Pith. sign in

Paper Citation Record · LEDGER

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.10353.

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

pith.paper-citation-record.v1
1802.10353 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:52.864221Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:21:33.527108Z

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 38be1543-0ce0-4bb6-903b-fe4e7013dd47 · inbound

Identifiable Object Representations under Spatial Ambiguities cites this paper.

Identifiable Object Representations under Spatial Ambiguities Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:52.864221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:52.864221Z digest=sha256:397a9a783af9fb194ca52cb3d9488b9bba71469ba974cc261ba7fbcaf3e3364a

Observation aca7906a-9048-46cf-839d-fe95d38ab7b2 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

Reference 280

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:35:03.276129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:0103ddc0e78e47b000f99176da10064014c4b8a5709cd0009363198ee4453b7d