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Paper Citation Record · LEDGER

Learning to Plan for Language Modeling from Unlabeled Data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.00614.

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

pith.paper-citation-record.v1
2404.00614 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:37:01.056741Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:54:20.239524Z

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 d8c4600f-9acb-4803-9ab4-739d76dea569 · inbound

Large Concept Models: Language Modeling in a Sentence Representation Space cites this paper.

Large Concept Models: Language Modeling in a Sentence Representation Space Learning to Plan for Language Modeling from Unlabeled Data

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T17:37:01.056741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:37:01.056741Z digest=sha256:f6a03a45c673e0d7a76ad3f8add622d1ddc0f02770323afae0d14f9308c0f5a4

Observation 3c568e56-1960-47dc-938d-9b4e23eb5c24 · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Learning to Plan for Language Modeling from Unlabeled Data

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T16:18:47.984987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:18:47.984987Z digest=sha256:f9da9039fbfaefa6293f089240f5c28a48978b8ac5938c18ba22d6b1b41b479a

Observation 3a9a8852-c25d-460b-b3ae-a3b91de0674f · inbound

Temporal horizons in forecasting: a performance-learnability trade-off cites this paper.

Temporal horizons in forecasting: a performance-learnability trade-off Learning to Plan for Language Modeling from Unlabeled Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:56.737122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:56.737122Z digest=sha256:afe5f699679fcc330184f67d744ef90ca079d7c96e9c9d248cc14e378c9c782a

Observation b5488ebd-d097-4d2c-979e-0c7c61ef61cc · inbound

LoopMTP: A looped transformer guided by latent multi-token prediction cites this paper.

LoopMTP: A looped transformer guided by latent multi-token prediction Learning to Plan for Language Modeling from Unlabeled Data

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T15:54:20.376613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:54:08.115113Z digest=sha256:655a325029fd874cf7a8f6527cfdc8353f07465e4da375a5dccd318f20ae88a8