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Paper Citation Record · LEDGER

Pre-trained Summarization Distillation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.13002.

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

pith.paper-citation-record.v1
2010.13002 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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:47:26.239048Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:58.401609Z

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 02294ade-0622-47e8-8e3f-00f6aaaadeef · inbound

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding cites this paper.

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding Pre-trained Summarization Distillation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:59.880897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:59.880897Z digest=sha256:b2a4bd2937bef0de08530656b3531fc396ff9e8445056117767760f6fa8e15e3

Observation b6829f92-af65-4be5-aedf-56b2b177b862 · inbound

CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records cites this paper.

CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records Pre-trained Summarization Distillation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T19:47:26.239048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:47:26.239048Z digest=sha256:c65839d383968db1db075c24c90be9ad0ba37ccd39eaabdf80d0e9089e72c724

Observation d2fc342a-6e36-4d5b-8cd3-33342cb960ea · inbound

Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation cites this paper.

Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation Pre-trained Summarization Distillation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:10:18.048146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T20:09:47.931263Z digest=sha256:314cbc257bc437e7841bb5e93f02517cb49b0a06d6792f8402928fd20e9b702e

Observation 1cfb97d3-d4b5-413f-ac91-16ab2fba3af0 · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models Pre-trained Summarization Distillation

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:05:58.711958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:16:51.109113Z digest=sha256:cc71b4aeda14f0f40597d55d987dc6bd3845da08fa69f2d195783f1f2e9984f5

Observation 33a6cf09-b59f-49e2-8a5f-a072827fa580 · inbound

CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder cites this paper.

CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder Pre-trained Summarization Distillation

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:09:58.403461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-25T23:57:53.233966Z digest=sha256:1a0f788adfe599d0f0b96e2f457c98cd287be6c6b41bc3c7106f5cf6ff7a4882