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Paper Citation Record · LEDGER

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence

As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2502.09822.

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

pith.paper-citation-record.v1
2502.09822 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:25:14.897265Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T19:16:51.787216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:31.906999Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 649a5f71-d9b6-4c5b-bb22-8d645421c0a8 · outbound

This paper cites A paradigm shift in iot cyber-security: A systematic review,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence A paradigm shift in iot cyber-security: A systematic review,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.044986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.855944Z digest=sha256:8ade81d364b34d73b3eef0a6c0d647679d10a8f2d905368c925fdf769244e0f0

Observation 05b14531-0061-43e6-9a0d-af19c78f1505 · outbound

This paper cites Energy-aware mac protocol for data differentiated services in sensor-cloud computing,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Energy-aware mac protocol for data differentiated services in sensor-cloud computing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.036864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2fc29855-92cc-4910-9427-09591efbb7d0 · outbound

This paper cites Climate action - ericsson,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Climate action - ericsson,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.028229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.862682Z digest=sha256:bb5c9ee11481b58886e17d6ec46937ccead63930ac228ea9779223333848f923

Observation 2710eb91-5125-47ea-a860-d1a62b1c9e1c · outbound

This paper cites (2024) Up to 78 million batteries will be discarded daily by 2025, researchers warn.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence (2024) Up to 78 million batteries will be discarded daily by 2025, researchers warn

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.019664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.865787Z digest=sha256:0e93ad58db44968d2df82fca39a0df2226f046c6223fd93dcabf3b203747db79

Observation 7e54bb5b-eb4c-4986-a26d-787b225cafe6 · outbound

This paper cites Branchynet: Fast inference via early exiting from deep neural networks,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Branchynet: Fast inference via early exiting from deep neural networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.010983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.869112Z digest=sha256:fd84e5312c1aa6bd9d81e8aa61ba0ec0142a1ddecd1c6252224def4253e95359

Observation 1c049aed-0baf-42ce-bb71-8f62e38b8beb · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:15.002320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.872264Z digest=sha256:312c36cbff374f2f98b16108aaa9ce62682cc127b939710cc790c2d87974edf3

Observation 9a21755a-b3b5-4d73-935a-08289ff31013 · outbound

This paper cites Deep residual learning for image recognition,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Deep residual learning for image recognition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.992433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.876505Z digest=sha256:0d14b2c295fa68cac31c911c8b747b2b2520db5cbf5a88b6d94add33e3fdf11c

Observation c7ce7251-a096-4cf7-b0f2-fe6174cc0b01 · outbound

This paper cites Densely connected convolutional networks,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Densely connected convolutional networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.981554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.879308Z digest=sha256:72b198b8b8ade1c57a888ba0c3f99737049e4b71616b7e2ef4fe76e1e6b86bc2

Observation cc697e89-98bf-4ff2-99e3-57175cecd2c6 · outbound

This paper cites Nv-clustering: Normally-off computing using non-volatile datapaths,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Nv-clustering: Normally-off computing using non-volatile datapaths,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.971161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.882333Z digest=sha256:7a22d7fbd2671752aa782f824d55aef6f30f3b5aa598130313bfa232c48bf07a

Observation e10e7bdc-1176-467f-9af6-fa46255ddc9f · outbound

This paper cites Intermittent-aware design exploration of systolic array using various non-volatile memory: A comparative study,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Intermittent-aware design exploration of systolic array using various non-volatile memory: A comparative study,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.960889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.885235Z digest=sha256:61333bf3271bf516571b383c02e302777ba681ad1b19ee9baf8e0cf9ccb915d9

Observation 15d54f59-40aa-4d11-b810-8498656f758d · outbound

This paper cites Diac: Design exploration of intermittent-aware computing realizing batteryless systems,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Diac: Design exploration of intermittent-aware computing realizing batteryless systems,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.951213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.888240Z digest=sha256:0e44442b2d0b80460a1606907eb87104ad8c7a46ce31932b15d394dc9c82eddb

Observation 5c7e418e-3c43-4c3b-9daf-e581e9157233 · outbound

This paper cites Learning multiple layers of features from tiny images,.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence Learning multiple layers of features from tiny images,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:25:14.941603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T20:25:14.891051Z digest=sha256:e101197f58df657ba2263183b58e9cadf73ad258389a622eca46f6096946aa27

Observation 1e1b3f81-5e83-40ef-b7e5-bb03e913d71d · outbound

This paper cites An open access repository of images on plant health to enable the development of mobile disease diagnostics.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence An open access repository of images on plant health to enable the development of mobile disease diagnostics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T20:25:14.894033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:25:14.894033Z digest=sha256:e3ac2c904e5da779118e534bb8c5720b7f174ac21f159554ccefb129b3151cd2

Observation bad5c969-f8bf-415a-a13d-e58eb03e0003 · outbound

This paper cites MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification.

ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T20:25:14.897265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:25:14.897265Z digest=sha256:31a9c71634b684de7f08c5b4a281f2b2bb22ae51262c905de1c13cc77f0e3cc8

Pith citing papers

Observation d8a27974-6038-4d3b-b587-146a33cb2924 · inbound

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization cites this paper.

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.911848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T19:16:51.787216Z digest=sha256:12f495bd15430ff91c149074e98bde49e005922df88db3a692f551dcf90683cc