Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T08:15:12.947854Z
Paper Citation Record · LEDGER
How Far Are We from Generating Missing Modalities with Foundation Models?
As of 12 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2506.03530.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
70 of 70 outbound references displayed
- verified exact32
- verified fuzzy37
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 95d9c0ea-7a99-48a9-9c9a-7f27333dbbcf · outbound
This paper cites Incomplete multimodality-diffused emotion recognition.
How Far Are We from Generating Missing Modalities with Foundation Models? Incomplete multimodality-diffused emotion recognition
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.350491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81e53b55-8c3e-4c3c-b416-2906b9dfbca7 · outbound
This paper cites Smil: Multimodal learning with severely missing modality.
How Far Are We from Generating Missing Modalities with Foundation Models? Smil: Multimodal learning with severely missing modality
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.347406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3fcc976-2e50-4d47-9ccd-826cc65c5303 · outbound
This paper cites Are multi- modal transformers robust to missing modality?.
How Far Are We from Generating Missing Modalities with Foundation Models? Are multi- modal transformers robust to missing modality?
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.356540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 591521bb-543d-4aaf-93cd-b1ef47aaa961 · outbound
This paper cites M3care: Learning with missing modalities in multimodal healthcare data.
How Far Are We from Generating Missing Modalities with Foundation Models? M3care: Learning with missing modalities in multimodal healthcare data
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.359418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3591e894-f0cd-4280-8dc1-cc4a2518090c · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
How Far Are We from Generating Missing Modalities with Foundation Models? Emu3: Next-Token Prediction is All You Need
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.594782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8aa2407d-110a-40d5-bafe-800413dd2d33 · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
How Far Are We from Generating Missing Modalities with Foundation Models? Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.665515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 92f9d9f1-1d00-4d5d-97b5-8a65d31f697a · outbound
This paper cites GPT-4o System Card.
How Far Are We from Generating Missing Modalities with Foundation Models? GPT-4o System Card
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.604957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e35e6e17-188b-4144-bb42-4ec1b804f7d4 · outbound
This paper cites Qwen2.5-Omni Technical Report.
How Far Are We from Generating Missing Modalities with Foundation Models? Qwen2.5-Omni Technical Report
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.550886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1f84e6f-9410-43e2-b209-f4aca9e639ee · outbound
This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.
How Far Are We from Generating Missing Modalities with Foundation Models? Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.522975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e7634bad-bdd2-4147-a13f-7b1be3b9624e · outbound
This paper cites Knowledge bridger: Towards training-free missing multi-modality completion.
How Far Are We from Generating Missing Modalities with Foundation Models? Knowledge bridger: Towards training-free missing multi-modality completion
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.270048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 562bb69e-53cd-4995-9c54-67d5ce617449 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
How Far Are We from Generating Missing Modalities with Foundation Models? High- resolution image synthesis with latent diffusion models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.263553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 17e81f9e-19e0-4059-a506-e41c56fb8682 · outbound
This paper cites Gen- erative adversarial text to image synthesis.
How Far Are We from Generating Missing Modalities with Foundation Models? Gen- erative adversarial text to image synthesis
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.328704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81165763-dabb-4b4d-83fd-5a059ea595bf · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
How Far Are We from Generating Missing Modalities with Foundation Models? Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.528489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fbe66dd3-b9f1-4061-9032-6aedf59e49c6 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
How Far Are We from Generating Missing Modalities with Foundation Models? Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.614999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 833355d6-6bc7-45e7-b768-abac05b45178 · outbound
This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.
How Far Are We from Generating Missing Modalities with Foundation Models? AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.620840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 23d4d13f-90ac-4812-8a5d-2f401024cf76 · outbound
This paper cites Imagebind: One embedding space to bind them all.
How Far Are We from Generating Missing Modalities with Foundation Models? Imagebind: One embedding space to bind them all
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.324136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f932e840-318a-45e1-9f6f-875b17f5d0a0 · outbound
This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.
How Far Are We from Generating Missing Modalities with Foundation Models? Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.584502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a8431434-d89a-4f89-a59b-cb58546d02bf · outbound
This paper cites ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation.
How Far Are We from Generating Missing Modalities with Foundation Models? ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.648556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 27f16c1e-7fa0-443d-966b-2e4399a6cbc5 · outbound
This paper cites Can Test-Time Scaling Improve World Foundation Model?.
