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Paper Citation Record · LEDGER

OpenAI's Approach to External Red Teaming for AI Models and Systems

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 10 inbound Pith citation observations for arXiv:2503.16431.

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

pith.paper-citation-record.v1
2503.16431 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:50:22.016304Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:22.955358Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T07:05:28.399005Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b62d6be-7634-493e-a8e4-8b58f35875be · outbound

This paper cites Dall-e 2 preview - risks and limitations,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Dall-e 2 preview - risks and limitations,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.834758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f3b51dcb-1b0e-4613-8d7b-44ad6d3e3122 · outbound

This paper cites GPT-4 system card,.

OpenAI's Approach to External Red Teaming for AI Models and Systems GPT-4 system card,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.818205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.771620Z digest=sha256:f5a2fda87e89b1eac17da343b9ce26d7533e9f148e41ab56eacb4fcc3f741179

Observation badfad8b-6b59-448a-bc46-95ea4ca4e50d · outbound

This paper cites GPT-4V system card,.

OpenAI's Approach to External Red Teaming for AI Models and Systems GPT-4V system card,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.802437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.776966Z digest=sha256:707285faba37d5939c9d896b8436664f892127bf69b552bf2a20da85894fcb19

Observation 7deccb3a-38de-46b6-ac23-64666823e856 · outbound

This paper cites DALL-E 3 system card,.

OpenAI's Approach to External Red Teaming for AI Models and Systems DALL-E 3 system card,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.786762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.783102Z digest=sha256:f42ecd7f9cfdf843f41f271964b44b3294ced88879dfde3f91b585681bdf53fc

Observation 7ffe7ab5-c4d7-46cd-b784-e425d9628e53 · outbound

This paper cites Gpt-4o system card,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Gpt-4o system card,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T14:50:21.788651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.788651Z digest=sha256:b3d0713f9dea24a92ef0134850cbc8ec6b3753f689d89fe823aa77313fee2af8

Observation dbd25dd0-8916-4576-9372-ce5be1ca827b · outbound

This paper cites OpenAI o1 System Card,.

OpenAI's Approach to External Red Teaming for AI Models and Systems OpenAI o1 System Card,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.759281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.793539Z digest=sha256:fa46a773cb92cf840952f8bb8c882094dd97abf42590218f93ae08a2e4778274

Observation 8013ad6b-aebe-4d5e-a665-b5b46ca63439 · outbound

This paper cites Executive order on the safe, secure, and trustworthy development and use of artificial intelli- gence,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Executive order on the safe, secure, and trustworthy development and use of artificial intelli- gence,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.743720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.799277Z digest=sha256:8ee55b588754561ddee9f31aa26f388e89016f00fba1cc6f8e6232ce81d6372e

Observation 1e39cbb6-94d1-4961-a822-a1945e89f095 · outbound

This paper cites Request for information (rfi) related to nist’s assignments under sections 4(i), 4(j), and 11 of the executive order on artificial intelligence,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Request for information (rfi) related to nist’s assignments under sections 4(i), 4(j), and 11 of the executive order on artificial intelligence,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.727169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.804421Z digest=sha256:67a2af795620cd7a8901aabb678086bd2c386f6f88977e7beda432d719a577a9

Observation 2c3129b1-fbef-4440-94fb-10415e81665d · outbound

This paper cites an unresolved cited work.

OpenAI's Approach to External Red Teaming for AI Models and Systems Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:50:22.695169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.814738Z digest=sha256:a2e41c7bf177ff8e9b19ddf997cf7fe697d7bd4cc3ec6b34fcf1bce2e7e9c401

Observation 2a0effc7-dec9-4fb2-b89a-2fd3a92a8ce3 · outbound

This paper cites Ai safety institute approach to evaluations,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Ai safety institute approach to evaluations,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.679580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.820628Z digest=sha256:d5c15ab335f1963bccd165ac2ecc7ff28c87b62149763518a1d7be770db517fe

Observation 5a31f17e-e699-47c2-8c02-01b47a02f994 · outbound

This paper cites Red teaming and responsible ai in azure openai service,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red teaming and responsible ai in azure openai service,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.648336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.830417Z digest=sha256:3941789a0d2af8ed001c47604dc03a2080a8c3894d9b7fbbb099f70478c65357

