Paper Citation Record · LEDGER

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2104.08678.

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

pith.paper-citation-record.v1
2104.08678 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:35:38.514355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T09:05:35.915889Z

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 556cc2a8-13c3-4457-8f0c-e32148bc4baf · inbound

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned cites this paper.

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:38:08.438644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c02b18a0-084d-454c-94c9-51977fb37fab · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:03:06.072736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86796b41-e78d-4801-827d-050558a0f9cd · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:48:33.275734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d171c48-4e6e-483b-9792-b3715f84e2fa · inbound

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models cites this paper.

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T09:05:35.918882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 746e3596-308d-4da8-b88f-f260e5b181b7 · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:43:30.130930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9955273-cd81-41d7-bc03-fabd187a0312 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T23:35:38.514355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.