Pith. sign in

Paper Citation Record · LEDGER

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2506.01789.

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

pith.paper-citation-record.v1
2506.01789 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:43.503940Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:46:08.832563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:42:30.662939Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 570ec6aa-8c4f-4309-967f-6055759f2da1 · outbound

This paper cites Akhtar, O.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Akhtar, O

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:36:43.961967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.438293Z digest=sha256:3fa088e3a8afdc91b085eacf53ffffac899ad37e940a2087de8f591164113221

Observation 90199c7f-2665-4981-b314-6dc5fbad52c5 · outbound

This paper cites Critique-out-Loud Reward Models.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Critique-out-Loud Reward Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.442054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.442054Z digest=sha256:742cf3a932ce2711046d5ddd2413c109a38a54996a639970891f569d624b3e75

Observation 6420eeb7-0349-4f49-ab31-7f668003d4f7 · outbound

This paper cites ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:36:43.836011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.445100Z digest=sha256:ed060677df399fdb4a2933e830a800791572103bdb1777a18c780cb2fb9f5ff9

Observation ab29a06f-b1cc-468a-a407-425e176199e0 · outbound

This paper cites Anugraha, Z.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Anugraha, Z

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.448147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.448147Z digest=sha256:305a09c92559f568c7d40a34680c732bfce88965955559c5c42317109dfa3324

Observation e302a4de-5348-4f60-b379-20c87c559256 · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:36:43.952833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.451307Z digest=sha256:e18353539b40067ab7f20787b4201f6d914962808a53fbd3c18b33e7c4589263

Observation eb5224c8-b613-4469-bafb-d397a7bdde8e · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.454127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.454127Z digest=sha256:358e2a3b8e3e60ec4d12658192318710c1a6fedadc1b8508b42e8d07048836b2

Observation f2766136-d29a-4b05-94c2-220017945141 · outbound

This paper cites Do Language Models Understand Honorific Systems in Javanese?.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Do Language Models Understand Honorific Systems in Javanese?

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:36:43.693071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.457495Z digest=sha256:f9233f75d88d710de099b3faea793c73f8eb6362be6f675eb10081194a2b9241

Observation cc86ab6a-ffe7-43c6-ba3a-46bdb3f65a49 · outbound

This paper cites Gebru, J.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Gebru, J

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.460551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.460551Z digest=sha256:6ed3304287d9a4dd28bb0c4a60f47f513fdf1562ada7a7ea117926e53c72a38a

Observation 1f13771a-cf7f-4ce4-8ae6-7975fcd0b76e · outbound

This paper cites The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.464057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.464057Z digest=sha256:9930fc3553855ffcecf953b32b2118bd2bce3ba6d186f7dacd8c0bc2e3fe4549

Observation 4fa330af-fcf8-4e0c-ac37-14fc382a8738 · outbound

This paper cites Hutchinson, A.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Hutchinson, A

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:36:43.936363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.467536Z digest=sha256:331c46763b40e621f5db923fcff3eac610bf5cf2da9e7fb77575fe8c0b02b9fc

Observation 3333eace-1ba3-4fac-b617-2d8a3307111a · outbound

This paper cites Mihalcea, O.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Mihalcea, O

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:36:43.925893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.471209Z digest=sha256:610128bd514b5cc84a3572d2353c56e8256ba57b3840a9f412082aa738ed0bcf

Observation fc24d7cf-715d-4903-afe7-b45bc0424108 · outbound

This paper cites Naous, M.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Naous, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:36:43.915797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.473790Z digest=sha256:e317f3bc2bf9d7b48acc0f867612b83f3a5ce98a6418d8345aa0852610f3c3c9

Observation cb2a1080-1eb2-45a8-bd95-9b0bc9665a58 · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:36:43.902534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.476525Z digest=sha256:c9110185b90c21856f2b4ff3a7d811a03ff4ceeed9b0ef4c2e6190f22c9abb22

Observation c405c252-383b-4bc1-b4cc-c1e7edc09bd1 · outbound

This paper cites Poznanski, J.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Poznanski, J

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.479034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.479034Z digest=sha256:9f428994c967e9a3596534c848bc4b116f47095ffa31dce0fe28fbb3bda878cf

Observation 5027a0d6-2930-4728-8a00-c5439ffea004 · outbound

This paper cites Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:36:43.561280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.481837Z digest=sha256:37a7658b92a7c157326a947236d6dd9dc343aeb25edc3ba88a1058c16f3527e6

Observation 3e1d9ded-0d97-46ea-9cbe-e0d406ce917c · outbound

This paper cites BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.484989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.484989Z digest=sha256:698bb964b0370f59c666bc43e530980b424a3c82e95e1c3648c6bc938ab0feb0

Observation ed98a991-b50a-4e68-8a49-35e227e58dba · outbound

This paper cites Shumailov, Z.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Shumailov, Z

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.487967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.487967Z digest=sha256:da9dd1fb518f07998449e29532ca8d596882998b26e8f37dac2555c5c2ea2819

Observation 58c320cb-e588-45ab-9200-645bacb67194 · outbound

This paper cites Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:43.491246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:43.491246Z digest=sha256:58efd0719c1a2c3b5e996fa4a4bccdaa0f11f8746b498dec1f97b48f1657a7dd

Observation b6780730-a576-4d63-a18f-193c17bf2fa1 · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:36:43.892631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.494142Z digest=sha256:75e9813e30461a47c3b804352e23c1c001016769ce5b411fad0472481698e535

Observation 77433ab0-9155-4008-85c8-6b99dd078f09 · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:36:43.883530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.497389Z digest=sha256:802977bb09e274cee7dcdb6f9739addd684a74bbc6d32a672eaf689944a0f387

Observation eb254ded-0dd3-4925-a52e-30a57b908eee · outbound

This paper cites an unresolved cited work.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:36:43.871654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.500736Z digest=sha256:052fb595f6baab328218d885e31beb3ac68d5eeb76d7e3b3528215b4bba8ecec

Observation d3248d3f-4aa0-4604-9afd-89ac660e429d · outbound

This paper cites name": "sources.

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability name": "sources

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:36:43.861711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:36:43.503940Z digest=sha256:5922a4133f71f315b69225bca1d91c08cf86b5ca1b87cffb74fbf6ca3d9128bc

Pith citing papers

Observation d61004f3-25e2-4a6f-9fcc-c68276088567 · inbound

Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling cites this paper.

Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:42:30.665917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T07:39:46.649002Z digest=sha256:cd671f64b1c8be727e3d6d029cd0d89d49704c664268ea03fd06488352fc5539

Observation f755bad9-c5f7-4fd5-aac2-ad53e0bfc3d9 · inbound

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora cites this paper.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T23:46:08.832563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:46:08.832563Z digest=sha256:a9f84f3404504eb8c26fb64648f50fa9040a3e0eed1fb5796af423abc1699224