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Paper Citation Record · LEDGER

Deep Information Propagation

As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:14:03.658427Z

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

  • 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 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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T02:42:34.938163Z digest=sha256:17c19ca5c23388cac26dcc88716375781ebe7815750df30189eb3baf8ce15c73

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

Resolution
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 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-17T23:23:07.672908Z digest=sha256:093cef48bffca4ea233cd67a16bcb85812b1e39d2860df5891f8339d76bab0b9

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T15:38:41.125901Z digest=sha256:bdbd31c6d3565f0108e0e4f3d0df3c80a2ff78d6726d66cf7cbe7f1d634ce123

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:52:21.272304Z digest=sha256:1b336489699263a866a40e544b2d331644706641072465973737f0703ff09404

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 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-15T04:45:20.091598Z digest=sha256:6628ccfbc66e4ff505f5f47d625f46959e7576411e91d6d6d9b130e73658619e

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

Resolution
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T20:41:59.878583Z digest=sha256:9192951e3d092acac3b4f3448a56a015a8016d404bcf6b9e86986f3d2412318b

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-27T22:56:35.023986Z digest=sha256:c4d6d67cae6ae35578f478ec49e5ebe7c8ce43be4823bec980229f75b5cc0eca

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-26T18:02:39.721547Z digest=sha256:984539d5bf93e7e5c40ea21f570175de8ea4582cf6837566e07141ada6c7dc15

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

Resolution
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=sha256:710a9a9d52152f3807f8994d6cd968e2f434f8ff382dc9cdcfed27be4e8b04bc