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Paper Citation Record · LEDGER

Learnings Options End-to-End for Continuous Action Tasks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1712.00004.

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

pith.paper-citation-record.v1
1712.00004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:06.236158Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

34
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation efb24265-220d-40e9-bcd5-663f42c7cf31 · inbound

DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL cites this paper.

DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL Learnings Options End-to-End for Continuous Action Tasks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:21:05.062024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T17:19:38.188254Z digest=sha256:1c975b6ee2a84f5929e5d357e0a29b5ee8941189a733c50f2d5fc5dc1aff3dd4

Observation 42864449-d36a-470f-8471-6ed6dea4c00d · inbound

Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots cites this paper.

Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots Learnings Options End-to-End for Continuous Action Tasks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:14:06.236158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:14:06.236158Z digest=sha256:1dbd67144fd578da1cd25bad13adb312bd06a14a1df20daf81f3a063ed26796f

Observation ca7f6e97-bed9-466a-98ff-cfa024e7b639 · inbound

Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning cites this paper.

Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning Learnings Options End-to-End for Continuous Action Tasks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:18:41.976437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:18:41.976437Z digest=sha256:596c2b71d298df9bf306ae497e7ec56c7475712e137ef22f4592cb81c5e44692

Observation 5a9571f5-1a40-4f18-b8a7-93b432260a3c · inbound

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs cites this paper.

Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs Learnings Options End-to-End for Continuous Action Tasks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:17:34.939972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:17:34.939972Z digest=sha256:2457737622e0c569d41afe704e640404f19e9d70244194cd1882b6f5d1d7d1fc

Observation 6cb883ba-2c7b-42ec-86ed-67f76c8a8ed0 · inbound

Scalable Option Learning in High-Throughput Environments cites this paper.

Scalable Option Learning in High-Throughput Environments Learnings Options End-to-End for Continuous Action Tasks

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:06:49.758336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-18T20:04:58.064472Z digest=sha256:8ad48cd465f22b9276862c84c3522ba1919030337dc755af84582c23ad05ebfb

Observation 96fc1a5b-e182-4b8c-b6ba-abd7214f2779 · inbound

Hierarchical Behaviour Spaces cites this paper.

Hierarchical Behaviour Spaces Learnings Options End-to-End for Continuous Action Tasks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:12.814071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T03:33:48.527621Z digest=sha256:0799dbae3f56f6819b20559f085f76b5964e89057de42c6156040852dce93668

Observation ce45e8d6-6bf1-463c-9915-45efdf6e1743 · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Learnings Options End-to-End for Continuous Action Tasks

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:15:46.628982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:1a46b63f67c2baa25bfbbf5b2fe89fd54bb673f8abf49e2645e5057f30587024

Observation 895e1e8b-936d-4ac0-a525-3f8bbbf561a9 · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Learnings Options End-to-End for Continuous Action Tasks

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-06-30T22:15:05.965388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:60691d3703685c681e2ed4c2b39f5d4a95c4b67a4566bb7d62987282b018712a

Observation af30ee5d-5ec9-4cc8-830d-afd0fa978b90 · inbound

Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra cites this paper.

Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra Learnings Options End-to-End for Continuous Action Tasks

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-06-26T09:19:15.963740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T09:16:18.520375Z digest=sha256:53213eb11b54848b6962d6dbe99e1ba145d21308a4df974008f5943bccb258a7