Paper Citation Record · LEDGER

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.01742.

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

pith.paper-citation-record.v1
2505.01742 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:15:57.278942Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy25
unresolved6
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 307ca549-e531-4c93-9ce9-0ecfd2cb103c · outbound

This paper cites Towards drone-sourced live video analytics for the construction in- dustry,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Towards drone-sourced live video analytics for the construction in- dustry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.271579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b74497a-11e8-455b-afe2-7006c6e4e8d3 · outbound

This paper cites Bringing Cutting-Edge Technology to Wildlife Conservation.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Bringing Cutting-Edge Technology to Wildlife Conservation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.235296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20f5637f-2d16-48d6-875d-7a42f34408f7 · outbound

This paper cites Research on the application of computer vision based on deep learning in autonomous driving technology,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Research on the application of computer vision based on deep learning in autonomous driving technology,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.190999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7eef5e25-619b-4b86-b496-911ed34afe26 · outbound

This paper cites Compressive sensing based asymmetric semantic image compression for resource- constrained iot system,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Compressive sensing based asymmetric semantic image compression for resource- constrained iot system,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.159848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61dbf622-86e7-467e-8648-c601a36d57a3 · outbound

This paper cites Group, “JPEG.” https://jpeg.org/, 1986.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Group, “JPEG.” https://jpeg.org/, 1986

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.114426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba85c440-0718-46f7-99ca-c5393bec04f2 · outbound

This paper cites Bellard, “BPG.” https://bellard.org/bpg/, 2014.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Bellard, “BPG.” https://bellard.org/bpg/, 2014

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:59.050644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 550283da-1b0d-4b88-aff0-2d0f99bf51ae · outbound

This paper cites The future of computing is distributed,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs The future of computing is distributed,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.987254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2754a5be-ec35-4cc7-b770-2b88fba135d4 · outbound

This paper cites Ai and compute,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Ai and compute,

Reference 8

Resolution: parse uncertain; raw_fallback, observed 2026-08-16T04:15:58.905129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94f40f42-b95e-43d4-a34d-cdd8548ea802 · outbound

This paper cites Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.825179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0fd9950-fe8a-45d7-9446-704e6a915d44 · outbound

This paper cites Cross-Camera Inference on the Constrained Edge,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Cross-Camera Inference on the Constrained Edge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.774730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3e4d3c0-eb6b-480a-860d-d4caade97e51 · outbound

This paper cites Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:56.920322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0838a9c-469f-45bd-91b2-d25897aa5960 · outbound

This paper cites Output-constrained lossy source coding with application to rate-distortion-perception theory,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Output-constrained lossy source coding with application to rate-distortion-perception theory,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.711049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15c49202-94c0-46f7-9565-29374cf80386 · outbound

This paper cites Joint autoregressive and hier- archical priors for learned image compression,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Joint autoregressive and hier- archical priors for learned image compression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.657809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6bf8f3c2-edc7-4043-98a6-bc0f2be0d1be · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:56.967350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb676c13-6c88-4278-a073-3d17c05a2eac · outbound

This paper cites Faster and stronger lossless compression with optimized autoregressive framework,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Faster and stronger lossless compression with optimized autoregressive framework,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.576159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41b15b55-fb7c-417c-8529-c534fa2bf1d6 · outbound

This paper cites Accelerating general-purpose lossless compression via simple and scalable parameterization,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Accelerating general-purpose lossless compression via simple and scalable parameterization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.531987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e17d1269-32b9-4cee-b5e0-eaa766a68173 · outbound

This paper cites Trace: A fast transformer- based general-purpose lossless compressor,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Trace: A fast transformer- based general-purpose lossless compressor,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.494029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56609ba7-d001-417a-b61f-f4dcc0825826 · outbound

This paper cites Ariadne: A hotness-aware and size-adaptive compressed swap tech- nique for fast application relaunch and reduced cpu usage on mobile devices,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Ariadne: A hotness-aware and size-adaptive compressed swap tech- nique for fast application relaunch and reduced cpu usage on mobile devices,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.448755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abb70535-6a3a-4ece-8fe5-19c3b1e4dfd5 · outbound

This paper cites Hirise: High-resolution image scaling for edge ml via in- sensor compression and selective roi,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Hirise: High-resolution image scaling for edge ml via in- sensor compression and selective roi,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.374212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d0d7a4a-c7d9-4b00-8580-2b79edd02d70 · outbound

This paper cites Online Streaming Video Super-Resolution with Convolutional Look-Up Table.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Online Streaming Video Super-Resolution with Convolutional Look-Up Table

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:15:57.555416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b44b99b2-d7a1-418e-9660-b6d00d60a319 · outbound

This paper cites Deep model-based super- resolution with non-uniform blur,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Deep model-based super- resolution with non-uniform blur,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.332146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9e5eb20-48ae-4e08-9e9e-9e453753654d · outbound

This paper cites Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:57.077410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d608c726-5fa2-4e44-ab13-61a82e034995 · outbound

This paper cites On the Compressibility of Quantized Large Language Models.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs On the Compressibility of Quantized Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:15:57.400419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92a76ac7-e2cd-42e0-8568-ea6f7148f5d1 · outbound

This paper cites Attention is all you need,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Attention is all you need,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:57.112530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205e26ec-4c33-4db5-be56-a4f46270ce15 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs The unreasonable effectiveness of deep features as a perceptual metric,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:57.122890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d4ae61-553e-4bab-8189-0f5229105175 · outbound

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

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Learning multiple layers of features from tiny images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.195527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b33cefb-bbdd-446b-be87-5de59969c63f · outbound

This paper cites Kodak Lossless True Color Image Suite.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Kodak Lossless True Color Image Suite

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.133738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6d522b2-9ac6-4ec9-a45f-03f5fe044f2a · outbound

This paper cites Challenge on Learned Image Compression.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Challenge on Learned Image Compression

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:58.082069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88abd60d-2862-4f6b-9d75-0acc05000fed · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs No-reference image quality assessment in the spatial domain,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:57.186879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7330a71-0d02-4131-92c5-590f2ce7d45d · outbound

This paper cites The 2018 pirm challenge on perceptual image super-resolution,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs The 2018 pirm challenge on perceptual image super-resolution,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:57.933911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad797069-ce76-4e72-9eab-a18b7848dd0c · outbound

This paper cites No-reference image quality assessment via transformers, relative ranking and self- consistency,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs No-reference image quality assessment via transformers, relative ranking and self- consistency,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:57.869469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa54311f-b7b0-47e7-9806-7ae834948936 · outbound

This paper cites p lpaq: Acceler- ating lpaq compression on fpga,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs p lpaq: Acceler- ating lpaq compression on fpga,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:57.824031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6174c79e-090d-4e29-be77-3f284883e760 · outbound

This paper cites Stem: Streaming-based fpga acceleration for large-scale compactions in lsm kv,.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Stem: Streaming-based fpga acceleration for large-scale compactions in lsm kv,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:57.750409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da52fc58-14cf-40dd-9a5f-bcfbdfea2ba9 · outbound

This paper cites Tegrastats Utility.

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs Tegrastats Utility

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:15:57.713516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.