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Paper Citation Record · LEDGER

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.06629.

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

pith.paper-citation-record.v1
2306.06629 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:24:32.238698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:45:52.282143Z

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 3063166a-643c-4802-8e90-be946239aa74 · inbound

Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing cites this paper.

Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T20:24:32.238698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:24:32.238698Z digest=sha256:3ca4bcd37daabfe076d286a1fdf0c8149def1459de2a67787413f5cfff4ef70c

Observation af531e27-ff4d-4dec-b69b-85a21ba8a24c · inbound

MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate cites this paper.

MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:19.061053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T15:18:39.844534Z digest=sha256:b1720b7e6bb5af02a78f0c2c9700bdc51b538c222ac964aa01b998cc4f11e415

Observation 2ba4d393-dff7-4ebe-87ac-d82f296807a6 · inbound

Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems cites this paper.

Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:45:52.283783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T03:06:29.733729Z digest=sha256:26975697fabb764556a8c3ec0ec62ed2d4440649ac22974845eab57566e5d92f