Pith. sign in

Paper Citation Record · LEDGER

Dataset Distillation by Matching Training Trajectories

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.11932.

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

pith.paper-citation-record.v1
2203.11932 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:58.787017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:22.056727Z

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 2e1c84ec-1c7a-4119-b983-1c025c8a6116 · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Dataset Distillation by Matching Training Trajectories

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:58.787017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:58:58.787017Z digest=sha256:1203a990d93cfa681c8cac36d75e396fecd75b2485dc4e9e8e0f2cd9d67cd4f8

Observation 5fc0c48b-1d3a-4b4d-a0d1-68be5bc368a1 · inbound

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

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets Dataset Distillation by Matching Training Trajectories

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:22.058421Z

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.

source=pdf_text observed=2026-06-30T06:54:19.251168Z digest=sha256:a1d7b6c38f6ea008d54d9561da55a2ef2b44dff0ef7aeb8f3fad9dac3013cfa8