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Paper Citation Record · LEDGER

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks

As of 15 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2511.12723.

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

pith.paper-citation-record.v1
2511.12723 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:49:03.852839Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bbdbf24-fb21-43d2-ba55-e88c8ab5d085 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:02.838739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:02.838739Z digest=sha256:8c33ba1106d9e82e4365a76dfa9a46d78dcec98b7a715354300d5c66325660cb

Observation 0f757afa-d236-422a-9057-d7e12221f334 · outbound

This paper cites Deep contextualized word representations.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Deep contextualized word representations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.194427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.194427Z digest=sha256:3383c2fa4938f9523f4213b9fe1a833bbf0e02f9346cf925615d93f109a68971

Observation ecfa0419-0987-47ef-9dc1-d597c8e33ceb · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.421225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.421225Z digest=sha256:3c278379f2b4de964f674858edd172fb35ab66a94aecfdcb3583cb270cb3e62c

Observation a23ca989-1195-4042-82e2-5372f506bd2b · outbound

This paper cites Layer Normalization.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Layer Normalization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.642302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.642302Z digest=sha256:a778a6d46cdf2155762414e2e5e5632c05fdd5c5c8ea3c8e69952edac58e7c72

Observation 434397fb-ed56-40e3-8ecd-d7aa1209e345 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.852839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.852839Z digest=sha256:12d3c28d326bfde9707e575c6cad9df49f361b713a6d644789990179802893a2

Observation 937d699f-4808-4dcf-b47e-1287c53ecdeb · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:02.983041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:02.983041Z digest=sha256:e219208357a18df185aed832fed8889da6b49ed53b5c6d90edf88cc94c69a39f

Observation b7a5d247-eb7e-48ac-b71c-8961b7cd1107 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Gaussian Error Linear Units (GELUs)

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.748110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.748110Z digest=sha256:18d6f86732ff8cf268f1db32be831ec80fba0614d587e2096309686d8d421e3e

Observation 112b0542-eb00-4681-a226-50474b3ae690 · outbound

This paper cites BERT Rediscovers the Classical NLP Pipeline.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks BERT Rediscovers the Classical NLP Pipeline

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:02.760728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:02.760728Z digest=sha256:2d89875362bd2276854d0171bc71d2de0442e5e319603c626e72ce7cf447594c

Observation 18f3f2f6-6315-4e51-8e89-973eab221b2d · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.286561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.286561Z digest=sha256:cd9e4445b6cea1f0d32edfa9bb5a6786bbc2297842d5829d4c13cc91232aed13

Observation 7d214869-9b5a-4b88-aa99-5d4e0f696531 · outbound

This paper cites Cross-layer Attention Network for Fine-grained Visual Categorization.

LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks Cross-layer Attention Network for Fine-grained Visual Categorization

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:03.084671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:03.084671Z digest=sha256:71d0e672427ac019667b4745e20bdf196f98f48957737c3431c439734087b5a2

Pith citing papers

No inbound Pith citation observations are available.