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Paper Citation Record · LEDGER

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.01077.

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

pith.paper-citation-record.v1
2506.01077 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:45.836932Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9575180d-b6ef-4641-b8d8-c18a900e24c6 · outbound

This paper cites an unresolved cited work.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-08-07T11:56:45.821231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.821231Z digest=sha256:14b7afcf8d5176f2d56c8d37cb39c13a0cc7b48b7935eef463f609a270b8f2f4

Observation bd07f59a-a8cc-47f8-8b56-7560b752da8b · outbound

This paper cites In Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Reference 6

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unresolved
no resolver link, observed 2026-08-07T11:56:45.762607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fb09ecb6-6d9c-47e3-a0d5-c1f4d1b8e74d · outbound

This paper cites In 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 12

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unresolved
no resolver link, observed 2026-08-07T11:56:45.787297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16d72951-ed3d-4944-aaaa-9d1ced63a2ba · outbound

This paper cites doi:10.21437/Interspeech.2019-1873 Sinan Sonlu, Bennie Bendiksen, Funda Durupinar, and Uğur Güdükbay.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans doi:10.21437/Interspeech.2019-1873 Sinan Sonlu, Bennie Bendiksen, Funda Durupinar, and Uğur Güdükbay

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:45.791020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.791020Z digest=sha256:000863ef19e3a732031f89388be2f29e52e8f5c83decd717e3a199bf063c82c6

Observation dcf768fa-7f89-4c03-8d69-2080d8f6368c · outbound

This paper cites The Effects of Embodiment and Personality Expression on Learning in LLM-based Educational Agents.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans The Effects of Embodiment and Personality Expression on Learning in LLM-based Educational Agents

Reference 14

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unresolved
no resolver link, observed 2026-08-07T11:56:45.794872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.794872Z digest=sha256:bb690ff42a3f6758d7343e065f08aa5dde384035527c63b7366412eece1683e2

Observation 1232d27d-cbe2-4726-96e2-0e190ccd698d · outbound

This paper cites ACM Transactions on Graphics (TOG) 41, 4 (2022), 1–10.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans ACM Transactions on Graphics (TOG) 41, 4 (2022), 1–10

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.000044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b6378a92-6020-4b06-a6d2-7745f607c436 · outbound

This paper cites Human Motion Diffusion Model.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans Human Motion Diffusion Model

Reference 16

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unresolved
no resolver link, observed 2026-08-07T11:56:45.803138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c99f4ae3-5e2d-4c1e-ad21-28a904ff7d50 · outbound

This paper cites In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’24).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’24)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:45.808021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.808021Z digest=sha256:1a0e6dc67d2d7201bf737b53faacdb9a967d679c688ab5411507454e8109ac21

Observation d8660f03-45d8-479b-a8a8-5344f7ad572d · outbound

This paper cites MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model

Reference 18

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metadata mismatch
local_arxiv, observed 2026-08-07T11:56:45.911564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7d9ed03d-5b26-4c5d-81c9-3bd0e605c145 · outbound

This paper cites ACM Transactions on Graphics 41, 6 (Dec.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans ACM Transactions on Graphics 41, 6 (Dec

Reference 21

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unresolved
no resolver link, observed 2026-08-07T11:56:45.824985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a44b906-6d23-451e-863e-a558056903c2 · outbound

This paper cites In 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 22

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unresolved
no resolver link, observed 2026-08-07T11:56:45.828816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 117b7333-b508-4319-bf99-43834fe38931 · outbound

This paper cites IEEE Transactions on Multimedia 24 (2021), 1909–1921.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans IEEE Transactions on Multimedia 24 (2021), 1909–1921

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 2026-08-07T06:34:17.273281+00:00.

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Observation b4f2e015-acb8-4634-8cd4-caeb00938efc · outbound

This paper cites In Computer Vision – ECCV 2024, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol (Eds.).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In Computer Vision – ECCV 2024, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, and Gül Varol (Eds.)

Reference 24

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.836932Z digest=sha256:e991711bf213df7199f7e0d993d908fe28b4d83b92d34b0ae9fa1170e55eeff1

Observation ca3ee4c0-fd94-4b23-bdb9-8374e32d4164 · outbound

This paper cites https://proceedings.neurips.cc/paper/2017/hash/8a1d694707eb0fefe65871369074926d-Abstract.html Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans https://proceedings.neurips.cc/paper/2017/hash/8a1d694707eb0fefe65871369074926d-Abstract.html Daniel Holden, Oussama Kanoun, Maksym Perepichka, and Tiberiu Popa

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.481646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.766869Z digest=sha256:564b05d57af4f8b082b43edeecea1fdbd81fbede3e3cb0e68f96fa1d8fe79d93

Observation 386cddda-2b40-4a94-9879-26f4577fc1f6 · outbound

This paper cites an unresolved cited work.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-07T11:56:47.182819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.782880Z digest=sha256:502942a4221855b7666b02021eb714bc2692ba620e60240bdaefa25da9dc4e70

Observation b9bd8862-810c-4247-a6a0-58a7305870ce · outbound

This paper cites In 2010 22nd International Teletraffic Congress (LTC 22).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In 2010 22nd International Teletraffic Congress (LTC 22)

Reference 2010

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.311742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.778942Z digest=sha256:79e17d389a0045aec1e9067ad4d5f83605de40fbe5d7bbe81a47cd41ce6bdb57

Observation 3bbed911-791d-4324-a0ef-4b932f506801 · outbound

This paper cites GDC 2016 Presentation (2016).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans GDC 2016 Presentation (2016)

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.966077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cff48925-7032-4122-ad89-6f45143f7bc7 · outbound

This paper cites In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.786896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.753914Z digest=sha256:fb72274b15c9150eaa38ff017cb44d3bbc68a73ee9df2989e2eddd8840df7f08

Observation ea1d028c-d279-4b5b-9834-ce97f44a0e66 · outbound

This paper cites ACM Trans.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans ACM Trans

Reference 2020

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72501cd8-20ee-4ff9-9619-f33948548c30 · outbound

This paper cites ACM Transactions on Graphics 40, 4 (Aug.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans ACM Transactions on Graphics 40, 4 (Aug

Reference 2021

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unresolved
no resolver link, observed 2026-08-07T11:56:45.744084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.744084Z digest=sha256:82e063725a14d5fedec51429a8364e03124e469482730ac3ad347eb1a920a942

Observation 2e96230b-2ac9-43e5-9fe1-08c9827133d4 · outbound

This paper cites Nature Reviews Methods Primers 2, 1 (2022),.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans Nature Reviews Methods Primers 2, 1 (2022),

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:47.644034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:56:45.758386Z digest=sha256:392ceb8ee7b10677ab390c72c8c836745ece6ffc065b927f886f50f914b609e2

Observation 40ff009d-4489-4e61-acb6-9c2be0f0933e · outbound

This paper cites In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:45.739259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.739259Z digest=sha256:39d44298aa661a2ee1b4df519cd31cd8dfc78ed2a64bbb3e6a9d181b3d0fdee9

Observation faac8ddb-9869-4773-bd44-785890e9ffd4 · outbound

This paper cites MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space.

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space

Reference 2025

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unresolved
no resolver link, observed 2026-08-07T11:56:45.816432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.816432Z digest=sha256:c7d38b90885a87069f351d5322581430aeb23de4ba5ef07935b4eb071642e11c

Pith citing papers

No inbound Pith citation observations are available.