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Paper Citation Record · LEDGER

Controlling Large Language Model with Latent Actions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.21383.

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

pith.paper-citation-record.v1
2503.21383 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:46.668229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.740196Z

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 98dc69be-baa6-438e-8347-93f9b4bf7439 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Controlling Large Language Model with Latent Actions

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:46.668229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:46.668229Z digest=sha256:a61539a0cc7e7c17de5388fc82336baa5522c054eb0ed03564db7fdd8ff52bbe

Observation 11797ada-e311-4259-bce7-bb4206757cc2 · inbound

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning Controlling Large Language Model with Latent Actions

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:01.009132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:55:01.009132Z digest=sha256:cb3917677e171e028b12d49256db999b35e04e062ed65791a98003d56017d24e

Observation aa9710f5-90fe-4313-bdff-ffa6998b74a0 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Controlling Large Language Model with Latent Actions

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:40.741615Z

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=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:c7376b935af6eebd62d6491cf9d86294e7a9802467a4ff51a174b6deaa9e5363