Paper Citation Record · LEDGER

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering

As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2505.19455.

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

pith.paper-citation-record.v1
2505.19455 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:45.684227Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:29:29.185783Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy41
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6ae922a-bab8-4215-b0b6-9dfe69934b24 · outbound

This paper cites VLC-BERT: Visual question answering with contextualized commonsense knowledge.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering VLC-BERT: Visual question answering with contextualized commonsense knowledge

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:58.338712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac9a5d60-9325-4594-9b14-5daab540db17 · outbound

This paper cites Align before fuse: Vision and language representation learning with momen- tum distillation.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Align before fuse: Vision and language representation learning with momen- tum distillation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:58.045224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6fe75be5-1eb4-48a5-84e7-29fca135b16d · outbound

This paper cites Vqacl: A novel visual question answering continual learning setting.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Vqacl: A novel visual question answering continual learning setting

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:57.760674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36d15d62-f440-4a59-bac7-880688c382d0 · outbound

This paper cites Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:39.958714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d597ad1-f91c-424b-8710-be8908819f64 · outbound

This paper cites Decouple before interact: Multi-modal prompt learning for continual visual question answering.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Decouple before interact: Multi-modal prompt learning for continual visual question answering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:57.445456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd25b4d6-6e6c-471a-b13d-58b5c22cbb64 · outbound

This paper cites RE- VIVE: Regional visual representation matters in knowledge-based visual question answering.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering RE- VIVE: Regional visual representation matters in knowledge-based visual question answering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:58.667094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c5b0a7f-e4cd-4b7c-999a-0345ea4cb14d · outbound

This paper cites Symbolic replay: Scene graph as prompt for continual learning on VQA task.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Symbolic replay: Scene graph as prompt for continual learning on VQA task

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:57.179424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9913f3ed-6ddc-4afe-82ca-58238da31f9c · outbound

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

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:18:46.155924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f726f8c-57e2-4b33-8db8-3ed788348b82 · outbound

This paper cites DualPrompt: Complementary prompting for rehearsal-free continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering DualPrompt: Complementary prompting for rehearsal-free continual learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:56.940890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43e4801c-2209-4de4-8d8f-b00eaea56e1f · outbound

This paper cites Learning to prompt for continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Learning to prompt for continual learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:56.599667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f9b46ce-0b9f-4b0c-89ae-6c2668842733 · outbound

This paper cites CODA-Prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering CODA-Prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:56.343115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22dffaf8-fe08-4f55-aee0-fb0b0bd2dddf · outbound

This paper cites Semantic residual prompts for continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Semantic residual prompts for continual learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:56.052264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e32edd3-7d65-4cff-867b-0aad9e513f3d · outbound

This paper cites Multi-domain multi- task rehearsal for lifelong learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Multi-domain multi- task rehearsal for lifelong learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:55.799111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab5d9594-1fa3-4350-9a12-5db1c8d4b6bc · outbound

This paper cites Exploring example influence in continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Exploring example influence in continual learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:55.291288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b251139-b4cc-4378-9ea7-1bfc4beb2aac · outbound

This paper cites Measuring asymmetric gradient discrepancy in parallel continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Measuring asymmetric gradient discrepancy in parallel continual learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:55.030671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5db16f86-a349-4ba3-83fa-eb82eecf4be6 · outbound

This paper cites MAPLE: Multi-modal prompt learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering MAPLE: Multi-modal prompt learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:54.732552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43ad371d-77c6-4d4f-a749-2b9d63cc585f · outbound

This paper cites Overcoming language priors in visual question answering with adversarial regularization.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Overcoming language priors in visual question answering with adversarial regularization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:54.412802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 237b70e3-dc83-488d-a892-9b2c00d311a7 · outbound

This paper cites Making the v in VQA matter: Elevating the role of image understanding in visual question answering.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Making the v in VQA matter: Elevating the role of image understanding in visual question answering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:54.060826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70209ef8-75c9-493f-a996-d6ae11ef9323 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Lawrence Zitnick, and Devi Parikh

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:53.736161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c80d7d0b-7d58-4398-8070-651ddba2b3c0 · outbound

This paper cites A lifelong learning perspective for mobile robot control.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering A lifelong learning perspective for mobile robot control

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:53.444496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c70ba20-7bea-45a9-8d9e-2e75add3a03d · outbound

This paper cites Pre- venting zero-shot transfer degradation in continual learning of vision-language models.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Pre- venting zero-shot transfer degradation in continual learning of vision-language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:53.172915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 21d07dd1-800e-4786-85b1-bb83db898b79 · outbound

This paper cites Bakker, Nicu Sebe, and Michael S.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Bakker, Nicu Sebe, and Michael S

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:52.778162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cfdf7fe-11d6-4319-99c8-b6162bfe8e5a · outbound

This paper cites Boosting continual learning of vision-language models via mixture-of-experts adapters.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Boosting continual learning of vision-language models via mixture-of-experts adapters

