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Paper Citation Record · LEDGER

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2507.19887.

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

pith.paper-citation-record.v1
2507.19887 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:57:21.696864Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T17:57:15.491105Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:56:30.257021Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation adf26ba4-8fec-4809-b721-08312752a078 · outbound

This paper cites Online Continual Learning for Embedded Devices.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Online Continual Learning for Embedded Devices

Reference 5

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no resolver link, observed 2026-08-15T17:57:21.638501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.638501Z digest=sha256:b4e8053d071e780f3f98d6e147010d38caff8086d34688996796cc80e84616a9

Observation 1d66ce20-de84-4526-951d-b5a5cf4b7237 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 6

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no resolver link, observed 2026-08-15T17:57:21.642890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.642890Z digest=sha256:cbd6128530f2947005b125a76e51c67ef01ded956dbebcca84310d141e0b6313

Observation db2e435f-158a-4c9b-9289-ea56c0790237 · outbound

This paper cites Progressive Neural Networks.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Progressive Neural Networks

Reference 8

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no resolver link, observed 2026-08-15T17:57:21.650832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.650832Z digest=sha256:ccc31f28fae281581d2bc9f67d1aec06b4531e820e74f824c581e815f0a310d5

Observation 984aeb17-7620-4cd2-9f8d-4c325419696d · outbound

This paper cites How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models

Reference 9

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no resolver link, observed 2026-08-15T17:57:21.654728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.654728Z digest=sha256:259f9c765735ecdf25916cd5727e6ee45efaae1ff73800c25f6114b5d27ae2af

Observation d4804f79-cc62-4551-a3a4-82ca7e5b512a · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 10

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no resolver link, observed 2026-08-15T17:57:21.658798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.658798Z digest=sha256:75dd66a734fea8b2a19bcf175a43407e27e06a057c41cc64ef709e2c11026586

Observation c51b811b-ab56-467c-b5d6-e443cd2af3ba · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Orthogonal Subspace Learning for Language Model Continual Learning

Reference 11

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no resolver link, observed 2026-08-15T17:57:21.662479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.662479Z digest=sha256:bced7382251abc136fb9aec0f47880083b23a85f435b0772037c74b47ce7be33

Observation b7d9ca3d-5fcb-4862-8548-f2503ac4d3ba · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 12

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no resolver link, observed 2026-08-15T17:57:21.666922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.666922Z digest=sha256:7e6f07172f2e4c011fdcaa86952a1fd98ef4bb09d3713fedf9d54e8851efd697

Observation bf1b7fc9-a464-4e52-a30a-cf10e928dc21 · outbound

This paper cites A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application

Reference 13

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no resolver link, observed 2026-08-15T17:57:21.670515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.670515Z digest=sha256:188ca6d9b895e67566871897f227ff2c4758a8579b3e9cfbd088803484d43776

Observation 1e062db3-229b-4c05-a6e4-dbcb88d2cc89 · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer- based masked language-models.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Bitfit: Simple parameter-efficient fine-tuning for transformer- based masked language-models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.673921Z digest=sha256:0320c8c710ad85648ec572506007f5e29a8b74604e6fca3f7295e66583566f89

Observation 90f22c31-388e-4a2b-a4aa-a985d042553e · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Customized Segment Anything Model for Medical Image Segmentation

Reference 15

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no resolver link, observed 2026-08-15T17:57:21.676990Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.676990Z digest=sha256:d77b54e7d5e0e24c325941ddda1c734d7c437684ecfb0c913ff3ba2984b479a3

Observation 424f069b-4f97-42de-8bc2-b0aabe52d64a · outbound

This paper cites an unresolved cited work.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-15T17:57:22.109972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.684294Z digest=sha256:f52d63a37841c415e044b340d8b033f782d6258cdd43410d609341381f2e823c

Observation da876ffa-1952-4818-a930-d0e0dc0d6955 · outbound

This paper cites Image GT Task 0 Task 2 Task 3 Task 7 Background Cow Dog Horse Sheep Figure 6: Conflicting predictions from task-specific modules on the PASCAL VOC (Everingham et al.,.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Image GT Task 0 Task 2 Task 3 Task 7 Background Cow Dog Horse Sheep Figure 6: Conflicting predictions from task-specific modules on the PASCAL VOC (Everingham et al.,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T17:57:22.100136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.688204Z digest=sha256:b3005c17fd9d41bb491ad08af4ec7095132d552120c1a4ce5a5b4f2b1c0eb978

Observation aadac24e-0826-4462-8cb2-89ccc5d81ed4 · outbound

This paper cites The rank is a hyperparameter that influences the number of trainable parameters.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation The rank is a hyperparameter that influences the number of trainable parameters

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T17:57:22.078923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.696864Z digest=sha256:da3a9d7a75936c64f17a927e09aa446c6af8478445b96ee1554c67aae7ec9d87

Observation 5c42c4e2-0245-47f3-8714-4aaeb9d5b4bd · outbound

This paper cites an unresolved cited work.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Unresolved cited work

Reference 2010

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.680446Z digest=sha256:b41e90cda06a67009287023c9b48fbcfffe6b5d6f9a674e15558d46d10398e79

Observation dded6b1a-20f9-4824-b86d-682de60d58c0 · outbound

This paper cites an unresolved cited work.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Unresolved cited work

Reference 2016

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.693100Z digest=sha256:32e32839a8744b9067bf892c96615357c9c5814f2c611ccae3c06fae50c694cb

Observation 1cabaff7-5cd2-439b-9df8-ccc11901f62d · outbound

This paper cites Task Arithmetic with LoRA for Continual Learning.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Task Arithmetic with LoRA for Continual Learning

Reference 2018

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no resolver link, observed 2026-08-15T17:57:21.629625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.629625Z digest=sha256:0157043dde0570c8257f96e6ab20802dfb5ae56ad1ada00ab3f234cf3ced382c

Observation 6bef69c6-8f06-431c-91d8-f5dd7285041e · outbound

This paper cites DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

Reference 2021

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no resolver link, observed 2026-08-15T17:57:21.620834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.620834Z digest=sha256:36726a97d79c148cd0e13c60aa4a9d5ff49f9db7af9638d0d6e2753e7125c431

Observation 0007c572-ed6a-4904-8e1a-62951f048122 · outbound

This paper cites Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion

Reference 2022

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verified exact
local_arxiv, observed 2026-08-15T17:57:21.955297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.646994Z digest=sha256:85e23f22163f12118a5d9ceee9db4b501d8262e1023e4fb1d61e01e02f56f377

Observation 2328ed21-101b-4673-85bc-b04f55cbcc01 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2023

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no resolver link, observed 2026-08-15T17:57:21.625615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:57:21.625615Z digest=sha256:60379ea90234dcbf96a0f651334559b6acc66cfad6b2fa05dc8275397a165327

Observation ff7da435-2688-4114-b442-685480f0ca8a · outbound

This paper cites Demi Guo, Alexander M Rush, and Yoon Kim.

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation Demi Guo, Alexander M Rush, and Yoon Kim

Reference 2024

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verified exact
raw_fallback, observed 2026-08-15T17:57:22.042085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:57:21.633838Z digest=sha256:f51c6e52edef6f93c57914b6cb228e7efac96585d42e3d56e691a3259c13ff50

Pith citing papers

Observation 8cdfe7f9-aab4-46e8-a542-70bc5ada4bbd · inbound

MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities cites this paper.

MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation

Reference 21

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arxiv_id, observed 2026-05-12T10:56:30.258994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T17:57:15.491105Z digest=sha256:ddfddd4211b0edfe03302b375238d063deeeee612c712248379fc201b2996ffc