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Paper Citation Record · LEDGER

Accountability of AI Under the Law: The Role of Explanation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.201047Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T01:15:32.266183Z digest=sha256:b05a5b2e4670d04d89c20d4f3bea3e4f6180b0adfc5ffb349421eb363aba17e8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T19:01:26.332194Z digest=sha256:df78946997151fe4d5ac939050a491d177d9c36e1a139ec5f3b63899e1b8b792

Observation 564a37fb-72b5-47e0-83e7-de50c612f2a3 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Accountability of AI Under the Law: The Role of Explanation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.201047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.201047Z digest=sha256:ab0663a50ff74250fe2c540ff99237d3631e513f9eed5c90877eb1a362712eef

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=sha256:8fc8e332c0b838c22dc037ecd1cad833a6826f5579a9dc481a0cce6505685f11

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=sha256:7b75c3ca718c040193e4e3ba32a262bae426f3ba3b38ff2a844fb70d288fa05b

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=sha256:82f4e30ce43dfd7d707db41b5eea41eda69d37c58aa43a667b380dab0a6159c2

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:cddfa61a6b7c1755ec6138532f3993345da7dfbc10ac618ce94005483c3072d2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:e7d67b27fada5063246297bcc3ccfcc8927539ac1b8420f2463c6b559dd57e68

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:09:17.469239Z digest=sha256:a17aaf9808961f53101eae850321e8b28b22d64a1105041047b408bc40f641df

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