Paper Citation Record · LEDGER

Unified Language Model Pre-training for Natural Language Understanding and Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1905.03197.

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

pith.paper-citation-record.v1
1905.03197 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:06.450782Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:47:34.544572Z

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 5e52b15c-aec6-477e-8d50-e3b6f7b95096 · inbound

What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks cites this paper.

What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T18:59:49.546999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f5a24a9-38f9-47eb-b8ce-585ac9cabce6 · inbound

RoBERTa: A Robustly Optimized BERT Pretraining Approach cites this paper.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.486013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a53518ca-078b-4691-82dd-7aaeb14d7865 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:37:55.548775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3df534d1-e7f9-4833-85ef-8f9f3e25c53b · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:14:58.177336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc721b49-56b1-420f-a407-bf1fcae9d707 · inbound

Enriching and Controlling Global Semantics for Text Summarization cites this paper.

Enriching and Controlling Global Semantics for Text Summarization Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T13:56:12.933460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00b68de8-8bd3-4489-aacb-0495a2640d14 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.299739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c8f2eb3-db3b-4002-8ca0-d29cde02343b · inbound

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models cites this paper.

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:43:53.970535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2b58e99-5183-498f-bfa3-8cc0f1c93ddf · inbound

Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation cites this paper.

Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:06.450782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc0d8ca-7914-4159-a55c-9afb64ce28f9 · inbound

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems cites this paper.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T19:36:57.108066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8152c68-d6fe-4fbe-972a-4ea5124da0dc · inbound

Ad Headline Generation using Self-Critical Masked Language Model cites this paper.

Ad Headline Generation using Self-Critical Masked Language Model Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-10T20:47:34.545722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e3380d1-9281-4ff6-82cb-0a5ba5c1bc6e · 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 Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:56:41.159349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.