Observation 6dd9b4e8-e4e6-4068-af6c-b3095106593e · outbound

This paper cites Red-teaming large language models.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red-teaming large language models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.631789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.835543Z digest=sha256:f999fc48b2fc54cfc090b4a3cfe8e9da3773c58abd59f5d3150d5be2a380def3

Observation 9ccc9bd1-a3b0-47fe-b6ff-937bb7453e7b · outbound

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

OpenAI's Approach to External Red Teaming for AI Models and Systems Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:50:21.840941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.840941Z digest=sha256:70d51e55fee0cb019b5af94aa05de98c303602c20ce164b346590db826e95c1c

Observation 306166f3-bca6-413c-a303-558c30108a9c · outbound

This paper cites Google’s ai red team: the ethical hackers making ai safer,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Google’s ai red team: the ethical hackers making ai safer,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.615195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.846331Z digest=sha256:a7f6f496e098eda2572c6e230ccf12f1504c1c0afb3c27f693cbc44aa3538f84

Observation dd4d2b91-9579-43e0-85e1-26179b7cfbd8 · outbound

This paper cites Beyond static ai evaluations: advancing human interaction evaluations for llm harms and risks,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Beyond static ai evaluations: advancing human interaction evaluations for llm harms and risks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.597652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.851315Z digest=sha256:f91acf68e30df3214e487a1762267d964e75e704fe0b021d3634449d24cbed5b

Observation b5dec154-c65a-40df-955c-ea5cf62db960 · outbound

This paper cites Red teaming language models with language models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red teaming language models with language models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.581418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.859575Z digest=sha256:a86fe8e4e5a5bcf774cf591cd95c599033d7c1ff93f73de20f414015a49a7284

Observation 316323f9-c0ca-47c2-aab6-5330838c7e19 · outbound

This paper cites Challenges in red teaming ai systems,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Challenges in red teaming ai systems,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.565664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.864476Z digest=sha256:f60c9a4e04c85bb02bfad9ee42cf4ece3fba7a77eb23c5ccb074a1ea77eb5c8a

Observation 4bed3014-8e5d-493b-ac98-74111a28a312 · outbound

This paper cites an unresolved cited work.

OpenAI's Approach to External Red Teaming for AI Models and Systems Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:50:22.549657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.869253Z digest=sha256:85802be2bd6c31374795baf668326f936febbd7b085f1f971c5a9eb2c145028c

Observation 44a7b418-46ca-423d-a4f3-893629d93035 · outbound

This paper cites Visual synonyms for landmark image retrieval,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Visual synonyms for landmark image retrieval,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.532338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.874721Z digest=sha256:fad73afb519865348054ef1eb9366e51069ced3aa10c706ce6fed14108772b01

Observation 6e1ed9f3-272e-4119-b4e0-d5086e4d4c11 · outbound

This paper cites Contextual synonym dictionary for visual object retrieval,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Contextual synonym dictionary for visual object retrieval,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.515551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.879987Z digest=sha256:988895a7c13eee8e03d1d830c2211bb2ce174306d390fa931d3de0d09de24da3

Observation d2d29194-444b-49d2-985e-a0fb8d92cf3a · outbound

This paper cites Red teaming large language models in medicine: Real-world insights on model behavior,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red teaming large language models in medicine: Real-world insights on model behavior,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.498052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.885315Z digest=sha256:c226f02ad2fd47c9ae9a62feb5c9267388dd125e819b28101b8b41fcedc90975

Observation cb9f1c7f-3d31-4764-b5a0-19d0f9fa347d · outbound

This paper cites Large legal fictions: Profiling legal hallucinations in large language models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Large legal fictions: Profiling legal hallucinations in large language models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.482156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.891194Z digest=sha256:d13a1817b532883dd6cb91d29c211e11235511871c6c39083cf313cb807c3804

Observation 3e41ee5f-1625-4be7-bc1e-bd8637aa2930 · outbound

This paper cites What is ai red teaming?,.

OpenAI's Approach to External Red Teaming for AI Models and Systems What is ai red teaming?,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.465257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.895948Z digest=sha256:6321b4801aef78b09e113e3ec22290fa7c443579b3d7ce53e0670c749f359005

Observation 83a5e7fd-4c48-4783-961e-db84cb1e3291 · outbound

This paper cites Threat modeling - owasp community pages.

