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Paper Citation Record · LEDGER

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.07901.

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

pith.paper-citation-record.v1
2505.07901 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:22.443646Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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

measured 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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d83d035-47a1-4945-8f43-0492fbe38ad1 · outbound

This paper cites the MIT Press, 1974.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting the MIT Press, 1974

Reference 1

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Observation e73fb36b-80bd-42cc-8b3d-9ddf9e31ead2 · outbound

This paper cites The sor (stimulus-organism- response) paradigm in online learning: an empirical study of students’ knowledge hiding perceptions.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting The sor (stimulus-organism- response) paradigm in online learning: an empirical study of students’ knowledge hiding perceptions

Reference 2

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Source-reported events for the cited work

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

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Observation 83629d59-6ff0-43a6-b74e-c136f5ec9c49 · outbound

This paper cites The affec- tive facial recognition task: The influence of cognitive styles and exposure times.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting The affec- tive facial recognition task: The influence of cognitive styles and exposure times

Reference 3

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Source-reported events for the cited work

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

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Observation 6ef10c48-37d4-438f-b9e7-f3c9f37d7174 · outbound

This paper cites Comparison of spatio-temporal models for human motion and pose forecasting in face-to-face interaction scenarios supplementary material.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Comparison of spatio-temporal models for human motion and pose forecasting in face-to-face interaction scenarios supplementary material

Reference 4

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Source-reported events for the cited work

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

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Observation 041f5c1c-346e-45a6-a614-77bb91387949 · outbound

This paper cites Dyadgan: Generating facial expressions in dyadic interactions.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Dyadgan: Generating facial expressions in dyadic interactions

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 2026-08-16T06:30:59.297886+00:00.

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Observation da8caa73-c73f-4829-a1dc-012333c84038 · outbound

This paper cites Chalearn lap challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Chalearn lap challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results

Reference 6

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 0ee5d0c6-8b1d-42b9-8c60-86b94ef34068 · outbound

This paper cites Personality recognition by modelling person-specific cognitive pro- cesses using graph representation.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Personality recognition by modelling person-specific cognitive pro- cesses using graph representation

Reference 7

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Source-reported events for the cited work

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

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Observation 01bb0ef8-2a81-4170-90cc-bf5153e0f92c · outbound

This paper cites Learning person-specific cognition from facial reactions for automatic personality recognition.IEEE Transactions on Affective Computing, 14(4):3048– 3065, 2022.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Learning person-specific cognition from facial reactions for automatic personality recognition.IEEE Transactions on Affective Computing, 14(4):3048– 3065, 2022

Reference 8

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Source-reported events for the cited work

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

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Observation 30b7b5a8-37b1-41ae-b88c-02da27e1b0c7 · outbound

This paper cites Re- sponsive listening head generation: a benchmark dataset and baseline.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Re- sponsive listening head generation: a benchmark dataset and baseline

Reference 9

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Source-reported events for the cited work

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

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Observation 7b80c69a-14f5-4128-8f78-9e75e942b56a · outbound

This paper cites Learning to listen: Modeling non-deterministic dyadic facial motion.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Learning to listen: Modeling non-deterministic dyadic facial motion

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation b9781c47-783d-40aa-9323-6f5622821d1d · outbound

This paper cites Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f97b6b6-befb-4e59-b400-4a0b7ce99255 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting High-resolution image synthesis with latent diffusion models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c371371c-47a9-4401-aae0-57891c670d0a · outbound

This paper cites REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 931e5f74-c54b-478c-b274-fae07994dcb7 · outbound

This paper cites Responsive listening behavior.Computer animation and virtual worlds, 19(5):579–589, 2008.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Responsive listening behavior.Computer animation and virtual worlds, 19(5):579–589, 2008

Reference 14

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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 2026-08-16T06:30:59.297886+00:00.

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Observation bad65db0-334e-4a9e-b014-214d20e9277a · outbound

This paper cites To react or not to react: End-to-end visual pose forecasting for personalized avatar during dyadic conversations.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting To react or not to react: End-to-end visual pose forecasting for personalized avatar during dyadic conversations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:23.010293Z

Source-reported events for the cited work

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

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Observation 54b3196f-d6d5-4f7e-bfcf-d8f630212a20 · outbound

This paper cites Predicting head pose in dyadic conversation.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Predicting head pose in dyadic conversation

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 2026-08-16T06:30:59.297886+00:00.

