Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:03:03.903769Z
Paper Citation Record · LEDGER
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2507.19850.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:08:06.676197Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T13:47:57.521926Z
Reference resolution
47 of 47 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b1aa249a-c89a-4327-ace0-3e89fddc566c · outbound
This paper cites Sinc: Spatial composition of 3d human motions for simultaneous action generation supplementary material.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Sinc: Spatial composition of 3d human motions for simultaneous action generation supplementary material
Reference 1
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Observation 3b3cd341-549c-46e1-85ae-1121f0ae21ba · outbound
This paper cites Posescript: 3d human poses from natural language.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Posescript: 3d human poses from natural language
Reference 2
- Resolution
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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.
Observation 4a9f523f-8590-4b48-8751-93f9d961fb5d · outbound
This paper cites Posefix: Correcting 3d hu- man poses with natural language.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Posefix: Correcting 3d hu- man poses with natural language
Reference 3
- Resolution
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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.
Observation 57d2267d-e2df-4de2-9547-81a0940ab4c6 · outbound
This paper cites https://www.grammarly.com.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing https://www.grammarly.com
Reference 4
- Resolution
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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.
Observation 4ab8f3f7-20d5-4f2a-a4b9-ac55cc8ae384 · outbound
This paper cites Ac- tion2motion: Conditioned generation of 3d human motions.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Ac- tion2motion: Conditioned generation of 3d human motions
Reference 5
- Resolution
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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.
Observation 159a3a8a-ff06-4a23-96a6-cc9d897b7365 · outbound
This paper cites Generating diverse and natural 3d human motions from text.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Generating diverse and natural 3d human motions from text
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 66d3f693-bd5f-4e7f-aa44-93bd432f7eec · outbound
This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts
Reference 7
- Resolution
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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.
Observation f136fbc2-7a7b-4ef5-9830-e3605064f659 · outbound
This paper cites Momask: Generative masked model- ing of 3d human motions.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Momask: Generative masked model- ing of 3d human motions
Reference 8
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Source-reported events for the cited work
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Observation 0bcf694c-6527-41f8-8b92-134056b67200 · outbound
This paper cites SemanticBoost: Elevating Motion Generation with Augmented Textual Cues.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing SemanticBoost: Elevating Motion Generation with Augmented Textual Cues
Reference 9
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Source-reported events for the cited work
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Observation 77055eb9-2e15-4164-bb7b-4e6f5e3a168b · outbound
This paper cites Motiongpt: Human motion as a foreign language.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Motiongpt: Human motion as a foreign language
Reference 10
- Resolution
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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.
Observation a9130912-39e5-43fe-b76f-a60d7574a083 · outbound
This paper cites Action-gpt: Leveraging large-scale language models for improved and generalized action gen- eration.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Action-gpt: Leveraging large-scale language models for improved and generalized action gen- eration
Reference 11
- Resolution
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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.
Observation 7f57d9bc-a692-42fa-afb2-5a13e089910c · outbound
This paper cites Flame: Free- form language-based motion synthesis & editing.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Flame: Free- form language-based motion synthesis & editing
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 3926c348-8b61-4fa9-9924-037b0e106032 · outbound
This paper cites Dance- former: Music conditioned 3d dance generation with para- metric motion transformer.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Dance- former: Music conditioned 3d dance generation with para- metric motion transformer
Reference 13
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Source-reported events for the cited work
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Observation 90b852a6-1f6e-46ea-8809-9d32500ca27f · outbound
This paper cites Exploring Multi-Modal Control in Music-Driven Dance Generation.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Exploring Multi-Modal Control in Music-Driven Dance Generation
Reference 14
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Source-reported events for the cited work
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Observation 0e298b33-6ea8-40bc-b0da-63cd7a62c30d · outbound
This paper cites Smpl: A skinned multi- person linear model.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Smpl: A skinned multi- person linear model
Reference 15
- Resolution
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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.
Observation c4c6ea66-a84b-4576-a70d-04bdf813e8d7 · outbound
This paper cites Amass: Archive of motion capture as surface shapes.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Amass: Archive of motion capture as surface shapes
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 2e8fef04-c274-4fc6-b9ea-e3b4029f81e7 · outbound
This paper cites Action- conditioned 3d human motion synthesis with transformer vae.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Action- conditioned 3d human motion synthesis with transformer vae
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation b8dca4d8-5a53-4a05-bff7-683861857d38 · outbound
This paper cites Temos: Generating diverse human motions from textual descriptions.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Temos: Generating diverse human motions from textual descriptions
Reference 18
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Observation 9cb210cd-0827-492c-a317-1cc89e6b0191 · outbound
This paper cites The kit motion-language dataset.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing The kit motion-language dataset
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 049cc3ff-0204-49a6-8582-b0b9c5130d12 · outbound
This paper cites Modi: Un- conditional motion synthesis from diverse data.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Modi: Un- conditional motion synthesis from diverse data
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 939d2f9b-d0bf-403f-87d5-6708c63fb9aa · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Learning transferable visual models from natural language supervi- sion
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 54719c5b-6be9-4670-8d44-04ec64b70224 · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 6e339890-6e23-4954-bcf8-4cef1374ae69 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Gemini: A Family of Highly Capable Multimodal Models
Reference 23
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Source-reported events for the cited work
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Observation 33e741eb-bf94-47aa-b708-f08a15eee562 · outbound
This paper cites Motionclip: Exposing human motion generation to clip space.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Motionclip: Exposing human motion generation to clip space
Reference 24
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Source-reported events for the cited work
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Observation 81398c11-8928-49a8-9d1e-3e654c2b1e9c · outbound