OpenAI's Approach to External Red Teaming for AI Models and Systems Threat modeling - owasp community pages

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.448988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.900583Z digest=sha256:85762a9a25825641125f0cee1471f146ff2b30eb5032cda56b8b316746f2049a

Observation 3d8be08a-7181-4c08-98a1-504b096f6e3d · outbound

This paper cites Red teaming network,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red teaming network,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.430994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.905188Z digest=sha256:d727ba3016d755aa59250b7d6eadd03dfa690e118dec52fd5a9182453b6273be

Observation 76a6908f-d245-480f-acc8-32d18796fb7e · outbound

This paper cites Fine-tuning aligned language models compromises safety, even when users do not intend to!,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Fine-tuning aligned language models compromises safety, even when users do not intend to!,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.414108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.909936Z digest=sha256:4d1bae02c9e108d7e4d7c21f7dbda4c09d4a4c197454700aed6ae6474e3d96b8

Observation ad76d2e2-ed61-4102-a6af-8e5bb1c41896 · outbound

This paper cites Decodingtrust: A comprehensive assessment of trustworthiness in gpt models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Decodingtrust: A comprehensive assessment of trustworthiness in gpt models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.398361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.915351Z digest=sha256:03eb3b581f8b5f57f54256b4649642209c83229e7ecc2bdb8409a57dc2e8ad3d

Observation 21f0ca21-7736-46e0-a16b-a57379b996a0 · outbound

This paper cites Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.383231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.920284Z digest=sha256:901deeca2b8995e5d9c11451df0f307e37d891eeda69cfb3230358ae88beb157

Observation e16eb0b7-d21e-405d-bfcd-c1fc2386efb1 · outbound

This paper cites Generative ai red teaming challenge: Transparency report,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Generative ai red teaming challenge: Transparency report,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.367051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.925493Z digest=sha256:609fd3e3931a4c4be673ade1da28a318f1dda15e31ba2c6abbbf538d66e27b5d

Observation 6d57a72d-d9d7-4c87-8f3e-61dedaf9203b · outbound

This paper cites Introducing twitter’s first algorithmic bias bounty challenge,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Introducing twitter’s first algorithmic bias bounty challenge,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.349926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.930218Z digest=sha256:27cff96b6af7fd7dc2ce5abbc3f8a7b5d64cc944528220f4d481ce543224d5e8

Observation fe31c8e9-ffaa-4e27-9aec-3058e7aa164f · outbound

This paper cites Bug bounties for algorithmic harms? lessons from cybersecurity vulnerability disclosure for algorithmic harms discovery, disclosure, and redress,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Bug bounties for algorithmic harms? lessons from cybersecurity vulnerability disclosure for algorithmic harms discovery, disclosure, and redress,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.331309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.934972Z digest=sha256:611c961f6e82e2a88594c6c2e3bdb677cf03b6c6a54eeb2c2d8bddf1a9fffe8d

Observation d5780740-4469-4dc1-9aaf-ddd9923eedd8 · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Training a helpful and harmless assistant with reinforcement learning from human feedback,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.314229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.939750Z digest=sha256:3e3b70dbfeb810b933accc4a79cfc201c6a980f814036b86556b4f0c4e59daf5

Observation 1f344a18-974b-4639-a494-5861bfbb9b23 · outbound

This paper cites Process for adapting language models to society (palms) with values-targeted datasets,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Process for adapting language models to society (palms) with values-targeted datasets,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.297150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.944774Z digest=sha256:5989633731f9c77c07e4e42ad646eeeb3a00f12dd6890e25178d22429bbc483d

Observation c01bb96e-7d6f-4ddc-ab5e-7ca9696abef7 · outbound

This paper cites Rule based rewards for language model safety,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Rule based rewards for language model safety,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.279485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.949480Z digest=sha256:5599be391b90be0576e531e81cff923a462b83a3bb1f00c8a8cb5bc0474c85bb

Observation 5f8038ed-a850-41b2-9a42-096bd5ccfcab · outbound

This paper cites Toward fairness in speech recognition: Discovery and mitigation of performance disparities,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Toward fairness in speech recognition: Discovery and mitigation of performance disparities,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.262993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.954419Z digest=sha256:b67e14e8e89142a853b3276c25279e1ecd1852486a864c4ba51c36bc163f7851

Observation 8a075dce-dbb0-4156-a1d1-879f9b268d3f · outbound

This paper cites Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction,

Reference 36

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unresolved
no resolver link, observed 2026-08-10T14:50:21.959150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.959150Z digest=sha256:47e032ed98fed14cb04d64bd297f9f9b8aaff79cb093409e5b50b3541ebfa9a1

Observation 19845c45-3274-482a-bb73-9f87bdef3434 · outbound

This paper cites Felderer and R.

