Paper Citation Record · LEDGER

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1909.11764.

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

pith.paper-citation-record.v1
1909.11764 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:35:48.609506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.179388Z

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 54fcb0fe-b259-48bc-88d5-72917c8502fb · 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 FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:37:55.289773Z

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 e6d2a694-7fa5-4067-8485-4185da1e8f43 · inbound

Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.

Baseline Defenses for Adversarial Attacks Against Aligned Language Models FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:24:40.245185Z

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 8963de30-c1a6-4c19-913a-ab3e12aac93a · inbound

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics cites this paper.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:10.916979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6d12c9-8c1c-48d0-a294-1eeebdd0ef52 · inbound

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training cites this paper.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:48.609506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19835db0-ab1d-4f22-b800-4fb696038654 · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.268227Z

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 842a38bf-12fa-4774-bee7-43ea9eb40121 · inbound

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning cites this paper.

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:55:24.117027Z

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 6548c4b7-cd22-4814-bec6-1667cfdc27e0 · inbound

Cheap Reward Hacking Detection cites this paper.

Cheap Reward Hacking Detection FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.181042Z

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 fcf7d90d-2be2-4dec-a76b-46ad346675f4 · inbound

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization cites this paper.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T02:25:09.921868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.