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Observation 7bbf77f5-ac33-4dcd-9648-8af9d687f777 · outbound

This paper cites Affective Faces for Goal-Driven Dyadic Communication.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Affective Faces for Goal-Driven Dyadic Communication

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation affbe450-dde9-4401-a13d-2ff18319be9b · outbound

This paper cites Generative adversarial net- works.Communications of the ACM, 63(11):139–144, 2020.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Generative adversarial net- works.Communications of the ACM, 63(11):139–144, 2020

Reference 18

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Source-reported events for the cited work

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Observation 22317c20-cb43-4960-a903-5db0b1f0b8b1 · outbound

This paper cites Context-aware human behaviour forecasting in dyadic interactions.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Context-aware human behaviour forecasting in dyadic interactions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.962698Z

Source-reported events for the cited work

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

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Observation 47c90ba2-f437-4285-8162-15ce4b73b658 · outbound

This paper cites Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90ab26e6-b7a5-4b25-be1f-b98c15829d60 · outbound

This paper cites A morphable model for the synthesis of 3d faces.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting A morphable model for the synthesis of 3d faces

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 7e268714-aa20-4f45-9b9c-4ab5dd819b02 · outbound

This paper cites Neural discrete representation learning.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Neural discrete representation learning

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 20c947b2-634c-4006-ac4d-461a7391c791 · outbound

This paper cites Emo- tional listener portrait: Neural listener head generation with emotion.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Emo- tional listener portrait: Neural listener head generation with emotion

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 7e651156-0d17-4d41-b563-8fb5588e823f · outbound

This paper cites REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:21:22.572254Z

Source-reported events for the cited work

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

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Observation 3bd2b105-9b0a-41ca-96a6-db108bbbee00 · outbound

This paper cites Finite scalar quantization as facial tokenizer for dyadic reaction generation.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Finite scalar quantization as facial tokenizer for dyadic reaction generation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.884166Z

Source-reported events for the cited work

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

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Observation 62030e86-8ad4-4a43-b0de-a32b19857c2b · outbound

This paper cites One-to-many appropriate reaction mapping mod- eling with discrete latent variable.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting One-to-many appropriate reaction mapping mod- eling with discrete latent variable

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.867058Z

Source-reported events for the cited work

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

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Observation 04f87831-50ad-4ea7-bd86-19c0c862c404 · outbound

This paper cites Multiple facial reaction generation using gaussian mixture of models and multimodal bottleneck transformer.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Multiple facial reaction generation using gaussian mixture of models and multimodal bottleneck transformer

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.848268Z

Source-reported events for the cited work

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

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Observation 7cd2f16e-d2b1-474a-bc60-1cf216292b65 · outbound

This paper cites Vector quantized diffusion models for multiple ap- propriate reactions generation.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Vector quantized diffusion models for multiple ap- propriate reactions generation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.829443Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.361409Z digest=sha256:c96a0ce14827f2d0f81bd85aaabc42c23c87c8c7157a1b8e6987e7abea618016

Observation e9a9d17a-a8f1-4d1c-8812-4c933058787d · outbound

This paper cites Diffusion autoencoders: Toward a meaningful and decodable rep- resentation.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Diffusion autoencoders: Toward a meaningful and decodable rep- resentation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.810716Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.367391Z digest=sha256:96bd36f65913870d3b54d8c02e6fc2ec116609857841b2fe1db99a102f5f2a99

Observation e4ab73f9-d92a-49ef-8e44-9eae473f28ce · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.372823Z digest=sha256:e43fb49f3e7d8fb16e8ce4289e2fd687097165056e7bc35e9a6b6538c96b7b17

Observation b5a73a16-e238-437c-923c-bdd027d896bd · outbound

This paper cites Denoising diffusion probabilistic mod- els.Advances in neural information processing systems, 33:6840–6851, 2020.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Denoising diffusion probabilistic mod- els.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.379061Z digest=sha256:30f4777a76776a78a9b54bedb6ed65da0610a05e0ff820aef2bacca26663faf3

Observation 47592783-320f-405d-ae43-5d6cc7f4dfc6 · outbound

This paper cites The noxi database: multimodal recordings of mediated novice-expert interactions.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting The noxi database: multimodal recordings of mediated novice-expert interactions

