Paper Citation Record · LEDGER

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.16033.

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

pith.paper-citation-record.v1
2406.16033 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:18:48.031046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.452559Z

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 6c679f17-77fb-4d98-a56a-60284d540402 · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T16:18:48.031046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027d2cb7-8b0b-4b7a-a572-cc99be388e3e · inbound

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents cites this paper.

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:43.709254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea670ab-a708-4f94-bace-52215524b2a3 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T09:48:07.526628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b9a1c7-8e3a-469e-9676-5bd052eb0a45 · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:26.455245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.