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Paper Citation Record · LEDGER

Dataset Condensation with Gradient Matching

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2006.05929.

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

pith.paper-citation-record.v1
2006.05929 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:34.852609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.787182Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 78914d3a-2f7f-449f-9aa1-c89783c61d9b · inbound

Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation cites this paper.

Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation Dataset Condensation with Gradient Matching

Reference 29

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no resolver link, observed 2026-08-07T15:24:34.852609Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:34.852609Z digest=sha256:2a91608d0aca9ad2be982c99d293a1590383bc5cb9bacfaaa7e4537f4c99a7f5

Observation 3b8ffb0f-2a5f-4552-81b0-06fb2a516d46 · inbound

Taming Diffusion for Dataset Distillation with High Representativeness cites this paper.

Taming Diffusion for Dataset Distillation with High Representativeness Dataset Condensation with Gradient Matching

Reference 47

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no resolver link, observed 2026-08-07T14:35:46.953144Z

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source=arxiv_source observed=2026-08-07T14:35:46.953144Z digest=sha256:5cd8bc435e2a01eebaf7fa4fc3f64d96ceb6d7ed6fe50b508e8517008af038ab

Observation 79fb4303-3b46-49f2-8fc0-087bae34ee01 · inbound

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning cites this paper.

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning Dataset Condensation with Gradient Matching

Reference 15

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no resolver link, observed 2026-08-07T14:06:49.095806Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:49.095806Z digest=sha256:dfbfb0efc2a7fce07654d11df80991830e372a6a086c9cd0258f583baa0018d8

Observation 63f73155-8d51-4f69-a15c-e49cc74d6b68 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Dataset Condensation with Gradient Matching

Reference 102

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:06:31.747457Z digest=sha256:cc6751b9cb3ddfd463eb76eeac936036eaf5a3ac1ceff558420e1fc990920b80

Observation 47ce09c5-d399-44c2-8303-d59882e02e31 · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Dataset Condensation with Gradient Matching

Reference 49

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no resolver link, observed 2026-08-06T23:59:04.416765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:59:04.416765Z digest=sha256:0fb92779ea4c0a3d2b83ecbe9d9dbf21f95f9be019fdf4ee858b336bd008ace4

Observation 36a23d6b-a1ce-47ba-90dd-16552432bf00 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Dataset Condensation with Gradient Matching

Reference 132

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:17.281183Z digest=sha256:8cd93bd9ff936f82399d04c641d14e5c56230b09e05bb4979ecb43aafff8bbd2

Observation 0bcd7685-6ab4-4d37-9c56-2b9dfad46ea0 · inbound

Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster cites this paper.

Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster Dataset Condensation with Gradient Matching

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:17.775886Z digest=sha256:20870b57c453426b4f8fc35a154f4f7e1bdcaab52ab2cf4cf45c23aa3bd0174d

Observation 76f58cf5-51fd-4605-a932-d92c15ee25ff · inbound

GVD: Guiding Video Diffusion Model for Scalable Video Distillation cites this paper.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset Condensation with Gradient Matching

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:50:47.085982Z digest=sha256:91c50d3327b436fd1eb0b5df62328375103c75e4899e8ce574dc37254f7da14d

Observation de36f59c-c5ec-4c9c-9777-d64385dc0e8e · inbound

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds cites this paper.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset Condensation with Gradient Matching

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:07:33.022330Z digest=sha256:7863fca6ac8f464681c29b78c527a53a0d5246a10054e29487e068fe62ab8ad9

Observation ae50b224-e550-48db-a5d0-80db7d32cf6e · inbound

A computational fluid dynamics model for the simulation of flashboiling flow inside pressurized metered dose inhalers cites this paper.

A computational fluid dynamics model for the simulation of flashboiling flow inside pressurized metered dose inhalers Dataset Condensation with Gradient Matching

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:04:24.663889Z digest=sha256:b525928699df31e1feecd942ece03939f9d7d8e43fb23111e87f74ee9eda8f2a

Observation f38782cf-e253-46b6-bcde-1a69ed655f85 · inbound

Domain-Generalization to Improve Learning in Meta-Learning Algorithms cites this paper.

