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Paper Citation Record · LEDGER

Characterizing AI Agents for Alignment and Governance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2504.21848.

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

pith.paper-citation-record.v1
2504.21848 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:38.876937Z

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

1
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 e467e8e9-b517-461d-8963-b03cf32d5bde · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Characterizing AI Agents for Alignment and Governance

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:38.876937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:38.876937Z digest=sha256:bd65f9ed1b47f2e28775364a44864f41f1f0b2d160b26d2fa2279d9ace723cdb

Observation 1c312d15-7b96-4800-a0e9-9e46a94bd7ae · inbound

Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution cites this paper.

Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution Characterizing AI Agents for Alignment and Governance

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:59:23.583657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:23.583657Z digest=sha256:292bb69b298d18f2eef6ab8d50603925ce29fcecd63fe12a67ce1a8f27d68c1d

Observation 2889135a-698b-4c36-a5d2-baa5ef4571ae · inbound

Embodied AI: Emerging Risks and Opportunities for Policy Action cites this paper.

Embodied AI: Emerging Risks and Opportunities for Policy Action Characterizing AI Agents for Alignment and Governance

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T14:37:25.376031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:37:25.376031Z digest=sha256:54892904d0a2f2aec936c0a7019735e99a0f9d0c356d5b1739145d6bd90a6e13

Observation 377e2289-1f7a-44c4-a646-8ec145083850 · inbound

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents cites this paper.

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents Characterizing AI Agents for Alignment and Governance

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:11:13.844654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:09:47.433345Z digest=sha256:a1324b30ad6a9148d7e587c7376777fee71d3625c4467e11c933bdf45c194fcf

Observation 06543afd-513f-421d-854c-811639a09236 · inbound

Agentic Inequality cites this paper.

Agentic Inequality Characterizing AI Agents for Alignment and Governance

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:15:58.007883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T06:15:12.105326Z digest=sha256:890fa728fc84a41474d5fd042aebc839fc0a652b5909fcbc080fd437798912a1

Observation 0f9fafe7-1485-4deb-ae42-134298a1879a · inbound

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems Characterizing AI Agents for Alignment and Governance

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.567855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:4e62dd090d46f3cb2c09bc5ab567b95b7fe67fd4d54a7b15f6d32f9e1178bb07

Observation 394d0150-674e-49bf-9e4e-691e466e67b4 · inbound

The End of Human Judgment in the Kill Chain? Relocating Initiative and Interpretation with Agentic AI cites this paper.

The End of Human Judgment in the Kill Chain? Relocating Initiative and Interpretation with Agentic AI Characterizing AI Agents for Alignment and Governance

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T18:25:42.595630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:23:04.237567Z digest=sha256:4539f6aa6bce1e6300ab4486e184bc10c59f5c8dee183188b6a42d4e48af49a3

Observation 9ca868f2-babf-4a75-b54b-0a9d60b6004c · inbound

A pragmatic approach to regulating AI agents cites this paper.

A pragmatic approach to regulating AI agents Characterizing AI Agents for Alignment and Governance

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:04:06.867145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T10:00:09.382458Z digest=sha256:cf6e4c6fc4ba5464b2e6c3f0b8be15c977d274d1e5e827c43e1493407effd6cc

Observation be6e767c-aecc-4bd8-b00a-851497538fc5 · inbound

Intelligence Impact Quotient (IIQ): A Framework for Measuring Organizational AI Impact cites this paper.

Intelligence Impact Quotient (IIQ): A Framework for Measuring Organizational AI Impact Characterizing AI Agents for Alignment and Governance

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:48:28.645460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T01:46:06.772072Z digest=sha256:19e4f3480c123747481b14cef66f40d7ad79eed7ebf48b633ec03f1da66e6340

Observation 208e4a67-6107-4a6e-93a0-0a45770b109c · inbound

Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named cites this paper.

Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named Characterizing AI Agents for Alignment and Governance

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-05T07:40:47.615698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T07:32:42.676066Z digest=sha256:d992bf25810891a97eaefbf65c9707bfb686f80342a3e06fef8674ce1a377ca1

Observation 7847d847-8a43-43cb-8e33-c077440a82f3 · inbound

A Technical Typology of AI Systems in Public Administration cites this paper.

A Technical Typology of AI Systems in Public Administration Characterizing AI Agents for Alignment and Governance

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-01T02:45:17.214908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T02:44:10.129474Z digest=sha256:ddf9f2f46552399c31e85a2930f593f210738eb11d9dab247e7306b4bcb4a8f0

Observation 40f2ef3a-734f-400b-bb5b-51419e6da130 · inbound

Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives cites this paper.

Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives Characterizing AI Agents for Alignment and Governance

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T05:36:09.449050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T05:36:09.449050Z digest=sha256:30b0eb3c68919521c921df9df39b1e63560588c61efcada2013d2c39f1d8f85c