Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:18:12.550250Z
Paper Citation Record · LEDGER
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision
As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.01392.
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 2026-08-23T06:30:58.430688+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
45 of 45 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1d8eb615-bb3a-4df3-ba8c-b07aaedb640b · outbound
This paper cites Vivit: A video vision transformer.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Vivit: A video vision transformer
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e3ab1af-bc8b-4f09-ae93-eefb8c2ba092 · outbound
This paper cites Seamless human motion composition with blended posi- tional encodings.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Seamless human motion composition with blended posi- tional encodings
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 729720f7-9dcb-4e37-bb4f-45cc441c4bbc · outbound
This paper cites A cross- dataset study for text-based 3d human motion retrieval.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision A cross- dataset study for text-based 3d human motion retrieval
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:18.350693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3f7840b3-31ac-44ba-a1e3-a313f6891a9d · outbound
This paper cites Is space-time attention all you need for video understanding? InIcml, page 4, 2021.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Is space-time attention all you need for video understanding? InIcml, page 4, 2021
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 110b8fd9-c88c-4d7b-a86f-4d4abafa473c · outbound
This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e1df4d46-a53f-4f95-8e51-83ea6a6c04b6 · outbound
This paper cites Segmo: Segment-aligned text to 3d human motion generation.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Segmo: Segment-aligned text to 3d human motion generation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:17.845673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2d8e775e-2337-449d-bacd-e94edbb17081 · outbound
This paper cites Masked autoencoders as spatiotemporal learners.Advances in neural information processing systems, 35:35946–35958,.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Masked autoencoders as spatiotemporal learners.Advances in neural information processing systems, 35:35946–35958,
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9396af1c-2063-4a0b-af53-c00773747281 · outbound
This paper cites Generating diverse and natural 3d human motions from text.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Generating diverse and natural 3d human motions from text
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:17.689155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a814d231-cf1b-4a36-a09b-b2ee7c0b31b5 · outbound
This paper cites Momask: Generative masked model- ing of 3d human motions.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Momask: Generative masked model- ing of 3d human motions
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:17.448771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 92145b61-a539-4f5f-bc8d-c4f3fe4662e8 · outbound
This paper cites Snapmogen: Human motion generation from expressive texts.arXiv preprint arXiv:2507.09122, 2025.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Snapmogen: Human motion generation from expressive texts.arXiv preprint arXiv:2507.09122, 2025
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd972f82-f165-447b-93fd-bb7817a4e9fc · outbound
This paper cites Amd: Autoregressive motion diffusion.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Amd: Autoregressive motion diffusion
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:17.223219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation da7653cb-97cf-45b6-9b9b-a0f7481e01ed · outbound
This paper cites Como: Controllable motion generation through language guided pose code edit- ing.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Como: Controllable motion generation through language guided pose code edit- ing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:17.019348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4fbfc23a-42ea-4035-9321-2186955508ae · outbound
This paper cites Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e9676649-5f43-4969-8a10-99ff725ef267 · outbound
This paper cites Unimotion: Unifying 3d human motion synthesis and understanding.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Unimotion: Unifying 3d human motion synthesis and understanding
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:16.656878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b6e88d32-1981-45cc-928b-82dd243fa9dd · outbound
This paper cites Frankenmotion: Part-level hu- man motion generation and composition.arXiv preprint arXiv:2601.10909, 2026.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Frankenmotion: Part-level hu- man motion generation and composition.arXiv preprint arXiv:2601.10909, 2026
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0baaaaff-ba9b-4d34-9537-72e342d8d4a2 · outbound
This paper cites Motion-x: A large-scale 3d expressive whole-body human motion dataset.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Motion-x: A large-scale 3d expressive whole-body human motion dataset
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:16.419404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cabcb29f-76bb-468c-98c7-20dadfc5b32b · outbound
This paper cites Multi-granularity Correspondence Learning from Long-term Noisy Videos.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Multi-granularity Correspondence Learning from Long-term Noisy Videos
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc20a501-8fd9-45ba-8940-7ee9aff243e5 · outbound
This paper cites Rethinking diffusion for text-driven human motion generation: Redundant representations, evaluation, and masked autoregression.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Rethinking diffusion for text-driven human motion generation: Redundant representations, evaluation, and masked autoregression
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:16.238937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 424881ac-e4b6-4324-a00e-6e48c5cc6a0d · outbound
This paper cites Proposal-free temporal action detection via global segmen- tation mask learning.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Proposal-free temporal action detection via global segmen- tation mask learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:16.000195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ecee7a8d-abd9-4d16-b5e1-d65c7a3ea633 · outbound
This paper cites Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7fbdb2c5-6e48-471e-97f2-46202e197982 · outbound
This paper cites Now Foun- dations and Trends, 2019.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Now Foun- dations and Trends, 2019
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:15.475588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9a584c9d-c0dd-48e8-a5ec-be2e508a0d10 · outbound
This paper cites Mmm: Generative masked motion model.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Mmm: Generative masked motion model
