Pith. sign in

Paper Citation Record · LEDGER

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.08391.

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

pith.paper-citation-record.v1
1908.08391 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:44:28.120366Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44796c32-c62d-49d6-ac47-963b7d3cd3cf · outbound

This paper cites Robot Programming by Demonstration,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Robot Programming by Demonstration,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.853773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.914613Z digest=sha256:44107802c2a13d9a55e076924a3db48797f9100a46302e8aa6fe295af886beeb

Observation 5cb15e67-41d7-4cdb-a089-362f60e2b68b · outbound

This paper cites Anticipating Human Activities Using Object Affordances for Reactive Robotic Response,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Anticipating Human Activities Using Object Affordances for Reactive Robotic Response,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.833371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.921504Z digest=sha256:6c2b4dc3c939dcf648aab0cc843050df31c5cb8299490709f6b745bb5cbabb85

Observation 9933eb60-7a4a-40e7-9588-519b726d7db9 · outbound

This paper cites Recognition and Prediction of Manipulation Actions Using Enriched Semantic Event Chains,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Recognition and Prediction of Manipulation Actions Using Enriched Semantic Event Chains,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.813967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.927721Z digest=sha256:29785b80708ffcb9edda04fc95d440c7e4a36c046f352322bd12dd15bc7b28ae

Observation 55a5754e-98ef-4374-a77e-73ec0bfe0325 · outbound

This paper cites 3D Convolutional Neural Networks for Human Action Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks 3D Convolutional Neural Networks for Human Action Recognition,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.789857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.933913Z digest=sha256:fcec23ba0be9fd0692d283173170bcab36f2ce266210e3ffc8d2e52071732c6a

Observation e706b3d4-f915-4b15-920d-b2a8bb8972b2 · outbound

This paper cites Visual Object-Action Recognition: Inferring Object Affordances from Human Demonstration,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Visual Object-Action Recognition: Inferring Object Affordances from Human Demonstration,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.770507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.940406Z digest=sha256:9c6a9c4a3a744b35377152c249f6afe05b4f23803ea8eb5daeb6d66e7fb1422b

Observation e2b5f69b-8655-4eb3-8fec-2b8a39ad6b5a · outbound

This paper cites Action MACH: A Spatio- Temporal Maximum Average Correlation Height Filter for Action Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Action MACH: A Spatio- Temporal Maximum Average Correlation Height Filter for Action Recognition,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.749030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.947049Z digest=sha256:fb79e08a4baf958b592fc151039d3cff71b2da1f358feb448c63f270f2ec9c18

Observation fa68a569-d790-42c3-9871-97ed9ae0f69a · outbound

This paper cites Actions as Space-Time Shapes,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Actions as Space-Time Shapes,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.725764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.953770Z digest=sha256:bf4f3828d125d6eff34433be5fc978d995c8dd856f256632489272e691b567fc

Observation 281fce68-677f-4a55-966f-0eccf5b0d4d3 · outbound

This paper cites Learning the Semantics of Object-Action Relations by Observation,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Learning the Semantics of Object-Action Relations by Observation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.702606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.959799Z digest=sha256:cdb9206f68c870141780876738b0ff6accdf7c01932e47f78be01427a3f577a3

Observation b44f37ed-3a9a-468c-ad16-3e096006a094 · outbound

This paper cites Hierarchical Segmentation of Manipulation Actions Based on Object Relations and Motion Characteristics,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Hierarchical Segmentation of Manipulation Actions Based on Object Relations and Motion Characteristics,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.680983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.965676Z digest=sha256:19953dfe32f033d5b343fd4e6afdc6d3ec053f55fb619ebfb4062015c30db338

Observation b3076d31-d3cc-47df-8812-cd3d89af18ed · outbound

This paper cites Analyzing Whole- Body Pose Transitions in Multi-Contact Motions,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Analyzing Whole- Body Pose Transitions in Multi-Contact Motions,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.663928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.971788Z digest=sha256:998027a7eec3219d97839ba859af2fc8067cfe994124e001341694fdacbcffe3

