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Paper Citation Record · LEDGER

Simply Stabilizing the Loop via Fully Looped Transformer

As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 2 inbound Pith citation observations for arXiv:2605.18797.

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

pith.paper-citation-record.v1
2605.18797 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:15:47.909334Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:54:11.093934Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T17:08:44.026814Z

Reference resolution

3 of 3 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation deeb909c-b268-4e8f-9303-1299f6789239 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Simply Stabilizing the Loop via Fully Looped Transformer DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:05:47.256805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:15:47.909334Z digest=sha256:589bebbbe4659041c20341bfb3791af8fe96ad78b8247fe45a02f17ab62e8931

Observation 58356cfd-e628-4e0e-a311-0f09c6926e3b · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Simply Stabilizing the Loop via Fully Looped Transformer The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:05:47.259577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:15:47.909334Z digest=sha256:612c805007293ecc6a8fc6a750737f1e02bb9c15a50646e756431d79c2382872

Observation 179ecece-900d-401e-86c9-a166afde2f41 · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

Simply Stabilizing the Loop via Fully Looped Transformer Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:47.263372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:15:47.909334Z digest=sha256:3ad2da5aa307ff2eb71e1bf211527a283df7672c28f9e43991637ca4ab55dc97

Pith citing papers

Observation da55db1c-8faa-494b-aeef-4edd9b310238 · inbound

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models cites this paper.

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models Simply Stabilizing the Loop via Fully Looped Transformer

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:08:44.028140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T04:27:48.590008Z digest=sha256:21189946296e146144b56bcf6bfd641928c1c090d2192a1803b16941a8677fa0

Observation f3b1ff7c-eaf6-4d60-b434-edcf7a3001bf · inbound

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

LoopMTP: A looped transformer guided by latent multi-token prediction Simply Stabilizing the Loop via Fully Looped Transformer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T15:54:11.093934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:54:11.093934Z digest=sha256:ed95d91bffeaa44cf7b6d9ce1712eb60359acb9e5478e6b5f878eb04f49dc379