Domain-Generalization to Improve Learning in Meta-Learning Algorithms Dataset Condensation with Gradient Matching

Reference 43

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no resolver link, observed 2026-08-05T21:10:29.829704Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:10:29.829704Z digest=sha256:53247c0af6a4cd609d28fcdb8b46326f99dbaa61560b1d7878da338fe91c233e

Observation 9987c455-ed5d-4255-9553-19c7de008653 · inbound

Data-Efficient Ensemble Weather Forecasting with Diffusion Models cites this paper.

Data-Efficient Ensemble Weather Forecasting with Diffusion Models Dataset Condensation with Gradient Matching

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:13:53.410100Z digest=sha256:0e44c8e887995e442800cd84c0f1d54440fa37a84d404b42c902d83601c9f076

Observation 0eee667d-5912-4886-988f-707692618e43 · inbound

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift cites this paper.

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift Dataset Condensation with Gradient Matching

Reference 13

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no resolver link, observed 2026-08-03T15:50:35.337582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:50:35.337582Z digest=sha256:230cb96eaa8891cb681ce50c49f732653f0f5578ee30d18a604ae38a4f8d1934

Observation ff4ab691-c523-4b62-82f1-69c2e36c0ea4 · inbound

ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks cites this paper.

ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks Dataset Condensation with Gradient Matching

Reference 28

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arxiv_id, observed 2026-05-14T23:28:17.152996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T23:24:12.883229Z digest=sha256:465851c4efdf7bc897daa92ba3ff5d756b0b086cf971bf7ebc12e5ca809d8345

Observation 6b574174-5cf8-4562-92c9-fa362617843a · inbound

Omnimodal Dataset Distillation via High-order Proxy Alignment cites this paper.

Omnimodal Dataset Distillation via High-order Proxy Alignment Dataset Condensation with Gradient Matching

Reference 12

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arxiv_id, observed 2026-05-11T09:05:59.601700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:15:46.835576Z digest=sha256:b7c99cf0b057ff9541676bfed86a15ef993b17ee872d12a9cb9ebeb406066a23

Observation 4409841b-2653-4c7c-b26c-24ecb435b8c1 · inbound

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection cites this paper.

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection Dataset Condensation with Gradient Matching

Reference 52

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arxiv_id, observed 2026-05-11T11:31:01.278772Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:50:39.077649Z digest=sha256:56d74f62c96e158b0422a6cd08dca9c443bab881de21e260094b09809c155141

Observation ea543552-9cac-417f-9023-94b56dc799dc · inbound

Fair Dataset Distillation via Cross-Group Barycenter Alignment cites this paper.

Fair Dataset Distillation via Cross-Group Barycenter Alignment Dataset Condensation with Gradient Matching

Reference 22

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arxiv_id, observed 2026-05-11T15:01:06.556685Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-09T20:42:58.995723Z digest=sha256:e2640abded751e42afa1a1af3485cf11fdf7bbe2cab44c885b4d2407a1b1cfb1

Observation 4179a1a6-d039-47d2-83a2-bb6ee3c56c8e · inbound

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models Dataset Condensation with Gradient Matching

Reference 81

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arxiv_id, observed 2026-05-11T23:16:29.792482Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T17:42:00.634333Z digest=sha256:351c45008642e13b270589b6551a4a5157ea88ea920171809e29c82a9de35878

Observation ba17f080-0e91-4de8-9b97-dd088441190c · inbound

CAST: Collapse-Aware multi-Scale Topology Fusion for Multimodal Coreset Selection cites this paper.

CAST: Collapse-Aware multi-Scale Topology Fusion for Multimodal Coreset Selection Dataset Condensation with Gradient Matching

Reference 17

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arxiv_id, observed 2026-05-13T06:22:23.424385Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T06:19:08.362022Z digest=sha256:51489ed609f9aee68ebd548b133b67ffe780960a1b612081d87c7273467ed63f

Observation 2f65d786-d476-4953-9ce6-96d1434173c7 · inbound

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery cites this paper.

