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Paper Citation Record · LEDGER

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1908.06083.

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

pith.paper-citation-record.v1
1908.06083 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:06.296744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:48:33.245300Z

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 e1217722-edd0-4b8a-8a4b-13ab2100a6c6 · 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 Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:38:08.486810Z

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.

source=pdf_text observed=2026-05-12T01:38:08.362920Z digest=sha256:e849ec24d94395f1169eea358eb370b3158b08cc3e7bf4ee9d1a4be2f83636d6

Observation 1aa0bb14-1548-4f95-87cb-0eaf7645b239 · inbound

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

Jailbreaking Black Box Large Language Models in Twenty Queries Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:48:33.248860Z

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.

source=pdf_text observed=2026-05-12T09:48:31.721745Z digest=sha256:da71e9ff120d6162159399188ef7820a2667788c79ae2a4dbcb7b01dfcc22946

Observation 73945fed-74a1-482b-bf8d-7a752a747947 · inbound

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models cites this paper.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:47:06.296744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:47:06.296744Z digest=sha256:2ddb0df39d1946ebefe9d709134847f12e3c272b645880fc4e004652f6ec811e

Observation 574d3678-30ed-4795-905f-b9ba33de1454 · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:28.494126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.494126Z digest=sha256:3b37336cc07de57e04dad193fc873b27249a065a4e66d8833769b34e0e93e483

Observation 3c10ce6e-2b23-484f-84b6-923160c54a4a · inbound

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers cites this paper.

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:28:50.247767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:28:50.247767Z digest=sha256:a8f95f08ed091f8776a0c0b5693c5cf59a13918b8811ba8d37e6850db9a3b77b

Observation 6e5c5668-4e9e-4aa8-a203-b5f3cc5ee6bb · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T13:05:32.282983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:32.282983Z digest=sha256:9e588a51e70777088861d16e96b5382264636fb30ab12264f47e5f5230d9defa

Observation 58c8e241-d88a-47d9-830e-cc3c76c32f64 · inbound

CapTune: Adapting Non-Speech Captions With Anchored Generative Models cites this paper.

CapTune: Adapting Non-Speech Captions With Anchored Generative Models Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T15:22:19.551711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:22:19.551711Z digest=sha256:75086a57fd95e817b15ec391fa80e113e78afc400def7e0d307e3ec454f0f95e