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.779592Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.384243Z digest=sha256:96430246781d8ea87471682a0efa305505b219f025f6183f941015ed453ab23b

Observation 7f090409-dd0c-4eb5-9704-86f1d03f93c0 · outbound

This paper cites Intro- ducing the recola multimodal corpus of remote collaborative and affective inter- actions.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Intro- ducing the recola multimodal corpus of remote collaborative and affective inter- actions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.762355Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.388896Z digest=sha256:881919ea0a228099bf21233f7df6bfc8672147c84b16766a502c90bbce3014b3

Observation a72b0733-f37f-494b-baee-f65dae840b3c · outbound

This paper cites Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

Reference 34

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no resolver link, observed 2026-08-15T22:21:22.394270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.394270Z digest=sha256:bf3743feda9b96752e6e0058a643e3d731f54cb7851acfed306daf9557cbebb6

Observation 0501fc19-f19f-45f3-acfb-2766aa825c2e · outbound

This paper cites GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features

Reference 35

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no resolver link, observed 2026-08-15T22:21:22.399827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.399827Z digest=sha256:682bf5ecb8649e7892e61f4eb477d140f99130a89e700a4429837b9983339626

Observation 336e6d6a-4068-420e-91cc-68722152151f · outbound

This paper cites Estimation of continuous valence and arousal levels from faces in natural- istic conditions.Nature Machine Intelligence, 3(1):42–50, 2021.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Estimation of continuous valence and arousal levels from faces in natural- istic conditions.Nature Machine Intelligence, 3(1):42–50, 2021

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.745196Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.405102Z digest=sha256:2e16a045dcc6cb07262b5a2f4ffacb2cf3e493a6e2acef1fc6149ea099b26b15

Observation 3c5609f6-896b-4781-a43e-6f768feebc67 · outbound

This paper cites Teach: Temporal action composition for 3d humans.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Teach: Temporal action composition for 3d humans

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.724417Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.410163Z digest=sha256:433a95f87e631eeaf8767f19125c254a1f8f689fa4c3a2abfd9f8140bfe4f501

Observation bc1b836f-60d4-441e-8733-4f9c5fc6a87c · outbound

This paper cites Belfusion: Latent diffusion for behavior-driven human motion prediction.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Belfusion: Latent diffusion for behavior-driven human motion prediction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:21:22.703091Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T22:21:22.415261Z digest=sha256:c8b9c124b678cf1cbce5b19d54c1ddb2139777fb1fd9d1a2450b26c327e9a200

Observation 907748d3-ca60-427a-ac94-98b628617a40 · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Finite Scalar Quantization: VQ-VAE Made Simple

Reference 39

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unresolved
no resolver link, observed 2026-08-15T22:21:22.420276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.420276Z digest=sha256:f12814173d55815ea9a36da5b4e212e0bdd352ce806b1a6864c62409836e13fd

Observation b01912c6-e0d7-429e-a112-7475e124f912 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:21:22.425997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.425997Z digest=sha256:72a2efff39f204560e4205742777f0a3a40932c277603bff827930e8c4bb2126

Observation 2fc365fd-cbc8-4bd5-8a10-87f7a49cf3a0 · outbound

This paper cites Attention is all you need.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Attention is all you need

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:21:22.431689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.431689Z digest=sha256:960b58d95931cd935c060b3f3e78b9f78a05c07ce94d3fd6edfd37d35fc514cd

Observation 637225b1-a717-4d60-a231-7adbd3ee4ac2 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T22:21:22.437617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.437617Z digest=sha256:1a3baf3b8c3e3a1a3b1b9bf8a4fb300f2c1d52a3890244b4244d5e070649152d

Observation 033874c0-2649-4076-8a03-41084606f91c · outbound

This paper cites Pirenderer: Control- lable portrait image generation via semantic neural rendering.

Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting Pirenderer: Control- lable portrait image generation via semantic neural rendering

Reference 43

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unresolved
no resolver link, observed 2026-08-15T22:21:22.443646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:22.443646Z digest=sha256:2b019fa44618a1b8ac2b642253f237078a6bc6fa3ff4741d835da388eadc0ba9

Pith citing papers

No inbound Pith citation observations are available.