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Paper Citation Record · LEDGER

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.13795.

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

pith.paper-citation-record.v1
2412.13795 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:18.461312Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6ce60a9a-7ba9-4126-bdf4-772657ddd940 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:18.461312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:44:18.461312Z digest=sha256:e91221ea0b4bb8a64285e09dbf101a0a14dd05b08e444f2779650564defc8400

Observation a7ead766-3b43-466f-b27b-331c1a18ecf0 · inbound

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling cites this paper.

GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:21:10.135364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:21:10.135364Z digest=sha256:57fb099ee5157fc64f80efc25a323f05f4936deb0a0e8809942130c96445dfb4

Observation 0c3e22a9-0f0c-4540-bc49-1ae4682b283b · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:47.507878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:47.507878Z digest=sha256:c291bbe0c4d8fdba108f8f2567101ed97a5a8db64e5d67f20168a28c1a797810

Observation 2844be7e-0df4-4760-9536-d9621466bdba · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:48.672256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:00:48.672256Z digest=sha256:032797ccd9bf3ff8cd86aa7abf2d962ef69cc2c2f0cf25b6e8a585e3b3d36a4b

Observation 031a2822-67d9-4a01-98b9-916d66d7168d · inbound

When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.

When Does Sparsity Mitigate the Curse of Depth in LLMs Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T20:29:33.439034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:29:33.439034Z digest=sha256:3129c98e22335f5972072b7e462974f9c7619b9dc9a093f76e9631e25d956ff1

Observation 8b954a05-1d0a-4d8f-b9ed-6508d39da1a8 · inbound

Layer Collapse in Diffusion Language Models cites this paper.

Layer Collapse in Diffusion Language Models Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:18.899651Z

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=2026-05-08T12:52:12.104539Z digest=sha256:6d3c3ff7b984ce17b1e5fda8d371eeea04304ee88234966847715ab2788dd193

Observation 842d8124-f168-400f-93e9-c1028eab88f4 · inbound

Layer Collapse in Diffusion Language Models cites this paper.

Layer Collapse in Diffusion Language Models Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:19.183050Z

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=2026-05-12T03:13:32.889304Z digest=sha256:bdb2d75db1fcb2265f7897d9b12e9a57215e4f2e10af9ff9964dad3982d39368

Observation a024ae2e-df91-435a-b74e-9d398979b863 · inbound

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry cites this paper.

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-26T05:29:00.085809Z

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=arxiv_source observed=2026-06-26T05:22:26.818078Z digest=sha256:7e3ec7549805e0b28cdb031c5a977ceaea149d57de58071edc743c447968536d