Paper Citation Record · LEDGER

Learning Action-based Representations Using Invariance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.16369.

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

pith.paper-citation-record.v1
2403.16369 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:06.863385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:57.414243Z

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 5d1e18c3-e85b-4599-8fcf-5576952ec28c · inbound

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments cites this paper.

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments Learning Action-based Representations Using Invariance

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:06.863385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4277caf7-e7be-498f-ad7e-08c456a93176 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Learning Action-based Representations Using Invariance

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:41.614635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7b30ac-f1a6-4519-b7f1-124d01c2c5b2 · inbound

Learning Object Manipulation from Scratch via Contrastive Interaction cites this paper.

Learning Object Manipulation from Scratch via Contrastive Interaction Learning Action-based Representations Using Invariance

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:17:57.415531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec64efd5-cb64-4404-a0b9-d183ef753f1a · inbound

Predictive Objectives Discard Exogenous Control-Relevant Features: A Controlled Mechanistic Study cites this paper.

Predictive Objectives Discard Exogenous Control-Relevant Features: A Controlled Mechanistic Study Learning Action-based Representations Using Invariance

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:14:21.775057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.