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Paper Citation Record · LEDGER

Deep Information Propagation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:1611.01232.

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

pith.paper-citation-record.v1
1611.01232 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:53:26.111572Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T03:29:30.166978Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 a729c0a1-bdc0-47e6-a528-f0763aaee1c1 · inbound

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective cites this paper.

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective Deep Information Propagation

Reference 24

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no resolver link, observed 2026-08-14T10:36:29.674384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:36:29.674384Z digest=sha256:698ec5346a338aba8d37be8c4e1255576d7b244ed18c971b138ab1701b9e4943

Observation bc322ffe-e707-481a-9f24-a35bb12b1988 · inbound

Revisiting Glorot Initialization for Long-Range Linear Recurrences cites this paper.

Revisiting Glorot Initialization for Long-Range Linear Recurrences Deep Information Propagation

Reference 16

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no resolver link, observed 2026-08-07T14:14:09.775884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:09.775884Z digest=sha256:0878398429a7d966cf5c0e072512bad96ee903a6eec1e116ed3a5672e62709de

Observation 120f9c98-814a-471d-a281-3a935a69228d · inbound

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation cites this paper.

Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation Deep Information Propagation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:44:32.172845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T02:42:34.938163Z digest=sha256:b66b6f12d61c580508f40991891a9029cb258aa521271cd4ab1280a920fadac2

Observation 4aaf9a34-45f3-46e3-bf4c-199425e2134a · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Deep Information Propagation

Reference 47

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no resolver link, observed 2026-08-07T11:57:22.825593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:22.825593Z digest=sha256:0e25bff16e10255f413e32fbde50f2d4fb1a4a591cc005f88514643286fd43da

Observation 456412ab-7e65-42a1-bd13-e3f0578b0bca · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Deep Information Propagation

Reference 20

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no resolver link, observed 2026-08-07T11:23:40.067605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:40.067605Z digest=sha256:b7192636cb7b4f5e24d8caa36346f1ef8e3c08036642d599af526b4dcd653e0e

Observation d1811a32-701b-46bc-9a0f-716da38d2905 · inbound

Towards Distributed Neural Architectures cites this paper.

Towards Distributed Neural Architectures Deep Information Propagation

Reference 20

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no resolver link, observed 2026-08-06T22:14:19.643965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:19.643965Z digest=sha256:ddb086455d4eb390eb24cc40cc65ca63b7b9f648ae9c0419475600b5ce37ec93

Observation becde22c-1635-472e-aab0-be941aa1c06f · inbound

SingLoRA: Low Rank Adaptation Using a Single Matrix cites this paper.

SingLoRA: Low Rank Adaptation Using a Single Matrix Deep Information Propagation

Reference 13

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no resolver link, observed 2026-08-06T19:38:16.313257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:38:16.313257Z digest=sha256:15fbaccb7d0ea59d338a7eb30d8fcc73f1cff2a6538b2f008ec15a9e297eb7c0

Observation b09b980d-6478-4ff2-b8c9-3f232b86d2ac · inbound

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks cites this paper.

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks Deep Information Propagation

Reference 35

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no resolver link, observed 2026-08-05T13:54:41.698132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:54:41.698132Z digest=sha256:2a21434e1596e925de3f372c0d7a229ca0bf18f95db32d70b76fbc8ef36d538f

Observation 91b4c246-d143-4ba4-89b9-a33bb09c7adb · inbound

Criticality of a Stochastic Dense Associative Memory Model with Exponential Interaction Function cites this paper.

Criticality of a Stochastic Dense Associative Memory Model with Exponential Interaction Function Deep Information Propagation

Reference 38

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no resolver link, observed 2026-08-15T15:53:26.111572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:53:26.111572Z digest=sha256:794acd6fd8f1a5c6a9edf68360c6f88e4c0878d20e97717b5e2799e1ace76776

Observation d34f3d95-865d-4b15-aa00-c3c8d3303539 · inbound

Bulk-boundary decomposition of neural networks cites this paper.

Bulk-boundary decomposition of neural networks Deep Information Propagation

Reference 4

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no resolver link, observed 2026-08-04T00:22:01.013461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:22:01.013461Z digest=sha256:67f844fb29497301a68fdb08f132f2151472e50840bd3b2f2079f3744a4aa939

Observation 78502a65-f3e7-49fc-8cc0-b34d38abddbc · inbound

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation cites this paper.

