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Paper Citation Record · LEDGER

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction

As of 15 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2507.06590.

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

pith.paper-citation-record.v1
2507.06590 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:17.605587Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

67 of 67 outbound references displayed

  • verified exact4
  • verified fuzzy57
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7a20916-db73-465e-b05a-8f8024452bca · outbound

This paper cites Surface motion capture animation synthe- sis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Surface motion capture animation synthe- sis,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 989ead4a-b701-49ca-a33f-0fec9379d60c · outbound

This paper cites Adaptive score alignment learning for continual perceptual quality assessment of 360-degree videos in virtual reality,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Adaptive score alignment learning for continual perceptual quality assessment of 360-degree videos in virtual reality,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.748901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2db31901-9e63-4667-bfff-15b9784b8178 · outbound

This paper cites Two-character motion analysis and synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Two-character motion analysis and synthesis,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf35708c-4283-48c3-ae25-5c654fc382e3 · outbound

This paper cites Hierarchical graph convo- lutional networks for action quality assessment,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Hierarchical graph convo- lutional networks for action quality assessment,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.729957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.272983Z digest=sha256:24570146e8f91153b498d12931eea75c4985a3697484f20de84f9274f33e98ac

Observation ba509069-8f57-4bbb-899e-a7ee71f88322 · outbound

This paper cites Combining recurrent neural networks and adversarial training for human motion synthesis and control,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Combining recurrent neural networks and adversarial training for human motion synthesis and control,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.720482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.367394Z digest=sha256:023f66cc1f91387ff1ea89ce6b76bb2e798b59a47296b4aa55121458f067f4a2

Observation 4a49d6cf-48ab-448e-ae36-6370bf421c07 · outbound

This paper cites Multi-task spatial- temporal graph auto-encoder for hand motion denoising,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Multi-task spatial- temporal graph auto-encoder for hand motion denoising,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.710887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.402658Z digest=sha256:bca05314e856cbabb93133e63578b35cf2f3d29647128b6103a871d2df7ea665

Observation bfc4c8fa-c73c-477f-a3c2-8fb74499012e · outbound

This paper cites Temporally guided music-to-body-movement generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Temporally guided music-to-body-movement generation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.700778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.494016Z digest=sha256:a7e2e7c037d68eb888a18dd5df8118a179382504ceb4d3f338de57bfc215ed33

Observation eda54066-0f6c-4ec9-ac90-9c4efc9b0a2b · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Ai choreographer: Music conditioned 3d dance generation with aist++,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.691613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.573804Z digest=sha256:361a8b0a4af07b8be5a8df88280aa4a0d7e9ece0ae85f1625699f6869d0b073a

Observation 12349d5a-7c6f-40c2-8fcc-d8d8d3583948 · outbound

This paper cites Self-supervised dance video synthesis conditioned on music,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Self-supervised dance video synthesis conditioned on music,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.681103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.659462Z digest=sha256:f58adcb2177f2386d46822b493e8d7216b6ea47e2c72a2f7dff3af5f351f3477

Observation 9b121207-fa5a-440f-a0fa-9ea53d94c78a · outbound

This paper cites Deepphase: Periodic autoencoders for learning motion phase manifolds,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Deepphase: Periodic autoencoders for learning motion phase manifolds,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.670930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.745885Z digest=sha256:ceaf4f590b0a5e48022eca4a59231061e6a68675620b54d8e918d338e7d64e59

Observation f3e9f655-2f7e-40ab-baa3-e67580f2e3e9 · outbound

This paper cites Edge: Editable dance generation from music,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Edge: Editable dance generation from music,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.661127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.818284Z digest=sha256:5c6fa93a806702a66d57420b8f4145e81db3536633f710c230d2131bd1da0905