OpenAI's Approach to External Red Teaming for AI Models and Systems Felderer and R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.234584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.964433Z digest=sha256:502b9a43f1fe67120b3206e88f0a9413660f9cab863235c1034ddcc326bfdce1

Observation cf97dde5-d641-4e42-94c7-12347fabd0c3 · outbound

This paper cites Assessing the fairness of ai systems: Ai practitioners’ processes, challenges, and needs for support,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Assessing the fairness of ai systems: Ai practitioners’ processes, challenges, and needs for support,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.217816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.969432Z digest=sha256:0d2a8c9767caef3babef38d9c826d6026ceda97c0fe525c72bcb54a86b150d65

Observation 8d2c6ea0-6398-4bcd-a58b-08a0249a1715 · outbound

This paper cites Red-teaming for generative ai: Silver bullet or security theater?,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Red-teaming for generative ai: Silver bullet or security theater?,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T14:50:21.974474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.974474Z digest=sha256:8c0a08698609af3ae470e92a3b1d7ea4a73a63832cb5af745a3b745e32026db7

Observation 43463a72-3321-4bdc-a174-f4402b75663a · outbound

This paper cites Harmbench: A standardized evaluation framework for automated red teaming and robust refusal,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Harmbench: A standardized evaluation framework for automated red teaming and robust refusal,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T14:50:21.979379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.979379Z digest=sha256:fde2ab98a66698cae07c9cc1ee6f35bb241b637ec9e2bab91d5ab88b70b34168

Observation 160dc5cf-381e-4c59-a911-e84f06524641 · outbound

This paper cites Confidence- building measures for artificial intelligence: Workshop proceedings,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Confidence- building measures for artificial intelligence: Workshop proceedings,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.178267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.984156Z digest=sha256:4a1f40dad7f9dad080cb832e8cef3017e4f123a9824e8b708a959c4ef34cd11c

Observation db38cf2f-ffb9-42eb-bcab-fcb1f3436d7d · outbound

This paper cites Toward trustworthy ai development: Mechanisms for supporting verifiable claims,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Toward trustworthy ai development: Mechanisms for supporting verifiable claims,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.160260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.989073Z digest=sha256:464d16a3b880e4a7425beccf07520474c7be11c9dc1df76f859a3fff60799658

Observation d41f2a8b-be46-47a8-97cc-b5aaef2105cd · outbound

This paper cites Understanding the capabilities, limitations, and societal impact of large language models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Understanding the capabilities, limitations, and societal impact of large language models,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T14:50:21.996045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:50:21.996045Z digest=sha256:d69984c909b2d28dc68e0762dbcc1e95807ebafbc1786f19419cc6711b997c57

Observation eba3affd-a1c9-4dd6-b73c-87d9f6245947 · outbound

This paper cites Summon a demon and bind it: A grounded theory of llm red teaming in the wild,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Summon a demon and bind it: A grounded theory of llm red teaming in the wild,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.131719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:22.000972Z digest=sha256:eabecf57df06dce11e5fffb3de8a5651da1bb8c26bbd81cd9577b103d99f67d2

Observation 43331b2e-fec7-430b-acb9-59d9f34046ac · outbound

This paper cites A hazard analysis framework for code synthesis large language models,.

OpenAI's Approach to External Red Teaming for AI Models and Systems A hazard analysis framework for code synthesis large language models,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.115378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:22.006054Z digest=sha256:825d341735bffefb369cee9841477f2f1d2bb112c35f126a5cc461678aa741dd

Observation 37532849-c289-4762-8ac0-2011ed8ade95 · outbound

This paper cites Ai red teaming is not a one-stop solution to ai harms: Recommendations for using red teaming for ai accountability,.

OpenAI's Approach to External Red Teaming for AI Models and Systems Ai red teaming is not a one-stop solution to ai harms: Recommendations for using red teaming for ai accountability,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.099267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:22.011228Z digest=sha256:23041a4213e8041be6d1c43d4dba3195881e61fd9abe625e6f6f03310b8f6cd0

Observation 192e2dc3-51b7-470f-b5f2-da7d7042457a · outbound

This paper cites Toward comprehensive risk assessments and assurance of ai-based systems.

