5cbca7d97e

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=sha256:6e0afb507e86ce4671787f65bd379dd1a3563f0a2f776d6f6b0c2859dcb9a119

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=sha256:3f7a79af11d7e729aacade11001d1231abfec44129334f0b11a2f7d3b3b10adb

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:cf8b9f9f3f00aeae832cb45fea53cc04c33e93b71e9a7d7bdae98591ff300f11

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=sha256:2621fbf992a6f8fb57f6a9c9b09a9871630e395d742a6a0bad4c1199f68ae7ab

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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source=pdf_text observed=2026-08-07T00:40:18.635832Z digest=sha256:f5e41a5a17fe193ec5f717e7c5b0a54fa9ec9742c921954e3e5d468e7eef1efa

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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source=pdf_text observed=2026-08-07T00:40:19.051987Z digest=sha256:38aa0d0f6097836366548eafa3e1d663eb9e927d81a22d7d5a334394dea37962

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=sha256:74f694afe5d33cf6c5d1720bd6e7d822dc27197013ab79bf7f204f8099c74a1f

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=sha256:9254f3c759cf26be5f443d17bebc8e883a71f2356cd064b7fc60db7589e6279b

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=sha256:7eb89d112467211e07e520a64a85748272a649e7a2a8d2bd89bbabea55ad7b0a

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=sha256:6dd78ac619d235cb8e7b8570473c4a485c9014bd8f46de01630c7bc5cfbfb729

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:e21e4a944f7646a8cd9f2515283118c9e245b5eae9b22b9ce60efe764a27d780

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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source=pdf_text observed=2026-08-07T00:40:19.922565Z digest=sha256:5fcd14d8fd6f9c0d20f52f20d220c4669aa8c2a36c9dd3d2c55e5154617a20b0

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=sha256:846157678fa3d4076f46cf8e0d7d0666df071e9f6875e3ca33fec5a1e00ae0cd

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=sha256:24b00f6a5de779c90cce91596e90a31958fa5f39ebd0299714f7edb753ebda85

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:d5e93881c1c1330b24b2afb3dd46749ba1f3b54a4fa497fc909af245dd5112b3

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=sha256:23e98fa8f63bc9879ffcf1bc3ea68b5532849de05b716d66cd571dbabdc8de57

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:e328e8c67a36b2aa1cdce9ba7b376986eb0bb3bb629009f30e02ea4717a65cf3

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=sha256:461148d43b06a3013e26850aaff6e495b9b9d3cfb4adc65eb50cd7435c4f5e07

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=sha256:0c455bf5d3e9472cd548c734c3984444052e6589f0c9ab47f0d105d49b70fcae

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:abf8ac78fda03dffc94b265ee1e5b6e9820c2dd25ab2fc8ad6b5de1b79a1bc39

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=sha256:42a93ae24251fd824f4040c83cf91a5d3fe3c36ab627cde99a1145c0744ef57c

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=sha256:44885832930ba6679701434e7063f48d171609d484d59d37891a50a25e345dc6

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=sha256:28037d365d582ad673eee24bc259af5fa6ec84d258d2b12f85b244ac18724838

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=sha256:043aa6246e3f7d3d747412cf103f8f0407668d009e41279201289e408f0ab5d0

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:a24c345063e8ffd1feee24beac0bb76b149419daa31200dc2646db643b6c30c9

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=sha256:7c4bc34c2cc46f89c615a9dcdf7e91b2fb154784bc77c46893ae69f16e25c5a5

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=sha256:938b605071511447572d220687de582ba708678541ed61d32522e1310e3a0675

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=sha256:64344bdb6955cf25fb4dddd52296f832e02dec430b2cd7744e8d15ce0876f073

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=sha256:19bd2790f722d65e5d68859ef05af473a21f2ae105a674422b9b4c713c133e47

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=sha256:2827c8cb4a693462f1f607d804e0c4ea66cbe3007aaae555a0c7d28c45d5eff2

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:d65400549ec1b3a8de9d4abc3191995b02e97d8d0965bce4e345a1505162d27f

