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Paper Citation Record · LEDGER

Deep Networks with Stochastic Depth

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1603.09382.

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

pith.paper-citation-record.v1
1603.09382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:12:55.549343Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

287
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 89bd95a5-2bb6-42ff-831d-4e1869cf62d3 · inbound

Wide Residual Networks cites this paper.

Wide Residual Networks Deep Networks with Stochastic Depth

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:25:01.590718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T01:25:01.541385Z digest=sha256:3ed77deb094c4fa637b704f418bdfa3ac5a1480cb102a3f35bcbb796c2911bfa

Observation 9f7cce13-4611-4087-8794-823ca8372a62 · inbound

Sharpness-Aware Minimization for Efficiently Improving Generalization cites this paper.

Sharpness-Aware Minimization for Efficiently Improving Generalization Deep Networks with Stochastic Depth

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-16T20:13:53.445773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T20:13:53.366151Z digest=sha256:964462d44482fbb4c4374bf731c3306b2e0b8db0b06c26de5483507fdf93e3c6

Observation 54f338e3-6474-4edd-b1f6-0adef5b12bfe · inbound

A Generalist Agent cites this paper.

A Generalist Agent Deep Networks with Stochastic Depth

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:24:50.017616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T06:24:49.833638Z digest=sha256:c0ea0dc8350d51fecae5e6effa922e573f80087d55bd3c9f00a7646c92039d0d

Observation b885ca67-453a-455b-8651-93091ea8ce05 · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics Deep Networks with Stochastic Depth

Reference 130

Resolution
verified exact
local_arxiv, observed 2026-05-24T10:24:20.302493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T10:22:00.419523Z digest=sha256:779e8b19c6e4cdba8d730db947c2a39f94b7b0e8242943b49b3da3d75e2427e7

Observation 27488329-4212-45b6-8585-adba29bf4fb6 · inbound

Fine-tuning Whisper on Low-Resource Languages for Real-World Applications cites this paper.

Fine-tuning Whisper on Low-Resource Languages for Real-World Applications Deep Networks with Stochastic Depth

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T11:12:55.549343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:12:55.549343Z digest=sha256:35e4e78f060dabafb136d97c5dccc637e7a4c3f7aa6f7d080509c1dea0f137d4

Observation abfc7cc8-a5a8-4199-ac2d-83377adf7c85 · inbound

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts cites this paper.

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts Deep Networks with Stochastic Depth

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:57:49.878540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T11:54:13.437972Z digest=sha256:8c10189271a7c65ba50114f57963ac9a30b3275516ae85d64d3db09a0bc692fa

Observation 81e5178b-376e-4364-bcc6-5f5728d8e150 · inbound

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

Subcritical Signal Propagation at Initialization in Normalization-Free Transformers Deep Networks with Stochastic Depth

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:06:03.698717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:38:41.125901Z digest=sha256:c2fd96cf0958b08cb2819fa0f8d80faa120108ddc16c6d2daa864568a609677d

Observation bf3bceac-df19-43cd-86e8-81cd7213e8a5 · inbound

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence cites this paper.

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence Deep Networks with Stochastic Depth

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.910147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-11T01:29:42.155717Z digest=sha256:00ba90bff91254635c2b614c2ec601979a5159922935b37028fdcc184b3fcb06

Observation c87ad6c5-002d-473a-8221-335c6fb9302c · inbound

mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters cites this paper.

mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters Deep Networks with Stochastic Depth

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:21:16.640898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:20:09.117562Z digest=sha256:4255ae09c384f12db2924361350666cae99fae0992c9da1fcd8a9bc6cc1a3655

Observation 88d4baf9-adb5-4e9a-9d41-6407e3ad3d69 · inbound

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping cites this paper.

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping Deep Networks with Stochastic Depth

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:34:21.642148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T07:29:23.786653Z digest=sha256:2308d2eab24595ca5b115ed79cd4dc9e3cc4058b48bb51845735dddf8aa89cfe

Observation 9f1c8ef8-3c1c-4b68-9139-2acf38c3c780 · inbound

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials cites this paper.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Deep Networks with Stochastic Depth

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T10:08:16.536665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:08:16.536665Z digest=sha256:8bf6fc7342acae5baadc2e6892703a7918cdd337e8a7fb2a50a119da4c08ee7c

Observation 73a9edc0-9052-4739-a1f3-bb9d864fee75 · inbound

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation cites this paper.

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation Deep Networks with Stochastic Depth

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:26.876525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:29:26.876525Z digest=sha256:53ce5a05a14e539697698c11e1d6e228c3db8ead26e3e16bd6f510e045ee6ee4