Paper Citation Record · LEDGER

Active Multimodal Distillation for Few-shot Action Recognition

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.13322.

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

pith.paper-citation-record.v1
2506.13322 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:30.871514Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy32
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 358646c1-9085-4aa7-8aec-2f8e7d6ed255 · outbound

This paper cites Improved few- shot visual classification.

Active Multimodal Distillation for Few-shot Action Recognition Improved few- shot visual classification

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.782885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19d42adf-716c-4f99-8031-a4ff17f0f7d2 · outbound

This paper cites Mars: Motion- augmented rgb stream for action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Mars: Motion- augmented rgb stream for action recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.667649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b4f52fc-ecde-454e-ab02-4dc9e6147e5b · outbound

This paper cites Exploring collaborative diffusion model inferring for aigc-enabled edge services.IEEE Trans- actions on Cognitive Communications and Networking,.

Active Multimodal Distillation for Few-shot Action Recognition Exploring collaborative diffusion model inferring for aigc-enabled edge services.IEEE Trans- actions on Cognitive Communications and Networking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.337607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61202b1c-2b72-40f4-a7b8-4c38639173eb · outbound

This paper cites Modality distillation with multiple stream networks for action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Modality distillation with multiple stream networks for action recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.065984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72987a6c-662f-49e9-b1ad-0715f18ca2f5 · outbound

This paper cites The” something something” video database for learning and evaluating vi- sual common sense.

Active Multimodal Distillation for Few-shot Action Recognition The” something something” video database for learning and evaluating vi- sual common sense

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.050059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 476419cd-9674-4a01-8899-7bad05817cb9 · outbound

This paper cites Pro- togan: Towards few shot learning for action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Pro- togan: Towards few shot learning for action recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.847215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5d39b0b-f5d6-4191-8cff-ed6879e95d81 · outbound

This paper cites Crnet: Cross-reference networks for few-shot segmentation.

Active Multimodal Distillation for Few-shot Action Recognition Crnet: Cross-reference networks for few-shot segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.716901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f241aa1-935c-40a4-8791-8f2facb5d086 · outbound

This paper cites A Review of Human Emotion Synthesis Based on Generative Technology.

Active Multimodal Distillation for Few-shot Action Recognition A Review of Human Emotion Synthesis Based on Generative Technology

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:30.263752Z

Source-reported events for the cited work

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Observation d063f8be-d08f-4f0e-9087-03704a67f011 · outbound

This paper cites Self- paced adversarial training for multimodal few-shot learn- ing.

Active Multimodal Distillation for Few-shot Action Recognition Self- paced adversarial training for multimodal few-shot learn- ing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.499764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79193f7a-0d72-4fe2-a559-f433e4055d40 · outbound

This paper cites Relational knowledge distillation.

Active Multimodal Distillation for Few-shot Action Recognition Relational knowledge distillation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.441285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c657b1eb-3a2a-453a-b4ee-fd98f84ac1e9 · outbound

This paper cites Two-stream collaborative learning with spatial- temporal attention for video classification.IEEE Trans- actions on Circuits and Systems for Video Technology, 29(3):773–786,.

Active Multimodal Distillation for Few-shot Action Recognition Two-stream collaborative learning with spatial- temporal attention for video classification.IEEE Trans- actions on Circuits and Systems for Video Technology, 29(3):773–786,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.320174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57e71fdd-8373-4141-a284-04c3a775cd1b · outbound

This paper cites Temporal- relational crosstransformers for few-shot action recogni- tion.

Active Multimodal Distillation for Few-shot Action Recognition Temporal- relational crosstransformers for few-shot action recogni- tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.306249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4bd1b39-22bd-4b05-abc7-c89899c2ea29 · outbound

This paper cites Generating mean- ing: Active inference and generative ai.PsyArXiv.