How Far Are We from Generating Missing Modalities with Foundation Models? Can Test-Time Scaling Improve World Foundation Model?
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.660335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f7291bbb-a83d-484b-94ec-91c2c5f66080 · outbound
This paper cites Training strategies to handle missing modalities for audio-visual expression recognition.
How Far Are We from Generating Missing Modalities with Foundation Models? Training strategies to handle missing modalities for audio-visual expression recognition
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.338503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 98f8b18d-b2f3-4f45-9aef-4ecb947d9439 · outbound
This paper cites Deep partial multi-view learning.
How Far Are We from Generating Missing Modalities with Foundation Models? Deep partial multi-view learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.377044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6aac7bab-27d2-41cc-be8f-d7806573f6e7 · outbound
This paper cites Multi-modal learning with missing modality via shared-specific feature modelling.
How Far Are We from Generating Missing Modalities with Foundation Models? Multi-modal learning with missing modality via shared-specific feature modelling
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.282399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1306f14e-3cf1-4765-9f3f-1fb0693173d1 · outbound
This paper cites Gcnet: Graph completion network for incomplete multimodal learning in conversation.
How Far Are We from Generating Missing Modalities with Foundation Models? Gcnet: Graph completion network for incomplete multimodal learning in conversation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.369954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2ef93831-50f4-415e-85ec-907762700387 · outbound
This paper cites Found in translation: Learning robust joint representations by cyclic translations between modalities.
How Far Are We from Generating Missing Modalities with Foundation Models? Found in translation: Learning robust joint representations by cyclic translations between modalities
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.253795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e8c84306-a58c-4762-9674-9b57a8f996fd · outbound
This paper cites Multimodal prompting with missing modalities for visual recognition.
How Far Are We from Generating Missing Modalities with Foundation Models? Multimodal prompting with missing modalities for visual recognition
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.279547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation add58491-431b-4211-8890-da59ada4d926 · outbound
This paper cites Multimodal prompt learning with missing modalities for sentiment analysis and emotion recognition.
How Far Are We from Generating Missing Modalities with Foundation Models? Multimodal prompt learning with missing modalities for sentiment analysis and emotion recognition
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.276382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e2f4b396-b82b-48c6-a569-c625b56b0796 · outbound
This paper cites Multi-modal modality- masked diffusion network for brain mri synthesis with random modality missing.
How Far Are We from Generating Missing Modalities with Foundation Models? Multi-modal modality- masked diffusion network for brain mri synthesis with random modality missing
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.260754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b2101404-ec82-4372-8f1a-70f9e1900ce0 · outbound
This paper cites Fgc2f-udiff: Frequency-guided and coarse-to-fine unified diffusion model for multi-modality missing mri synthesis.
How Far Are We from Generating Missing Modalities with Foundation Models? Fgc2f-udiff: Frequency-guided and coarse-to-fine unified diffusion model for multi-modality missing mri synthesis
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.266966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation be771c8c-aed5-4680-a4db-49327325439f · outbound
This paper cites Qwen2.5 Technical Report.
How Far Are We from Generating Missing Modalities with Foundation Models? Qwen2.5 Technical Report
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.496917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1db78713-cf77-4beb-bd20-28d49d14a03a · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
How Far Are We from Generating Missing Modalities with Foundation Models? LLaMA: Open and Efficient Foundation Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.504117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 75032a97-bd9b-4ea7-bcdd-07c71ed1b506 · outbound
This paper cites an unresolved cited work.
How Far Are We from Generating Missing Modalities with Foundation Models? Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T08:15:34.239329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a5eeaf16-9350-4e60-8ff0-3ee6c0751137 · outbound
This paper cites Stable audio open.
How Far Are We from Generating Missing Modalities with Foundation Models? Stable audio open
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.243247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8697f9f9-c670-42f7-a4ab-c026daef522a · outbound
This paper cites Audioldm 2: Learning holistic audio generation with self-supervised pretraining.
How Far Are We from Generating Missing Modalities with Foundation Models? Audioldm 2: Learning holistic audio generation with self-supervised pretraining
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.250134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dcc7b4c1-f8da-40f1-b550-492ab4deecfc · outbound
This paper cites Next-gpt: Any-to-any multimodal llm.
How Far Are We from Generating Missing Modalities with Foundation Models? Next-gpt: Any-to-any multimodal llm
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.246576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a32b42bb-0b00-453e-8f43-b79ace42a4fc · outbound
This paper cites Generative adversarial networks.
