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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2210.07558.

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

pith.paper-citation-record.v1
2210.07558 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:43.327083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:43:14.056988Z

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Outbound references

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Pith citing papers

Observation 3414fe5c-fa15-4b05-98c2-18384d6bb6f2 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 82

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arxiv_id, observed 2026-05-13T11:32:36.983146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:fe0ef02a7706c826ebf8080c64fb72a8454e98632300649ffdae228799c83ba9

Observation b278107b-b4c4-46bc-81e5-198ce0917cf9 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 136

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source=pdf_text observed=2026-08-11T22:41:18.309513Z digest=sha256:e3de8d728bea38ced3fb0313e08a60fb58613c626d5d4c9ea1ec4f7cb755c435

Observation d133ac25-7b3e-45af-b9d6-28a0b2332d5d · inbound

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts cites this paper.

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 53

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source=pdf_text observed=2026-08-11T21:43:24.241452Z digest=sha256:bccfce9801e6077e4172c647b3798090e365ff0dc6d5b794d87e20f95c312a1f

Observation c57f8b6a-1c00-40c9-afee-22af9efc0d07 · inbound

CLINICSUM: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations cites this paper.

CLINICSUM: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 22

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source=pdf_text observed=2026-08-11T21:38:07.990347Z digest=sha256:d59bef3ecc5e92bf3b6d43cbe37bd1a3a2b7253df811c65e2f2981f64790ab3e

Observation 53b90971-01a5-4ec3-b2ec-ca3baaf120e9 · inbound

PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition cites this paper.

PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 48

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source=pdf_text observed=2026-08-11T18:34:29.318833Z digest=sha256:9e4c409383e5656e5d9417cf754a0490e62ecdd0d380c1f47950c8d4124ae896

Observation 5cce276f-e651-48c8-b552-e0f1ab8991c6 · inbound

Adaptive Principal Components Allocation with the $\ell_{2,g}$-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models cites this paper.

Adaptive Principal Components Allocation with the $\ell_{2,g}$-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 23

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source=pdf_text observed=2026-08-11T17:48:50.085270Z digest=sha256:52295b3d973053f985a2607fae28f1d94a360daaebced3f53e63204d0a8c4f93

Observation 2a894e76-1b59-4e37-895b-013cb3d76601 · inbound

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition cites this paper.

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 42

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source=pdf_text observed=2026-08-10T23:42:24.254438Z digest=sha256:6d6898709333402a8559358b489086178368aec20fdf82459b06abb424e8d8fd

Observation 454945a0-e985-4fd0-ac0b-92c8eb9ca76f · inbound

An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training cites this paper.

An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 41

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source=pdf_text observed=2026-08-09T10:22:03.811971Z digest=sha256:e897b834c46b63cb88cfbd5b687e3d998bea9d739d91aab096fe549ab7217c5c

Observation cc6d4192-1585-4329-8e33-b906f9b0926a · inbound

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training cites this paper.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 43

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source=pdf_text observed=2026-08-09T00:41:49.759637Z digest=sha256:3642b4c566f3663f4d585a2e08c47ca1237e01974f32a9bbeee67c7b9a097c2b

Observation e2b8906c-53e8-49c8-8345-9677aab6224c · inbound

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 36

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source=arxiv_source observed=2026-08-08T18:50:49.900270Z digest=sha256:d89777100a2bd49d2f88cdc3c34f9d3749a7ad9dadae5d907520a5f94e2a8bf4

Observation 53e43f16-8153-45c6-94a5-27f51a6b6d79 · inbound

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning cites this paper.

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 106

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source=pdf_text observed=2026-08-16T05:16:30.789664Z digest=sha256:86d40868d72a7cd0b3784c3edf67e5f1ee587c40b16a70ca25151bb4ff40626b

Observation 0bd95d47-2e25-4e90-9c4f-d80534f285da · inbound

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models cites this paper.

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 138

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source=pdf_text observed=2026-08-16T05:21:43.327083Z digest=sha256:4363094e4f7e0ff9017f811451390a5582cd9186050f702279d0b5c4937838a2

Observation 767b9362-53f8-4ebc-bcaa-3be18a853a9a · inbound

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning cites this paper.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 13

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source=pdf_text observed=2026-08-15T23:18:29.523896Z digest=sha256:6bdbe4a71e32ef0dfb0fef166b66b1ca12a7baede73ab5eda553a456d54a2bb2

Observation 3d084f88-1277-40a0-84be-2015041c5a6d · inbound

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization cites this paper.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 13

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source=pdf_text observed=2026-08-15T20:38:53.687554Z digest=sha256:5d8c4efce24fe987a084d0d6e04eaf0dd540490cd4198dd80e982645b916c512

Observation a4ab5bb4-3fea-4cda-99c4-cbbeac7c5aa7 · inbound

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models cites this paper.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 9

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source=pdf_text observed=2026-08-07T14:04:38.230039Z digest=sha256:d91488ee02c792c47ce045c6756dc4458c7abff9a0abb694c9d498d2682378de

Observation 1757c84d-87db-4395-a5a5-27fc1efb638a · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 45

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source=arxiv_source observed=2026-08-07T13:51:32.636087Z digest=sha256:6728033df7bb69a3e63c6f2d95dce4f68b7f1e502d000376fe53499ead906026

Observation eaf1c469-25ce-490f-88ad-2fb47746d7a9 · inbound

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning cites this paper.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 44

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source=pdf_text observed=2026-08-07T12:21:39.177022Z digest=sha256:1e8ce3a6e784e35fc266bfdd4336bff2dcad794f429a2eac9aa41764c43feedf

Observation d672f9e3-34e0-439c-90d1-0522e1fd63e4 · inbound

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts cites this paper.