OpenAI's Approach to External Red Teaming for AI Models and Systems Toward comprehensive risk assessments and assurance of ai-based systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:50:22.079757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:22.016304Z digest=sha256:0c7f1425d1a10fa4ed254f429d28ba2e95f79db8c1c4779dd41a8b680863c996

Observation 6fda45bc-0c89-45c4-8295-244fa4de78f2 · outbound

This paper cites an unresolved cited work.

OpenAI's Approach to External Red Teaming for AI Models and Systems Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:50:22.710733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.809419Z digest=sha256:8698badf454c06d9896ead8399c49c1c45e79e3ba5f2f5ec43d7c658d1586164

Observation 4e4620f9-c7d3-4e19-b7b5-f3556f684cc1 · outbound

This paper cites an unresolved cited work.

OpenAI's Approach to External Red Teaming for AI Models and Systems Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:50:22.664375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T14:50:21.825328Z digest=sha256:1f4a2860bb502ad6dc569d388aa2c197ab316bad6572ffd4b5eac1a175f61a9b

Pith citing papers

Observation c235055e-3b50-43cc-b244-ced9f46ed428 · inbound

The Value of Disagreement in AI Design, Evaluation, and Alignment cites this paper.

The Value of Disagreement in AI Design, Evaluation, and Alignment OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:22.955358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:22.955358Z digest=sha256:37a130cbce874cca7f58305a5a8e22c5ecac73a8f17cf7943211f47050038ae6

Observation bcaa22ee-342f-4a0c-a076-6c87e1fc4f60 · inbound

Aggregated Individual Reporting for Post-Deployment Evaluation cites this paper.

Aggregated Individual Reporting for Post-Deployment Evaluation OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:03.649321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:03.649321Z digest=sha256:58a8918407ae9b049a45ce2b1a12b960a9fc45e69a367d05790dca33b6d99516

Observation a217b5d6-a94c-4be0-aa38-8cdacf503c75 · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:54:21.583577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T20:53:58.198974Z digest=sha256:1d5cabce9acbffe67b3bb99220768b9bab7b2246aceb7e78d697c173c6dca1f4

Observation 465d3ab9-8598-4509-85f9-b27720452408 · inbound

Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments cites this paper.

Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T21:39:52.953061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:39:52.953061Z digest=sha256:45bd552947b69daab55b03717f366ffd8c75f512a6206755f904083b237e8988

Observation 617e1a99-035c-45ac-a900-2147d5010f51 · inbound

AVISE: Framework for Evaluating the Security of AI Systems cites this paper.

AVISE: Framework for Evaluating the Security of AI Systems OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:24:47.392941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T00:07:04.164983Z digest=sha256:26a3f711394b2ad99621eab230eb7213bd943462955aa73a5343c3ce9cbd4b84

Observation c3a048c8-5412-4de2-bf0f-b09f2ee6d403 · inbound

FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism cites this paper.

FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:46:09.250035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T14:05:17.049812Z digest=sha256:2fe97fce3fbf180a3199e67ff9d2788f89118442188c4f9c816e951a5dff6002

Observation 3de5aa7e-bd9d-453e-a463-e33de5893767 · inbound

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption cites this paper.

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:16:28.280098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T06:49:56.316472Z digest=sha256:a0a8de07c45d2933a604ee771c8510ffeba0a987df23ed74efb6115ea5e20d95

Observation b57155c6-d006-4e62-a40f-f76e39746fbd · inbound

Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems cites this paper.

Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:28:47.979561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T17:26:02.346222Z digest=sha256:946b25b080fbb0b41afd2c127c893fc148d15aac7ed526063cb5f36e23b4d59b

Observation d7f537e8-b4d5-4dc2-b23d-33029713e66e · inbound

Understanding Censorship in Large Language Models: From Mechanisms to Governance cites this paper.

Understanding Censorship in Large Language Models: From Mechanisms to Governance OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:05:28.401819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T07:02:35.840261Z digest=sha256:8fafb2672744cf5463268769da05c7ba61728822fb238121a3c8c9531fa676f6

Observation 92c0aac1-bb0d-477b-a0c0-6920772714a4 · inbound

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety OpenAI's Approach to External Red Teaming for AI Models and Systems

Reference 57

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unresolved
no resolver link, observed 2026-07-12T14:28:50.627444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T14:28:50.627444Z digest=sha256:b35fe2182b3e34d6acd3a9f825319e793f779b322463be418b6429c6196b9ef8