Paper Citation Record · LEDGER

iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.02696.

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

pith.paper-citation-record.v1
2406.02696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:48:46.211497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:56:27.775154Z

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 a13f1e2e-0ec0-4ad8-873e-bcbc3db0e574 · inbound

Towards General-Purpose Model-Free Reinforcement Learning cites this paper.

Towards General-Purpose Model-Free Reinforcement Learning iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:01.676119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22895b52-5e1e-4286-9940-b63b4177c63a · inbound

Latent Action Learning Requires Supervision in the Presence of Distractors cites this paper.

Latent Action Learning Requires Supervision in the Presence of Distractors iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.072273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a0f5ce-811c-4e44-9998-6f04ec349af0 · inbound

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents cites this paper.

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T09:48:06.315482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9712ffe4-271f-451a-9501-4057bfd2b834 · inbound

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC cites this paper.

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:56:27.778659Z

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.

Observation 0a611bef-90f0-4ad1-9dab-3692975237b0 · inbound

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control cites this paper.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T19:50:55.254650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9072e5fb-3ca0-4336-b7d1-73b56496f75d · inbound

ProDVI: Programmatic Dynamics Priors for Value Network Initialization cites this paper.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T19:25:37.326777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb2de8b-1c4e-4af1-83f0-c17b46723df1 · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 220

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:46.211497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.