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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation 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 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T20:41:09.235036Z

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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:14:22.616580Z digest=sha256:8303ad79e4625c11b4b6de31211a531c8c10b0b7cc6cf99541e39d1bd40a6aa6

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:22.739876Z digest=sha256:6a2065c9420033f009f4498d50c17b025ada65c15fbcd6c9cbbaead1ce37ac31

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:22.864744Z digest=sha256:11c6e114a5204ad0862163ad3b6e6faf7e33613c8fdf67cde19a167e10543b9b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:23.034175Z digest=sha256:f0e9f90ab1a68893e416f7abdb1b4543e9b51b5b550bd442e273bd38a11a938c

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:23.171656Z digest=sha256:7ae760a0ae7dd9d22a707c91e62a976d780520f8dd12dd4b3632ca0ac0c1d497

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:23.265266Z digest=sha256:8f64e852991a7534dc5acf0d84db7bb042df302ddf0966b0817cfafb22ebab36

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:23.339464Z digest=sha256:9d4a72124dea81545015df13a00de5a0e1f0c1edd1faf146044c8ec2936ac96a

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:23.479988Z digest=sha256:b2feffc2b69057b3931cc81c1b7643ccbe337b4726cad1d755986562751e188b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:23.857537Z digest=sha256:4679ae99d6f49af78af3476d0fe1405364699c4d63d137275dc73c1ed46b4c92

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

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source=pdf_text observed=2026-08-07T13:14:23.981990Z digest=sha256:1eb6f3f75c6a75dd45cce9f6a1393e01f613e8c2cc2c5d23872ca9ffd970b37d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.064384Z digest=sha256:f253f2c487c0d97a97ada61f90f495332cfb4924bf1bb95918eabe8c1831f883

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.155898Z digest=sha256:98fb3e0ae4f45f2894f39333de5aea233700ecbc2cf6ea45cdc2cce7d26e2c74

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.233548Z digest=sha256:e0b584f5c4f20ebe3998cf2bd7a7e7561be5feef7e521aff6182e093b7366115

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:24.302864Z digest=sha256:28863d7cd7d3b781c4a31dfd7c4ca3e16e1cd79b05e4099078b36620ee22a2c0

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:24.368467Z digest=sha256:e0efc120ec53590aab6fc49e33acb2b4fc345411250f69c119df1f088a5d76aa

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.431726Z digest=sha256:25e40f8695052dc5cc293fb5a0de3f2e69ff1bc9f16dc39881dd4ea14c0bfcb5

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.512028Z digest=sha256:e9015c2bd3dbae3e4b0d4568e19ea3748c4777dbaf679d77aab4af245027f523

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:24.577236Z digest=sha256:866d98d0330a65d7aa4b82e0e135b1573e8351c0d4b2c0ae8560e690a87d1d13

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.647189Z digest=sha256:6e9e63dcbdc7ef916ea88695af553532091b61e5d92be8555085f12f0207459a

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.715315Z digest=sha256:c88d3cbddcd67ebf351b6035a8511d30af801b990ce00e894f02d5e0dd7640d4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.799277Z digest=sha256:12635a41f52909ce4e02351926a19667e0388d924e790364d41d3f809029b7fe

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:14:24.904524Z digest=sha256:66eff1be431a14df94c096b79862d625c8d905f172f9191e8a0cf6e3723b1cb8

Pith citing papers

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T20:41:09.235036Z digest=sha256:051ac0c68a3d98906c42d2616a5ff9b11020ef8f309837f3a989727299ebfe90