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Paper Citation Record · LEDGER

Learning Actionable Representations with Goal-Conditioned Policies

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1811.07819.

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

pith.paper-citation-record.v1
1811.07819 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:20:28.198954Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T08:13:14.857302Z

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 7fb89746-676f-440d-9b39-95b02adc7bef · inbound

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning cites this paper.

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Learning Actionable Representations with Goal-Conditioned Policies

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-25T12:35:49.088414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T12:31:38.848720Z digest=sha256:8f0120a578f0cbd90fd1d96f3104445869158d85019e20cc7f30c3c47af0e3a9

Observation f726ce88-3639-41b2-af33-c81f48aa9ed8 · inbound

Dynamics-aware Embeddings cites this paper.

Dynamics-aware Embeddings Learning Actionable Representations with Goal-Conditioned Policies

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T11:20:28.198954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:20:28.198954Z digest=sha256:155af08c644b4bc9daf7fc63b96bb4a35409eab033916a0ad86becd578514bfc

Observation 3498372c-584b-4215-b48e-67e5567688d8 · inbound

Evaluating Actionability in Explainable AI cites this paper.

Evaluating Actionability in Explainable AI Learning Actionable Representations with Goal-Conditioned Policies

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T07:35:25.443452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:35:25.443452Z digest=sha256:ba1371fb5a8d65c63895d76cb73ada58b11c7fba526cc819412e9b1a55803c64

Observation 4b1672e1-6c73-4f8d-8949-763e9cc2ed5f · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Learning Actionable Representations with Goal-Conditioned Policies

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:18:59.941887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-20T20:15:44.030714Z digest=sha256:356ad0475586caf2e7fc0e3affbbdbcf868652273bf54008749b37d6da6943fe

Observation 5a01619c-f5cc-400f-9dcd-7fa358dd6d59 · inbound

Learning to Perceive the World Through Control: Empowerment-Based Representation Learning cites this paper.

Learning to Perceive the World Through Control: Empowerment-Based Representation Learning Learning Actionable Representations with Goal-Conditioned Policies

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T08:13:14.858683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T08:10:31.818898Z digest=sha256:d00228d1d0b572f2a5a37a6bb48d8229f079e827e575c0156126e1b282737397

Observation b21644e1-2a10-48e0-ae06-76d9f94b39be · inbound

SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation cites this paper.

SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation Learning Actionable Representations with Goal-Conditioned Policies

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T11:08:45.926331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:08:45.926331Z digest=sha256:638e2ff8218f28af52171696d4630eb43a9d081e948e69a0b642447d6cc3dbc9