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Paper Citation Record · LEDGER

Pre-trained Summarization Distillation

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:9862e3b5f62a246c8ec34d0de5d670f5568d13eaf371815533c569d51dfe224e

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:fc54c3e813f1dd6a242d4d581a90229bcbc230c9aa7ae5b6d228203f4a6de4ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T20:09:47.931263Z digest=sha256:74ad0841bd9b9f229be3a2e45dfa97fe0d619aa2bd805ead50e994d4896933d8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:16:51.109113Z digest=sha256:2d0596639483788cf836076b89b224b424212bf4c8589737a4177012a8a1a268

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-25T23:57:53.233966Z digest=sha256:3b9f29beb539ffe7bcb5d8218b069306c5688daa54394c330bfc682e5bf0365e