Paper Citation Record · LEDGER

Pre-trained Models for Natural Language Processing: A Survey

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2003.08271.

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

pith.paper-citation-record.v1
2003.08271 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:30:09.875687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T10:04:06.668024Z

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 6f31355e-1c15-479d-9176-46085581876a · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Pre-trained Models for Natural Language Processing: A Survey

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:46:40.571272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc2cb1ca-972b-4579-b7a5-dd931d15588d · inbound

Rethinking negative sampling in content-based news recommendation cites this paper.

Rethinking negative sampling in content-based news recommendation Pre-trained Models for Natural Language Processing: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T21:30:09.875687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a792ed2-535f-4934-abcb-d90a6087b3e4 · inbound

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning cites this paper.

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning Pre-trained Models for Natural Language Processing: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:02:32.273823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f30f30-9146-4978-bdb5-c916036927f4 · inbound

Densing Law of LLMs cites this paper.

Densing Law of LLMs Pre-trained Models for Natural Language Processing: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T21:40:05.532012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce19a0c0-7deb-4c18-a68b-f060cdbedd6c · inbound

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud cites this paper.

Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Pre-trained Models for Natural Language Processing: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:58.143893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d2b179-1be3-4f03-bca5-fed19fe14733 · inbound

MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices Pre-trained Models for Natural Language Processing: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:31:21.251814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b78cbad-8ea7-4028-824f-f97ad20da38a · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models Pre-trained Models for Natural Language Processing: A Survey

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:26:10.619271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af09dbdc-173a-4348-a7d4-fd99e21deb46 · inbound

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Pre-trained Models for Natural Language Processing: A Survey

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:25:19.167501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69666ab5-87d9-4fbd-86d5-311c3b572928 · inbound

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis cites this paper.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Pre-trained Models for Natural Language Processing: A Survey

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.669962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.