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Paper Citation Record · LEDGER

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.15385.

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

pith.paper-citation-record.v1
2410.15385 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:23.620470Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7994eb82-1df9-466d-aa66-678b33bae5f3 · inbound

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration cites this paper.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:23.620470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:23.620470Z digest=sha256:2aa295eb52832f16cbdb4cc76cbc8fdd51e981b89b61039c724e63f25ef8aeb5

Observation cf496bde-e413-4e9e-a870-8c5e559ed9f1 · inbound

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.017824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.017824Z digest=sha256:5b72aca8d21a5cc4f3d01baaa54139f0c9b8a3a7eafa8fbc78e0c6982b23e337

Observation dfb985cb-a6cd-4acd-b205-075bdd9c5c3a · inbound

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration cites this paper.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.813060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.813060Z digest=sha256:c4d274f015e1e3b2b9c045b0f0f616e4bc75f96253813ef0dcdc5519e6a314c8

Observation d5b0aab4-b236-4c82-a84c-8ec082fe05ff · inbound

HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement cites this paper.

HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:01:42.685028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:01:42.685028Z digest=sha256:d63802ad4f3deb0f984c9fbd68dbcf6a33b993ea2ff1f21442e74a7290a3d590

Observation 774c354b-c0a0-44a3-9a22-f875a88e966f · inbound

Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration cites this paper.

Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:23.646657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:31:23.646657Z digest=sha256:45a5dd64c28b71696827c3dd20e0b51e4823fbcf6d0e5daff58eae75a663abdc

Observation 8d21a611-bc3c-47ef-804d-0a5fac22ebbc · inbound

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal cites this paper.

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T21:53:26.157427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:53:26.157427Z digest=sha256:5e4ec163aba1ad145ddaf7ba0abf9d32920cde376b73c6467ff0abea41597b0a

Observation 90aee22f-3065-49e1-88da-8ebd53a58554 · inbound

Task-Guided Prompting for Unified Remote Sensing Image Restoration cites this paper.

Task-Guided Prompting for Unified Remote Sensing Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:33:06.512982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T18:32:34.439713Z digest=sha256:503306ce468792bd3b3d146c58b7bab634bf0f8bf2b76057299fc7ea64453ff7

Observation e043b08c-4d47-4a83-85a7-db1b2e437534 · inbound

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration cites this paper.

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-08T21:24:12.956268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T13:57:43.140353Z digest=sha256:cff89025cf1d97d0840b209cb2b8954c8ed56bc880b7781a9b5df9b2ea15b98b

Observation c3b1e7ad-72f8-4f6a-ba13-3336b9a3781d · inbound

Robust Promptable Video Object Segmentation cites this paper.

Robust Promptable Video Object Segmentation LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:29.347632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:18:20.281383Z digest=sha256:2de65e13bbf6968cf2803242591d26e00f168b92614d3318178372f251b912a4

Observation 0e158701-4fee-46e9-a121-ff4a517716bb · inbound

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration cites this paper.

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:28:10.272165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:28:10.272165Z digest=sha256:daa1bf8c2269ddd349d6f3b3b2a98e8c02520d8e17e91b204e1349e201055bc4

Observation 2bec0c56-1eac-4a55-9462-45eb4495f9e2 · inbound

MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration cites this paper.

MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-04T20:14:03.039529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:14:03.039529Z digest=sha256:be18bbacb6c62d5ab2b1ab7b08247f62d7374b12dc9614dae1b5464ebdf5bd66