Paper Citation Record · LEDGER

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.06942.

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

pith.paper-citation-record.v1
2608.06942 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:58:28.222758Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact4
verified fuzzy13
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cfd7369-d107-4ded-9130-e86b6b1db5b0 · outbound

This paper cites The ccsds 123.0- b-2 “low-complexity lossless and near-lossless multispectral and hyperspectral image compression.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink The ccsds 123.0- b-2 “low-complexity lossless and near-lossless multispectral and hyperspectral image compression

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.526205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04239c10-80bf-43f1-82dd-cb16b23a487c · outbound

This paper cites The jpeg still picture compression standard,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink The jpeg still picture compression standard,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:27.749709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf9a68d3-e7f7-4903-a4e2-dfa2f24968e3 · outbound

This paper cites A survey on optimized implementation of deep learning models on the nvidia jetson platform,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink A survey on optimized implementation of deep learning models on the nvidia jetson platform,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.500069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58c09772-d1a7-4b17-8c08-a03bd1648783 · outbound

This paper cites Nvidia jetson agx orin series,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Nvidia jetson agx orin series,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.483723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c01fba0-92fd-4e0f-83f2-8f598e6a5296 · outbound

This paper cites Satellite identi- fication imaging for small satellites using nvidia,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Satellite identi- fication imaging for small satellites using nvidia,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.464273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2debbe1-0ef1-40c1-bb08-359a9242d8d9 · outbound

This paper cites Theϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Theϕ-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:27.796010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc916282-d006-473d-8f6e-7815af92f012 · outbound

This paper cites Neural Functions for Learning Periodic Signal.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Neural Functions for Learning Periodic Signal

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:28.711739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a3b278fc-85be-43e4-96a0-5bdfc5cc147c · outbound

This paper cites Videoinr: Learning video implicit neural representa- tion for continuous space-time super-resolution,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Videoinr: Learning video implicit neural representa- tion for continuous space-time super-resolution,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.436333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 81a1a346-0f36-4858-af38-1f66d216e338 · outbound

This paper cites Implicit neural representations with periodic activation functions,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Implicit neural representations with periodic activation functions,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:27.816003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071bca52-fd98-4349-9725-38d761c07bdf · outbound

This paper cites Wire: Wavelet implicit neural representations,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Wire: Wavelet implicit neural representations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.360316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b72806b1-7092-43d5-9faa-e969af50a324 · outbound

This paper cites ELM-FBPINNs: An Efficient Multilevel Random Feature Method.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink ELM-FBPINNs: An Efficient Multilevel Random Feature Method

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:27.827459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909c88f2-763f-45d4-9c25-a8ae905a4f2d · outbound

This paper cites Local feature filtering for scalable and well-conditioned domain-decomposed random feature methods,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Local feature filtering for scalable and well-conditioned domain-decomposed random feature methods,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.184371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d895fb7d-6881-4e99-bdd5-5dd79228c8a9 · outbound

This paper cites Extreme learning machine: theory and applications,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Extreme learning machine: theory and applications,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:27.893849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe76dc81-eb76-4fd4-8dd1-0cbf413470d5 · outbound

This paper cites Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:28.668240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad37f59f-34af-41ea-8431-e9cd765b70fa · outbound

This paper cites Global spatial and temporal distribution of vegetation fire as determined from satellite observations,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Global spatial and temporal distribution of vegetation fire as determined from satellite observations,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:28.029559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b65cb4-70ca-4333-abc6-5ef4d137dab8 · outbound

This paper cites Detecting aquatic vegetation changes in taihu lake, china using multi-temporal satellite imagery,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Detecting aquatic vegetation changes in taihu lake, china using multi-temporal satellite imagery,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:28.108265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2b6b1e-a273-414b-aed0-a7abb6ca17ec · outbound

This paper cites Recent advances in urban expansion monitoring through deep learning-based semantic change detection techniques from satellite imagery,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Recent advances in urban expansion monitoring through deep learning-based semantic change detection techniques from satellite imagery,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.089567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 82785368-c16a-43c1-8bee-3d052fec6166 · outbound

This paper cites Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:28.171419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab791e20-7b12-4b68-8e09-de6d495c2ed0 · outbound

This paper cites Implicit neural representations for image compression,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Implicit neural representations for image compression,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:28.184211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578126b3-efe0-42e6-a9c3-846c17fe9d2c · outbound

This paper cites PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:28.609500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d8f450ec-1a15-461b-b02f-9a300f8bfff1 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:28.195367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0041c9e3-d8c9-4346-a3a7-cb46ad7e133c · outbound

This paper cites Finer: Flexible spectral-bias tuning in implicit neural representation by variable-periodic activation functions,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Finer: Flexible spectral-bias tuning in implicit neural representation by variable-periodic activation functions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.049705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33cdd31d-52b0-4810-a8f9-5ecd7ae9955d · outbound

This paper cites Fast training of sinu- soidal neural fields via scaling initialization,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Fast training of sinu- soidal neural fields via scaling initialization,

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-10T17:58:28.452859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7abeaf27-714c-44dc-a569-32bab8f13a7c · outbound

This paper cites On the spectral bias of neural networks,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink On the spectral bias of neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.033292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e29c3c84-9416-445c-93f6-45192a6d6801 · outbound

This paper cites Finite basis physics-informed neural networks (fbpinns): a scalable domain decomposition approach for solving differential equations,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Finite basis physics-informed neural networks (fbpinns): a scalable domain decomposition approach for solving differential equations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:29.012017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1100f3f-6274-420f-bb5e-ba8040aa1905 · outbound

This paper cites Unlocking the use of raw multispectral earth observation imagery for onboard artificial intelligence,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Unlocking the use of raw multispectral earth observation imagery for onboard artificial intelligence,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:28.992833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35659b10-f3d9-467a-8e61-b9ec48c48fe5 · outbound

This paper cites Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps,.

ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:28.818152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.