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:52.553431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e396b1e-cf57-454d-9641-ba791695c299 · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:52.265906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 631255ab-0ad6-4160-b3c4-f0f9169afc88 · outbound

This paper cites Ex- perience replay for continual learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Ex- perience replay for continual learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:51.993430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f3b90d0-62f3-4fae-8bd0-f18f9d6b6bbc · outbound

This paper cites Dark experience for general continual learning: A strong, simple baseline.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Dark experience for general continual learning: A strong, simple baseline

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:51.689768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 803b3c9d-a998-4371-8ec5-bca40dc484e1 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3366–3385, 2021.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering A continual learning survey: Defying forgetting in classification tasks.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 3366–3385, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:51.397181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c174679f-b047-4d86-921b-77da94b15948 · outbound

This paper cites Yu, and Irwin King.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Yu, and Irwin King

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:43.480038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743388c0-d14e-45d7-ae35-51a1893b90d8 · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Balanced multimodal learning via on-the-fly gradient modulation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:51.120558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdb1a1a3-d0bf-42d0-a702-8bc1cae5276f · outbound

This paper cites Pre-trained models: Past, present and future.AI Open, pages 225–250, 2021.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Pre-trained models: Past, present and future.AI Open, pages 225–250, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:50.865018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86c661f7-5eef-4423-b75d-78c4f288c359 · outbound

This paper cites an unresolved cited work.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:18:50.550263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3966b13-3e4a-4d4c-850c-bd9290508bb3 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:43.801881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955dbc63-ca53-4d0c-aa9a-67732d5d63cb · outbound

This paper cites DyTox: Trans- formers for continual learning with dynamic token expansion.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering DyTox: Trans- formers for continual learning with dynamic token expansion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:50.197997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4bff90a1-d510-4dca-94ec-7801bc613390 · outbound

This paper cites Learning transferable visual models from natural language supervision.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Learning transferable visual models from natural language supervision

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.892421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62044c85-dfe2-4f54-b81a-d161c3060f30 · outbound

This paper cites Understanding driving risks via prompt learning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Understanding driving risks via prompt learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.565975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8bd7b5b4-bdea-432a-861b-01db032a8db2 · outbound

This paper cites Attention bottlenecks for multimodal fusion.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Attention bottlenecks for multimodal fusion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.297569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70997690-a4ce-45f6-9772-630cf5f68273 · outbound

This paper cites Difnet: Boosting visual information flow for image captioning.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Difnet: Boosting visual information flow for image captioning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.980507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d494e25d-0efa-4917-8cee-caa28cd4a5f1 · outbound

This paper cites Aligning visual regions and textual concepts for semantic-grounded image representations.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Aligning visual regions and textual concepts for semantic-grounded image representations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.663665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7bf90daf-328b-4d20-9e9a-b12e51906647 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Masked autoencoders are scalable vision learners

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.441359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb88f53b-56bb-45d3-a44b-db000d993c3a · outbound

This paper cites A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:44.745026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccaa9d9f-cdee-4e79-bc59-91990f4f9e7f · outbound

This paper cites Can we gain more from orthogonality regularizations in training deep networks? InAdvances in Neural Information Processing Systems (NeurIPS), 2018.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Can we gain more from orthogonality regularizations in training deep networks? InAdvances in Neural Information Processing Systems (NeurIPS), 2018

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.119044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 96122ca3-70b4-4fb7-9c68-0b641f3927a0 · outbound

This paper cites NExT-QA: Next phase of question answering to explaining temporal actions.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering NExT-QA: Next phase of question answering to explaining temporal actions

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.810672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72d88bc0-f0aa-417a-91b8-037b2f7322c4 · outbound

This paper cites A simple weight decay can improve generalization.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering A simple weight decay can improve generalization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.551554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e79ac51-df0b-40c6-91ca-cc1e558b8d17 · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Bottom-up and top-down attention for image captioning and visual question answering

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.282811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0aa209b1-8d7c-4312-9310-a85912551606 · outbound

This paper cites Visualizing data using t-SNE.Journal of Machine Learning Research, pages 2579–2605, 2008.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Visualizing data using t-SNE.Journal of Machine Learning Research, pages 2579–2605, 2008

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:46.956737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3eb9922d-d7b6-4c2f-9173-1f5e80ce4b86 · outbound

This paper cites Scaling instruction-finetuned language models.Journal of Machine Learning Research, 2024.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Scaling instruction-finetuned language models.Journal of Machine Learning Research, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:46.672087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0ed1da2-ed8a-4d9b-a2b2-41744b569d0b · outbound

This paper cites Plus”, “Mean Pooling.

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering Plus”, “Mean Pooling

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:46.411761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 2d7753f2-fd46-4f6c-a6d5-04b682a174bb · inbound

Group Preference Collapse in Personalized Multimodal Large Language Models cites this paper.

Group Preference Collapse in Personalized Multimodal Large Language Models MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:29.185783Z

Source-reported events for the cited work

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