Observation d51e72a8-0353-4d66-9480-c3a54fbf1124 · outbound

This paper cites Rhythm is a dancer: Music-driven motion syn- thesis with global structure,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Rhythm is a dancer: Music-driven motion syn- thesis with global structure,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.652071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.910346Z digest=sha256:c6d24efe50346f7423b2fa030d6e204828f860e9c2e6f9d13e34b70e2805ee68

Observation c89d02d7-65b1-4496-8ac7-ec7f6c4891e8 · outbound

This paper cites Example-based automatic music-driven conventional dance motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Example-based automatic music-driven conventional dance motion synthesis,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.642128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:11.966936Z digest=sha256:6752e7b0d32cf9b881a3db143f568964949ebbada36ce65d5529d03cdc2a9b9a

Observation 3047e9d6-b12d-43ad-8837-de9a65d88c59 · outbound

This paper cites Action2motion: Conditioned generation of 3d human motions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action2motion: Conditioned generation of 3d human motions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.632246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.089034Z digest=sha256:943aafa4524502bb736ff78dd697ee0e89b4748d30b5afa2de04524484ece057

Observation 6c5988ee-8ae5-40f7-80a5-e0c7c1ae6c54 · outbound

This paper cites Action-conditioned 3d human motion synthesis with transformer vae,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action-conditioned 3d human motion synthesis with transformer vae,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.622630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.215934Z digest=sha256:2b9796aff010bf18e68bc7cde2fe82476543c22325b01b80ba7b51ab6d95f397

Observation 905f2cac-4a89-472b-a7f8-f273c8c95987 · outbound

This paper cites Implicit neural rep- resentations for variable length human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Implicit neural rep- resentations for variable length human motion generation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.613066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.338432Z digest=sha256:88c05aab979a45c6b8aa698be96e526b7baf4df168bf03351e25c4467dab7f61

Observation 2955bf3c-d855-497d-9985-66c2824ba61c · outbound

This paper cites Action2video: Generating videos of human 3d actions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action2video: Generating videos of human 3d actions,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.600965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.466698Z digest=sha256:6ef88637ba1d2f75f62fb0fcc32e0e32b64da9d4ee0b50287ea01028b5d997e7

Observation b3f56236-41b6-4d95-b46f-9fc919e69a43 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Guided motion diffusion for controllable human motion synthesis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.589774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.595553Z digest=sha256:020675b2e78b79e46b0e4367bd171dac5e9c36c5940f8d1c980bfa082c0a4829

Observation cfdfd965-ddf3-4213-857e-d1bbca967cef · outbound

This paper cites TLControl: Trajectory and Language Control for Human Motion Synthesis.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TLControl: Trajectory and Language Control for Human Motion Synthesis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:12.700317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:12.700317Z digest=sha256:7099f4286a9ac2609bc788551a31828168140d957827972c6f283d49c7dee5ff

Observation 4a308fec-cf61-4d37-bb9e-b55a914adac6 · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human Motion Diffusion as a Generative Prior

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:12.822597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:12.822597Z digest=sha256:d925650e55f9c56a8c34d6912a09ef9927a9f02fe6f31f6ce75bb0b082f025d9

Observation 7ddd2aa0-52c1-40a0-87e3-bbfb8ab27c33 · outbound

This paper cites Generating diverse and natural 3d human motions from text,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating diverse and natural 3d human motions from text,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.577862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:12.976966Z digest=sha256:0f250f314389656eaffddc22e31a3f5338e508c7c8b68a994e9a986433e12bd7

Observation 459bfc4b-6787-4e80-83d5-14ace21c966f · outbound

This paper cites Temos: Generating diverse human motions from textual descriptions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Temos: Generating diverse human motions from textual descriptions,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.566466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:13.129269Z digest=sha256:b862575a3c2b0f644a9c318cc8f25c8adca1f3e203efa2e967946d5bb03c0b41

Observation 812fcb1b-e5ee-4816-8ace-b63c9271e1fa · outbound

This paper cites Human motion diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human motion diffusion model,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.556409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:13.312685Z digest=sha256:076896ab41264cc2a2022fc7e04485af17af979a885ef69809fc66812ca78cc3

