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Paper Citation Record · LEDGER

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:1908.06377.

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

pith.paper-citation-record.v1
1908.06377 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:53:12.141036Z

measured 48 of 48 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

48 of 48 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0181a71f-66b4-4e42-9071-5116e2b23b7d · outbound

This paper cites Image collection pop-up: 3d reconstruction and clustering of rigid and non-rigid categories.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Image collection pop-up: 3d reconstruction and clustering of rigid and non-rigid categories

Reference 1

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Observation 5c8dca4d-a2df-4855-ab04-836d40f0f779 · outbound

This paper cites Trajectory space: A dual representation for nonrigid struc- ture from motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Trajectory space: A dual representation for nonrigid struc- ture from motion

Reference 2

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Source-reported events for the cited work

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Observation b18052e4-426f-4901-9c01-e990471a8a66 · outbound

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

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning 2d human pose estimation: New benchmark and state of the art analysis

Reference 3

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Observation 75fa5976-4e71-4a87-b20c-c4d5860a3dfb · outbound

This paper cites A fast iterative shrinkage- thresholding algorithm with application to wavelet-based im- age deblurring.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning A fast iterative shrinkage- thresholding algorithm with application to wavelet-based im- age deblurring

Reference 4

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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 b5a8940c-3249-4ee6-b203-868053d5593c · outbound

This paper cites Recovering non-rigid 3d shape from image streams.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Recovering non-rigid 3d shape from image streams

Reference 5

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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 d2bc7a6a-d626-45ce-a657-c6e2728b2992 · outbound

This paper cites 3d human pose es- timation = 2d pose estimation + matching.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning 3d human pose es- timation = 2d pose estimation + matching

Reference 6

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Source-reported events for the cited work

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Observation ee1d5b5f-5a59-4415-a9a7-2c9a378a8925 · outbound

This paper cites Synthesizing training images for boosting human 3d pose estimation.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Synthesizing training images for boosting human 3d pose estimation

Reference 7

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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 a906caab-74d0-431a-9fb1-0d5ff6e608b3 · outbound

This paper cites Learning 3d hu- man pose from structure and motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Learning 3d hu- man pose from structure and motion

Reference 8

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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 8d64ec18-0374-4b96-87c6-6168941012c6 · outbound

This paper cites A simple prior- free method for non-rigid structure-from-motion factoriza- tion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning A simple prior- free method for non-rigid structure-from-motion factoriza- tion

Reference 9

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Source-reported events for the cited work

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Observation 7d772552-c06c-4806-a7fc-d5a506035b30 · outbound

This paper cites An iterative thresholding algorithm for linear inverse prob- lems with a sparsity constraint.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning An iterative thresholding algorithm for linear inverse prob- lems with a sparsity constraint

Reference 10

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Source-reported events for the cited work

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Observation 80573fb3-6f4b-480c-bb9f-fa63af38b966 · outbound

This paper cites Non-rigid structure from motion using ranklet-based track- ing and non-linear optimization.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Non-rigid structure from motion using ranklet-based track- ing and non-linear optimization

Reference 11

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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 fdb1f0ce-936f-43be-acbc-456a4e917f20 · outbound

This paper cites Can 3d pose be learned from 2d projections alone? In Proceedings of the European Conference on Computer Vision (ECCV) , pages 0–0, 2018.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Can 3d pose be learned from 2d projections alone? In Proceedings of the European Conference on Computer Vision (ECCV) , pages 0–0, 2018

Reference 12

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Source-reported events for the cited work

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Observation 63283f5d-ce0f-40fb-a1bc-4ae9a9cdebd0 · outbound

This paper cites Harley, William Seto, and Katerina Fragkiadaki.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Harley, William Seto, and Katerina Fragkiadaki

Reference 13

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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 ad491d56-f65a-4f00-a681-9bb371bf460b · outbound

This paper cites Unsupervised monocular depth estimation with left- right consistency.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Unsupervised monocular depth estimation with left- right consistency

Reference 14

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 d7dc8060-40b6-4c93-bcdb-ae295ad2b79d · outbound

This paper cites Computing smooth time trajectories for camera and deformable shape in structure from motion with occlusion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Computing smooth time trajectories for camera and deformable shape in structure from motion with occlusion

Reference 15

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 07b6d7e0-b6b8-42a0-8e84-42a5f2a07a2a · outbound

This paper cites Kernel non-rigid structure from motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Kernel non-rigid structure from motion

Reference 16

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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 109d579c-d00c-42db-8705-470de45ddfda · outbound

This paper cites Learning spatially-smooth mappings in non-rigid structure from motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Learning spatially-smooth mappings in non-rigid structure from motion

Reference 17

Resolution
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Source-reported events for the cited work

