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Paper Citation Record · LEDGER

What Is AI Safety? What Do We Want It to Be?

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.02313.

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

pith.paper-citation-record.v1
2505.02313 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:29.113508Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 875f8c17-11e3-49fc-9382-328ae163a7a5 · outbound

This paper cites F., Leike, J., Brown, T., Martic, M., Legg, S., & Amodei, D.

What Is AI Safety? What Do We Want It to Be? F., Leike, J., Brown, T., Martic, M., Legg, S., & Amodei, D

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:29.378939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T01:01:29.074880Z digest=sha256:a15d9c5e58bcf2a07ff2bbb2c7b11dd320f940f90e562561357a656ced95e846

Observation 77455e95-16e7-445d-86b4-efab499bf706 · outbound

This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

What Is AI Safety? What Do We Want It to Be? Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.083037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.083037Z digest=sha256:10f3e3822a6dbff07a6b4e09389eb60660aa7ed400d2de63d4de44beda60869a

Observation 22ccfdb6-80e0-4bd7-93b5-29ac5f6667e1 · outbound

This paper cites Unsolved Problems in ML Safety.

What Is AI Safety? What Do We Want It to Be? Unsolved Problems in ML Safety

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.087057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.087057Z digest=sha256:b394c0603cf60ce3e1a00da87498d9a49eab87e37aee9e735f6e5d976cb68b64

Observation 1aeb6426-4483-43b3-9eb4-222aa0143d5c · outbound

This paper cites An Overview of Catastrophic AI Risks.

What Is AI Safety? What Do We Want It to Be? An Overview of Catastrophic AI Risks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.091172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.091172Z digest=sha256:e4276e89b877ff4dcb87fc75bb5e3b40a3cbee652a41b700a2a50852eab26f39

Observation 82422531-643b-4894-be59-52b7081edc76 · outbound

This paper cites Rafailov, R., Sharma, A., Mitchell, E., Manning, C.

What Is AI Safety? What Do We Want It to Be? Rafailov, R., Sharma, A., Mitchell, E., Manning, C

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-16T01:01:29.234859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T01:01:29.102546Z digest=sha256:4cdaf95f5a825f679d0230170177636df4ef41c475ab6453c402bc66b6ae0e34

Observation 703c46e0-18f5-4cf7-9b1b-b0ad3173813d · outbound

This paper cites D., Smart, A., White, R.

What Is AI Safety? What Do We Want It to Be? D., Smart, A., White, R

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:29.365612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T01:01:29.105955Z digest=sha256:593be8a42c503eb598d3452e0cd3264e25a985c73e60e32b6fdccac493ec8717

Observation 931b15e0-ed38-44ff-b8cf-ae9ce5d5b33c · outbound

This paper cites an unresolved cited work.

What Is AI Safety? What Do We Want It to Be? Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:29.350915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T01:01:29.109691Z digest=sha256:da34f771026db4181b6971ac7abfe009624406da78b12a326617fc97475d0453

Observation 901a96a6-e93e-467a-b492-f65210ed8e25 · outbound

This paper cites What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring.

What Is AI Safety? What Do We Want It to Be? What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.113508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.113508Z digest=sha256:7a5379296e3f6efe1761726bcb46967a7a14a97c806b6e758d28fe7d4689ea95

Observation 10ecff86-c3ff-49a2-8b66-28128090884c · outbound

This paper cites A Holistic Assessment of the Reliability of Machine Learning Systems.

What Is AI Safety? What Do We Want It to Be? A Holistic Assessment of the Reliability of Machine Learning Systems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.078756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.078756Z digest=sha256:340dcd1cb85a069638235c80b8604faa14a656d506eb331fc9edd70d9f39833c

Observation faffabd6-33a1-46a5-9391-9229a2b59499 · outbound

This paper cites The Alignment Problem from a Deep Learning Perspective.

What Is AI Safety? What Do We Want It to Be? The Alignment Problem from a Deep Learning Perspective

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.098629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.098629Z digest=sha256:74b8a172396b843d7c59cfeae9ddcb1ac0ac0d8b9ce4b16b24c426d4d53a775f

Observation 28ba3b27-3601-4a1f-acfc-36b162277bbd · outbound

This paper cites On Evaluating Adversarial Robustness.

What Is AI Safety? What Do We Want It to Be? On Evaluating Adversarial Robustness

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.066262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.066262Z digest=sha256:54e35e89396d835d1e9044059806f6a5f52ed8882e42c735f1606d162659085b

Observation 157bb972-5cfb-4092-9db8-16fb500daf33 · outbound

This paper cites AI safety via debate.

What Is AI Safety? What Do We Want It to Be? AI safety via debate

Reference 1995

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.095027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.095027Z digest=sha256:1c7d850ed9d5a031d7d2f7dbe8787cfd48d6220cb324795fedb4306df98bd440

Observation 8b6b4ab2-641c-4bc8-b438-0f2efaac871f · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

What Is AI Safety? What Do We Want It to Be? Measuring Progress on Scalable Oversight for Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.062041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.062041Z digest=sha256:81042698ffca519ca1bb895ff2e1789c6ed4b931172afeffd363d61a9ccb6a53

Observation 35681592-fbcd-42c7-88b5-dd4635ac7b1a · outbound

This paper cites Collag- ing.

What Is AI Safety? What Do We Want It to Be? Collag- ing

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:29.392168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T01:01:29.070793Z digest=sha256:e09e2aa32beac63b9379bd83e314712d4276646274370f8eb66f52075307e513

Observation f6312918-9cb3-45ed-84b6-34087322d821 · outbound

This paper cites Concrete Problems in AI Safety.

What Is AI Safety? What Do We Want It to Be? Concrete Problems in AI Safety

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:29.056887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:29.056887Z digest=sha256:9eeca72d7e44669a267e309099888f70c5c3ead535563a956ffd9960424ddf9f

Pith citing papers

No inbound Pith citation observations are available.