Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dive into Deep Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.11342.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:38:16.111976Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:55:44.754503Z
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 4f00ffc5-31df-42a3-8496-1744b6705ff9 · inbound
Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information cites this paper.
Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information Dive into Deep Learning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:55:44.761000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01316d72-d7df-47e6-b684-5c662a6bef6f · inbound
TOBACO: Topology Optimization via Band-limited Coordinate Networks for Compositionally Graded Alloys cites this paper.
TOBACO: Topology Optimization via Band-limited Coordinate Networks for Compositionally Graded Alloys Dive into Deep Learning
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:38:16.111976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eb2ba94-68e3-4460-bbd9-62f728a06851 · inbound
RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations cites this paper.
RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations Dive into Deep Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:50:01.461851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.