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Paper Citation Record · LEDGER

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.05778.

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

pith.paper-citation-record.v1
2401.05778 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:45.198731Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6168502d-703b-4eb4-8156-806726f466de · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 154

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:55:50.258241Z

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=2026-05-23T21:54:26.670284Z digest=sha256:6426864765fc1a3bdabf01745997defbd81a8ebd96235034196f318e11e1eb21

Observation 2c0863e1-7341-483d-96ec-16eadb90927c · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:45.198731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:45.198731Z digest=sha256:ded8adae2dbdf23efd900dd3115fc15d6e868f93aa8539db02863d120c6fc762

Observation d3ba34f9-1c35-4e95-95e9-11a2a237e2f3 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:42.856490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.856490Z digest=sha256:7cb20cb9494936e5741f8309094168a9e417fb1547757214c03e457714ec31c4

Observation af4a98e7-6668-4f85-84a0-ea3f6e4eac1f · inbound

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use cites this paper.

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T00:00:31.185409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:00:31.185409Z digest=sha256:c04a60e3619345c1907968c13655ed687df42aa5ac391577bad798dc76e67cf2

Observation 1555aad5-4680-4977-b859-51c2baa6606c · inbound

YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models cites this paper.

YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T19:55:56.464199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:55:56.464199Z digest=sha256:237ac16fc68ec44e85f2e806fe31686c0acbc37d620807aebb7750f727b2c7e9

Observation c71181eb-ac41-4ead-8a72-c1240bbf01f6 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:15.903000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:15.903000Z digest=sha256:9fc850b67df3e0070d059cad89c303170082ad44ed47555e788f2e7fa7b022aa

Observation 4cf148f4-51e3-42b0-b3f8-7a3bad67018b · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.522746Z

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=2026-05-17T00:29:07.951709Z digest=sha256:a98639ea0cb69a581e3b883c3108ca059f630859d6dab486fe13431e2f7464f1

Observation f7d56a63-44af-43cc-80d3-ddc959003148 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:13.286477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:13.286477Z digest=sha256:01b6c21dc40e929f9b11ed0c0d4a26e7e88325a2ddbe8bf30f5d4ae0ac382dd6

Observation 9c0c8d93-c5f2-4c03-935f-ce44e1ab8c0c · inbound

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:51:42.778809Z

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=arxiv_source observed=2026-05-09T19:09:07.557773Z digest=sha256:0cc371bb8413816d5d4a314592379c4a3c8b9f7b85b1926b0d84c7c543dcb076

Observation 819939ce-e29d-41f4-91ea-b3c4318f3f83 · inbound

SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation cites this paper.

SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:43:59.720008Z

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=2026-06-29T21:35:42.507720Z digest=sha256:6d97c04c2a9015165f6f384b66149cc8d98b1f14a36b7b79d2146e659558f81b

Observation 3683ed4f-99cf-4f49-aa66-0cdd8dfcce82 · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-26T04:38:59.234634Z

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=2026-06-26T04:35:51.583460Z digest=sha256:c695c0f2a976abd092ff6225a13a37d9f91cf307d208b9c0f20c0cb8c1f1b41f