Paper Citation Record · LEDGER

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2001.04063.

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

pith.paper-citation-record.v1
2001.04063 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:23:31.668530Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:56:41.142916Z

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 51132e1a-18b7-460e-a469-8e3c4f83fe19 · inbound

Learning to summarize from human feedback cites this paper.

Learning to summarize from human feedback ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:46:18.686897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99eb5995-cb92-4a49-8cf9-bf568109b357 · inbound

When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms cites this paper.

When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:47:38.092489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a181349f-1196-4692-b148-9edb147a3d56 · inbound

COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation cites this paper.

COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:56:41.144127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 91264ceb-fe85-4593-860b-1f7880bd99e2 · inbound

ITGPT: A Transformer Based Architecture for the Generation of Dance Dance Revolution and In the Groove Charts cites this paper.

ITGPT: A Transformer Based Architecture for the Generation of Dance Dance Revolution and In the Groove Charts ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:23:31.668530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.