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Observation c578f1e6-9f2d-439d-bd0c-e01e525c7054 · outbound

This paper cites Human3.6m: Large scale datasets and predic- tive methods for 3d human sensing in natural environments.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Human3.6m: Large scale datasets and predic- tive methods for 3d human sensing in natural environments

Reference 18

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 fb4f74c1-dc4b-48a7-a2db-fdf7b5ff6288 · outbound

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

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Panoptic studio: A massively multiview system for social motion capture

Reference 19

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Source-reported events for the cited work

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Observation 75ab4fc9-e96c-4e8c-96d6-714ce08a59bb · outbound

This paper cites Prior-less compressible struc- ture from motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Prior-less compressible struc- ture from motion

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 9b01a7ee-c18f-4112-98f3-fb762ba1c59a · outbound

This paper cites Deep Interpretable Non-Rigid Structure from Motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Deep Interpretable Non-Rigid Structure from Motion

Reference 21

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verified exact
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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 b1ffcf06-d4a9-4d27-b1f6-8498b14e8b45 · outbound

This paper cites Structure from category: a generic and prior-less approach.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Structure from category: a generic and prior-less approach

Reference 22

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 ba436052-6948-4c64-95b6-c43baab81ec7 · outbound

This paper cites Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective

Reference 23

Resolution
verified exact
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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 b31a9537-9717-4e30-ab16-93f68eac42c4 · outbound

This paper cites Multi- body non-rigid structure-from-motion.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Multi- body non-rigid structure-from-motion

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation d12d3d7e-1714-4bfc-b0ed-ea89544e48da · outbound

This paper cites Consensus of non-rigid reconstructions.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Consensus of non-rigid reconstructions

Reference 25

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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 6a1f2f9a-e4f0-450d-8f70-cb62073d905c · outbound

This paper cites A simple yet effective baseline for 3d human pose es- timation.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning A simple yet effective baseline for 3d human pose es- timation

Reference 26

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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 fa1f1a45-b31d-460c-858b-226587e6dd53 · outbound

This paper cites Convo- lutional neural networks analyzed via convolutional sparse coding.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Convo- lutional neural networks analyzed via convolutional sparse coding

Reference 27

Resolution
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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 8dcedbf4-c83d-48a7-8e52-b46435423b27 · outbound

This paper cites Ordinal depth supervision for 3d human pose estimation.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Ordinal depth supervision for 3d human pose estimation

Reference 28

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 b52888c7-f33a-45d6-a93b-04857bfd3323 · outbound

This paper cites Coarse-to-fine volumetric predic- tion for single-image 3d human pose.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Coarse-to-fine volumetric predic- tion for single-image 3d human pose

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.454466Z

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 5af11bb6-7903-41d2-b8cd-721df8fa2489 · outbound

This paper cites Harvesting multiple views for marker-less 3d human pose annotations.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Harvesting multiple views for marker-less 3d human pose annotations

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.441984Z

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 5d104e20-3f82-46b8-9082-b98d76a3b4dc · outbound

This paper cites Re- constructing 3d human pose from 2d image landmarks.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Re- constructing 3d human pose from 2d image landmarks

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.428395Z

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 e3149904-34b7-48ce-b770-bf0f4273e030 · outbound

This paper cites Unsu- pervised geometry-aware representation for 3d human pose estimation.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Unsu- pervised geometry-aware representation for 3d human pose estimation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.414023Z

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 8bbf37e7-464d-46e2-bbb1-64a5c3f96f52 · outbound

This paper cites Learning monocular 3d human pose estimation from multi-view images.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Learning monocular 3d human pose estimation from multi-view images

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.401113Z

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=2026-08-14T12:53:12.082292Z digest=sha256:60027e504f2f3407f17f92cc31f23547be9c180bf4a317c76cb32e1ca79b71ba

Observation 27b911db-5ced-4bd7-805a-b389ac90ccab · outbound

This paper cites Sparse coding via thresholding and local competition in neural circuits.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Sparse coding via thresholding and local competition in neural circuits

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.387535Z

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=2026-08-14T12:53:12.086036Z digest=sha256:3132bb22299fd75f8df61d33f4d4936f74f9fe267bf464d836d1310fd7274bdb

Observation cf97c982-5160-425a-9296-15d26d23dcce · outbound

This paper cites Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving, 2018.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving, 2018

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.374689Z

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=2026-08-14T12:53:12.090114Z digest=sha256:1c61a1a75493984a8f26c2cf3d716d991a9d66a9f9fd57cb7ea2533dd217defe

Observation a7b722a6-97ea-407d-b97a-554837d3a049 · outbound

This paper cites Integral human pose regression.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Integral human pose regression

