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Paper Citation Record · LEDGER

Learning Symmetric Embeddings for Equivariant World Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.11371.

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

pith.paper-citation-record.v1
2204.11371 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:00:56.380067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.274826Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9dca2132-134a-4140-b595-f583495bf2fe · inbound

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Learning Symmetric Embeddings for Equivariant World Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:46:23.198010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T12:45:28.458804Z digest=sha256:f01a584d6c079bcdb8f81f486e3c83e671caeca5ed613ea6f97c3e281026437f

Observation 9fe325ce-9aa7-4aaf-ad9e-bdaee17d3b68 · inbound

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments cites this paper.

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments Learning Symmetric Embeddings for Equivariant World Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T13:00:56.380067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:00:56.380067Z digest=sha256:7bb388c6abdc84fec322730ed1cb32e3537a6ee542622aa4ac66d773ed0a3152

Observation 31ed5e59-2298-4823-b642-989a0a7ae360 · inbound

Blind Recovery of Latent Domains via Unsupervised Symmetry Discovery cites this paper.

Blind Recovery of Latent Domains via Unsupervised Symmetry Discovery Learning Symmetric Embeddings for Equivariant World Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:50.276401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T02:04:24.179820Z digest=sha256:9a69b875c285a62c3998cb59442a1b7f14de7bccaf0484e3854668508e3dbbb5