This paper cites Human Motion Diffusion Model.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Human Motion Diffusion Model
Reference 25
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Observation eadb7ecc-65da-4374-b2ed-c8815f7c15e8 · outbound
This paper cites Edge: Editable dance generation from music.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Edge: Editable dance generation from music
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation cbd700f5-59ab-4b57-8e1c-2d6919dab81b · outbound
This paper cites Neural discrete representation learning.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Neural discrete representation learning
Reference 27
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Source-reported events for the cited work
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Observation 5822ef97-1e0f-4a73-a420-16b944ec469b · outbound
This paper cites Fg-t2m: Fine-grained text-driven human motion generation via diffusion model.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Fg-t2m: Fine-grained text-driven human motion generation via diffusion model
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation fe9ae33c-94e2-45c7-9b2b-f893aeca1919 · outbound
This paper cites Motionscript: Natural language descriptions for expressive 3d human motions.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Motionscript: Natural language descriptions for expressive 3d human motions
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 66d33c9f-eb12-4b01-b56c-8b1dd7ffd9d8 · outbound
This paper cites Generating human motion from textual descrip- tions with discrete representations.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Generating human motion from textual descrip- tions with discrete representations
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 5110fd30-3132-49a7-bb4d-bca169603f5f · outbound
This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Motiondif- fuse: Text-driven human motion generation with diffusion model
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation a58ff25d-200d-4698-b21a-0bffcfdac259 · outbound
This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Finemogen: Fine-grained spatio- temporal motion generation and editing
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 58a57cc7-3096-4082-824f-1e2057fd418e · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing BERTScore: Evaluating Text Generation with BERT
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation f136c010-ab62-489c-a747-9eb319b9a155 · outbound
This paper cites Mo- tiongpt: Finetuned llms are general-purpose motion genera- tors.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Mo- tiongpt: Finetuned llms are general-purpose motion genera- tors
Reference 34
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Source-reported events for the cited work
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Observation a0da3cdd-b3ca-45a7-b664-6688cf08a408 · outbound
This paper cites The textual descriptions in our FineMotion dataset are under the CC BY 4.0 International license.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing The textual descriptions in our FineMotion dataset are under the CC BY 4.0 International license
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 08331da1-09c4-40ca-9458-c564a0ca1611 · outbound
This paper cites As shown in Fig.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing As shown in Fig
Reference 37
- Resolution
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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.
Observation 47333990-fcde-4cc2-bc59-757cd37cbd51 · outbound
This paper cites Then, he slightly turns his upper body to the right.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Then, he slightly turns his upper body to the right
Reference 38
- 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.
Observation 1bec6e37-d4f7-4bf5-853f-aac9a6d7906c · outbound
This paper cites 9 and 10.
Reference 39
- 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.
Observation 1e868609-9c7a-4977-97be-f80929d7a793 · outbound
This paper cites • (T&DT)-MDM builds from MDM [25].
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing • (T&DT)-MDM builds from MDM [25]
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 4521e058-4325-4761-aec7-21b43677fb64 · outbound
This paper cites Notably, since we replace the text encoder with that of T5, the dimension of output text embedding turns to 768 rather than that of the CLIP text encoder, 512.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Notably, since we replace the text encoder with that of T5, the dimension of output text embedding turns to 768 rather than that of the CLIP text encoder, 512
Reference 41
- Resolution
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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.
Observation 7cefdcd9-fd96-452f-92ee-a7162b618082 · outbound
This paper cites Fine-grained text captures detailed body part movements and timing, while coarse text supplements global motion semantics, both crucial for pre- cise motion generation.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Fine-grained text captures detailed body part movements and timing, while coarse text supplements global motion semantics, both crucial for pre- cise motion generation
Reference 42
- 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.
Observation d102a668-113b-4b8a-bd1c-b148854a2248 · outbound
This paper cites an unresolved cited work.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Unresolved cited work
Reference 43
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Source-reported events for the cited work
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Observation 53793f8d-8a08-4bb6-9523-ab90ef15a2ca · outbound
This paper cites Specifically, we de- note the strategy of connecting the coarse text (T) and de- tailed text (DT) into a single text and feeding it into the text encoder as ‘TDT’.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Specifically, we de- note the strategy of connecting the coarse text (T) and de- tailed text (DT) into a single text and feeding it into the text encoder as ‘TDT’
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:03:04.709256Z
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.
Observation 0fa536e6-1807-4ad9-847f-bfb5367c94c5 · outbound
This paper cites an unresolved cited work.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Unresolved cited work
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation a074b59b-fa6c-40c8-862c-183fb8dfd4f0 · outbound
This paper cites Consequently, future work will fo- cus on developing effective methods for spatial human mo- tion editing.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Consequently, future work will fo- cus on developing effective methods for spatial human mo- tion editing
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:03:04.381269Z
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.
Observation 6929302f-b980-45b5-931e-c9879741b32e · outbound
This paper cites original text: a person lifts their left wrist towards their face as if to look at a watch editing requirement: Lift your left hand to the head.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing original text: a person lifts their left wrist towards their face as if to look at a watch editing requirement: Lift your left hand to the head
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:03:04.252933Z
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.
Observation 3cc71902-7d4c-4407-a636-fc120c52f656 · outbound
This paper cites an unresolved cited work.
FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing Unresolved cited work
Reference 497
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T14:03:07.633272Z
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.
Pith citing papers
Observation 359566cd-06fc-4c07-9aa3-89c491199c64 · inbound
CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos cites this paper.
CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:47:57.523674Z
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.
Observation a0d07012-881d-4492-9dea-f68c7d7b03a3 · inbound
Interactive Generative Motion Editing via Scheduled Inpainting cites this paper.
Interactive Generative Motion Editing via Scheduled Inpainting FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:08:06.676197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.