Observation 996ef4a0-5737-4baa-a155-719aeb397794 · outbound

This paper cites Programming by Demonstration: Dual-Arm Manipulation Tasks for Humanoid Robots,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Programming by Demonstration: Dual-Arm Manipulation Tasks for Humanoid Robots,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.646357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.979542Z digest=sha256:49d5875c077d6b3310c0bee01c2e1725e7a7f9c1062e1478543cb40311375552

Observation 4ca7ed8c-29ee-4a9e-9da7-1c5610f96733 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Relational inductive biases, deep learning, and graph networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T11:44:27.986152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:44:27.986152Z digest=sha256:72201584a3f51972bfd2a29cd3c79683316b12b0d499ba41b105ec30ba4142cf

Observation cb21a340-afbd-499a-b0c0-dc6a1ac86109 · outbound

This paper cites The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.621891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:27.993481Z digest=sha256:0ea8e2f83eff3250ee64dc1313658c3b378701080ced3b8a939433d36c28495f

Observation 3ee8e44b-8936-405f-a521-409e8545c472 · outbound

This paper cites Scaling Egocentric Vision: The EPIC-KITCHENS Dataset,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Scaling Egocentric Vision: The EPIC-KITCHENS Dataset,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.602582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.000790Z digest=sha256:f32ce8dc54aa87b4f784f379020841b05d95d5eaedea7c97dcfaf84244ed136e

Observation a08a6020-30fa-42f9-be7b-d9d26337d333 · outbound

This paper cites Towards Automatic Learning of Procedures from Web Instructional Videos,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Towards Automatic Learning of Procedures from Web Instructional Videos,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.577583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.007070Z digest=sha256:8ad9d823a912f785ccb7f81ddfd8c6ed28091c30c8374e6fbccb08bb170383dc

Observation 897844c6-6396-4bc4-a0c5-4716f069508e · outbound

This paper cites Watch-n-Patch: Unsupervised Understanding of Actions and Relations,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Watch-n-Patch: Unsupervised Understanding of Actions and Relations,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.556175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.012952Z digest=sha256:7c2df45f6416d857a157dd935709c956cffa08633bf25436506e87df8395b88f

Observation d283f561-2243-4e58-9ef9-4dfd70899a0a · outbound

This paper cites Human Activity Detection from RGBD Images,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Human Activity Detection from RGBD Images,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.527911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.019766Z digest=sha256:400c120d3987c85386a77163fb2dde5f56bc15450e0b343899a805b2785c338c

Observation e4d28e08-a593-422b-9612-3c430d2a3566 · outbound

This paper cites Mining Actionlet Ensemble for Action Recognition with Depth Cameras,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Mining Actionlet Ensemble for Action Recognition with Depth Cameras,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.495708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.025981Z digest=sha256:1905df1f340debb520a9c1fb203defb58b6beb387cd1030b8e250242dbc9a443

Observation c64eadba-8479-4f09-b93e-7719fbbb4cd5 · outbound

This paper cites View Invariant Human Action Recognition Using Histograms of 3D Joints,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks View Invariant Human Action Recognition Using Histograms of 3D Joints,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.473409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.032361Z digest=sha256:4f7754412f3842f637605d14bafb5567ab10e6ac6068e043af1b2780dc0cb31f

Observation 8f511e27-f91d-430d-9949-8a642d08b794 · outbound

This paper cites Learning Human Activities and Object Affordances from RGB-D Videos,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Learning Human Activities and Object Affordances from RGB-D Videos,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.455972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.038860Z digest=sha256:94c74d08ff28c22aff333c829f88964cee8c6fab923cdb90493c8758834cbd14

