Paper Citation Record · LEDGER

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2603.25144.

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

pith.paper-citation-record.v1
2603.25144 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T18:26:04.651956Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:35:54.619698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:10:54.044934Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy0
unresolved64
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 831f8f84-7305-4d83-a20b-316aa0008cae · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR)

Reference 1

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Observation 2cda4e18-c59b-45c9-b416-8ad149304593 · outbound

This paper cites Dataset Distillation via Adversarial Prediction Matching.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Dataset Distillation via Adversarial Prediction Matching

Reference 2

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Observation a483de2a-1ded-40b6-9f72-47681592cf32 · outbound

This paper cites In: Pro- ceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) (2010) 22.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Pro- ceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) (2010) 22

Reference 3

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Observation 7b3e8922-1342-434d-930f-417e101c02ee · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2025) 2, 4, 9.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2025) 2, 4, 9

Reference 4

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Observation f06a9257-55b6-477b-a579-ddff9356ae39 · outbound

This paper cites arXiv preprint arXiv:2501.07575 (2025) 2, 3, 4, 8.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation arXiv preprint arXiv:2501.07575 (2025) 2, 3, 4, 8

Reference 5

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Observation 09699630-9e2a-410c-bea6-8df95b0f0207 · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2022) 2.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2022) 2

Reference 6

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Observation 759cbb09-f8de-4210-951b-444b1afa4ca9 · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning (ICML).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Machine Learning (ICML)

Reference 7

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Observation b18a2205-bb75-4c3a-a288-a1f1d8275665 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 8

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This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR) (2021) 1.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Learning Representations (ICLR) (2021) 1

Reference 9

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Observation 9ec90cbc-5c87-41b0-8cbd-ccefc63406d8 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the European Conference on Computer Vision (ECCV)

Reference 10

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Observation ef4213d9-1a18-4ca9-83e6-ee339a569c65 · outbound

This paper cites Annals of eugenics pp.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Annals of eugenics pp

Reference 11

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Observation 44cf924d-0395-4d1b-ba06-9d1a382bc4d0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 12

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Observation e085d86c-49aa-4dcf-a850-4dcc38e6f7c5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 13

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Observation 67e25f9e-df3e-426f-ab8b-66b2ae12e863 · outbound

This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR) (2024) 4, 22.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Learning Representations (ICLR) (2024) 4, 22

Reference 14

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Observation efaa98ce-cc2d-4516-a37a-d919bdeea7a6 · outbound

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Unresolved cited work

Reference 15

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Observation 62fd0857-908b-4dc3-af93-b048554db699 · outbound

This paper cites ArXiv (2019) 20.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation ArXiv (2019) 20

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Observation ab53ce04-7df9-43f1-9cb5-7f469a5dc715 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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Observation af47269c-bf61-4122-b0c6-fe979fc901fc · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW)

Reference 18

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Observation f5f47c0d-31da-445d-91ad-9a4b10bace3d · outbound

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Machine Learn- ing (ICML)

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Observation bb4e754a-e375-47a4-a683-cbe6afa0cb61 · outbound

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE International Conference on Image Processing (ICIP)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Unresolved cited work

Reference 21

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Observation 1b3f82db-147e-4a36-8693-11bfa9af8b85 · outbound

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Neural Networks172, 106154 (2024) 2

Reference 22

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation https://github.com/Guang000/Awesome-Dataset-Distillation (2022) 2

Reference 23

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Workshop

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: IEEE International Conference on Image Processing (ICIP) (2024) 4

Reference 25

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: IEEE/CVF International Conference on Computer Vision (ICCV), Workshop (2025) 2

Reference 26

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation arXiv preprint arXiv:2511.17890 (2025) 4

Reference 27

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2025) 2 Fine-Grained Dataset Distillation 17

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2022) 4

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision (ICCV)

Reference 30

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF international conference on computer vision (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Journal of Machine Learning Research pp

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Fine-Grained Visual Classification of Aircraft

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE International Conference on Computer Vision (ICCV)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Unresolved cited work

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Learning Repre- sentations (ICLR) (2018) 22

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2024) 4

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the European Conference on Computer Vision (ECCV), Workshop (2024) 2

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the ACM Interna- tional Conference on Multimedia (ACM MM)

Reference 47

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Dataset Distillation

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the European Conference on Computer Vision (ECCV)

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Transactions on Machine Learning Research (2025) 4

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2025) 4

Reference 52

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Advances in Neu- ral Information Processing Systems (NeurIPS), Workshop (2025) 4

Reference 53

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FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Transactions on Machine Learning Research (2024) 4

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Observation 39a78812-d94c-4b40-823d-0885a46e817e · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 2, 4, 8.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 2, 4, 8

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb024bdd-cde4-4d88-9582-2d3867288407 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d100e14-e664-4e05-a37b-0926478ec8d3 · outbound

This paper cites In:Proceedings ofthe International Conference onMachine Learning(ICML).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In:Proceedings ofthe International Conference onMachine Learning(ICML)

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52642f29-6942-4d6e-8cff-a7edbd7f52b6 · outbound

This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR) (2021) 2, 4.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the International Conference on Learning Representations (ICLR) (2021) 2, 4

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a45982-08a7-41fe-9aa8-51932f09af16 · outbound

This paper cites In: Pro- ceedings of the Advances in Neural Information Processing Systems (NeurIPS), Workshop (2022) 2, 4.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Pro- ceedings of the Advances in Neural Information Processing Systems (NeurIPS), Workshop (2022) 2, 4

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb72719-c3c2-4137-9807-c86364513dee · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c41098-6b5c-465f-9fde-cf01184648d5 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recogni- tion Conference (CVPR).

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation In: Proceedings of the Computer Vision and Pattern Recogni- tion Conference (CVPR)

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492594a4-b409-4272-8bc3-5fe57e70c65e · outbound

This paper cites Improve Cross-Architecture Generalization on Dataset Distillation.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Improve Cross-Architecture Generalization on Dataset Distillation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

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Unavailable: canonical work link unavailable.

Observation 5df44cdd-d93c-4ec8-bf97-ea4a77e29105 · outbound

This paper cites Moreover, by Eq.(16), the diversity of the resulting representations is also limited.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation Moreover, by Eq.(16), the diversity of the resulting representations is also limited

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a55c546-f8da-4b78-a977-0117809a4839 · outbound

This paper cites (18) into Eq.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation (18) into Eq

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:04.651956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8614f945-9f60-41e2-b48b-e95d8ac9c816 · outbound

This paper cites (23) and (24) yields tr Σ(y) A ≥ i−1 N2 S η 2 (Ej<i[ℓ2(Ay,i, Ay,j)])2.

FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation (23) and (24) yields tr Σ(y) A ≥ i−1 N2 S η 2 (Ej<i[ℓ2(Ay,i, Ay,j)])2

Reference 65

Resolution: malformed identifier; no resolver link, observed 2026-07-13T18:26:04.651956Z

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Pith citing papers

Observation 6b74a134-c83e-4c24-a1c4-2455075511c1 · inbound

Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models cites this paper.

Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T02:15:38.551991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.