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=sha256:96368a3313a721b466591e414ca3a7d730df20390b3415298689b10ef19fa233

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=sha256:339f21bc686af243a1a555f7f1c53353e8d17cf2670543ddeeee69bd0e1c3bb1

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=sha256:7f094c1cb53f33b4b3288f334e0fc2428091643046a5e185d32bc5d025b97310

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=sha256:877d62a04af71f05d56a87fbc2f3bc07228f77cfdf1ae73d43195c31ce554b87

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=sha256:168734ab1e47281c0ba0aafd7c59434809b7dd26d53ec862f07ae77578c7d5a4

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=sha256:2c3ab5493529fd8e39b81fbba025c0e837d313f38ee02369321a162d3ab84f48

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:a1d3529a62ed89abb1862c86285346faca31c8123010e473e72ec503ddcec5d2

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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source=pdf_text observed=2026-08-07T00:40:22.369537Z digest=sha256:a9d3bf2488cc30a1f6ce1937cd6e1f7e9feebb4754f6efb4a6fce26170690893

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:e8e02adadcec5bb21f22dd69e26001958b32679a4923c9dfa1e9f4bbe44e2830

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:f8a300c4abc6606dce7663ea1c1f1270d294c0279bd1042b2a0a1e7fef8fb8dd

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=sha256:131a8df5ad6f727b198b26f77006df88973a306ed0fdb7e28f08f2515cf7895a

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:a7709bf8aae3c3a1465fa32b70a68fdaf229b92b46e0ac317f4628be203fa421

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=sha256:1beccc9af30427882239f6e2922c39ba864e9cf81144c186c073ade17017c6c8

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:cd239bddc9ff4b1462693d705d455d9bae4ff0e9afec31ed7873d47e3aa5dbd2

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=sha256:60d04ca30127c878a5ed74541f1fe2a4fd061ca6b87655d647b9cc9498732c01

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:fdc586eec57980b0384fb3efb7091180a5d4f94dc9cd3054a0573081599eff87

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=sha256:30ea51f77802a0454df337773ef84f5174d2a68f7184aff741e7d9be1f092686

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=sha256:7865c892c39fb89c1e1196aa7a1cb6b05cf6971981294f587a9829445e80dcb2

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=sha256:1cc69b61fadfbf00d1bdff1933c16015c7bab00ea42a2e92050f9dfeac3d4ee2

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=sha256:3db94a4e36d927c696c61d721a8856e3329466e95aa297b8c3c8362cc563fde4

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=sha256:4b801a76c628700d5c719c32876d44a66c1bba13810143eee00329650d78d3d6

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:c3b058eece041bba721c18c80adbbc43d67b76bf8d188f0a9c156118f637f519

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:f6ab69f8a30f0008e30029d7ee6402628666e2ae59a309a1695cfc8e30f385ec

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:b2839bb52185b578c1396a4d514d9b4b1860093009255f890d904fb9fa6becbb

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=sha256:07f92528a18b061ea63354631fd4b02714d321cced97498828223bb9335263ab

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=sha256:353e482d13b55b2dd1cde0132dedba59f922f51285abd0b92b7e107fd91acdab

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=sha256:9f930e987beac9a657ea0262b4dc2a28e84f605d03453c107fc7eb3a14126f85

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:cd2020b0c162a6d1fca64cd080272fd862f0c5d0e590c0b6bd3fd86de282cfaa

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=sha256:0d793b94b4ad76a8cedf53a77a90d81aec8523880d8321bc282b0083c76cc08d

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=sha256:49adc1e76b3a9e00d25f468acde25491a9f4a86c352a4219826adab1d2442e8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:33:13.564547Z digest=sha256:c4eb2ec7a79c9f40a382cde8b5224c07bbf60d0ebd45d8d669816807849f7a13

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:4c52b14f34193096e08a1fb5d63935984982c6405fc867c982bab4a15e888fea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T07:36:50.034451Z digest=sha256:2210f34e2b525aeda88317868289d567f94b6253f40884c0a8955466bdaf73e5