Paper Citation Record · LEDGER

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2412.03841.

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

pith.paper-citation-record.v1
2412.03841 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:05:30.888719Z

measured 21 of 21 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:00:01.530112Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:31:02.406598Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5295124-7ef5-4e87-8cb9-b29cb3321a92 · outbound

This paper cites Transtic: Transferring transformer-based image compression from human per- ception to machine perception,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Transtic: Transferring transformer-based image compression from human per- ception to machine perception,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.078090Z

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 dffbd29a-9b98-4065-ad43-b244af755a9b · outbound

This paper cites Residual based hierarchical feature compression for multi-task machine vision,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Residual based hierarchical feature compression for multi-task machine vision,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.068771Z

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 42d7ed76-e9aa-427e-bb2e-9fdef01aab23 · outbound

This paper cites Mlic: Multi-reference entropy model for learned image compression,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Mlic: Multi-reference entropy model for learned image compression,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.836376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c776538a-083f-4a38-8379-b20749901201 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Learning transferable visual models from natural language supervision,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.054255Z

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 80ae7d23-8f77-436c-9113-d482f5c9d19a · outbound

This paper cites Controlling Vision-Language Models for Multi-Task Image Restoration.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Controlling Vision-Language Models for Multi-Task Image Restoration

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.842729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation febc0c87-43a3-4ce4-b6fe-3a2140937c27 · outbound

This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Image Restoration with Mean-Reverting Stochastic Differential Equations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.846476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd10cb9c-f058-43e7-b6e1-b57f64cf65ab · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Deep Retinex Decomposition for Low-Light Enhancement

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.850393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93116532-7ed1-48b3-8dd6-08d73bb43525 · outbound

This paper cites Ffa-net: Feature fusion attention network for single image dehazing,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Ffa-net: Feature fusion attention network for single image dehazing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.045086Z

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 d0c8931b-b8ba-4363-9602-36fe8ccf14b4 · outbound

This paper cites Deep joint rain detection and removal from a single image,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Deep joint rain detection and removal from a single image,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.037146Z

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 1bd939ba-8a50-419f-a445-dc9a4e096bc1 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.029132Z

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 ec66dc1b-af7c-48a6-bef9-fec21c7022bf · outbound

This paper cites A database of human seg- mented natural images and its application to evaluating segmentation algorithms and measur- ing ecological statistics,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model A database of human seg- mented natural images and its application to evaluating segmentation algorithms and measur- ing ecological statistics,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.020693Z

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 9c769852-5e46-436e-8b35-d064cb5ec1da · outbound

This paper cites De- shadownet: A multi-context embedding deep network for shadow removal,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model De- shadownet: A multi-context embedding deep network for shadow removal,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.010870Z

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 d4fae28c-9d98-4790-b0aa-930c0b2b4f6a · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Attentive generative adversarial network for raindrop removal from a single image,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:31.001322Z

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 f49b4d94-5e34-412b-b062-56a8dac241ad · outbound

This paper cites Video Compression Beyond VVC: Quantitative Analysis of Intra Coding Tools in Enhanced Compression Model (ECM).

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Video Compression Beyond VVC: Quantitative Analysis of Intra Coding Tools in Enhanced Compression Model (ECM)

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:05:30.932266Z

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 256eed51-86ae-4d84-a1d0-312b812868dc · outbound

This paper cites Variational image compression with a scale hyperprior.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Variational image compression with a scale hyperprior

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.874288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011972b2-1a41-49d7-a159-1657f8460c4c · outbound

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

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Learned image compres- sion with discretized gaussian mixture likelihoods and attention modules,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:30.991744Z

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 80cd92c1-372d-4da0-9730-cff382861a48 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model The unrea- sonable effectiveness of deep features as a perceptual metric,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:30.982289Z

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 9bbb34e7-7164-464b-8d65-7e134361a861 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.882566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc0d8e7-3448-4818-b75a-e6522f15ab09 · outbound

This paper cites Blind image quality assessment via vision-language correspondence: A multitask learning perspective,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Blind image quality assessment via vision-language correspondence: A multitask learning perspective,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:05:30.972782Z

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 22369623-e230-40d3-b2db-255997556ff4 · outbound

This paper cites Calculation of average psnr differences between rd-curves,.

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model Calculation of average psnr differences between rd-curves,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T22:05:30.888719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 39316db4-0346-4b7f-b5f0-6edb38b1c726 · inbound

What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters cites this paper.

What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:02.409572Z

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.