Daily Paper Cast
by Jingwen Liang, Gengyu Wang
Is this your podcast?Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇭🇺HU · Science#160500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
150 to 900🎙 Daily cadence·1,000 episodes·Last published 1mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
500 to 3K🇭🇺100% - Active Followers
Loyal subscribers who consistently listen
150 to 900
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 65 epsHosts
Recent guests
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Recent episodes
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Jul 21, 2026
19m 13s
RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM
Jul 21, 2026
19m 44s
Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
Jul 21, 2026
20m 54s
Loop the Loopies!
Jul 21, 2026
19m 35s
xHC: Expanded Hyper-Connections
Jul 21, 2026
20m 38s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 7/21/26 | software agentsmultimodal resources+3 | — | RESOURCE2SKILLRESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources | — | skillssoftware agents+5 | — | 19m 13s | ||
| 7/21/26 | Graph RetrievalLarge Language Models+3 | — | RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM | — | GraphRAGknowledge graphs+3 | — | 19m 44s | ||
| 7/21/26 | vision-language-action modelsrobotics+3 | — | Xiaomi Robotics Team | — | Xiaomi RoboticsVLA model+4 | — | 20m 54s | ||
| 7/21/26 | Mixture-of-ExpertsLooped Transformers+3 | — | LoopieTransformer+1 | — | LoopieMixture-of-Experts+3 | — | 19m 35s | ||
| 7/21/26 | Hyper-ConnectionsTransformers+3 | — | — | — | Hyper-ConnectionsTransformers+4 | — | 20m 38s | ||
| 7/21/26 | healthcaremachine learning+4 | — | actAVA AI | — | Cura 1Thealthcare model+5 | — | 20m 49s | ||
| 7/21/26 | on-policy distillationreinforcement learning+3 | — | Naver | — | on-policy distillationdelta signal+3 | — | 19m 41s | ||
| 7/21/26 | recommender systemslarge language models+4 | — | — | — | RecGPT-V3recommender systems+5 | — | 22m 00s | ||
| 7/18/26 | video understandingmachine learning+4 | — | — | — | VideoChat3MLLM+5 | — | 24m 41s | ||
| 7/18/26 | reinforcement learningself-evolving frameworks+4 | — | — | — | SEEDreinforcement learning+5 | — | 19m 16s | ||
| 6/13/26 | memory evolutionLLM agents+3 | — | — | — | EvoArenaLLM agents+5 | — | 24m 06s | ||
| 6/13/26 | sparse attentionmachine learning+3 | — | Arxiv | — | MiniMax Sparse AttentionGrouped Query Attention+3 | — | 26m 02s | ||
| 6/13/26 | spatial reasoningvision-language models+4 | — | SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning | — | spatial reasoningvision-language models+4 | — | 22m 54s | ||
| 6/13/26 | image generationinterleaved generation+3 | — | — | — | InterleaveThinkerimage generators+4 | — | 21m 11s | ||
| 6/13/26 | deep search agentstraining data synthesis+3 | — | — | — | FORT-Searchershortcut-resistant+3 | — | 23m 14s | ||
| 6/13/26 | Multimodal Large Language ModelsVisual Understanding+4 | — | Arxiv | — | MLLMsvisual content recovery+6 | — | 20m 28s | ||
| 6/13/26 | mathematical proofgenerative verification+4 | — | — | — | MaxProofmathematical proof+6 | — | 23m 50s | ||
| 6/13/26 | computer-use agentshybrid interfaces+3 | — | UbuntuWeaveBench | — | WeaveBenchcomputer-use agents+5 | — | 20m 33s | ||
| 6/13/26 | AI in scientific laboratoriesVision-Language-Action models+3 | — | Arxiv | — | AI systemsscientific laboratories+5 | — | 23m 15s | ||
| 6/13/26 | multimodal modelsvisual tokenization+3 | — | HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers | — | HYDRA-Xmultimodal+4 | — | 20m 48s | ||
| 5/9/26 | cognitive scienceglobal activation+3 | — | — | — | global ignitioncognition+3 | — | 11m 50s | ||
| 5/9/26 | robotic manipulationWorld Action Models+3 | — | Arxiv | — | roboticsaction execution+3 | — | 12m 11s | ||
| 5/9/26 | Diffusion ModelsMachine Learning+3 | — | — | — | Continuous-TimeDistribution Matching+3 | — | 15m 16s | ||
| 5/8/26 | video generationreward distillation+3 | — | Arxiv | — | streaming videodistillation+5 | — | 22m 23s | ||
| 5/8/26 | video generationtest-time scaling+3 | — | arxiv | — | Stream-T1test-time scaling+3 | — | 21m 59s |
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Chart history for Daily Paper Cast
Peaked at #160 in HU, currently #160 in HU.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| HU | — | #160 | #160 | — |
Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.