Active Multimodal Distillation for Few-shot Action Recognition Generating mean- ing: Active inference and generative ai.PsyArXiv

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.196176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c54b0662-ac2b-43ff-85e5-52008ddb58ef · outbound

This paper cites Spatio-temporal relation modeling for few-shot action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Spatio-temporal relation modeling for few-shot action recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.117964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2265c944-2cb8-4d2a-b5d3-ff8bebe1fff5 · outbound

This paper cites Multimodal few-shot learning with frozen language models.Advances in Neural Information Processing Sys- tems, 34:200–212,.

Active Multimodal Distillation for Few-shot Action Recognition Multimodal few-shot learning with frozen language models.Advances in Neural Information Processing Sys- tems, 34:200–212,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.060252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5cb4b4b-a77c-4565-835b-ad975069c4c4 · outbound

This paper cites Similarity-preserving knowledge distillation.

Active Multimodal Distillation for Few-shot Action Recognition Similarity-preserving knowledge distillation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.943414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f25e113d-1c0b-4142-a24b-d6f836adc1eb · outbound

This paper cites Action recognition with trajectory-pooled deep- convolutional descriptors.

Active Multimodal Distillation for Few-shot Action Recognition Action recognition with trajectory-pooled deep- convolutional descriptors

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.928744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30a0b93e-6ddf-43e6-8367-107891e09403 · outbound

This paper cites Hybrid relation guided set matching for few-shot action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Hybrid relation guided set matching for few-shot action recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.838177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94a78b1f-5ce4-44e6-b016-6240347afd44 · outbound

This paper cites Ai-tfnet: Active in- ference transfer convolutional fusion network for hyper- spectral image classification.Remote Sensing, 15(5):1292,.

Active Multimodal Distillation for Few-shot Action Recognition Ai-tfnet: Active in- ference transfer convolutional fusion network for hyper- spectral image classification.Remote Sensing, 15(5):1292,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.822943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a6b8e55-a47b-4f0b-bbc7-1b77f4cb846a · outbound

This paper cites Elevating knowledge-enhanced entity and relation- ship understanding for sarcasm detection.IEEE Transac- tions on Knowledge and Data Engineering,.

Active Multimodal Distillation for Few-shot Action Recognition Elevating knowledge-enhanced entity and relation- ship understanding for sarcasm detection.IEEE Transac- tions on Knowledge and Data Engineering,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:30.578005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1247053b-f477-4c52-9719-da79e1bc862f · outbound

This paper cites Active exploration of multimodal complementarity for few-shot action recog- nition.

Active Multimodal Distillation for Few-shot Action Recognition Active exploration of multimodal complementarity for few-shot action recog- nition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.655517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c9250d9-0feb-4ac6-8c13-ae8c29f176bc · outbound

This paper cites Motion-modulated tem- poral fragment alignment network for few-shot action recognition.

Active Multimodal Distillation for Few-shot Action Recognition Motion-modulated tem- poral fragment alignment network for few-shot action recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.632004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcacc81f-15c1-4263-9a6f-54e3da8a5bed · outbound

This paper cites Enriching multimodal sentiment analysis through textual emotional descriptions of visual-audio content.

Active Multimodal Distillation for Few-shot Action Recognition Enriching multimodal sentiment analysis through textual emotional descriptions of visual-audio content

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.517936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d0a8475-134b-4ec1-810d-0dc5d35744b2 · outbound

This paper cites Human mo- tion video generation: A survey.Authorea Preprints,.

Active Multimodal Distillation for Few-shot Action Recognition Human mo- tion video generation: A survey.Authorea Preprints,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.444456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5dfa899a-275f-47cd-8b2b-32f5a622c43a · outbound

This paper cites AIM: Adapting Image Models for Efficient Video Action Recognition.

Active Multimodal Distillation for Few-shot Action Recognition AIM: Adapting Image Models for Efficient Video Action Recognition

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:30.750342Z

Source-reported events for the cited work

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Observation 9d7d95e3-5b01-4d1e-b98a-172facb8a50e · outbound

This paper cites Few- shot action recognition with permutation-invariant atten- tion.

