Paper Citation Record · LEDGER

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing

As of 10 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.

pith.paper-citation-record.v1
2507.19850 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:03:03.903769Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:08:06.676197Z

measured 0 of 1 external citation measurements

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

verified exact0
verified fuzzy34
unresolved12
parse uncertain1
malformed identifier0
metadata mismatch0

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.989032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.975112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.961409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.947119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.933051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.918502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.904119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.888782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:00.467913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.872670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.856475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.839035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.796583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:00.910248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.537911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:08.165972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:07.882962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:01.118478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: unresolved; no resolver link, observed 2026-08-06T14:03:01.223067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:07.319116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:07.185798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.974344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:01.609376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:01.745330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:01.904759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.805436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:02.118754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.614296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: unresolved; no resolver link, observed 2026-08-06T14:03:02.359054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.467456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.302068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.177638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: unresolved; no resolver link, observed 2026-08-06T14:03:02.870849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:06.069977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:05.990055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:05.851296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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; raw_fallback, observed 2026-08-06T14:03:05.708298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bec6e37-d4f7-4bf5-853f-aac9a6d7906c · outbound

This paper cites 9 and 10.

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing 9 and 10

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:05.534798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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; raw_fallback, observed 2026-08-06T14:03:05.345759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T14:03:05.188164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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; raw_fallback, observed 2026-08-06T14:03:05.016841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:03:04.879140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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: unresolved; raw_fallback, observed 2026-08-06T14:03:04.557710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.