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Paper Citation Record · LEDGER

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.16635.

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

pith.paper-citation-record.v1
2305.16635 v4

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 2026-07-31T06:34:12.847434+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:59:55.849296Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:59:56.025077Z

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 45e2f7f5-77d5-420a-93ef-ddc884dce42f · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:44:03.220257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-13T04:44:03.148223Z digest=sha256:817ce5755be8582517d723549dfe72c063052a00dd1aed34379f10fa9916471e

Observation f39c2fe6-652e-4e6c-be87-b504eecdcc63 · inbound

Reinforced Self-Training (ReST) for Language Modeling cites this paper.

Reinforced Self-Training (ReST) for Language Modeling Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:59:56.027868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-13T07:59:55.849296Z digest=sha256:9369800bf7585880c2a8dff2157188a7e141c2ee0478cc9680aa244311496977