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Paper Citation Record · LEDGER

Report on NSF Workshop on Science of Safe AI

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.162238Z digest=sha256:d472b5f23842c1994d0c42d5416ddab27fc20e5885adfbbafb0d51d7fa9d0ba7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.164890Z digest=sha256:7113081e7d86116ab346e6398624b7730b8b1bdb1d3cafc8bd57fc6496da0f50

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=sha256:55e4c5fdd3336985984f97f9a8a38c146e704b12c9f0357c5fbd9f756a43bf67

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.169964Z digest=sha256:a318b5e48c54c2d541cc0897bedeed4c82ff8ff8f30d3bdeaabb2fca0cb3f608

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=sha256:45411033771ae41dee04e360f630461e4b5ee7c04c5ccff30582ed7871d296f5

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:f1ad90dbe20c3941edb2c3133d5f70fec34596dbd29a57f856490c0f60d329bc

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:b1c241a8b1636e41530a3e81e8036c6284bb02dcbb41e1c9a563d32a06e0d557

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.179769Z digest=sha256:8a75ffa38d313f41065ee91d30ba568fa3c8b430efa9698ce4ebdc1127a03ef4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.182121Z digest=sha256:fb402b470c4f3c8a59f83467493cc1f0a6d6a16207b233bfc369cf2798a8175e

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=sha256:9739f1946963fee97330ef25054be3ed75c09fa4af2437ca91e28c6ecb606e53

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.186022Z digest=sha256:1a4a93244a54515f6ba539084fc12cfb85c61c499e80e962008effb2ce570c05

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:a93a51a806731a52830f9236fcb044414e151336c9e8479a06767f8be261146d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.190132Z digest=sha256:b338ccca8a872b9a03a3ac75fac54cd7eaa740c30ffb0f59a0636a17c600cc38

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:01:43.191918Z digest=sha256:8c790ea5519418dcd805e6e3fa438cfa0c18ad98d037127ba8fbb2acc7bb75c6

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=sha256:0b6b6040b6ba29be1f749766b06efc5d5d817b1bf895cff7b3e77be42c04e7d2

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:a2f0cd37ec9fb333972e26e7f2623b46f8d9d1c01c4c60d75b75f42d77b6b885

Pith citing papers

No inbound Pith citation observations are available.