Paper Citation Record · LEDGER

Scaling depth capacity via zero/one-layer model expansion

As of 15 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 2 inbound Pith citation observations for arXiv:2511.04981.

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

pith.paper-citation-record.v1
2511.04981 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:39:21.740885Z

measured 9 of 9 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:03:02.654035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:06:15.371748Z

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a04ddf23-4aa0-43a4-91a8-4647f0d2c7ba · outbound

This paper cites Knowledge Inheritance for Pre-trained Language Models.

Scaling depth capacity via zero/one-layer model expansion Knowledge Inheritance for Pre-trained Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:21.096544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd660cdf-3628-46a6-b947-574615fd1ace · outbound

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

Scaling depth capacity via zero/one-layer model expansion Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-03T23:39:21.740885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e28a41-bcfd-4538-95d1-c3ce8c5e3651 · outbound

This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Scaling depth capacity via zero/one-layer model expansion OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:21.592158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb70ff31-cc98-45f8-b3e6-9251e85f40ad · outbound

This paper cites The Two Regimes of Deep Network Training.

Scaling depth capacity via zero/one-layer model expansion The Two Regimes of Deep Network Training

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:20.921704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bee81f-6904-4da6-9b69-abd2763410e7 · outbound

This paper cites On the Transformer Growth for Progressive BERT Training.

Scaling depth capacity via zero/one-layer model expansion On the Transformer Growth for Progressive BERT Training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:20.800255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a50dc8f-98b0-49fe-a54f-6b7bf0574cc0 · outbound

This paper cites LLaMA Pro: Progressive LLaMA with Block Expansion.

Scaling depth capacity via zero/one-layer model expansion LLaMA Pro: Progressive LLaMA with Block Expansion

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:21.382157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4942093c-d442-43f5-8540-317dc204028d · outbound

This paper cites DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.

Scaling depth capacity via zero/one-layer model expansion DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:21.218566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 629ecb62-a8fd-41d1-b531-e35527d8c23f · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Scaling depth capacity via zero/one-layer model expansion

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:02.017119Z

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.

Observation d0c5f464-a257-4846-914f-a9ecee8f5c4d · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Scaling depth capacity via zero/one-layer model expansion

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:02.017119Z

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.