Paper Citation Record · LEDGER

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.13854.

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

pith.paper-citation-record.v1
2605.13854 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T06:20:30.906148Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

43 of 43 outbound references displayed

verified exact3
verified fuzzy38
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be43dc4c-6e16-41fe-a1cc-7390edc721e0 · outbound

This paper cites Dycrowd: Towards dynamic crowd reconstruction from a large-scene video.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Dycrowd: Towards dynamic crowd reconstruction from a large-scene video

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.044751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32354947-6596-4c03-aa77-a260bb714d88 · outbound

This paper cites Crowd3d: Towards hundreds of people reconstruction from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowd3d: Towards hundreds of people reconstruction from a single image

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.068678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15a14c3a-ef30-4bde-b9cd-c14816ba73d3 · outbound

This paper cites Reconstructing groups of people with hypergraph relational reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Reconstructing groups of people with hypergraph relational reasoning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.049487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12177e43-5f97-4487-95d1-fc7698a4b57a · outbound

This paper cites Closely interactive human reconstruction with proxemics and physics-guided adaption.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Closely interactive human reconstruction with proxemics and physics-guided adaption

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.059500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3050c237-608b-435c-b10f-550214372ce6 · outbound

This paper cites Reconstructing close human interaction with appearance and proxemics reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Reconstructing close human interaction with appearance and proxemics reasoning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.972171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e4698dc-9068-49ed-823c-9d525f52201b · outbound

This paper cites Object-occluded human shape and pose estimation with probabilistic latent consistency.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Object-occluded human shape and pose estimation with probabilistic latent consistency

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.039886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d607656-589f-42c7-8654-9c594863252e · outbound

This paper cites Putting people in their place: Monocular regression of 3d people in depth.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Putting people in their place: Monocular regression of 3d people in depth

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.030593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bc469ef-72a7-40ea-a854-1d437c24accb · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Depth anything: Unleashing the power of large-scale unlabeled data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.093072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98d87b8d-fd62-48bc-ae98-762f693908a1 · outbound

This paper cites Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:25:07.866826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05c2fe8a-c101-4ceb-8ea8-f35bb03b9573 · outbound

This paper cites Score-guided diffusion for 3d human recovery.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Score-guided diffusion for 3d human recovery

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.021279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5eb40dd5-b9ac-4b56-869f-cf8a6a0882a3 · outbound

This paper cites Monocular, one-stage, regression of multiple 3d people.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Monocular, one-stage, regression of multiple 3d people

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.080395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fcb52d8-939d-431a-8bf0-27a543a3483d · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Futr3d: A unified sensor fusion framework for 3d detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.076162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7be36230-3513-4a8a-bbf8-e6b5828f50e8 · outbound

This paper cites Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.016032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08f0e44b-8675-46d5-80b3-3373f95bd0d4 · outbound

This paper cites Hypergraph neural networks.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Hypergraph neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.025525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d60baf06-28d3-4b92-a731-d5449dfda5a7 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Openpose: Realtime multi-person 2d pose estimation using part affinity fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.035148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a637aae-4292-441b-a737-37b703714611 · outbound

This paper cites Pixels to Graphs by Associative Embedding.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Pixels to Graphs by Associative Embedding

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:25:07.859078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49d1fa59-84ea-4ae5-8b50-75f546f6e6c9 · outbound

This paper cites Camera distance-aware top- down approach for 3d multi-person pose estimation from a single rgb image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Camera distance-aware top- down approach for 3d multi-person pose estimation from a single rgb image

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.097568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11dbc28f-3df8-4406-92c4-869863ff8fe2 · outbound

This paper cites Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.064120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad3c3a37-3006-444b-bb62-afc9ce2331ae · outbound

This paper cites Multi-agent dynamic relational reasoning for social robot navigation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Multi-agent dynamic relational reasoning for social robot navigation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.084921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb5b753d-7151-4838-9406-6079a6209c29 · outbound

This paper cites Hypergraph based human mesh hierarchical representation and reconstruction from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Hypergraph based human mesh hierarchical representation and reconstruction from a single image

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.088982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03b4940b-2f18-4960-8dcc-e1948a07919e · outbound

This paper cites Deep social grouping network for large scenes with multiple subjects.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Deep social grouping network for large scenes with multiple subjects

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.054182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b4e0821-fc3e-4d64-9558-f731eabdd0a3 · outbound

This paper cites Cliff: Carrying location information in full frames into human pose and shape estimation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Cliff: Carrying location information in full frames into human pose and shape estimation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.994252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 316fac00-4133-4e38-9ad1-9de1eae50d43 · outbound

This paper cites Microsoft coco: Common objects in context.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Microsoft coco: Common objects in context

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.006726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2634164-3a36-4418-b086-92def636f3cb · outbound

This paper cites 2d human pose estimation: New benchmark and state of the art analysis.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery 2d human pose estimation: New benchmark and state of the art analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.002380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a651eff-483b-4133-835b-a94cb14cbea7 · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Panoptic studio: A massively multiview system for social motion capture