How Far Are We from Generating Missing Modalities with Foundation Models? Generative adversarial networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.257087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1fb165c4-dc5e-4ef8-814c-6a963cfa0674 · outbound
This paper cites Conditional Generative Adversarial Nets.
How Far Are We from Generating Missing Modalities with Foundation Models? Conditional Generative Adversarial Nets
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.556236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 305dd6a6-685e-4c9b-be12-83fff1068f11 · outbound
This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.
How Far Are We from Generating Missing Modalities with Foundation Models? Large Scale GAN Training for High Fidelity Natural Image Synthesis
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.573334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c7b0bb86-372f-48cf-9581-89151f26efe8 · outbound
This paper cites Classifier-Free Diffusion Guidance.
How Far Are We from Generating Missing Modalities with Foundation Models? Classifier-Free Diffusion Guidance
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.589795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c4843018-e672-42d7-9409-4c395484750c · outbound
This paper cites AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation.
How Far Are We from Generating Missing Modalities with Foundation Models? AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.534464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b5d2ff7b-b71d-42b3-91a3-db5ebee5e88e · outbound
This paper cites MissDiff: Training Diffusion Models on Tabular Data with Missing Values.
How Far Are We from Generating Missing Modalities with Foundation Models? MissDiff: Training Diffusion Models on Tabular Data with Missing Values
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.654661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b908170d-de34-46b1-ab09-f6274f8d5e66 · outbound
This paper cites Generating with fairness: A modality-diffused counterfactual framework for incomplete multimodal recommendations.
How Far Are We from Generating Missing Modalities with Foundation Models? Generating with fairness: A modality-diffused counterfactual framework for incomplete multimodal recommendations
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.366335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 11215dfd-8e4d-494a-8f0b-3799655c7a20 · outbound
This paper cites Agent AI: Surveying the Horizons of Multimodal Interaction.
How Far Are We from Generating Missing Modalities with Foundation Models? Agent AI: Surveying the Horizons of Multimodal Interaction
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.517689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ade6246f-7ee3-4cc8-be8f-f7db2bcb9ff6 · outbound
This paper cites Agent S: An Open Agentic Framework that Uses Computers Like a Human.
How Far Are We from Generating Missing Modalities with Foundation Models? Agent S: An Open Agentic Framework that Uses Computers Like a Human
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.636785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43924d15-bd65-4640-85e1-d15346248ae5 · outbound
This paper cites A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions.
How Far Are We from Generating Missing Modalities with Foundation Models? A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.561913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ff716df3-c2ac-4cf8-b95c-34098fcf9d58 · outbound
This paper cites Solving Math Word Problems via Cooperative Reasoning induced Language Models.
How Far Are We from Generating Missing Modalities with Foundation Models? Solving Math Word Problems via Cooperative Reasoning induced Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.539621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ec7f7ddf-16f5-487e-94fa-ebd976594f1a · outbound
This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
How Far Are We from Generating Missing Modalities with Foundation Models? Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.545142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b8aa8cf8-10d0-488f-929d-34fe3433ce68 · outbound
This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
How Far Are We from Generating Missing Modalities with Foundation Models? Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.600135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 02427c67-1d3e-47fe-9033-d3a9a90df43a · outbound
This paper cites Agen- tic ai software engineer: Programming with trust.
How Far Are We from Generating Missing Modalities with Foundation Models? Agen- tic ai software engineer: Programming with trust
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.610573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6a9032a2-fc2d-42b3-80f4-9d213b3ca745 · outbound
This paper cites Building Living Software Systems with Generative & Agentic AI.
How Far Are We from Generating Missing Modalities with Foundation Models? Building Living Software Systems with Generative & Agentic AI
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.672103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 067affa2-1d29-4a23-964a-b00040c00145 · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.
How Far Are We from Generating Missing Modalities with Foundation Models? Toolformer: Language models can teach themselves to use tools
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.331945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4afbdc9a-44cf-48ed-9cd9-0edbd520751f · outbound
This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.
How Far Are We from Generating Missing Modalities with Foundation Models? Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.321206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dfdc6810-ce1a-4bac-8552-d320aa651c67 · outbound
This paper cites Navgpt: Explicit reasoning in vision- and-language navigation with large language models.
How Far Are We from Generating Missing Modalities with Foundation Models? Navgpt: Explicit reasoning in vision- and-language navigation with large language models
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.317472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0ab2517b-68f6-48ab-8557-ccb0ef8e018c · outbound
This paper cites AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations.