Observation 2ce66227-71d5-4717-b4c4-bc33b02dddf3 · outbound

This paper cites Executing your commands via motion diffusion in latent space,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Executing your commands via motion diffusion in latent space,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.546172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:13.487879Z digest=sha256:8782913b5c4c9b71af754b19a1fdb54300af88e6d28c0a5262be7fd520f178e0

Observation d9e15e84-6a23-463c-a334-519942a7f9d5 · outbound

This paper cites Mo- tiondiffuse: Text-driven human motion generation with diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Mo- tiondiffuse: Text-driven human motion generation with diffusion model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.534073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:13.663363Z digest=sha256:a67b1f649484cca2a1b1625115970c0637b2448fe19faefe40f1b2add5ad9274

Observation 03f0ff3b-83fd-4ea0-bad5-371e3b4b7870 · outbound

This paper cites A two-part transformer network for controllable motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction A two-part transformer network for controllable motion synthesis,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.524141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:13.861972Z digest=sha256:f0ec5ead6cc0b5e29a254686b46a8c9e95f2aa7938aaf1cef8033cc77c5d9a4a

Observation 79b3a158-ef91-4d24-b579-2de74e9cd714 · outbound

This paper cites Generating animated videos of human activities from natural language descriptions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating animated videos of human activities from natural language descriptions,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.513074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.064407Z digest=sha256:f4a43720e4179b6fec222b1b41e9daa4edb698d306c40343a78d8977116c4eb2

Observation 81b94fb2-2fe7-4cc4-91ee-82947c68a9f5 · outbound

This paper cites Language2pose: Natural language grounded pose forecasting,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Language2pose: Natural language grounded pose forecasting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.502831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.312204Z digest=sha256:d638c8231f9ee229bb575fbc7285de7af2e8d304d9e63ba10d845a813fdf1d6e

Observation 30d94ee8-48d9-4f6f-9f12-e56174e14ed0 · outbound

This paper cites Synthesis of compositional animations from textual descriptions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Synthesis of compositional animations from textual descriptions,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.492278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.529872Z digest=sha256:5918ba33e91aebd38ae43c6f85b6152126e569a76c5b9cd8cfcb2e6b380230a2

Observation cffd4cc2-9f95-4c36-9894-85ce87ce5b29 · outbound

This paper cites Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.481263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.667842Z digest=sha256:0ddcc5a8d0b595520e67b3f3b53d6a14c950a1feb05c65627886d1d6d70c71dc

Observation 0a4fbdcd-8001-4a30-af6b-6f80629f6ef5 · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.470565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.757232Z digest=sha256:0cb7abc5abe723aa1a5ebd93612f3bae8b35569a5d599e28004d47f9273e821f

Observation 5c8891ef-98e6-400a-9522-84f5a66999b2 · outbound

This paper cites MoMask: Generative Masked Modeling of 3D Human Motions.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction MoMask: Generative Masked Modeling of 3D Human Motions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:14.872481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:14.872481Z digest=sha256:0c3f2e0f347febcfcc8af2327d7f0796448c9c49f2bc52df5ab2cddd0ee7bbc0

Observation 0b83869b-b0c4-43f3-a883-65b1c71eb2dc · outbound

This paper cites Generating human motion from textual descriptions with discrete representations,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating human motion from textual descriptions with discrete representations,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.459707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:14.957867Z digest=sha256:14a4d3fec9370a9ecd318dad9770824fbaca754f131ee165420ebb862b45e5f4

Observation 00155982-36a2-4696-b483-99fba34f62cd · outbound

This paper cites Tm2d: Bimodality driven 3d dance generation via music-text integration,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Tm2d: Bimodality driven 3d dance generation via music-text integration,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.448532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.014882Z digest=sha256:b17f60bd61a80bc6fc46eb0dcb0aa6c4a68a38a90dda4b525a8f07bd4c36bc1e