Active Multimodal Distillation for Few-shot Action Recognition Few- shot action recognition with permutation-invariant atten- tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.378067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b113da28-3f76-4ff1-a546-f2a46493e383 · outbound

This paper cites Premier-taco is a few-shot policy learner: Pretraining multitask representation via temporal action- driven contrastive loss.

Active Multimodal Distillation for Few-shot Action Recognition Premier-taco is a few-shot policy learner: Pretraining multitask representation via temporal action- driven contrastive loss

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.288661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06b084a8-60cd-4929-a74c-5eef5131d268 · outbound

This paper cites Compound memory networks for few-shot video classification.

Active Multimodal Distillation for Few-shot Action Recognition Compound memory networks for few-shot video classification

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:31.222420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b380a46-e3ee-4777-aca1-eed2b8b55b61 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Active Multimodal Distillation for Few-shot Action Recognition The Kinetics Human Action Video Dataset

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:30.107690Z

Source-reported events for the cited work

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Observation 17fb6687-ce80-485a-b112-34e76e25abe2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Active Multimodal Distillation for Few-shot Action Recognition Distilling the Knowledge in a Neural Network

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:29.977447Z

Source-reported events for the cited work

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Observation dbcafbe9-8b0c-4f09-ba6f-8660cc8a008e · outbound

This paper cites Cross modal distillation for supervision transfer.

Active Multimodal Distillation for Few-shot Action Recognition Cross modal distillation for supervision transfer

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:32.923962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49ac2519-5137-45db-933a-b78411a7d268 · outbound

This paper cites Few-shot object detection with attention- rpn and multi-relation detector.

Active Multimodal Distillation for Few-shot Action Recognition Few-shot object detection with attention- rpn and multi-relation detector

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.420210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52b47e75-3abe-4d04-915b-f550c1ac0e2b · outbound

This paper cites Learning an augmented rgb representation with cross-modal knowledge distillation for action detection.

Active Multimodal Distillation for Few-shot Action Recognition Learning an augmented rgb representation with cross-modal knowledge distillation for action detection

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.521535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fd4795b-2920-42b2-8a07-44b1d17cbacb · outbound

This paper cites Few-shot video classification via temporal alignment.

Active Multimodal Distillation for Few-shot Action Recognition Few-shot video classification via temporal alignment

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.682186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce31e1ed-9c3b-425f-861d-24ec0076d8ab · outbound

This paper cites Fast parameter adaptation for few- shot image captioning and visual question answering.

Active Multimodal Distillation for Few-shot Action Recognition Fast parameter adaptation for few- shot image captioning and visual question answering

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.434024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7a24e22-beda-4438-bcef-29c7ee46d4d5 · outbound

This paper cites Reinforcement Learning through Active Inference.

Active Multimodal Distillation for Few-shot Action Recognition Reinforcement Learning through Active Inference

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:30.427732Z

Source-reported events for the cited work

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Observation 35ab095b-08dc-4ba8-b73f-548972711a28 · outbound

This paper cites Adaptive Stream Processing on Edge Devices through Active Inference.

Active Multimodal Distillation for Few-shot Action Recognition Adaptive Stream Processing on Edge Devices through Active Inference

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:08:31.037802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db0ba325-1d5a-49b8-b75d-d464dfa0ad64 · outbound

This paper cites Federated deep reinforcement learning for multimodal content caching in edge-cloud networks.IEEE Transac- tions on Network Science and Engineering,.

Active Multimodal Distillation for Few-shot Action Recognition Federated deep reinforcement learning for multimodal content caching in edge-cloud networks.IEEE Transac- tions on Network Science and Engineering,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.193182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e212abbe-3392-4e73-9599-b3de9d6fe3fb · outbound

This paper cites Depth guided adaptive meta- fusion network for few-shot video recognition.

Active Multimodal Distillation for Few-shot Action Recognition Depth guided adaptive meta- fusion network for few-shot video recognition

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:33.178274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.