Paper Citation Record · LEDGER

System-1.x: Learning to Balance Fast and Slow Planning with Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.14414.

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

pith.paper-citation-record.v1
2407.14414 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:43.753022Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T15:14:26.080043Z

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 e1f8baa8-79c7-459e-8b05-509349596135 · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 292

Resolution: unresolved; no resolver link, observed 2026-08-16T12:02:43.753022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b76cd7-a7ca-4d6f-a460-fff577dd0fa1 · inbound

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning cites this paper.

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:58.863587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2383e972-0fb0-438a-8cd1-dd286dfd0d9f · inbound

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts cites this paper.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:39.636881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2cb781-bd9d-48fe-ad48-cb34b7d70b06 · inbound

PATS: Process-Level Adaptive Thinking Mode Switching cites this paper.

PATS: Process-Level Adaptive Thinking Mode Switching System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:22.067017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b80eeb-b7f3-4222-9b66-c3b71036b34a · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:04.331107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317096f0-0c87-44bf-90df-9e72b69a0406 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.082621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9788e6a9-8312-440a-b2d3-0e006353037f · inbound

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents cites this paper.

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:46:32.095911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c602f60a-ecbd-4e69-a644-bbf5450c91f0 · inbound

TypeGo: An OS Runtime for Embodied Agents cites this paper.

TypeGo: An OS Runtime for Embodied Agents System-1.x: Learning to Balance Fast and Slow Planning with Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T07:35:42.995772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.