Paper Citation Record · LEDGER

Revisiting Self-Training for Neural Sequence Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.13788.

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

pith.paper-citation-record.v1
1909.13788 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:56.143528Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:59:56.020404Z

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 15fe4b61-f55d-4bcf-9ccf-f7cebb222a70 · inbound

Reinforced Self-Training (ReST) for Language Modeling cites this paper.

Reinforced Self-Training (ReST) for Language Modeling Revisiting Self-Training for Neural Sequence Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:59:56.023021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38f6946f-37c8-439b-a048-d1c8a174f764 · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent Revisiting Self-Training for Neural Sequence Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:56.143528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375bfb5d-69b2-446c-8fa6-36c7db31ab59 · inbound

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation cites this paper.

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation Revisiting Self-Training for Neural Sequence Generation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:39.401081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5d48a0-1f04-4a36-914f-7aa12ca90468 · inbound

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision cites this paper.

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision Revisiting Self-Training for Neural Sequence Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:02.757778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.