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 46

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source=pdf_text observed=2026-08-07T12:09:15.530983Z digest=sha256:32f728eb3ae8d2fb66572fce8aee0c6aad03a0d0efcabe23358bd1636fc48927

Observation f2202779-1d69-40fa-828f-5f1e8e89cb22 · inbound

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence cites this paper.

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 13

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source=pdf_text observed=2026-08-07T00:43:43.356345Z digest=sha256:4aff3dea9ff9f760365616029d974e57df6d31933e2da91edb438849acda48a1

Observation 6c661f52-89e6-486d-a4b6-fba4abdcfaa3 · inbound

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes cites this paper.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 18

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source=pdf_text observed=2026-08-06T21:23:49.475591Z digest=sha256:13fd685bd142ffc636a1f589e4af078155fc39fb0021e3781da84bc1f17cdbd6

Observation 2aef86c7-a2e4-4feb-9eb4-90706a9e43cf · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 44

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source=pdf_text observed=2026-08-06T18:48:54.605240Z digest=sha256:c7e82f892cdae057c3d8342e6df4d862c4a6c28d68958862e4b98504e910524a

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

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation cites this paper.

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

Observation 153eea27-1dd9-44f9-aba1-491e7b5f0c34 · inbound

MoKA: Mixture of Kronecker Adapters cites this paper.

MoKA: Mixture of Kronecker Adapters DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 14

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source=pdf_text observed=2026-08-06T04:28:34.551886Z digest=sha256:29069fcd32262f88ffb04290e577cef2d1e89bc6977ea6bb6c80c2debc4e0ecb

Observation f85716ac-fc1c-4a4b-9f23-b659933e5abe · inbound

Language-Aware Information Maximization for Transductive Few-Shot CLIP cites this paper.

Language-Aware Information Maximization for Transductive Few-Shot CLIP DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 15

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source=pdf_text observed=2026-08-05T13:48:30.068805Z digest=sha256:c38197cf172a69de4c59c442c7a422786bc8179ce04b6f3afaef6664ec08786c

Observation 6382e4c1-5e6c-485d-9def-c89db755d6a5 · inbound

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models cites this paper.

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 19

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source=pdf_text observed=2026-08-04T19:43:37.881630Z digest=sha256:f596b057f0a94f82085f4dc873f4286efb22c85b0d8604c4749fd5a4aac3731a

Observation 4410dd4e-d47c-442d-ba75-98c8047fce6d · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 35

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source=pdf_text observed=2026-08-03T09:45:44.918253Z digest=sha256:886324e35e67dda8b754c728d5ed3b5d6b46cd08cdc67b32a77fc74da010d167

Observation f30d6400-3fb8-408e-b5cc-824499eae94c · inbound

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning cites this paper.

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 33

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arxiv_id, observed 2026-05-11T11:11:02.637667Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:08:16.768725Z digest=sha256:049afa9a66c8301928d9aa4d306afb62f8edcc84390764ff92f555dede5abd8f

Observation b176d3ee-d45f-4105-a190-b50fd3b950fb · inbound

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning cites this paper.

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 19

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arxiv_id, observed 2026-05-11T03:10:53.331899Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T02:38:14.029660Z digest=sha256:9a50fdc012f64ff12cdd48996630c8ccde4f290645aea82c790a11eb5ae84291

Observation e34544c4-9aa8-4997-857a-53ba5c9b9ef3 · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 51

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arxiv_id, observed 2026-06-29T07:43:14.058520Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:a95edb47a39d94deed917981081eeec33741268207a959ace41e03f87973e8c1

Observation b40bfedf-0a4f-44bf-93aa-8ac8c80181cf · inbound

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA cites this paper.

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 12

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source=pdf_text observed=2026-08-01T14:35:01.076091Z digest=sha256:d789bc519cb41ffa85f5321d9cefaa32965986e9478e57dffd283ff5013fc539

Observation f21732e4-0551-4fac-aac6-ce0dd5bb0ad1 · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 91

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source=arxiv_source observed=2026-08-02T09:01:52.729050Z digest=sha256:3a775bfebe1f60f7053f9c8ec425295b5afe64e6ce82fac4ed8bf59a1e241b5e

Observation d13ce7bc-8ae7-41f2-9a6e-1ecda9f15567 · inbound

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning cites this paper.

BPG: Balancing Plasticity and Generalization for Domain Incremental Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 63

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source=pdf_text observed=2026-08-12T17:12:14.187986Z digest=sha256:074b2ac0121c5a0285e9e802fe3a3f2c2fe60aa696cdeb8d6faa8c152f3db793