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Paper Citation Record · LEDGER

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2407.01294.

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

pith.paper-citation-record.v1
2407.01294 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:34.857333Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b6498dfe-01a4-4634-8264-996152b6d865 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:34.857333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:34.857333Z digest=sha256:0d6b8e103607e715a85f28f8c4f2e36a9cc09bb2c54c9b2633c6082d3cdb731c

Observation 8503c80f-0aea-4faf-ac35-453729c25172 · inbound

Fairness in Federated Learning: Fairness for Whom? cites this paper.

Fairness in Federated Learning: Fairness for Whom? A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:12.005642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:12.005642Z digest=sha256:ce89941925348a1ac7234e1c00c073ff891ec24ab055333d11b3946df444368f

Observation edc53688-4577-488a-a3b8-37130737a195 · inbound

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents cites this paper.

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:12:22.181429Z

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=2026-05-19T14:11:50.109906Z digest=sha256:dca19a62ebeb15c278a86befcf897aae58db3b814d2b27d906e811ae15a13cbe

Observation 8689e69e-2100-49e1-8c2d-99bde84eb160 · inbound

Developing a Risk Identification Framework for Foundation Model Uses cites this paper.

Developing a Risk Identification Framework for Foundation Model Uses A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:57.401425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:57.401425Z digest=sha256:9e42aeea2b97c71f68538bdfd51572f04ff931dab5595cda406eccb5f5713cf7

Observation d50c68b9-6cc9-4b39-9378-85dd35bf2197 · inbound

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines cites this paper.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:00:53.983518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:00:53.983518Z digest=sha256:785b12d782dc2448d4e8c7c7ffe2639cd355b1a387d17bf3c8c0395dc39f58b5

Observation 8b466d42-e0a3-4ec7-859e-ceabf971d793 · inbound

What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use cites this paper.

What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T22:01:23.469443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:23.469443Z digest=sha256:980691bd1455994112c8c4e77f9839ff07077c8ffe0ebc9b86b6476741222bb9

Observation 5a683d4b-d5ac-4e3f-9032-3fa16f3640a6 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 229

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.602338Z

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=2026-05-17T00:29:07.951709Z digest=sha256:3970e3a25981097e601fa2d9f2f977fb04aed17689b5e760e30ed013c20f3acd

Observation e6d468ce-277a-475f-9885-bb7d49e6d1d5 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 229

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:31.855742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:31.855742Z digest=sha256:35ea9ada24e29a8dca10151d7f559e2e18e303873d7a5ab6be3450d68954a782

Observation c56114ee-8f69-4a45-a544-b95b2c6afd61 · inbound

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results cites this paper.

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:02.497687Z

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=2026-05-10T15:56:09.432702Z digest=sha256:49d53e8c8424a7278c3573b5434c4d866cd57c654244f3c33bc52d29f82e6f60

Observation 92ff54e8-2d2a-4cd9-b5e0-f6963ee76a7d · inbound

Human-Guided Harm Recovery for Computer Use Agents cites this paper.

Human-Guided Harm Recovery for Computer Use Agents A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T10:30:59.119043Z

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=2026-07-05T10:22:55.676716Z digest=sha256:6f1e43f395fbabf96071055a8bf47b6483a4f735a0bb3f873384c04d71c1ae69

Observation 6d609b45-5db4-4d3c-9b4c-cfd101df482c · inbound

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them cites this paper.

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:56:08.875365Z

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=2026-05-08T10:40:09.401251Z digest=sha256:202365b92de529854e419d4613fd21c581abb7cc1fe27336366528d64ee1d2fa

Observation 600a2c89-531c-463a-9271-12c770afcfa9 · inbound

Designing with Tensions: Older Adults' Emotional Support-Seeking Under System-Level Constraints in Conversational AI cites this paper.

Designing with Tensions: Older Adults' Emotional Support-Seeking Under System-Level Constraints in Conversational AI A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:51:08.930449Z

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=2026-05-08T07:53:45.450181Z digest=sha256:6f06c34eabcae6e23d39e1f57af4147c6fc1303b41ee562191ff937e5c841512

Observation d0817d9f-4bcc-44ae-946e-a0b96c36bb68 · inbound

Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback cites this paper.

Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:36:23.488108Z

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=2026-06-28T14:09:37.523725Z digest=sha256:cde2091728009a9669ed4b4ec734d7df5960db379459ee2b3f19c33eeed02f7d

Observation 9a61af40-8ee8-4501-93e8-db75de9c6556 · inbound

Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework cites this paper.

Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:43.549740Z

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=2026-07-02T07:01:33.586629Z digest=sha256:a8802154f7f5e44e9a2bca8dcf79bab0ad9f0ca244b5d0bbd52ad9bdec44dfb0

Observation 9fd5f9f0-2a7d-48a8-84f8-210124ff9d67 · inbound

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems cites this paper.

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T12:54:29.810487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:54:29.810487Z digest=sha256:a9b641bc1370543d8145ef88524d83bb11f5f2c09ab32f2abd4082120dc54002