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Paper Citation Record · LEDGER

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2310.16787.

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

pith.paper-citation-record.v1
2310.16787 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:55.568101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:24:21.241106Z

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 91d51327-1c0e-409d-ae1b-03ac6650be78 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 227

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:28:22.876167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:9f8d79a82ceb5f5d639d2bec22036d36ab1fc8b455d3686476e9e079e3285d50

Observation cbbe3f61-3796-455d-b5a7-c94ea904fc08 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:58:17.083809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:c97a69b0c842dfa0460b281b489200c31b5fa499943bbb2a221fc67d7f56bac8

Observation f4de148a-cca3-4bc2-9064-0ae4a797a7fa · inbound

Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages cites this paper.

Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T04:53:50.499619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:53:50.499619Z digest=sha256:012a450787ed39ae3df0f1aa488278295a6efd3d9d7d97c59efa7a247a4c3b03

Observation f691ea6f-ead1-4434-93a2-349a6dcdb8c1 · inbound

The Reality of AI and Biorisk cites this paper.

The Reality of AI and Biorisk The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T00:05:29.711347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:05:29.711347Z digest=sha256:d45fb463ec777827147d3e80d810c28734db38969b1bebac2bcba4dbd383d30a

Observation de4377c2-04d1-4851-9592-79f4f73544a5 · inbound

Bridging the Data Provenance Gap Across Text, Speech and Video cites this paper.

Bridging the Data Provenance Gap Across Text, Speech and Video The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-11T12:18:39.972772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:39.972772Z digest=sha256:35c08b23be09400c0d054721a1353da3bfc29663144329a739892cf8ae2a4030

Observation d089c17e-b6a7-4e0c-8c0d-be629f6ccc90 · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:37.779199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T06:00:56.578343Z digest=sha256:1cf8f5e47d790a8d2db067af0f280486795cafb572964b161e64eab0ac82dbce

Observation 3e057c20-0f21-4e07-b6ee-e3367cecabe9 · inbound

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models cites this paper.

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:26.343962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:26.343962Z digest=sha256:1daddfe52792913940c6ffa8986ec8ae08d0210ed78ee2f68a43a21e8659fc15

Observation 9a8ecbf0-7be1-4761-a061-b4a7a35012f0 · inbound

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot cites this paper.

Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T17:31:10.840694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:31:10.840694Z digest=sha256:eca66a7a3d6e4599d18a6ef6a06a0e605007ada362ab961b134a65bc3c197ee0

Observation 6f27abdb-1495-450a-a785-4be6f148d576 · inbound

The AI Agent Index cites this paper.

The AI Agent Index The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T14:48:35.336373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:48:35.336373Z digest=sha256:3e7b1edb197f5ecae94345eac40ab61ce4815a37a3b495e99c8e8f27620ff6d8

Observation e154c97d-984e-42f0-8346-614f0dff7161 · inbound

The Leaderboard Illusion cites this paper.

The Leaderboard Illusion The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T05:22:55.568101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:22:55.568101Z digest=sha256:9602aed5e79a7fe76a5e28b39e7e35332e04ae5a4edf50a8547031ec8ca0506f

Observation 309ce536-f813-46c6-a45b-3718fb8b9632 · inbound

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) cites this paper.

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:20.003082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:20.003082Z digest=sha256:af57c8160636d8b7f24ae9322db12dfab7b5c8a8c5c67e3c99e693603d310a97

Observation 9804f4bc-4908-4cd9-a53b-ad7b12d28c83 · inbound

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation cites this paper.

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:07.055550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:07.055550Z digest=sha256:850396327d187a0eff8733e1021b7d7bb786529cbf3b4f97217292738598f1ac

Observation 83d1bb78-5b5f-407a-81cd-9c9a17bc186b · inbound

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages cites this paper.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:26.333107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:56:26.333107Z digest=sha256:7c662289f8a6566fbee19e5c3999005b2f3fe3e6eed6c8c71b0bd321c839b26a

Observation e97b8dc7-6e66-42c0-8862-518781341d6e · inbound

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act cites this paper.

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:26.493402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:26.493402Z digest=sha256:17c5866aa3154d9297b1bcd0d59bf076ab2e51777a2de4b0a0a81e378d257329

Observation 3784dd4a-7149-464b-b05b-c27380ae4555 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:15.928637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:15.928637Z digest=sha256:57b90200ec35a6ccad48bc1d086454de4affa81e80c4ad0ba6aa3bb8a4c64a2b

Observation 24652b06-c21f-4849-90b4-1714d52eaafb · inbound

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino cites this paper.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T04:34:13.772914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:34:13.772914Z digest=sha256:87dcd5054ae29fb7ccab4748f3b74c6c1c0208204c5ee297a8dceaaeb03905a4

Observation 3530e27b-0f4d-4c11-b2bb-b6a23b2babc6 · inbound

The ATOM Report: Measuring the Open Language Model Ecosystem cites this paper.

The ATOM Report: Measuring the Open Language Model Ecosystem The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:36:01.873583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:28.605163Z digest=sha256:e963dcb57b12881ef626c7e2ad4ea9490172d28e98544e8dae6b7f716ca54785

Observation a48dbad9-1314-49c0-8fb8-19d4b8fafb17 · inbound

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation cites this paper.

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:24:21.242447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T07:21:46.599943Z digest=sha256:2ada8f58d49dcf3de50229968347f251e64bf7520564d494c677ab767e3f9afb

Observation 10d740cf-1327-4572-b8a4-416925bd5f28 · inbound

Domain-Aware Scaling Laws Uncover Data Synergy cites this paper.

Domain-Aware Scaling Laws Uncover Data Synergy The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T07:24:27.255815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:24:27.255815Z digest=sha256:357a1b67b85c7575b6c6ac8873baf1545e91ddebb1f8fde74ee3c34cad35476e