How Far Are We from Generating Missing Modalities with Foundation Models? AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.568089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 77770db0-3625-4086-b62b-52bdcb2715db · outbound
This paper cites Mind2web: Towards a generalist agent for the web.
How Far Are We from Generating Missing Modalities with Foundation Models? Mind2web: Towards a generalist agent for the web
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.306921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 75e366fe-e82b-49f6-8c59-fead979f0204 · outbound
This paper cites Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark.
How Far Are We from Generating Missing Modalities with Foundation Models? Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.310084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f7d87118-9734-4b47-8731-438c378ff97d · outbound
This paper cites Qwen2.5-VL Technical Report.
How Far Are We from Generating Missing Modalities with Foundation Models? Qwen2.5-VL Technical Report
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.631601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1029e453-ebe7-4fbd-8816-ed5d7afdc1e8 · outbound
This paper cites Vggsound: A large- scale audio-visual dataset.
How Far Are We from Generating Missing Modalities with Foundation Models? Vggsound: A large- scale audio-visual dataset
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.313701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1565391-2e04-4d59-bfa7-93f57bfb3891 · outbound
This paper cites Msr-vtt: A large video description dataset for bridging video and language.
How Far Are We from Generating Missing Modalities with Foundation Models? Msr-vtt: A large video description dataset for bridging video and language
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.303333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 35213dd1-9ad4-4139-83f4-d7a39c585e8d · outbound
This paper cites Audiocaps: Generating captions for audios in the wild.
How Far Are We from Generating Missing Modalities with Foundation Models? Audiocaps: Generating captions for audios in the wild
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.296622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8910431c-8771-455b-826f-e19084f1d670 · outbound
This paper cites Microsoft coco: Common objects in context.
How Far Are We from Generating Missing Modalities with Foundation Models? Microsoft coco: Common objects in context
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.353293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ab16854-af37-4199-bba3-7fc35cfd0d89 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
How Far Are We from Generating Missing Modalities with Foundation Models? Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.286120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aa6201c1-5006-4f59-a19a-3b9d15bd1357 · outbound
This paper cites Learning transferable visual models from natural language supervision.
How Far Are We from Generating Missing Modalities with Foundation Models? Learning transferable visual models from natural language supervision
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.289728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d19118ca-92d3-48ff-bcc1-dade5239dcd9 · outbound
This paper cites From wer and ril to mer and wil: improved evaluation measures for connected speech recognition.
How Far Are We from Generating Missing Modalities with Foundation Models? From wer and ril to mer and wil: improved evaluation measures for connected speech recognition
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.373650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e5dba6e3-7d84-4d71-a510-1bf3c92c8645 · outbound
This paper cites Tasnet: time-domain audio separation network for real-time, single-channel speech separation.
How Far Are We from Generating Missing Modalities with Foundation Models? Tasnet: time-domain audio separation network for real-time, single-channel speech separation
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.341761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b4a385fd-9de8-4333-824e-2fc364433eb1 · outbound
This paper cites Perceptual evaluation of speech quality (pesq): An objective method for end-to-end speech quality assessment of narrow- band telephone networks and speech codecs.
How Far Are We from Generating Missing Modalities with Foundation Models? Perceptual evaluation of speech quality (pesq): An objective method for end-to-end speech quality assessment of narrow- band telephone networks and speech codecs
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.273499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 42014936-3b41-4833-9fdf-6179158f65fc · outbound
This paper cites Best Practices and Lessons Learned on Synthetic Data.
How Far Are We from Generating Missing Modalities with Foundation Models? Best Practices and Lessons Learned on Synthetic Data
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.642335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a784138f-fbcc-4a56-80a8-9d14f20a69fe · outbound
This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.
How Far Are We from Generating Missing Modalities with Foundation Models? Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.578871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f7dccf6c-b24b-4b1b-b01d-b5acb5812876 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
How Far Are We from Generating Missing Modalities with Foundation Models? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.509920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b3a0c79-3445-43f2-a813-5c2e0971c014 · outbound
This paper cites Lora: Low-rank adaptation of large language models.
How Far Are We from Generating Missing Modalities with Foundation Models? Lora: Low-rank adaptation of large language models
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.344679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1fd2402-f37d-4ebd-a6aa-821fb6e344ea · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
How Far Are We from Generating Missing Modalities with Foundation Models? The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.625897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.