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Paper Citation Record · LEDGER

Characterizing AI Agents for Alignment and Governance

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:57:44.754618Z

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 48acef74-0e64-492e-a579-b5d78b652e43 · inbound

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work cites this paper.

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work Characterizing AI Agents for Alignment and Governance

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-12T20:57:44.754618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:57:44.754618Z digest=sha256:d5a009294cf27a6aa6d250d0624af633870dc2fe21d221a54fcc0c89103ffedc

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=sha256:6aadecab2af3ba7dad655f9eb451d4ffca9ccab52a7038300a6f469dc9f4bf50

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:bbbc3c4afeb638e68fba7d5c6592c879107f8234f1240c9c892680347927c313

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:ce6318111df86f4758403826cf657bac6c237c103d9f280a098a120ef112b6f9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T10:09:47.433345Z digest=sha256:a0641db44bd880e3be8ef73eae4fa2b89c6f10ce1acbdcdfbbdb54d7837b6c36

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T06:15:12.105326Z digest=sha256:8917b49af4b967617ed1b6d0f396c115e429b4eca66a08d7f8665b1c131d259c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:71601366bfee597484f293cfa80932cd67a9da9ef5447a300574c23395e727f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:23:04.237567Z digest=sha256:80ab1a24ce75b206e9ee1977991cb18cf51c848ac29aa26c43602cd207ea37e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T10:00:09.382458Z digest=sha256:a48c28ae0c09e7053c9a78a081349430ab2bb90397a6fef9ee802544be0b0d7a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T01:46:06.772072Z digest=sha256:3ab81c8d34225a5fbf88df2ff2b587bdfd993b80cadc1bddcf08f27ac80e6bac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:32:42.676066Z digest=sha256:2d61226b5a81666d7f46620e2f938acb6d5bc986c9a3cc27ab9e5a41d2ff78e5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T02:44:10.129474Z digest=sha256:a3c719bfea47fb92966be1b91165dc9a53004b9f4e7270c6b575f77e59ab3e6a

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:ae33da8cdeb868dda218e89131b5b44e018d5076052f61589efa588f66a7befc