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery Dataset Condensation with Gradient Matching

Reference 4

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arxiv_id, observed 2026-05-14T21:17:59.385866Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T21:15:07.466245Z digest=sha256:6edbb45203f91e72ff12ca4db3f493e89425a8bda0f779ac7940f15e7c9f5938

Observation 91f82cc9-7483-43fc-946a-bd188f0643c0 · inbound

Multimodal Distribution Matching for Vision-Language Dataset Distillation cites this paper.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Condensation with Gradient Matching

Reference 81

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arxiv_id, observed 2026-05-25T04:30:19.780306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:bb6a6b864471f11237780c336fa51340bbc851f3556efec68543152ee4d309da

Observation 45b227ce-96f9-4d92-ab29-05c67bcc56ce · inbound

An Efficient and Scalable Graph Condensation with Structure-Preserving cites this paper.

An Efficient and Scalable Graph Condensation with Structure-Preserving Dataset Condensation with Gradient Matching

Reference 10

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arxiv_id, observed 2026-06-29T00:12:50.276517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T00:03:13.278727Z digest=sha256:85fa6359c94bf5d2f1cdb1d848a7c12a68c0ffecc314fdf03337ad85faecd17e

Observation d1e6cc2b-e8ef-4c9d-a15e-e6bb6a71d154 · inbound

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation cites this paper.

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation Dataset Condensation with Gradient Matching

Reference 47

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arxiv_id, observed 2026-07-01T22:16:16.271450Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:36:02.976349Z digest=sha256:26d2195acaa51fa4b36906054a948569bf470ff88fa002210cdde58877a836b9

Observation 51f924ad-822f-4e28-8f91-436509358e9a · inbound

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation cites this paper.

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation Dataset Condensation with Gradient Matching

Reference 9

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arxiv_id, observed 2026-06-29T05:43:08.681697Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T05:35:04.856707Z digest=sha256:9f76fe8ff4fb8baf55e66124e7da8bf8ff12ac505b5e4040b7d98dbeebfacd71

Observation 06a18477-c6df-4904-bdcb-8ceae4938184 · inbound

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation cites this paper.

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation Dataset Condensation with Gradient Matching

Reference 71

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arxiv_id, observed 2026-07-04T03:29:29.790150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T18:03:47.140620Z digest=sha256:a3ff64c6a493840621407dcf6e1be9c3365ed20e24e98c4bb8d4566a485e7527

Observation 7a328093-7396-43fb-b91c-0ea77f629107 · inbound

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation cites this paper.

Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation Dataset Condensation with Gradient Matching

Reference 77

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arxiv_id, observed 2026-07-01T08:45:35.560963Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T07:08:57.768207Z digest=sha256:b1cc8df74f2e02752f038b2c7a5e76e46a42f6b17414f0e8099a4e5b072e8aae

Observation 5fa10b55-9dae-4440-b5b7-ea0ee2832a21 · inbound

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation cites this paper.

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation Dataset Condensation with Gradient Matching

Reference 79

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arxiv_id, observed 2026-06-30T07:24:21.191721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:21:46.599943Z digest=sha256:95444b26b2fe851fa2ba3520788a9bae7e41c532c469f8b38f379b0fa308ce43

Observation 1faf0753-a9d5-4af0-8352-0f2f3002f833 · inbound

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets cites this paper.

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets Dataset Condensation with Gradient Matching

Reference 47

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arxiv_id, observed 2026-06-30T07:14:22.065137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:54:19.251168Z digest=sha256:5e995f2982e1508050d43416f55e6cfbf2649b8bdcd1122131f394e7a2183e17

Observation 18788f09-b78a-4a94-a37d-c66082374755 · inbound

Condensing Large-Scale Datasets Directly with Minimal Information Loss cites this paper.

Condensing Large-Scale Datasets Directly with Minimal Information Loss Dataset Condensation with Gradient Matching

Reference 57

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arxiv_id, observed 2026-07-02T14:07:02.398122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T13:59:59.488216Z digest=sha256:de7705a5275acb9bdd200ccc6d001a83d7a56428e64fc005fc35b859245635d8

Observation 9ace1f3e-a6d5-4576-89b0-1ba68a3f900e · inbound

GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection cites this paper.

GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection Dataset Condensation with Gradient Matching

Reference 21

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no resolver link, observed 2026-08-07T00:13:45.956687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:13:45.956687Z digest=sha256:bc7c6c0b905bd32c3c15138bd26d6cda53bd66d0f8cc539c0e68ed64602d063b