Observation 209dc58b-d4b4-4448-8bee-a45cdc8864c0 · outbound

This paper cites Model-Free Incremental Learning of the Semantics of Manipulation Actions,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Model-Free Incremental Learning of the Semantics of Manipulation Actions,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.436981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.046298Z digest=sha256:43bdd1022724b2140c67b4af66eeeea00852b57ccf4ce667be0f0bdd8842cff4

Observation cda4db5b-16db-4cbe-a583-6ca2a51afe3e · outbound

This paper cites The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.415573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.052804Z digest=sha256:742a0b5876410afe13aa02d63ff49cc9d808dfe80b940fd75bf6debadebb5ebf

Observation eae10599-a09c-411e-986b-fcf998be7d4b · outbound

This paper cites A Survey on Vision-Based Human Action Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks A Survey on Vision-Based Human Action Recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.393394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.062859Z digest=sha256:9b5a33c1215e1cfd40a12a69379443dca98b7fc3d967820385fde3262c15e63e

Observation 63a60087-41e5-4b3f-ab03-abf1de3e0d00 · outbound

This paper cites A Survey of Vision-Based Methods for Action Representation, Segmentation and Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks A Survey of Vision-Based Methods for Action Representation, Segmentation and Recognition,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.373546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.068707Z digest=sha256:a6859a976be9161657f6f75c5d64e21631851b906b755ad77efb61a79f21a402

Observation cd5152ca-698d-4c5d-b7ee-905c32039da6 · outbound

This paper cites A Survey of Video Datasets for Human Action and Activity Recognition,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks A Survey of Video Datasets for Human Action and Activity Recognition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.352976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.073835Z digest=sha256:e9b893655cb47c9a99ea0ec994eb5d12819bfcd610be74633f075f131282508c

Observation 070724a5-2346-4c2f-8883-90f832e83fd3 · outbound

This paper cites RGB-D-Based Action Recognition Datasets: A Survey,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks RGB-D-Based Action Recognition Datasets: A Survey,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.330894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.079876Z digest=sha256:1a96928408444fc04986f9775b8da525284ba111fc1a286eb1ef3072b018c284

Observation 23e579aa-5601-4ef4-9056-fe3d01c3b092 · outbound

This paper cites Going Deeper into Action Recognition: A Survey,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks Going Deeper into Action Recognition: A Survey,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.309566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.087157Z digest=sha256:dc7ce4761f8ffe6ba9a8297b847c1cb4f8c4aa54db3a301eeda8697d1f861fe6

Observation 3e66e514-9330-47fd-a004-9b094aa4704f · outbound

This paper cites The Robot Software Framework ArmarX,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks The Robot Software Framework ArmarX,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.289711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.093886Z digest=sha256:b159a69bc7a5c1b7f3bc15d663191f09b2252e1046190cdcbba016510b8f5e54

Observation ce1c603b-5356-481b-a7d3-079b605679c1 · outbound

This paper cites YOLOv3: An Incremental Improvement,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks YOLOv3: An Incremental Improvement,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.270780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.099028Z digest=sha256:db649a33cd4e64dd162a7083c0000e031e600f4a6e3473558c54cdc193fe79c1

Observation b3bb3117-a78f-47dc-8354-242aeb1ce45e · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:44:28.251582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:44:28.113357Z digest=sha256:2bd3175e1357811802338fb2582ca146ac45d0466925ab6d4337da022a2358e0

Observation 5892a219-c153-4abb-bb50-cd6652cee8bb · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T11:44:28.120366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:44:28.120366Z digest=sha256:3be7e2661dfa26dbe7e0cffe9fb2a471103a5178101c77c24bf42dd341da75a6

Observation 3bb2beb1-17d6-4f05-a801-40fba813173c · outbound

This paper cites YOLOv3: An Incremental Improvement.

Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks YOLOv3: An Incremental Improvement

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-14T11:44:28.105955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:44:28.105955Z digest=sha256:cf71e3b79917d46f76efeeb7ff331e569396a16ea711c0216e1a4a77b4ec0bd7

Pith citing papers

No inbound Pith citation observations are available.