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Paper Citation Record · LEDGER

Measuring Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.05129.

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

pith.paper-citation-record.v1
2212.05129 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:46:20.635199Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dbc6fe1b-f272-4985-8595-87c84224bc2f · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Measuring Data

Reference 256

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:33:00.043822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:4aaa4d7fa6104c7c0931bc186e28e7dd4f9014d15f84c7efdec755a1aa63f54f

Observation 5bc978b2-c081-4760-a448-9185af02ba53 · inbound

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? cites this paper.

Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We? Measuring Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T11:46:20.635199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:46:20.635199Z digest=sha256:1798aab2bc3adc4cf6c8f30888fb419a86d867b647e116519ba1ca732f2daddb

Observation bc9c877b-24cf-47fa-8fd6-78006f1d42ff · 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 Measuring Data

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:07.337493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:07.337493Z digest=sha256:9acee40bd2d58f7093ce5bbbc0b36a2a3d1021fcaf0bf481093ef68ff17c3f3f

Observation a6c2b247-cbb3-4b69-87d3-b74943cc96d3 · inbound

Research Community Perspectives on "Intelligence" and Large Language Models cites this paper.

Research Community Perspectives on "Intelligence" and Large Language Models Measuring Data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:48:35.847262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:48:35.847262Z digest=sha256:00045e5b7ed2c01cf22fe0e861293e4ce6d06f6866c0584ec6107b28a920bd73

Observation e828a689-abe2-4c04-be11-d282330335b5 · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models Measuring Data

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:37:10.026211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T02:33:56.023070Z digest=sha256:11af3ad7efec7d193439db87ced41856a7e3257dcba9baf13fb0976b17d46b45

Observation bafc18c4-e42f-48ae-883f-ef8e8c2e0a9a · inbound

A Multimodal Dataset for Large Language Model Applications in the Energy Domain cites this paper.

A Multimodal Dataset for Large Language Model Applications in the Energy Domain Measuring Data

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-14T05:27:26.535257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:27:26.535257Z digest=sha256:247bd0c85ce728a3888cc0e6107481e8f3c8b3fd69a4e61e981d76d8dc07b8da