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Paper Citation Record · LEDGER

Ultra-Low-Latency Edge Inference for Distributed Sensing

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13360.

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

pith.paper-citation-record.v1
2407.13360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:27.089666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:35:55.911444Z

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 4bb1f4f0-76d2-4a6c-b60c-abc009356cc9 · inbound

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading cites this paper.

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading Ultra-Low-Latency Edge Inference for Distributed Sensing

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:35:55.919285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T02:33:52.324469Z digest=sha256:4bdc6192c988b547d7819509fec8462a28e60e3a871fa870b9d92adf707b6d5e

Observation 173ed8f6-de3f-4e2f-8dc2-2edd0d7a39a9 · inbound

Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading cites this paper.

Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading Ultra-Low-Latency Edge Inference for Distributed Sensing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:27.089666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:27.089666Z digest=sha256:56b19bff70d4f48012ba54f5cfcb9b197a379a0206faa0d7f82df7b2bfde7e43

Observation c99a325e-94fa-467a-a4cd-57f1566cb2b1 · inbound

Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees cites this paper.

Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees Ultra-Low-Latency Edge Inference for Distributed Sensing

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:46.349651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:46.349651Z digest=sha256:3b36874b63bbc2f31f2dc65e1f7e9059e04c7af44f013fc892fb4d09c478cf2a

Observation a08dc60b-0623-4f82-9f19-a6eebe39971e · inbound

Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity cites this paper.

Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity Ultra-Low-Latency Edge Inference for Distributed Sensing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:01.159038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:37:01.159038Z digest=sha256:24f1e518855f93af99b5e01201df36a58c5e86db942211074d7654f46e67bfc6