Observation aa26e5b6-907e-4434-b383-850aad09de10 · outbound

This paper cites Motiongpt: Human motion as a foreign language,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Motiongpt: Human motion as a foreign language,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.436418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.102847Z digest=sha256:c8d5a873c5cf6e06e35840aa829a8b86652dd363ce2db8a3b608b353eac54f5a

Observation a53a58dd-722f-4265-a70e-63a46b52c6e4 · outbound

This paper cites Fg-t2m: Fine- grained text-driven human motion generation via diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fg-t2m: Fine- grained text-driven human motion generation via diffusion model,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.424329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.201528Z digest=sha256:88f5ca2e182c21bbf1e759e764310d2145ee1cddfff077766c61ede8c67a3f33

Observation c32ee190-3a31-4fdb-be21-3cbf0f6f438f · outbound

This paper cites Human motion diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human motion diffusion model,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.414309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.271245Z digest=sha256:9b32af413551b55983cec4dee54030277071ac258db1ef0850971c6886833266

Observation 34013278-2e9d-4cc9-b670-b0e60c21d151 · outbound

This paper cites Flame: Free-form language-based motion synthesis&editing,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Flame: Free-form language-based motion synthesis&editing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.403638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.382608Z digest=sha256:eca67db30ee875f3ba8ce5a929cb28f4e0eb5b8b6e3d39f0cfce16edc708df77

Observation 4d7f26d8-1651-4740-969d-ac6859a7ce55 · outbound

This paper cites Guess: Gradually enriching synthesis for text-driven human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Guess: Gradually enriching synthesis for text-driven human motion generation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.391969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.466621Z digest=sha256:fc3321f81f40d81c0e4bba416dba69d6ee34747c97657a204ceb448f40e03756

Observation 8bc565f4-1bd0-4dd0-9820-45f703bfe01a · outbound

This paper cites ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:15.554689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:15.554689Z digest=sha256:6b104a22a1b532b8fb4ff3cbd8669cf23c763846d4c2a8d9de923ac9788d6693

Observation 845a39eb-a8a4-49dc-95f2-26ababc4d37a · outbound

This paper cites The kit motion-language dataset,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction The kit motion-language dataset,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.216750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.665731Z digest=sha256:6734a6b703d5a3c4a15806db3ff5de5e48cea348460948b60cecd83b28d5e4a9

Observation c0a9ab5b-fc46-48df-8f14-d329907d9277 · outbound

This paper cites Attt2m: Text-driven hu- man motion generation with multi-perspective attention mechanism,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Attt2m: Text-driven hu- man motion generation with multi-perspective attention mechanism,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.090613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.756167Z digest=sha256:a63a193737eb23e1e34c348e00681ed80b7458b4b5f4971fe79b4711dc913c2a

Observation 055f5fa3-5f19-4b89-a492-68e73ae5102a · outbound

This paper cites MMM: Generative Masked Motion Model.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction MMM: Generative Masked Motion Model

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.715917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.847604Z digest=sha256:c9a821e84068b8eca4d393919b3d967105682888d0e443df5a72201a441fafc8

Observation a4e9c966-4bcd-4944-b874-7a483f1cdcbe · outbound

This paper cites Moconvq: Uni- fied physics-based motion control via scalable discrete representations,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Moconvq: Uni- fied physics-based motion control via scalable discrete representations,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.984295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:15.969431Z digest=sha256:959d748732e0c526434d9d3f510814954e91ae649279a769ab7b098179b5bd26

Observation b243e724-8277-4e80-93f9-753598e74f61 · outbound

This paper cites Ase: Large- scale reusable adversarial skill embeddings for physically simulated characters,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Ase: Large- scale reusable adversarial skill embeddings for physically simulated characters,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.967875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.055440Z digest=sha256:ddf23eddf079d1d0fff3e4ddeeda027b8e8e8427997893ac75cc4aefa316f3ab