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.361594Z

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=2026-08-14T12:53:12.094314Z digest=sha256:08de1171ef514669f2870fc3cb558c20387c544421a05da852d6c47731e2df3c

Observation b9825b57-ff99-4969-8e71-96e930b0f0eb · outbound

This paper cites Lifting from the deep: Convolutional 3d pose estimation from a sin- gle image.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Lifting from the deep: Convolutional 3d pose estimation from a sin- gle image

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.351013Z

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=2026-08-14T12:53:12.098315Z digest=sha256:068587cfef4341e750f91da35de22d477af29711a553649d0022b2177081283b

Observation 80626987-723e-413e-a70b-f3e311b39955 · outbound

This paper cites Self-supervised learning of motion capture.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Self-supervised learning of motion capture

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.340135Z

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=2026-08-14T12:53:12.102640Z digest=sha256:493d3d60a21141fb7bdd190f32b5c08617c855f4ee48df53c39a4d2c210e025b

Observation cd0e5011-8503-4580-930f-0ce125d66dad · outbound

This paper cites Deep image prior.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Deep image prior

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.327342Z

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=2026-08-14T12:53:12.106160Z digest=sha256:94f5b2cc4ebbd2c3d8f92e6d623e3347ad9b8cdee93f93c2d193faa139f40168

Observation db2e1b75-cfe0-48e8-ab51-40e80a11b3ec · outbound

This paper cites Learning from synthetic humans.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Learning from synthetic humans

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.314684Z

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=2026-08-14T12:53:12.109467Z digest=sha256:191ea2755f76db6593c01d8b2b9be1c1f6f728a0383f372f65f1f058d41e69ec

Observation 869056bf-9f4d-437e-b4b7-c1b993e8a516 · outbound

This paper cites RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:53:12.179982Z

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=2026-08-14T12:53:12.113111Z digest=sha256:bcd3540cc804586c70bd6c684c08fc0ccc19a530769064bf57a13b53135d52be

Observation a35f1a46-27e3-4d1f-9972-81ed87b6e5b7 · outbound

This paper cites Learning depth from monocular videos us- ing direct methods.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Learning depth from monocular videos us- ing direct methods

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.302787Z

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=2026-08-14T12:53:12.117375Z digest=sha256:d7d1c445bbbc0b751cda3b1c12789c3520511dd969243c5790193be29b2ff4d5

Observation b25be17c-01c1-4321-8d1a-96b1553b7a51 · outbound

This paper cites Single image 3d interpreter network.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Single image 3d interpreter network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.289870Z

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=2026-08-14T12:53:12.121257Z digest=sha256:a035f8253ae2f1c7f55e0c5f90ed346c046fd6e03f30206f4ff16db770fb2cbc

Observation 7aa4a49a-08ea-4267-b3df-88e628d57239 · outbound

This paper cites 3d human pose estima- tion in the wild by adversarial learning.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning 3d human pose estima- tion in the wild by adversarial learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.278268Z

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=2026-08-14T12:53:12.125255Z digest=sha256:59f2a3c361529c9a9f2b358779e68d02a6c0520c885be9f801c8934d86429c27

Observation f61df2f8-7ac1-41be-975a-0e3b35604316 · outbound

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

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Monocular 3d pose and shape estimation of multiple people in natural scenes - the importance of multiple scene constraints

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.266043Z

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=2026-08-14T12:53:12.129172Z digest=sha256:b91f426a2842f1f3745f56eb1ee64478e953941bcffba042a2c0fe469678950f

Observation 22e0b1a1-7652-46f5-a3e7-904e4f002514 · outbound

This paper cites Unsupervised learning of depth and ego-motion from video.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Unsupervised learning of depth and ego-motion from video

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.252327Z

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=2026-08-14T12:53:12.133480Z digest=sha256:bbc40dca9d541eca4696469267031b46072fbdf1dd45aae49dd68c229c7d0a21

Observation 5d7150ee-39d0-4252-9353-192bd1b0d1c4 · outbound

This paper cites Towards 3d human pose estimation in the wild: a weakly-supervised approach.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Towards 3d human pose estimation in the wild: a weakly-supervised approach

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.240351Z

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=2026-08-14T12:53:12.137276Z digest=sha256:0fa22f7d17aa9e1e26fee70798eb84b10a1b74b4733d1ac48f8a96cbb911c49d

Observation a948c3e3-db35-4964-b3f9-c5c6137c837d · outbound

This paper cites Complex non-rigid motion 3d reconstruction by union of subspaces.

Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning Complex non-rigid motion 3d reconstruction by union of subspaces

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:53:12.226930Z

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=2026-08-14T12:53:12.141036Z digest=sha256:a6e48360cc8719458cba5bb68106f957a0df752898b9b9bf9311813fa04c484e

Pith citing papers

No inbound Pith citation observations are available.