Pith. sign in

Paper Citation Record · LEDGER

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2505.06363.

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

pith.paper-citation-record.v1
2505.06363 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:48:23.674497Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:15.042095Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0af85437-3b82-4898-9c7d-8481e9996955 · outbound

This paper cites Learning to generalize kinematic models to novel objects,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Learning to generalize kinematic models to novel objects,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.961525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.288695Z digest=sha256:6e0ee1c1cb9890f419348f9a327f11a38dd941fdefa5cd9d64c601d8a68b2ded

Observation 3e58aa76-34e7-4954-891c-bff42a4481be · outbound

This paper cites Screwnet: Category- independent articulation model estimation from depth images using screw theory,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Screwnet: Category- independent articulation model estimation from depth images using screw theory,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.939545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.305195Z digest=sha256:8ad3a7af08cb063a80f9604be77b8672966a131eec97560c6f0c793a01f1a116

Observation b9a478fb-54e1-4148-b0ea-3b32408dfe6e · outbound

This paper cites Distributional depth-based estimation of object articulation models,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Distributional depth-based estimation of object articulation models,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.859916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.318496Z digest=sha256:857d3f2af9579d370ff243b8e083946bb64e5b068297a51ef56cb66309e6f4a9

Observation 7ff4901c-e14f-46bf-803e-d907427ef44b · outbound

This paper cites Learning articulated motions from visual demonstration,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Learning articulated motions from visual demonstration,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.749911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.324575Z digest=sha256:40612b36b83eeaae8b3aa109880eb3e242b775d57d6091541fbc2b32c065e717

Observation 93e795da-f994-4fa9-9313-3bc35f86f191 · outbound

This paper cites A probabilistic framework for learning kinematic models of articulated objects,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects A probabilistic framework for learning kinematic models of articulated objects,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.330852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.330852Z digest=sha256:ac085086ae7179a244068cf0675b0f74f004245ded23545f78b7814588179939

Observation 9165e094-3cac-4545-b6d1-4bad4a1c7bef · outbound

This paper cites Flowbot++: Learning generalized articulated objects manipulation via articulation projection,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Flowbot++: Learning generalized articulated objects manipulation via articulation projection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.732127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.337099Z digest=sha256:c15faf13f036f09064e65f663c28a5af428a206624f339940a68e258e95d5e18

Observation ab8f5f60-fa89-4457-a455-66453800f4f2 · outbound

This paper cites Flowbot3d: Learning 3d artic- ulation flow to manipulate articulated objects,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Flowbot3d: Learning 3d artic- ulation flow to manipulate articulated objects,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.709431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.342488Z digest=sha256:5165e74a03dc83e7d49c5732ba26caa10ac02f89bd1e1697079b9500fd9c3764

Observation dbc848ec-5e36-4088-9ccd-e49b2b9d0105 · outbound

This paper cites Manipulating articulated objects with interac- tive perception,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Manipulating articulated objects with interac- tive perception,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.691517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.348304Z digest=sha256:6755dcca9148493b199f5540e9e3cf09a17273eb2baf3a5015467029b010a2d1

Observation 23a7fbdb-b048-4e66-91d5-c516d18271de · outbound

This paper cites Interactive segmentation, tracking, and kinematic modeling of unknown 3d artic- ulated objects,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Interactive segmentation, tracking, and kinematic modeling of unknown 3d artic- ulated objects,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.571804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.355520Z digest=sha256:7ef6f172c8e303725bacbd568cea7a087d94f1ef5baa32cb002f7eebcf4ac79a

Observation 2ee4da9a-b9bd-46e3-8562-c95991ff08f4 · outbound

This paper cites An integrated approach to visual perception of articulated objects,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects An integrated approach to visual perception of articulated objects,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.491019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.364599Z digest=sha256:3bc234c387e48cb853fbf505221a07fdb094037463ee972f135a21683dd61630

Observation 2047536c-eb1e-404b-9b9a-9ffbc7831353 · outbound

This paper cites Structure from action: Learning interactions for articulated object 3d structure discovery,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Structure from action: Learning interactions for articulated object 3d structure discovery,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.466566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.370517Z digest=sha256:5de49ef72b6dee60e0bdbd070185e9932d11642a2b36dd1e2d8728ee1a462c56

Observation ccc1e001-23de-4def-b28b-2fd6f49401a7 · outbound

This paper cites Category-Level Articulated Object Pose Estimation.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Category-Level Articulated Object Pose Estimation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:48:24.032542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.409061Z digest=sha256:18449975d01f254172163cf1945c6620345370277a13a5ca101395b23fb9729c

Observation 5eb0df13-cc47-4044-96af-ab56cba2ff6a · outbound

This paper cites Deep part induction from articulated object pairs,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Deep part induction from articulated object pairs,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.508915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.508915Z digest=sha256:ed6155838fa6d46a91419429747b64bae7684fb307d710e94d75024f27cc9aa4

Observation eb4d6c90-d52e-4bac-9122-f485cef692f5 · outbound

This paper cites Good features to track,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Good features to track,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.630388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.630388Z digest=sha256:ec3c1e8e7c25300939014e6f6a4f8d51de19d26349fe4b6bda51b7930c47d39e

Observation cb6ba7b6-3a33-4d5b-93fd-80a351cc0b35 · outbound

This paper cites Surf: Speeded up robust features,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Surf: Speeded up robust features,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.424856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.641961Z digest=sha256:a0234ef9b3efa68851b2458d31a019a68cd0846918f4c2fa98f76b579b519505

Observation 445b74df-a476-433e-ba4c-bd8fcb40fc4b · outbound

This paper cites SAPIEN: A simulated part-based interactive environment,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects SAPIEN: A simulated part-based interactive environment,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.262752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.648659Z digest=sha256:39ed9cb75c0416960205aa056602a2de2d62bcce30450964552eb46c2aec2f7c

Observation b5cf5376-aadf-4351-b85e-03b0781fbb95 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects ShapeNet: An Information-Rich 3D Model Repository

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.655449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.655449Z digest=sha256:42da96d9229fb6d45104e2e187334bf4a1cf5ef99c231e1e8e1a9191f2e2ec3f

Observation 6a3108cc-9318-44ce-ab22-690b9a00bba4 · outbound

This paper cites PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:48:24.106320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:48:23.661391Z digest=sha256:d0b6d41639849a5c110aba258f7664147741502ccf006b27b0c77d36fdca76d1

Observation 46daa6d1-337e-49e4-9a3d-2dfc267697ce · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.667714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.667714Z digest=sha256:0bd08291f3cba0238483a9ef0a99d74cabb42729e5ed00a5f065a7ae13910b2a

Observation 0c43aba2-b4e5-44af-b041-1004ebd9fc55 · outbound

This paper cites Attention is all you need,.

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects Attention is all you need,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:48:23.674497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:48:23.674497Z digest=sha256:4ae7d3366a9046148986b27992b30fc87d2b2200a2a2594a254e8cb49ed5842e

Pith citing papers

Observation 66059384-4995-4acd-8f13-005375d40f28 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:15.042095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:15.042095Z digest=sha256:2c28c0438fb8c4e2688764dab7bc14e4e9f570a976664050f34ab59cba632d9e