Observation 6d24086d-83a4-4ddf-bbcf-9c0a31518d10 · outbound

This paper cites Physdiff: Physics- guided human motion diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Physdiff: Physics- guided human motion diffusion model,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.955358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.121121Z digest=sha256:bba2de920830275498821bccbb1ae14145cf4414358d1345c2c2b7a2a76cd954

Observation 62d35948-5884-4b99-9db5-ac013c4f16ac · outbound

This paper cites Posescript: Linking 3d human poses and natural language,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Posescript: Linking 3d human poses and natural language,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.943978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.207010Z digest=sha256:0d7b94ad0cad2dcb2d106160e946ae1ac63f2dbdbddc8ddbefbd343fadf80565

Observation 1d66729d-b5be-4962-b006-beb616118d49 · outbound

This paper cites CoMo: Controllable Motion Generation through Language Guided Pose Code Editing.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.702272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.269616Z digest=sha256:6bef6529b0e73b36745bf53c7b5252436cb3db590604fda86f73d7b2dcdf58a3

Observation 1241cb61-694b-455c-82fd-f80a4eab5455 · outbound

This paper cites Fg-t2m++: Llms-augmented fine-grained text driven human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fg-t2m++: Llms-augmented fine-grained text driven human motion generation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.928491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.347230Z digest=sha256:9f648290cc98300a9350a442c04dc1a0529a17d21fb12ea420f1b9bdef03ce25

Observation 56fbe260-2da6-4d82-8cf6-c244db4d3ba7 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction High- resolution image synthesis with latent diffusion models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.914079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.421532Z digest=sha256:123091a49b03dc564e46563fc3288e5d929167bf3c88f40aeb78a41817a2870a

Observation aefecad9-0e9f-42fb-ba65-deb36f6a3680 · outbound

This paper cites Text-to-motion retrieval: Towards joint understanding of human motion data and natural language,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Text-to-motion retrieval: Towards joint understanding of human motion data and natural language,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.903135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.498594Z digest=sha256:9b46723e333bb0405c99d09e7eba9c9f43e38b683544b75e2d1fa8d47c8eaab2

Observation 3baa55f0-78cb-4764-b955-e175319255f3 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Learning transferable visual models from natural language supervision,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.889886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.591242Z digest=sha256:c4e61bf9a88bc134cd98d2db26a3efade4517299ed577ba9809340a1e1c11a4a

Observation ecdb8c73-efe0-4009-a52e-e80895690647 · outbound

This paper cites Attention is all you need,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Attention is all you need,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.873879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.710754Z digest=sha256:6642c30976b954e8d585ec701f509f0b7af0a7f8dca6cbd24e3c312e26cd0782

Observation 428a3448-992a-4d3d-9319-d062f654bc37 · outbound

This paper cites TMR: Text-to-motion re- trieval using contrastive 3D human motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TMR: Text-to-motion re- trieval using contrastive 3D human motion synthesis,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.862185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.783339Z digest=sha256:1c2f40c32832a4f13dd5cdee95827103e66c2c6dabb6a1c830939fd97221560a

Observation d3f87205-782d-404c-8930-da7a0843bacc · outbound

This paper cites Fine-grained semantically aligned vision-language pre- training,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fine-grained semantically aligned vision-language pre- training,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.849199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.796067Z digest=sha256:0c2eec4fbb1d0bce1d32ab191f2c2488c828ead22df42cd156b9fbd44119da14

Observation 0042f53a-d7ec-4815-9d60-bf49c50a2c53 · outbound

This paper cites Random shap- ley forests: cooperative game-based random forests with consistency,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Random shap- ley forests: cooperative game-based random forests with consistency,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.836973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.873276Z digest=sha256:d07f7486bfad8168081e786e69826284c3fec57821faf2188ed32e9b6cf77880