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:15.162114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b977c382-ccef-4a8b-8949-22bc2cc3fab5 · outbound
This paper cites The kit motion-language dataset.Big data, 4(4):236–252,.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision The kit motion-language dataset.Big data, 4(4):236–252,
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d8d8fc0-93e7-4e91-b1d5-9a10e7a9f51a · outbound
This paper cites Babel: Bodies, action and behavior with english la- bels.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Babel: Bodies, action and behavior with english la- bels
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 89c6b694-6741-4344-9dcb-dafa476b1c7c · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Learning transferable visual models from natural language supervi- sion
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b11f5059-ada5-4929-8cb5-585a11dee210 · outbound
This paper cites an unresolved cited work.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Unresolved cited work
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 232ce928-4530-4ff9-bb09-b7e511c4dfed · outbound
This paper cites Ot-clip: Un- derstanding and generalizing clip via optimal transport.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Ot-clip: Un- derstanding and generalizing clip via optimal transport
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b0e7d07-a54a-420e-9339-8cf55db0588d · outbound
This paper cites OpenAI GPT-5 System Card.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision OpenAI GPT-5 System Card
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation ee65441b-8813-4b88-8777-29ae06394ff9 · outbound
This paper cites Optimal transport on discrete domains.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Optimal transport on discrete domains
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c6481434-0f9e-4afa-9cc2-cdf53114e0fb · outbound
This paper cites CoMA: Compositional Human Motion Generation with Multi-modal Agents.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision CoMA: Compositional Human Motion Generation with Multi-modal Agents
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ca679e8-3bff-47bc-a24a-7f0a4d873767 · outbound
This paper cites Motionclip: Exposing human motion generation to clip space.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Motionclip: Exposing human motion generation to clip space
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:14.464800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fcaeb8bd-9c66-4074-ae86-5bc2543f89f5 · outbound
This paper cites Human Motion Diffusion Model.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Human Motion Diffusion Model
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f702020-fa09-4a3d-a137-91d7442beead · outbound
This paper cites Scaling Large Motion Models with Million-Level Human Motions.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Scaling Large Motion Models with Million-Level Human Motions
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f40afea6-d756-4ab6-bf7a-4babacb90ddc · outbound
This paper cites Mg-motionllm: A unified framework for motion comprehension and gener- ation across multiple granularities.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Mg-motionllm: A unified framework for motion comprehension and gener- ation across multiple granularities
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 65b39cf5-8667-4a57-afbd-b6db884a8c0c · outbound
This paper cites Dense motion captioning.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Dense motion captioning
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f8392932-71c2-4c4c-acea-841098fe600c · outbound
This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision FILIP: Fine-grained Interactive Language-Image Pre-Training
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c779391c-f27a-4d81-80ab-4fbcf11f13e8 · outbound
This paper cites Generating human motion from textual descrip- tions with discrete representations.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Generating human motion from textual descrip- tions with discrete representations
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:13.891286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f3756519-1f9f-4f69-b1dc-2a1634116f49 · outbound
This paper cites Re- modiffuse: Retrieval-augmented motion diffusion model.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Re- modiffuse: Retrieval-augmented motion diffusion model
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b402e152-3973-455d-932c-1835a5056a43 · outbound
This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.Advances in Neural Information Processing Systems, 36:13981–13992, 2023.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Finemogen: Fine-grained spatio- temporal motion generation and editing.Advances in Neural Information Processing Systems, 36:13981–13992, 2023
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:13.726895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c455f42-98d8-4d38-b96b-1abb68d58607 · outbound
This paper cites Pre- training clip against data poisoning with optimal transport- based matching and alignment.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Pre- training clip against data poisoning with optimal transport- based matching and alignment
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:13.640874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0973253c-3618-4620-86b4-6fcc9b32012d · outbound
This paper cites DartControl: A diffusion-based autoregressive motion model for real-time text-driven motion control.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision DartControl: A diffusion-based autoregressive motion model for real-time text-driven motion control
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:13.488133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 79f73070-d566-43e8-923e-878b1e21a7e2 · outbound
This paper cites an unresolved cited work.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T00:18:13.339249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a6f6d641-ed17-44c8-8ab9-3f0f10634fdb · outbound
This paper cites an unresolved cited work.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Unresolved cited work
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1845dedb-1e0b-4bd6-b0ef-58b78ec6c43d · outbound
This paper cites The annotation process involves man- ual segment-level boundary identification: for each action segmentj, human annotators specify the temporal interval [tstart, tend]in seconds.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision The annotation process involves man- ual segment-level boundary identification: for each action segmentj, human annotators specify the temporal interval [tstart, tend]in seconds
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:13.060514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation db1aac17-a015-43c4-a123-5f27eda79b80 · outbound
This paper cites specialized human motion analyst.
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision specialized human motion analyst
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T00:18:12.924197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.