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Paper Citation Record · LEDGER

DREAM: Efficient Dataset Distillation by Representative Matching

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.14416.

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

pith.paper-citation-record.v1
2302.14416 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:14:28.280665Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:07:02.379420Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c4ca14ce-ce22-40e4-ac29-b155c095b331 · inbound

Data-to-Model Distillation: Data-Efficient Learning Framework cites this paper.

Data-to-Model Distillation: Data-Efficient Learning Framework DREAM: Efficient Dataset Distillation by Representative Matching

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T17:14:28.280665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.280665Z digest=sha256:504cc1de5a1d413c11a564daec44c60966b71100a372e25c21cfaf19371dc49b

Observation 424bc95d-a33f-4228-bd61-b32652ab58d7 · inbound

GMem: A Modular Approach for Ultra-Efficient Generative Models cites this paper.

GMem: A Modular Approach for Ultra-Efficient Generative Models DREAM: Efficient Dataset Distillation by Representative Matching

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T17:42:11.642367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:42:11.642367Z digest=sha256:1b2315a199bdc7790de9171c893ba9b19160903aece058dfa40c82c992492881

Observation feae79ed-824f-4e31-8e0c-2215b2413dc7 · inbound

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression cites this paper.

Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression DREAM: Efficient Dataset Distillation by Representative Matching

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T15:32:04.710621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:32:04.710621Z digest=sha256:e983f454d3630c1b485af7bedf78d2e9d97ee754b9525b2e74768c149c084df4

Observation 74286918-6fde-428e-8d07-3f417bdd46f9 · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention DREAM: Efficient Dataset Distillation by Representative Matching

Reference 280

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:06:07.230535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T16:38:20.057250Z digest=sha256:3adb09cf2bb91ae499a0772399cb3cbc3219aa07cbcb958ac57278cc4c32b572

Observation ff1764bd-9631-42b4-ba56-729f38c0b9fe · inbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation DREAM: Efficient Dataset Distillation by Representative Matching

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.774543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:e05023bb35c8d66d737ee200de9f607e49e6459afd1739fc43f94e4d8cc64815

Observation 84840ba9-0674-422a-9a63-74b0efee357e · inbound

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

Condensing Large-Scale Datasets Directly with Minimal Information Loss DREAM: Efficient Dataset Distillation by Representative Matching

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:07:02.380723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T13:59:59.488216Z digest=sha256:e0338e5471f6b8e60a55c9d5a08c36767501294371d27ef83974ab9edcf72680