Observation f880c27c-27bd-4832-9f51-5ffb06b0122e · outbound

This paper cites TG-VQA: Ternary Game of Video Question Answering.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TG-VQA: Ternary Game of Video Question Answering

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.688234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:16.974524Z digest=sha256:e96c53a738310eda73dd8da1cbc89b152779c1a7541ce6086ee1aa7442a4b09d

Observation 2a43ced9-e990-4c8c-bc27-4083c869b55f · outbound

This paper cites Weighted banzhaf power and inter- action indexes through weighted approximations of games,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Weighted banzhaf power and inter- action indexes through weighted approximations of games,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.827384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.084340Z digest=sha256:10b0de2c4331eb1f00a47facc5546de548f6d847fdb40b351be6a808298856ab

Observation ae19982a-ab71-498a-9aeb-6431fa57444b · outbound

This paper cites Video-text as game players: Hierarchical banzhaf interaction for cross- modal representation learning,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Video-text as game players: Hierarchical banzhaf interaction for cross- modal representation learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.816932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.209160Z digest=sha256:37ef22953676f230d0f7556dba157363587104ebd36094b686db25e8194cd441

Observation 58dbcbc6-cc10-4f25-bf97-650d404c0aed · outbound

This paper cites An axiomatic approach to the concept of interaction among players in cooperative games,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction An axiomatic approach to the concept of interaction among players in cooperative games,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.806647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.363449Z digest=sha256:c3decb4c71602fa29ab92d3905d76d009da5bc0286b40010bce84f6bccd6893f

Observation 7573f23f-9cd8-4b31-a928-c4dcda7d8944 · outbound

This paper cites Denoising diffusion probabilistic models,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Denoising diffusion probabilistic models,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.797084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.516014Z digest=sha256:8a47970f721d6ecfc6fee01c0745ba6e83d9bba84cd0cdc6ff39c10a202a8251

Observation b185ea9e-390e-4ab8-9f77-09ffe117ec18 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Representation Learning with Contrastive Predictive Coding

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:17.587570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:17.587570Z digest=sha256:1d03e97f05057aae68337ca606e49cf7ee793330218a873e7f449949214cb9e2

Observation 316c5d5d-1418-4c78-962a-65306ef9c8d5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Classifier-Free Diffusion Guidance

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:17.591745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:17.591745Z digest=sha256:27469709920ddfe0d1fb7d6aee0f3542c2f551cabfcd9c6c385f10bd1b70ed5c

Observation c0a0af57-b7f5-478c-99b7-edf5c8dc5bc1 · outbound

This paper cites Efficient attention: Attention with linear complexities,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Efficient attention: Attention with linear complexities,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.787224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.595479Z digest=sha256:578c16d536309e8b9cc803ee8ccb91e38ca2f7a2306942793240f29f00dbc5d7

Observation 14a29102-65e0-460b-9132-4c08196fd576 · outbound

This paper cites Amass: Archive of motion capture as surface shapes,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Amass: Archive of motion capture as surface shapes,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.777364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.599083Z digest=sha256:dc55b8fe2e9c645bead93c25e2a8925aa27748258e7cb52cfd69faebf0d2bdb4

Observation 56ec4982-1186-4300-bebd-055c22bf0d29 · outbound

This paper cites Finemogen: Fine-grained spatio-temporal motion generation and editing,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Finemogen: Fine-grained spatio-temporal motion generation and editing,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.767147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.602314Z digest=sha256:15c25738a5e8055195462464ef848058cc34e1381fc4759181b51c849330c333

Observation ca5481eb-bacb-49ec-bf30-869238a627ac · outbound

This paper cites AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.648713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:05:17.605587Z digest=sha256:0f436af5010caf686a244b3ebda37d9f67401a26c6ff7eca8e178bd4e30179b2

Pith citing papers

No inbound Pith citation observations are available.