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Paper Citation Record · LEDGER

Transformer Layers as Painters

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.09298.

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

pith.paper-citation-record.v1
2407.09298 v4

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:30.828566Z

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

1
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 36d0270e-e184-4005-a828-03c385484452 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Transformer Layers as Painters

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.239536Z

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=2026-05-12T15:39:40.845703Z digest=sha256:d85f4f8c20ce866c7a8dd25756f5bc711ec3735679a82541634ea48f19de84b3

Observation 610db4f9-7003-4e02-a179-f5376252a4f0 · inbound

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding cites this paper.

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding Transformer Layers as Painters

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:30.828566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:30.828566Z digest=sha256:868c0965274d86522042600afa5f44ac3f8e0aaf5358de923492df9729628c87

Observation ae21e43a-ad87-459a-96a4-d61fe2ab610b · inbound

Zero-Shot Vision Encoder Grafting via LLM Surrogates cites this paper.

Zero-Shot Vision Encoder Grafting via LLM Surrogates Transformer Layers as Painters

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:09.868806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:09.868806Z digest=sha256:1862c3bcb43b4450983829f513ab45da6f47361f28ee5dca79375d1ba9bb5f6b

Observation c3bee7d3-799a-475c-b787-3d1d731421cc · inbound

ART: Attention Replacement Technique to Improve Factuality in LLMs cites this paper.

ART: Attention Replacement Technique to Improve Factuality in LLMs Transformer Layers as Painters

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:50.989339Z

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=2026-05-10T19:48:22.430128Z digest=sha256:03ea9d19ad4bb8c6ec43faf047f17dfd467adc64f48ab5a40a9997b4ca69e5d5

Observation 6223c620-3063-4de4-99ce-3fed209bc660 · inbound

Rethinking Depth: A study of the Recursive-Transformer for Speech Recognition cites this paper.

Rethinking Depth: A study of the Recursive-Transformer for Speech Recognition Transformer Layers as Painters

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T03:37:35.911686Z

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=2026-06-27T15:01:02.462134Z digest=sha256:9de9a62c0f3fe43b2704924e4d4681d6e103a9fbc8f79631b1a10df12a869327

Observation 2896ce7d-8592-48c1-9175-4f5257a5f3e1 · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling Transformer Layers as Painters

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.845154Z

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=2026-06-29T04:59:00.304723Z digest=sha256:e80aa7c4f026da122092dbdcb861603c3719fa2d9db173668285b94f846ccc5a