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.989505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb5b052e-b62e-4a4b-b22c-93e629e69bd9 · outbound

This paper cites Crowdpose: Efficient crowded scenes pose estimation and a new benchmark.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowdpose: Efficient crowded scenes pose estimation and a new benchmark

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.998382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6ce4929-afc0-40ae-b46d-065bbf3d7b45 · outbound

This paper cites Monocular 3d pose and shape estimation of multiple people in natural scenes: The importance of multiple scene constraints.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Monocular 3d pose and shape estimation of multiple people in natural scenes: The importance of multiple scene constraints

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.976630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41c6e4fe-fa33-4c62-9893-d93162a83070 · outbound

This paper cites Deep network for the integrated 3d sensing of multiple people in natural images.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Deep network for the integrated 3d sensing of multiple people in natural images

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.950742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ae17c21-df32-4480-a6a2-51fc3135e81b · outbound

This paper cites Coherent reconstruction of multiple humans from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Coherent reconstruction of multiple humans from a single image

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.954982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78a777a2-24da-4e7a-b575-42d67edc11d0 · outbound

This paper cites Body meshes as points.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Body meshes as points

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.963565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ebb1a55-c224-4f23-a555-3bf0e3903d69 · outbound

This paper cites Pose2uv: Single-shot multiperson mesh recovery with deep uv prior.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Pose2uv: Single-shot multiperson mesh recovery with deep uv prior

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.984868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 376258f8-eac2-4be4-826e-440b5d768319 · outbound

This paper cites Learning to estimate robust 3d human mesh from in-the-wild crowded scenes.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Learning to estimate robust 3d human mesh from in-the-wild crowded scenes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.937345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fa84d33-0275-46bb-bb99-ed320ce0a3dc · outbound

This paper cites Scene-aware 3d multi-human motion capture from a single camera.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Scene-aware 3d multi-human motion capture from a single camera

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.946535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee3d5777-3c9e-4df9-a333-98c30dd7d3a9 · outbound

This paper cites Smap: Single-shot multi-person absolute 3d pose estimation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Smap: Single-shot multi-person absolute 3d pose estimation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.980704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b435adaf-5d28-470f-9f6b-f842c679eb7d · outbound

This paper cites Sat-hmr: Real-time multi-person 3d mesh estimation via scale-adaptive tokens.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Sat-hmr: Real-time multi-person 3d mesh estimation via scale-adaptive tokens

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.967985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 560ef4dd-93bb-40fc-8f23-23ccd6f55c3b · outbound

This paper cites Crowdrec: 3d crowd reconstruction from single color images.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowdrec: 3d crowd reconstruction from single color images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.932515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7ee61fd-91b7-4c2e-ba2b-4d86c8657ed0 · outbound

This paper cites Specif- ically, we provide quantitative evaluations on crowd-level spatial metrics and qualitative visualizations to demonstrate step-by-step improvements of our CoMHR framework.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Specif- ically, we provide quantitative evaluations on crowd-level spatial metrics and qualitative visualizations to demonstrate step-by-step improvements of our CoMHR framework

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:25:07.863290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d885346d-39ad-4a83-b7dc-513999602624 · outbound

This paper cites 6 shows three representative examples from the CrowdPose dataset, which is known for its crowded scenes, frequent inter-person occlusions, and challenging pose variations.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery 6 shows three representative examples from the CrowdPose dataset, which is known for its crowded scenes, frequent inter-person occlusions, and challenging pose variations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.942163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17defa4b-f9f4-49f3-a95f-dce7b896ba6b · outbound

This paper cites an unresolved cited work.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-15T06:25:09.101945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b01137bd-dd87-46a7-b3b3-a5f26ea94c72 · outbound

This paper cites Environmental Degradation.We tested the model’s resis- tance to severe environmental noise on the Panoptic dataset (Baseline MPJPE = 104.18 mm).

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Environmental Degradation.We tested the model’s resis- tance to severe environmental noise on the Panoptic dataset (Baseline MPJPE = 104.18 mm)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.959337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73119048-98d0-49b0-8465-9c329f41fdf4 · outbound

This paper cites On a single NVIDIA RTX 4090 GPU, our full relation reasoning stage takes approximately 28 ms per frame for standard groups (6-16 individuals).

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery On a single NVIDIA RTX 4090 GPU, our full relation reasoning stage takes approximately 28 ms per frame for standard groups (6-16 individuals)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:08.926712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 963a002b-a9ac-405d-9518-badffd8e9a21 · outbound

This paper cites For instance, foreground truncation and sensor contamination increase the error by merely 2.41 mm and 1.18 mm, respectively.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery For instance, foreground truncation and sensor contamination increase the error by merely 2.41 mm and 1.18 mm, respectively

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:25:09.011686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ace72428-b869-469b-ba2d-7b1df8b48d85 · outbound

This paper cites an unresolved cited work.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-15T06:25:09.072528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.