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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation 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 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:39:46.649002Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.438293Z digest=sha256:7b9b41d00b44e40440b091283a986de50f57acbea9847d38fbbf1f4f108dcb74

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:af6099a93cf7a9d896d0c75d8f86eefdaf5b58113c6ac55af1cf6f30f73ff06e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.445100Z digest=sha256:e4ca614eeca9eae4e7446ce6f4f5db9a4eb3dffe9ea1d8672cb5f40984afbf94

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:e2b23b1e4aa474b29c8dd6d744ef3b7d73bb2e5b5e1e7f5721e1730206ce3eb2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.451307Z digest=sha256:f9044552f3da7fc7e75dbf446958dcf9630ab16314aa3028719694ff8b2aed6c

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:a68e31874cf22a3fed0061a476f27dadf231364b5e7e754a99b859453b75236b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.457495Z digest=sha256:1b257baf026825ada45fb4d14feacc8a21c51164f687ee213a31d025043240ce

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=sha256:3fc5d6f8754437fa4210a61f6364c6956660d2d3d01e679034185b2383bfeb40

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=sha256:220952d497c0a75166343c2a20b5c3f9d6e075c9c59d17c727449a443554deb0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.467536Z digest=sha256:77e49dfb13ae7a3e1506577668e7149397f762b914a6a684dbc5f077127a9828

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.471209Z digest=sha256:687c858c2ccee562e487abd065004a6dc2ef5bb43a589a990c85938f6c6c62be

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.473790Z digest=sha256:1cffa37d7ed7ae965b7864214ece57c3a15f2688e348f812f6e8df7a08d07e8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.476525Z digest=sha256:6da52117b629df662c4ac8215b591e558ae668e5209f8f9ed952153064353cf4

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:cc505912c6c113a6bc7acd761f9a3d6611948cf3ae4b76d75d1eabd5641039d9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.481837Z digest=sha256:28f9bb54bc4ed89432ab01af315fa2411eae4a7ed68f3c4d99d413666de1ee02

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=sha256:92e3c82d523b07d005b68fddcae1a179b02ca1595c7c3bfbdfa1e234e1f65a9a

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:c48ca610aa2a0d0658a536f235d3bac738f3320be8cbad61fa392197489bb654

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:d2f0a76b1a9745e7fd4529d56dc4032c055b173389720802486bcc85d88e1e42

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.494142Z digest=sha256:b8f977ca36e74d16e16a1f3bc2554b0dc82a7af332c72cff02dc340c4b4984e1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.497389Z digest=sha256:8a5bb564fdb7203980b84717a2e4ad06ce7fc6ecc4a44dc5d45130f96d555c16

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.500736Z digest=sha256:6bd87bc25dfe78e64efc277be6a4c32416f430e6ea834fee04bb5060ed4c5e25

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:36:43.503940Z digest=sha256:6560ffd69c51617e4a46763fff860ce4038bbbe86b682e80a3fa96bf314c1c69

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:39:46.649002Z digest=sha256:fe6554e5cedeeee72c83a9677f55878399f4d3ffbd3fc96330d1440e2aeb6205