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Paper Citation Record · LEDGER

Effects of Degradations on Deep Neural Network Architectures

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.10108.

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

pith.paper-citation-record.v1
1807.10108 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:24.808208Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.136436Z

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 2b14ba7b-7756-4ebd-b137-94e0e4e61ac0 · inbound

SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks cites this paper.

SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks Effects of Degradations on Deep Neural Network Architectures

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:24.808208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:24.808208Z digest=sha256:d5020c7b809e743b2779365001ad176bab14b6c833e92130652583884a587e7a

Observation b46d39f5-e881-4a00-be55-4c7390253c26 · inbound

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need cites this paper.

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need Effects of Degradations on Deep Neural Network Architectures

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:32.114370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:32.114370Z digest=sha256:3c4a1ca7957544685231271149461377184042d0b1da9fac101e2b27225a1cf4

Observation 8e7b3f5e-d18d-4663-aaaa-ed40bd7f82da · inbound

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning cites this paper.

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning Effects of Degradations on Deep Neural Network Architectures

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:16:28.612215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T06:40:40.832348Z digest=sha256:69fbb516c7571421e4b193bc3ea0b227a01c060fce61f6a677d747ca34d05b36

Observation 90f646a4-1607-469a-966b-579e21ed65a9 · inbound

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation cites this paper.

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation Effects of Degradations on Deep Neural Network Architectures

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.148928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:55:43.287342Z digest=sha256:2901d90d7cdab66ca1a0fb197b7f0f0082b3b8c569a0966c0406c607089ca4ff

Observation 62ce11ae-4cbc-4238-90ce-30eaf9a72eb0 · inbound

Hidden-Shot: Towards One-Shot Task Generalization for Low-Level Vision Generalist Models cites this paper.

Hidden-Shot: Towards One-Shot Task Generalization for Low-Level Vision Generalist Models Effects of Degradations on Deep Neural Network Architectures

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:48:55.138453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T20:46:15.893888Z digest=sha256:aebec0eedad6765e59eb305d1ea0e6d5a84e07f267e17e4bf216c99a52fb145c