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Paper Citation Record · LEDGER

Autoregressive Knowledge Distillation through Imitation Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.07253.

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

pith.paper-citation-record.v1
2009.07253 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:36.041376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:20:01.598781Z

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 a9db491b-3eb5-4dbd-ad29-ceaac82ed632 · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models Autoregressive Knowledge Distillation through Imitation Learning

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-12T11:06:36.041376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:06:36.041376Z digest=sha256:a8ada148c2eabc26696c7a484ad653ea3b7085202410348ea812d6fbd9a4c5d3

Observation 3d4cb55c-6109-4502-8d33-b59771de9ca1 · inbound

On Teacher Hacking in Language Model Distillation cites this paper.

On Teacher Hacking in Language Model Distillation Autoregressive Knowledge Distillation through Imitation Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T11:34:56.975671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:56.975671Z digest=sha256:98dd4504a68e457eb9693030e837cf1121f797e2b393b284ebce7c61b1d5127a

Observation 70bf6e29-f7cc-4636-ac7f-62e44b09a863 · inbound

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework cites this paper.

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework Autoregressive Knowledge Distillation through Imitation Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:20:01.605055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:20:01.379230Z digest=sha256:f11cdd3df69b149165e2c832dec3abe4b5d702377df63761c8cd005480cb5089

Observation 5614b93f-6c4e-4e2a-9038-1f2b1cfd04e7 · inbound

Stable On-Policy Distillation through Adaptive Target Reformulation cites this paper.

Stable On-Policy Distillation through Adaptive Target Reformulation Autoregressive Knowledge Distillation through Imitation Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T11:14:51.804936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:14:51.804936Z digest=sha256:34be98a4807e5c1a9667d5e5ac9c1deff7a56b6714e688c73f3f301b72dd4631

Observation a2658691-8d2b-48c8-8943-49620fac2b62 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization Autoregressive Knowledge Distillation through Imitation Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:56.603324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:56.603324Z digest=sha256:f40825629ec87a827c9009f437e6da8cd486243c108f5ed8061fc8eb08ba9ea4