Paper Citation Record · LEDGER

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2505.22387.

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

pith.paper-citation-record.v1
2505.22387 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:24.904524Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.683879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:43:43.415322Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy22
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65eb371c-c7cc-407b-b984-7c6e988550df · outbound

This paper cites Dataset Distillation.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dataset Distillation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:22.109158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7526eb7-745a-4880-b201-fc34a13b026c · outbound

This paper cites Dataset condensation with gradient matching,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dataset condensation with gradient matching,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:29.930706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3955be78-c8f3-4559-8c8e-f1a5ac18ad15 · outbound

This paper cites Dataset condensation with distribution matching,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dataset condensation with distribution matching,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:29.741507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7303d737-4250-45f0-8e3c-346589548d4e · outbound

This paper cites Dataset distillation by matching training trajectories,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dataset distillation by matching training trajectories,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:29.481015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07aca50b-f3ac-4af1-8970-5990c6b9a433 · outbound

This paper cites Learning multiple layers of features from tiny images,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Learning multiple layers of features from tiny images,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:22.616580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4fcb3b8-a43f-4afe-9a65-ce36767c3c57 · outbound

This paper cites Deeper, broader and artier domain generalization,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Deeper, broader and artier domain generalization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:29.209496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e322050-7472-48cd-a026-28b5f58f1d49 · outbound

This paper cites Fda: Fourier domain adaptation for semantic segmentation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Fda: Fourier domain adaptation for semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:28.998873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 091a2b28-7b0b-486e-92ac-99db53b7ec60 · outbound

This paper cites A fourier-based framework for domain generalization,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation A fourier-based framework for domain generalization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:28.676613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39dd0459-2460-4e81-afcc-8ca55d8b9d1c · outbound

This paper cites Dataset condensation via efficient synthetic-data parameterization,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dataset condensation via efficient synthetic-data parameterization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:28.457590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a77ce5af-50b3-4b9a-9445-442233356556 · outbound

This paper cites Improved distribution matching for dataset condensation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Improved distribution matching for dataset condensation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:28.219022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e255e5b-ece6-48dd-802f-b1523532400d · outbound

This paper cites Towards lossless dataset distillation via difficulty-aligned trajectory matching,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Towards lossless dataset distillation via difficulty-aligned trajectory matching,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:28.020875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c628ecd6-ab69-4d0b-a971-a5a7fda9f332 · outbound

This paper cites Generalizing dataset distillation via deep generative prior,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Generalizing dataset distillation via deep generative prior,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:27.671548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 267e465d-1af9-4274-8208-9128f4afa508 · outbound

This paper cites Dˆ 4: Dataset distillation via disentangled diffusion model,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dˆ 4: Dataset distillation via disentangled diffusion model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:27.326172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5267615f-25d8-44ea-9d4d-2f7d337601f2 · outbound

This paper cites Accelerating dataset distillation via model augmentation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Accelerating dataset distillation via model augmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:27.069629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6702e151-fd42-43d6-a1fc-1cdb14a5600d · outbound

This paper cites Minimizing the accumulated trajectory error to improve dataset distillation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Minimizing the accumulated trajectory error to improve dataset distillation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:26.832954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61e808a4-dce9-42dc-bed1-234b0ebb2610 · outbound

This paper cites Domain-adversarial training of neural networks,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Domain-adversarial training of neural networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:23.857537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b01ea0a3-555e-4e26-941a-3bd67baf2054 · outbound

This paper cites Conditional adversarial domain adaptation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Conditional adversarial domain adaptation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:23.981990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc50eae9-7760-49b7-a363-6c5f967f62e3 · outbound

This paper cites Bridging theory and algorithm for domain adaptation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Bridging theory and algorithm for domain adaptation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:26.671982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81db1bbd-ae1d-415b-a24e-48e9fb3cdb46 · outbound

This paper cites Patch-mix transformer for unsupervised domain adaptation: A game perspective,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Patch-mix transformer for unsupervised domain adaptation: A game perspective,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:26.478771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 299a9e27-8681-4fc4-95d5-0e5cb250943f · outbound

This paper cites Domain generalization via conditional invariant representa- tions,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Domain generalization via conditional invariant representa- tions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:26.199022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4009c7a9-87c4-4844-9b5a-e81b3ab3a96b · outbound

This paper cites Domain Generalization with MixStyle.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Domain Generalization with MixStyle

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:24.302864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758526ba-997b-4ecb-b42c-d859c0cebe73 · outbound

This paper cites Swad: Domain generalization by seeking flat minima,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Swad: Domain generalization by seeking flat minima,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:24.368467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5ded00-04fa-467a-9f0d-4fd5a711db9a · outbound

This paper cites Pcl: Proxy-based contrastive learning for domain generalization,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Pcl: Proxy-based contrastive learning for domain generalization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.843353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b544e0a-b1e3-4d29-a4d0-03917c63cedb · outbound

This paper cites Tcx: Texture and channel swappings for domain generaliza- tion,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Tcx: Texture and channel swappings for domain generaliza- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.635238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16d75a14-225e-4e1c-8d01-4f3333f29d02 · outbound

This paper cites Tiny imagenet visual recognition challenge,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Tiny imagenet visual recognition challenge,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:24.577236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ad3edb-975e-4166-a034-f2ad6d5488b5 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.527244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa2f5747-c38e-4e07-aab1-8a7179fdc161 · outbound

This paper cites Deep hashing network for unsu- pervised domain adaptation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Deep hashing network for unsu- pervised domain adaptation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.398263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9df9a87f-f3c0-43ba-9ac0-79fca1ef2ad3 · outbound

This paper cites Dynamic few-shot visual learning without forgetting,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Dynamic few-shot visual learning without forgetting,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.260386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0166584b-cd67-4724-ad95-e5667706c61b · outbound

This paper cites Moment matching for multi-source domain adaptation,.

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Moment matching for multi-source domain adaptation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:14:25.109845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation e303f289-de8d-4791-ae98-8c344ea8c07a · inbound

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions DAM: Domain-Aware Module for Multi-Domain Dataset Condensation

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-08T18:29:50.683879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdfc516d-93c6-4c5f-b390-03c02b69c764 · inbound

Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation cites this paper.

Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation DAM: Domain-Aware Module for Multi-Domain Dataset Condensation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:43:43.416978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.