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Paper Citation Record · LEDGER

Synergistic Prompting for Robust Visual Recognition with Missing Modalities

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.07802.

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

pith.paper-citation-record.v1
2507.07802 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:13.701589Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy39
  • unresolved11
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29824960-47d2-4a26-84d6-a3dfc402161f · outbound

This paper cites Multimodal federated learning in aiot systems: Existing solutions, applications, and challenges.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Multimodal federated learning in aiot systems: Existing solutions, applications, and challenges

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d0f7061e-57b4-4b8c-8f3d-fde0e1e47dfd · outbound

This paper cites Gated Multimodal Units for Information Fusion.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Gated Multimodal Units for Information Fusion

Reference 2

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Source-reported events for the cited work

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Observation f8e94412-97da-4f4f-a7ad-e6f1b7b25c83 · outbound

This paper cites Vivit: A video vision transformer.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Vivit: A video vision transformer

Reference 3

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Source-reported events for the cited work

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Observation 29d58b42-ffaf-41cb-aaad-14227c8a6e8a · outbound

This paper cites Layer Normalization.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Layer Normalization

Reference 4

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Observation f990f6de-3dff-4c5c-a8d8-fd6725a46b46 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Sharegpt4v: Improving large multi-modal models with better captions

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9c4cbc9e-61c8-4f40-a36e-ec1bb4712fc2 · outbound

This paper cites A fine-grained self- adapting prompt learning approach for few-shot learning with pre-trained language models.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities A fine-grained self- adapting prompt learning approach for few-shot learning with pre-trained language models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 37d500be-722d-4d45-890c-c0911e873262 · outbound

This paper cites Retrieval-augmented hypergraph for multimodal social media popularity prediction.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Retrieval-augmented hypergraph for multimodal social media popularity prediction

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c3fb0cec-546d-4502-b074-42d45886a880 · outbound

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

Synergistic Prompting for Robust Visual Recognition with Missing Modalities An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81606e5c-6139-406d-91e6-3a7624fc2176 · outbound

This paper cites Mfhod: Multi-modal image fusion method based on the higher-order degradation model.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Mfhod: Multi-modal image fusion method based on the higher-order degradation model

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 85665874-10bf-4f86-8a81-52068c30dfcc · outbound

This paper cites Uncertainty-aware align- ment network for cross-domain video-text retrieval.Advances in Neural Information Processing Systems, 36:38284–38296,.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Uncertainty-aware align- ment network for cross-domain video-text retrieval.Advances in Neural Information Processing Systems, 36:38284–38296,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 71de438a-9358-470b-accb-70dba9c16c04 · outbound

This paper cites Dual alignment unsupervised domain adaptation for video- text retrieval.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Dual alignment unsupervised domain adaptation for video- text retrieval

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5e755984-60dd-47d1-9089-ef25ceb7f0f5 · outbound

This paper cites Mixgen: A new multi- modal data augmentation.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Mixgen: A new multi- modal data augmentation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 77bf2cbe-f265-4dce-bbfb-aaee999d2c40 · outbound

This paper cites Mapfusion: A novel bev feature fusion network for multi-modal map construction.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Mapfusion: A novel bev feature fusion network for multi-modal map construction

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 37d9903f-bbff-438f-836e-c7e6d377ff26 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Gaussian Error Linear Units (GELUs)

Reference 14

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Source-reported events for the cited work

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Observation ea79b0ad-483f-46ef-bbb1-0673f0ea3b0c · outbound

This paper cites Robobrain: A unified brain model for robotic manipulation from abstract to concrete.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Robobrain: A unified brain model for robotic manipulation from abstract to concrete

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f50bd447-bf4e-4e96-af8a-42645db08538 · outbound

This paper cites Cross-modal implicit relation rea- soning and aligning for text-to-image person retrieval.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Cross-modal implicit relation rea- soning and aligning for text-to-image person retrieval

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eecdd19d-d9e8-48c8-af83-57aeb708c98d · outbound

This paper cites En- hancing industrial prognostic accuracy in noisy and missing data context: Assessing multimodal learning performance.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities En- hancing industrial prognostic accuracy in noisy and missing data context: Assessing multimodal learning performance

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 45a10e59-fc49-47c3-b718-23a829dbab3a · outbound

This paper cites Exploring contactless tech- niques in multimodal emotion recognition: insights into di- verse applications, challenges, solutions, and prospects.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Exploring contactless tech- niques in multimodal emotion recognition: insights into di- verse applications, challenges, solutions, and prospects

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4ba418a1-379e-40c0-9e56-58e284417763 · outbound

