Paper Citation Record · LEDGER

Contrastive Learning of Structured World Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1911.12247.

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

pith.paper-citation-record.v1
1911.12247 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:25:15.226611Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

69
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5ed10772-8f9b-4127-85a7-cee28b261689 · inbound

Discovering and using Spelke segments cites this paper.

Discovering and using Spelke segments Contrastive Learning of Structured World Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:25:15.226611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16fcd413-6654-4730-bd67-e6e3d17ffff8 · inbound

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks cites this paper.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Contrastive Learning of Structured World Models

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.499611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dde20b-f1f9-4af1-b7d9-80b015542ad4 · inbound

CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics cites this paper.

CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics Contrastive Learning of Structured World Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:46:12.874643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 415b6bb2-0d2e-4e24-a74b-9d2ec8728736 · inbound

UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels cites this paper.

UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels Contrastive Learning of Structured World Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:32:51.997859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 82b3ad0f-6193-4472-ac54-da9861c55817 · inbound

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis cites this paper.

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis Contrastive Learning of Structured World Models

Reference 228

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:43:26.440644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d910bc61-c2aa-4515-ae69-a7febd74a74e · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI Contrastive Learning of Structured World Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:13:16.432187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c66dc000-f454-4b02-ab3c-155c962f336e · inbound

STRIPS-WM: Learning Grounded Propositional STRIPS-style World Models from Images cites this paper.

STRIPS-WM: Learning Grounded Propositional STRIPS-style World Models from Images Contrastive Learning of Structured World Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:12.907649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2241bef2-7b87-4c03-a208-57c5162f4a19 · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery Contrastive Learning of Structured World Models

Reference 208

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:47:03.320895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca563578-194b-4cb7-8a6d-a91dfdfc1a66 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models Contrastive Learning of Structured World Models

Reference 134

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:14:44.360103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fba432ee-d1e8-48b8-a297-17bd098ff15e · inbound

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation cites this paper.

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation Contrastive Learning of Structured World Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:37.989184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c906952f-640e-4415-95bb-6480153cf995 · inbound

Learning Implicit Causal World Models from Multi-Agent Demonstrations cites this paper.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Contrastive Learning of Structured World Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T00:17:30.747273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.