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Paper Citation Record · LEDGER

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.15319.

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

pith.paper-citation-record.v1
2405.15319 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:43.872040Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:33:36.180987Z

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 6d8a98c9-e35b-4eb0-918c-f0f7d566c5ce · inbound

AI Governance through Markets cites this paper.

AI Governance through Markets Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:43.872040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:43.872040Z digest=sha256:97553eff16e2f29d4880190faa134583555c7dfbfdbf89cb8d9ed21461a3ac82

Observation 2a90d32c-9fd5-4821-a316-a649dcc32ee8 · inbound

Scaling Laws for Upcycling Mixture-of-Experts Language Models cites this paper.

Scaling Laws for Upcycling Mixture-of-Experts Language Models Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T10:21:00.701046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:21:00.701046Z digest=sha256:dafd49134ed5d3c9f5fa1dbc65492bbd25a5faeb293afd6719a633607d05c2cc

Observation e6742996-5fe6-4bec-8339-1ce97c92bb9b · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:58.733791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:58.733791Z digest=sha256:49cf2891056bd2a2796215118b97aa6b4f193360cb361d71a08d16ec1f5c9523

Observation 277b88b9-20c0-49e4-b1eb-45e278e1b544 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:46:09.994790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:09.994790Z digest=sha256:1a83496e7fafecf19016c8cf0f16babadbc7b797164d7a59bf77c2966a4f5970

Observation baa2dc64-2a0f-4af0-94fb-146d0b2a7bf1 · inbound

Mitigating Catastrophic Forgetting in Continual Learning through Model Growth cites this paper.

Mitigating Catastrophic Forgetting in Continual Learning through Model Growth Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T12:49:51.237923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:49:51.237923Z digest=sha256:590081dfdaca895145ca1563f11650d6e0f5be586842105aeee8bca301e87b04

Observation bcbf01fe-9013-4aa4-8212-25d32e927dbd · inbound

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training cites this paper.

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:33:36.243759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-04T23:33:33.313780Z digest=sha256:3442eceaff3ac27bd576d4050e4b173dffe62ba9f1bb937f2aa394966146af90