This paper cites Maple: Multi- modal prompt learning.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Maple: Multi- modal prompt learning

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 562eb04f-e921-4680-8c02-e8238374632f · outbound

This paper cites The hateful memes challenge: Detecting hate speech in multimodal memes.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities The hateful memes challenge: Detecting hate speech in multimodal memes

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b95bb752-84b3-4e0d-9f23-312d59c22121 · outbound

This paper cites Missing modality predic- tion for unpaired multimodal learning via joint embedding of unimodal models.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Missing modality predic- tion for unpaired multimodal learning via joint embedding of unimodal models

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fb281050-dacd-412d-9d16-631421fc465e · outbound

This paper cites Do you remember? dense video caption- ing with cross-modal memory retrieval.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Do you remember? dense video caption- ing with cross-modal memory retrieval

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.593348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.539597Z digest=sha256:743578855d20ac6c4ac833255b8b66dd5852b854cd7c93086e12f8b50049b055

Observation dd0e78d9-ab23-42cd-902a-4f3c0eb0a959 · outbound

This paper cites Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning

Reference 23

Resolution
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no resolver link, observed 2026-08-06T18:37:13.545125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.545125Z digest=sha256:fdd420f48a87160eb4cc0a6f2146f4a903646050aacb4889b8dc62771f3b0720

Observation 0e24097f-3669-49d9-b958-25fe42510cdf · outbound

This paper cites Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality

Reference 24

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no resolver link, observed 2026-08-06T18:37:13.551429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.551429Z digest=sha256:0586d5c749ef02feb37b019ca98442f548f1422dfb9573b1ea04037463b776c5

Observation 15120a6f-1ae5-4105-9529-c727bd4d6781 · outbound

This paper cites Multimodal prompting with missing modalities for vi- sual recognition.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Multimodal prompting with missing modalities for vi- sual recognition

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5402fef5-b762-4f35-a000-3522a75de606 · outbound

This paper cites What foundation models can bring for robot learning in manipulation: A survey.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities What foundation models can bring for robot learning in manipulation: A survey

Reference 26

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unresolved
no resolver link, observed 2026-08-06T18:37:13.562777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.562777Z digest=sha256:f1637c7e0b35a882a2ce6f22dabe02c8ad582b281ce9dd2a568dc34d7e8bc024

Observation 75420f2c-28c6-4702-bbdf-9175d31d18ee · outbound

This paper cites How to configure good in-context sequence for visual question answering.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities How to configure good in-context sequence for visual question answering

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.559231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f72ca698-15d8-480e-9f05-dbb355128fd6 · outbound

This paper cites Tackling real-world complex- ity: Hierarchical modeling and dynamic prompting for multi- modal long document classification.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Tackling real-world complex- ity: Hierarchical modeling and dynamic prompting for multi- modal long document classification

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.540445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6de5f2d3-7fb1-4956-9e98-0dae29a73fbf · outbound

This paper cites Cross-modal causal relational reasoning for event-level visual question answer- ing.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Cross-modal causal relational reasoning for event-level visual question answer- ing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.523862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ecf6230c-4e78-4039-adc1-6779e87e26a0 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:13.589686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.589686Z digest=sha256:77ffa9ced6545dd7a308cae2b562b798e7580e2bcad8f3d7751e5ee473d6bc4b

Observation 71f7e8d8-50fe-4b47-8f23-a8063d776e71 · outbound

This paper cites Decoupled Weight Decay Regularization.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Decoupled Weight Decay Regularization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:13.594952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.594952Z digest=sha256:9671135fa1b16a820066c77479c18f535e45f8f71a8f1daa8893edfe8f468112

Observation 7183cab3-a810-4635-8169-5f0b42ae1de3 · outbound

This paper cites Multi-modal modality-masked diffusion network for brain mri synthesis with random modality missing.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Multi-modal modality-masked diffusion network for brain mri synthesis with random modality missing

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.493831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.599767Z digest=sha256:1a76b3842f8a74962f6096d696f65697c5a736f81207cfe67ecf616be8a02199

Observation 1ba48732-092d-4651-8ec7-c2fa7421cc76 · outbound

This paper cites Semantically conditioned prompts for visual recognition under missing modality scenarios.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Semantically conditioned prompts for visual recognition under missing modality scenarios

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.477067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.605667Z digest=sha256:bfd3fa02b3394d7336a1e7e97520d74b8f0c4f913efd217f657f9c9691dd44bf

Observation 6352b3aa-7d51-47c2-a24b-560635b775af · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Learning transferable visual models from natural language supervi- sion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.460440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bc58cc0d-0697-40b1-8667-55cd64948704 · outbound

