Pith. sign in

Paper Citation Record · LEDGER

Will releasing the weights of future large language models grant widespread access to pandemic agents?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.18233.

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

pith.paper-citation-record.v1
2310.18233 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:21:19.167805Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:42.327521Z

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 6c810720-001a-4b55-89a8-08dd6f26444b · inbound

Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models cites this paper.

Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models Will releasing the weights of future large language models grant widespread access to pandemic agents?

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:13:42.849039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T01:09:43.590660Z digest=sha256:f1f409202ad34114edbd487c0737ed380b36ee163d0b60f01f8c7cdd327c5384

Observation 4be989f5-6a69-4353-a3ae-5fde75fdffd4 · inbound

Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models cites this paper.

Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models Will releasing the weights of future large language models grant widespread access to pandemic agents?

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T17:23:02.386267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:23:02.386267Z digest=sha256:3d3e9ea1cbfe6ccb67ecbacf5532db1611c7f41036cb77b5041b2c5b16f3d74f

Observation db6dd4e7-ed62-4e45-9684-f88c32225e1a · inbound

Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests cites this paper.

Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests Will releasing the weights of future large language models grant widespread access to pandemic agents?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T19:21:19.167805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:21:19.167805Z digest=sha256:97c64457bc61e96457b7ce8911883730feeaf3345bea0860cc50a42c7f8632eb

Observation 54d7ce2a-1443-445c-9c4f-6ee0990ab211 · inbound

Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types cites this paper.

Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types Will releasing the weights of future large language models grant widespread access to pandemic agents?

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:31:00.370094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:08:25.471462Z digest=sha256:b46af4580fac094e15a178ef95bf283de788d8c2bb8334995564840e03781ed9

Observation 1d742f8a-75d5-4cd7-b474-cc4cb5649109 · inbound

Investigating The Security of Modern AI and Cloud Infrastructure cites this paper.

Investigating The Security of Modern AI and Cloud Infrastructure Will releasing the weights of future large language models grant widespread access to pandemic agents?

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:29:42.328842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T11:31:39.910784Z digest=sha256:f34c204ddf13598c7f72ce1932412b5458278d0b75131cdc46596276a3b1fa84