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Paper Citation Record · LEDGER

Do language models plan ahead for future tokens?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.00859.

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

pith.paper-citation-record.v1
2404.00859 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:18:48.095048Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 79172315-c762-48d2-9717-f7fff66c6ea6 · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Do language models plan ahead for future tokens?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:48.095048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:48.095048Z digest=sha256:18a762478d7061d4d09cc9e6658108d4900826bf9345895208539586ca772ab5

Observation 032c77c9-9550-4b5e-8b5b-9860c7f421c0 · inbound

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

Large Language Models for Planning: A Comprehensive and Systematic Survey Do language models plan ahead for future tokens?

Reference 282

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:10.022329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:10.022329Z digest=sha256:fe19fdcdb146ae836e14e93fc74871f9ae6ae5a1ea227751d7f597b9cb5aaf73

Observation c4f68c85-d20a-4d0d-aa16-df02c0f75358 · inbound

Understanding the learned look-ahead behavior of chess neural networks cites this paper.

Understanding the learned look-ahead behavior of chess neural networks Do language models plan ahead for future tokens?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:48.246055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:48.246055Z digest=sha256:6ff3186782bb4dbde61a93e2becc844a0f380766d8f5956755a4fe3694faef16

Observation 0eefca89-f578-4094-ab4a-84ff40d6f651 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Do language models plan ahead for future tokens?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T21:33:29.579097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:ca5c68bbca5ca5d9c98b1430afe9aaf27ffc1dd4ebdda36eb4cd4c797c2123c0