This paper cites Deep correlated prompting for visual recognition with miss- ing modalities.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Deep correlated prompting for visual recognition with miss- ing modalities

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.443089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 771209da-c689-4fc3-82b3-6683c23f9306 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Drivelm: Driving with graph visual question answering

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.427398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 01260b47-1eef-4f8e-a123-129ab953052b · outbound

This paper cites Emotional video captioning with vision-based emo- tion interpretation network.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Emotional video captioning with vision-based emo- tion interpretation network

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.410844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1fffe9f0-fe0f-46db-bbe8-d771d870db0e · outbound

This paper cites Strong and weak prompt engineer- ing for remote sensing image-text cross-modal retrieval.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Strong and weak prompt engineer- ing for remote sensing image-text cross-modal retrieval.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.393043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 92552c73-82af-4b1a-848c-296027f52315 · outbound

This paper cites Reason- rft: Reinforcement fine-tuning for visual reasoning.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Reason- rft: Reinforcement fine-tuning for visual reasoning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:13.635122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:13.635122Z digest=sha256:62275bf49bb494e496dc4a4680494e02247120023945200b3283a1aa1f736eb8

Observation 84d31d32-1718-4d3c-a2a9-f42ee4972010 · outbound

This paper cites Visualizing data using t-sne.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Visualizing data using t-sne

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.375289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 23c2961d-ceec-4580-9f68-7511e3dafdec · outbound

This paper cites Recipe recognition with large mul- timodal food dataset.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Recipe recognition with large mul- timodal food dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.357218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f809d894-284a-4059-b3c4-662e38bbbecc · outbound

This paper cites Deep Multimodal Learning with Missing Modality: A Survey.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Deep Multimodal Learning with Missing Modality: A Survey

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:13.649742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 075a79b3-ed4d-4e6e-83d3-59e99431fef5 · outbound

This paper cites Consistent prompt tuning for generalized category discovery.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Consistent prompt tuning for generalized category discovery

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.339410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae40199f-0210-4065-96e6-775b53ecc9be · outbound

This paper cites Cpt: Colorful prompt tuning for pre-trained vision-language models.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Cpt: Colorful prompt tuning for pre-trained vision-language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.320478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.661195Z digest=sha256:50ca8a7ce94f2cc8926b7b460baa289276246e187da113fc80fdbed7d52dd4c8

Observation 6369c64d-ff7c-4537-8957-96cf86b9c8d1 · outbound

This paper cites Dept: Decoupled prompt tuning.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Dept: Decoupled prompt tuning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.303121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.667097Z digest=sha256:36ca82a2138061c9a68f5ba56d2c9822eb98ee1ff84cdf0c389aea2dd0f2bdca

Observation e91a0685-a5d7-4409-8fed-69eed97b46a2 · outbound

This paper cites Unified multi-modal diagnostic framework with reconstruc- tion pre-training and heterogeneity-combat tuning.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Unified multi-modal diagnostic framework with reconstruc- tion pre-training and heterogeneity-combat tuning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.281905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.675335Z digest=sha256:4c06b67b771dfa4ad353a0bcad3c71e6162d4c201d520c2227dada2e8d57e989

Observation 438d17e5-578e-4684-8783-d4177ebaec3e · outbound

This paper cites Missing modality imagination network for emotion recognition with uncertain missing modalities.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Missing modality imagination network for emotion recognition with uncertain missing modalities

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.264815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.680855Z digest=sha256:a0e6b3dc97aa33c9839da99ef8abd34ac05fa204051b1951e3bccb396ed7ebbb

Observation 7c16890b-27fe-44c5-8c5e-f0b76d8182ff · outbound

This paper cites A survey on safe multi-modal learning systems.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities A survey on safe multi-modal learning systems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.248112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.687519Z digest=sha256:9a3109878a7685c47df0ca2a49f987ac8c6692f4afa6d50a477064bc1e6a1c0f

Observation 0700690a-23b0-44fd-8d01-0ff2678c6e70 · outbound

This paper cites Learning to prompt for vision-language models.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Learning to prompt for vision-language models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.231259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:37:13.694447Z digest=sha256:1c1332c3e7021d87b3574db3fa1e2d24b6a212a172374d9d3898d4460947546f

Observation 1c2519d5-65fd-4724-b933-b92b0e244433 · outbound

This paper cites Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis.

Synergistic Prompting for Robust Visual Recognition with Missing Modalities Dynamic adapter meets prompt tuning: Parameter-efficient transfer learning for point cloud analysis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:37:14.212711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.