Paper Citation Record · LEDGER

AI Flow at the Network Edge

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2411.12469.

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

pith.paper-citation-record.v1
2411.12469 v4

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:33:01.492930Z

measured 16 of 16 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:24.507221Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:43:28.700718Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4541d09-4cfc-43d9-842e-108bcba4d505 · outbound

This paper cites Language models are few-shot learners,.

AI Flow at the Network Edge Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.763029Z

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.

Observation 879af84a-2045-488d-8dd5-67b5cc5990f7 · outbound

This paper cites Visual instruction tuning,.

AI Flow at the Network Edge Visual instruction tuning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.747140Z

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.

Observation 84ff82b5-45d8-4a0c-8a20-2a04ce000300 · outbound

This paper cites A survey of embodied AI: From simulators to research tasks,.

AI Flow at the Network Edge A survey of embodied AI: From simulators to research tasks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.731448Z

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.

Observation 12ace23e-3ba9-4014-ac3d-4b696fec79b4 · outbound

This paper cites Sasha: creative goal-oriented reasoning in smart homes with large language models,.

AI Flow at the Network Edge Sasha: creative goal-oriented reasoning in smart homes with large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.714272Z

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.

Observation 09459ef8-0307-4c55-89fa-85c239156dbc · outbound

This paper cites Empowering smart glasses with large language models: Towards ubiquitous AGI,.

AI Flow at the Network Edge Empowering smart glasses with large language models: Towards ubiquitous AGI,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.697349Z

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.

Observation 5c49007b-9ec4-41a5-a022-d4ebb714a67e · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

AI Flow at the Network Edge Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.681212Z

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.

Observation 76b49dc0-22a0-4732-84e7-2e385623d043 · outbound

This paper cites Large language models empowered autonomous edge AI for connected intelligence,.

AI Flow at the Network Edge Large language models empowered autonomous edge AI for connected intelligence,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.664010Z

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.

Observation 73a108ba-ba96-49bc-a212-081370d793ec · outbound

This paper cites Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,.

AI Flow at the Network Edge Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.647159Z

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.

Observation e95026d7-bcb8-422b-a839-b2df41963054 · outbound

This paper cites Communication-computation trade-off in resource-constrained edge inference,.

AI Flow at the Network Edge Communication-computation trade-off in resource-constrained edge inference,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.630399Z

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.

Observation a19a855a-b59e-4d5a-9ae8-e0da37c188ca · outbound

This paper cites Deep variational information bottleneck,.

AI Flow at the Network Edge Deep variational information bottleneck,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.613613Z

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.

Observation adbbe43e-8973-4fc9-909d-9ae618844702 · outbound

This paper cites Learning task-oriented communication for edge inference: An information bottleneck approach,.

AI Flow at the Network Edge Learning task-oriented communication for edge inference: An information bottleneck approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.596112Z

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.

Observation 83544997-bdf7-4b7c-9f2f-c9d51e23d01f · outbound

This paper cites Fast inference from transform- ers via speculative decoding,.

AI Flow at the Network Edge Fast inference from transform- ers via speculative decoding,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.579863Z

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.

Observation f6f7e681-df58-4000-8ced-95ec74fe0668 · outbound

This paper cites Compressing neural networks using the variational information bottleneck,.

AI Flow at the Network Edge Compressing neural networks using the variational information bottleneck,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.563649Z

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.

Observation 1778e729-02a4-4997-9244-d16f693c1efe · outbound

This paper cites XAI-driven model design for resource utilization forecasting in cloud-native 6G networks,.

AI Flow at the Network Edge XAI-driven model design for resource utilization forecasting in cloud-native 6G networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.547062Z

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.

Observation eb8c6128-2fea-4edd-92c0-53e28a914536 · outbound

This paper cites Forecasting trends in cloud-edge computing: Unleashing the power of attention mechanisms,.

AI Flow at the Network Edge Forecasting trends in cloud-edge computing: Unleashing the power of attention mechanisms,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:33:01.530182Z

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.

Pith citing papers

Observation b9392537-a0f1-4965-96b5-45c6198b1dcf · inbound

Technical Report of TeleChat2, TeleChat2.5 and T1 cites this paper.

Technical Report of TeleChat2, TeleChat2.5 and T1 AI Flow at the Network Edge

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:43:28.800375Z

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.