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation Deep Information Propagation

Reference 45

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metadata mismatch
local_arxiv, observed 2026-05-17T23:25:28.603252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-17T23:23:07.672908Z digest=sha256:6165fc4a9b96d2dfe4e7127a01b7c80284f9fbb36e9388fac52442f97c7fa6a9

Observation 4a2efeed-8a1b-454c-a3bc-778c4e1291bc · inbound

Subcritical Signal Propagation at Initialization in Normalization-Free Transformers cites this paper.

Subcritical Signal Propagation at Initialization in Normalization-Free Transformers Deep Information Propagation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:06:03.682344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:38:41.125901Z digest=sha256:999cedff57d21576fcd747bd1226c73d9d040da93f502cceb319fa9e5103600b

Observation d7d8a3c9-0668-4830-b2eb-eaf731498330 · inbound

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences cites this paper.

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences Deep Information Propagation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:06.066794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T17:52:21.272304Z digest=sha256:d2015eaf469b1debacf9d35235b9ec96e312c9f0b820b3d4b4e29eff4e355f5a

Observation 35d15c94-1f06-4727-8518-b82f3a588e88 · inbound

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization cites this paper.

How to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization Deep Information Propagation

Reference 101

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T04:49:44.880398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T04:45:20.091598Z digest=sha256:001ccfbbdcedf1516a592118126f7fcb4755f3af9cfa6a83a21c06dffc65b820

Observation ce654725-ac12-425c-8b7d-68b3763efbdd · inbound

Bayesian Inference with Shaped Deep Non-linear MLPs cites this paper.

Bayesian Inference with Shaped Deep Non-linear MLPs Deep Information Propagation

Reference 17

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malformed identifier
local_arxiv, observed 2026-06-28T20:42:37.070419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T20:41:59.878583Z digest=sha256:f2d619154300ca8d5308d9b3251aa738105c2b95caf6420edee4c2ea2377ff66

Observation b6de8b86-f6f3-4a8c-b0ce-0a054cef14b6 · inbound

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning cites this paper.

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning Deep Information Propagation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T16:07:09.179461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T22:56:35.023986Z digest=sha256:8869fade2319e5237bd5960b8fa75ae6065910b90dd5d4f32ef35d11e7f7904f

Observation 6678b179-f594-4e8a-adbc-dcf1cff966d8 · inbound

Physics-Informed Neural Network with Squeeze-Excitation-like Attention cites this paper.

Physics-Informed Neural Network with Squeeze-Excitation-like Attention Deep Information Propagation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-04T03:29:30.168785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T18:02:39.721547Z digest=sha256:d505a468fb63a6931b7aff63a8356e935e7a9e99eca7b94cb6560da17ddc0bda

Observation 4bfc1c71-8252-447b-a964-4b4e31d044f0 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Deep Information Propagation

Reference 56

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unresolved
no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:14:03.658427Z digest=sha256:363105da1365d2d131fcbe8be00af434a07453b06245ceacf455a2f8dd164dac

Observation 0842dda1-9592-4d32-9138-4e92b25f50ff · inbound

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks cites this paper.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Deep Information Propagation

Reference 59

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unresolved
no resolver link, observed 2026-08-02T02:48:52.886634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:48:52.886634Z digest=sha256:d37d695a17781485ffb19a58549de69e459be0e835e4c23e1b3e0709a40f105c

Observation 177b8243-6cb5-487a-bdc6-587bb1822601 · inbound

Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries cites this paper.

Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries Deep Information Propagation

Reference 66

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no resolver link, observed 2026-08-15T15:33:31.966282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:33:31.966282Z digest=sha256:2701c6a25da386bfdc93024181a2a024ed7394c6db4af1c72b3bef0edfbccecf

Observation f3fa056c-5fa0-4c49-8054-bf77b9692a52 · inbound

Chaos in reason: How chain-of-thought LLMs can look for an answer cites this paper.

Chaos in reason: How chain-of-thought LLMs can look for an answer Deep Information Propagation

Reference 10

Resolution
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no resolver link, observed 2026-08-01T01:11:33.858209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:11:33.858209Z digest=sha256:b9ab2f2f937d94c07d1b7ee3c534220bf430fbec24525ac2dd6a43541c3c841e

Observation 92235a82-0472-430c-9692-f4f1576e9fef · inbound

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Deep Information Propagation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:13.829735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:13.829735Z digest=sha256:952686816f224f13c8806f8c45e8e59c38bd963bc90fa61707aeef47de70da21

Observation 7e3aa621-96d6-473b-80da-b0a404dfd4f4 · inbound

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Deep Information Propagation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:38.132515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:21:38.132515Z digest=sha256:98f70edc79b1d686eab8e7e09054baca5755859f651babaf23ff413f876286ed