Paper Citation Record · LEDGER

Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.05773.

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

pith.paper-citation-record.v1
2310.05773 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:59.733364Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.768145Z

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 848806e4-4cf2-41f8-a7a8-4bdebfd89c33 · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:59.733364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00da97ca-072f-481d-b10d-e8126f70e8a9 · inbound

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment cites this paper.

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:59.760610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42ef07e-5ab8-4797-aea5-a4bba54d462c · 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 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.272720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a35d5d2-afe8-45f8-b74b-bf033d576ff5 · 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 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:29.652433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdb2493c-59ab-4448-9eed-ed4ebe9b552f · inbound

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

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:17:59.347266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fabee936-a4f7-459c-bc19-0a9eefe38290 · 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 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:29.770703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba22d0ce-5b3a-438c-aaa0-21214b76615a · 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 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.564833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8729e47-b022-4e26-8c7b-047e19ad9a70 · inbound

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

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:24:21.240629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e8e6ad6-5ff6-49eb-a94b-009f22c6fb81 · inbound

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

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:22.002050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 871ba105-5f6e-4bc9-a7fb-b5b8bb3380c8 · inbound

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

Condensing Large-Scale Datasets Directly with Minimal Information Loss Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:07:02.385311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8689628-dbef-4007-b3ca-bba7c47edcc5 · inbound

Dataset Distillation by Influence Matching cites this paper.

Dataset Distillation by Influence Matching Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T19:49:23.223662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.