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Paper Citation Record · LEDGER

Report on NSF Workshop on Science of Safe AI

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.22492.

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

pith.paper-citation-record.v1
2506.22492 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:43.195787Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c1140e4-a5f8-49aa-81f7-9845e5970425 · outbound

This paper cites Bowen, B.

Report on NSF Workshop on Science of Safe AI Bowen, B

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.308896Z

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=2026-08-06T23:01:43.162238Z digest=sha256:faa870ee7a368a2ba904ad9fd80232b14f64afb40c000d15dbd713bbdfca338e

Observation 8c94be19-f3b2-4680-9e30-5080328807ac · outbound

This paper cites Bowen, B.

Report on NSF Workshop on Science of Safe AI Bowen, B

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.302923Z

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=2026-08-06T23:01:43.164890Z digest=sha256:9e167206b3a051051462c14ae6af530deedba486037823b61e67a8a97c7bdd1f

Observation 98a5c5b6-44fb-4307-84e4-ad3e27534878 · outbound

This paper cites Stealing Part of a Production Language Model.

Report on NSF Workshop on Science of Safe AI Stealing Part of a Production Language Model

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.167408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.167408Z digest=sha256:bb1226ab382a95607ca197f824cf516c4a1d84dc22c50939916351a2ecc959f3

Observation cbc8bbcc-b4aa-4df2-8038-d384bcd80695 · outbound

This paper cites Chaudhuri, K.

Report on NSF Workshop on Science of Safe AI Chaudhuri, K

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.296555Z

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=2026-08-06T23:01:43.169964Z digest=sha256:9aefcc3dd7fc70d0a35e726108b88cf8e1fac3773d6aeac024bba9191fd182ee

Observation f429a656-02b3-4290-ac26-9fb1f3fdf92c · outbound

This paper cites AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases.

Report on NSF Workshop on Science of Safe AI AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.172473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.172473Z digest=sha256:51400f80a72e230db9fb0aaaca51952a033a3d20caebe0628ed95c6eee35d485

Observation 20570561-41fe-446a-a647-51ea506d3a0f · outbound

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

Report on NSF Workshop on Science of Safe AI Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.174843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.174843Z digest=sha256:6ab814404cf5e6d9cef51880a7b4f59837d15c573ce8cfa8a9c34d39aa117a0e

Observation ab3909a1-5502-47af-94c6-ee50a360562b · outbound

This paper cites Data Poisoning for In-context Learning.

Report on NSF Workshop on Science of Safe AI Data Poisoning for In-context Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.177353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.177353Z digest=sha256:748833f1dc3e8bba65a68b0d8fd0da5425193c0a9482258e2a91b55ce4d510db

Observation aa452f33-0761-4f14-9a6a-954fba6fd073 · outbound

This paper cites Certified Robustness to Adversarial Word Substitutions.

Report on NSF Workshop on Science of Safe AI Certified Robustness to Adversarial Word Substitutions

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:01:43.241354Z

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=2026-08-06T23:01:43.179769Z digest=sha256:d485e1c8f44a627ecfbc07d9dfc0105b320ca75900d4eba10e12074e357953da

Observation 5a1638dd-4097-48aa-abcf-da89334de86d · outbound

This paper cites an unresolved cited work.

Report on NSF Workshop on Science of Safe AI Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:01:43.290412Z

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=2026-08-06T23:01:43.182121Z digest=sha256:5de71118b255ebd870018d1321e9a60176c573137e2f08f259c206a24aca3721

Observation 0ed3b715-5beb-470b-b00a-f26ac2a154de · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Report on NSF Workshop on Science of Safe AI HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.184050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.184050Z digest=sha256:4d9fab0c163b34ebe09bbb7ca49279c058afd8895cce6074e1582134bde33c9a

Observation f01816bf-b602-4e67-9147-843aa854e3e5 · outbound

This paper cites Mitra, C.

Report on NSF Workshop on Science of Safe AI Mitra, C

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.283392Z

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=2026-08-06T23:01:43.186022Z digest=sha256:1d2172a5e637a92744bda17ef81f3c87bf02369549d57b39e9a0d50035c67aa6

Observation fc899506-3af0-4496-93d5-c9a96ccdab7c · outbound

This paper cites Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks.

Report on NSF Workshop on Science of Safe AI Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.187959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.187959Z digest=sha256:49b058ea27dd215233d7f3135fc5d6a52a554f56872e475a236514eee96c23da

Observation 3c4cf887-2def-4bb0-8320-be5b107794a0 · outbound

This paper cites an unresolved cited work.

Report on NSF Workshop on Science of Safe AI Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:01:43.276945Z

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=2026-08-06T23:01:43.190132Z digest=sha256:19cd81320e92952dd7d7f10c63b4cf84a914637f0fac3cd623e0ac825cff645e

Observation 7772e388-6ea1-4d8e-884c-0650a70f81f1 · outbound

This paper cites Sheshadri, A.

Report on NSF Workshop on Science of Safe AI Sheshadri, A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.270639Z

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=2026-08-06T23:01:43.191918Z digest=sha256:42cb3fa9468c8b6670fe3a5bc796400b68ec29004adfc5e6fb045b4ef243d21f

Observation 96e2bd2b-d6c5-46b9-9f9d-6af4b1dbf148 · outbound

This paper cites Efficient Adversarial Training in LLMs with Continuous Attacks.

Report on NSF Workshop on Science of Safe AI Efficient Adversarial Training in LLMs with Continuous Attacks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.193726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.193726Z digest=sha256:2237dec98a3577323699cff9f556c44bfb0addda8f55dcc276ed4319db4a0c22

Observation de3ee893-d091-4e89-bae7-5c0886727f63 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Report on NSF Workshop on Science of Safe AI Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:43.195787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:43.195787Z digest=sha256:49efa36f8c869485e7e4be84040ce0c91af861344162ddfa2351497f8d4cfa25

Pith citing papers

No inbound Pith citation observations are available.