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Paper Citation Record · LEDGER

Accountability of AI Under the Law: The Role of Explanation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1711.01134.

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

pith.paper-citation-record.v1
1711.01134 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:11.135904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T19:06:09.253520Z

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 5df828c6-1921-4e5b-a5f5-dabb7c840f0b · inbound

Quantifying Transparency of Machine Learning Systems through Analysis of Contributions cites this paper.

Quantifying Transparency of Machine Learning Systems through Analysis of Contributions Accountability of AI Under the Law: The Role of Explanation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-25T01:16:31.752038Z

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=2026-05-25T01:15:32.266183Z digest=sha256:0641ae43f02b9b7aa00d1bf4606bec05b2b74a7020ef8989d626b0f7f1dc3b64

Observation 1e16846e-164c-4f47-85f1-0c4874206ad8 · inbound

Unexplainability and Incomprehensibility of Artificial Intelligence cites this paper.

Unexplainability and Incomprehensibility of Artificial Intelligence Accountability of AI Under the Law: The Role of Explanation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T19:06:09.257515Z

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=2026-05-25T19:01:26.332194Z digest=sha256:61c5ffaae0717f7dcea31aa43dcb116de02adf99d85579dc6aa64563be45486c

Observation e67ac1fe-e122-4f2a-bcdb-f818cd8f996f · inbound

Statistical Hypothesis Testing for Auditing Robustness in Language Models cites this paper.

Statistical Hypothesis Testing for Auditing Robustness in Language Models Accountability of AI Under the Law: The Role of Explanation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:11.135904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:11.135904Z digest=sha256:3cad993a5088ca461e9ac0e6e6ba73816e108f9d629e9650cffa47c98d5dd748

Observation ab8d292d-85df-4dab-b220-0a80c32b2ea4 · inbound

Towards Transparent AI: A Survey on Explainable Large Language Models cites this paper.

Towards Transparent AI: A Survey on Explainable Large Language Models Accountability of AI Under the Law: The Role of Explanation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:37.991425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.991425Z digest=sha256:4cefb58f92fb06b3cde0dba5257094a846edf9d28e0770fc66d1e6c7a393c2ae

Observation 2d3f811b-393e-43d2-9c3a-c48d2bea28ce · inbound

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems cites this paper.

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems Accountability of AI Under the Law: The Role of Explanation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T10:18:07.042556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:18:07.042556Z digest=sha256:8cc80b72b9e8f66d3b02816775080e575dac729d2ee20d5d55d57222e1dbdd4f

Observation 51836ae3-d8bf-41e1-bb56-1f04d4e0bc38 · inbound

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems cites this paper.

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems Accountability of AI Under the Law: The Role of Explanation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T23:09:16.159473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:09:16.159473Z digest=sha256:3bb95c6a5129d45e47acf7aff7fc723ca1724d1400b1b8835883e1f0d89c347b

Observation 652ea0df-cbe8-46da-831b-c5f7e284cb7b · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Accountability of AI Under the Law: The Role of Explanation

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:21:34.156974Z

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=2026-05-07T17:15:43.429602Z digest=sha256:cef6b98618610981e2c46d8ed2861fd0203312cb0c03ab37f7cb1565ef03cd44

Observation d0b39501-2441-40f7-87e1-fa091858ec31 · inbound

Responsible Agentic AI Requires Explicit Provenance cites this paper.

Responsible Agentic AI Requires Explicit Provenance Accountability of AI Under the Law: The Role of Explanation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:13:21.318215Z

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=2026-05-20T14:09:17.469239Z digest=sha256:8c6eeef616f587bb8e33b738f7abd12f76fc4fcb9bf7d5cf2b5f3b8071308176

Observation fca9b335-89e4-430e-9df4-c3ecf40cc68e · inbound

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft cites this paper.

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft Accountability of AI Under the Law: The Role of Explanation

Reference 1147

Resolution
unresolved
no resolver link, observed 2026-08-01T15:21:08.097572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:21:08.097572Z digest=sha256:fec6d8e9af2ad2deb96ccbc75db915f2eb4f6f50798b810de8046f21b803a16c