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Paper Citation Record · LEDGER

Can Foundation Models Wrangle Your Data?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2205.09911.

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

pith.paper-citation-record.v1
2205.09911 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:55.839835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.311006Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 9e22239d-eafe-4547-a58d-db7455c0dc4b · inbound

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency cites this paper.

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency Can Foundation Models Wrangle Your Data?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:55.839835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:55.839835Z digest=sha256:6745a8172f5e50c73defe9dd71958dea11b98cc2c8f8e3df4fd3939aec798285

Observation a0634309-5d0d-47e6-9bfa-cbbd860d7a2c · inbound

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management cites this paper.

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management Can Foundation Models Wrangle Your Data?

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:58.730004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:58.730004Z digest=sha256:0a5e0bb609891f5e289e111737bc55100ad7061aaebe7ce59ce82bb8c7387065

Observation 207a5285-55aa-47e9-9ec3-25184066840d · inbound

LDI: Localized Data Imputation for Text-Rich Tables cites this paper.

LDI: Localized Data Imputation for Text-Rich Tables Can Foundation Models Wrangle Your Data?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:52:13.724251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T08:50:04.566504Z digest=sha256:074c7b677a3f054ddd115c86b3ebe300a3bf47aba1ff812cb739d58884f76e1e

Observation cd16ba64-9b73-4809-bde5-00e867214bd2 · inbound

A Generative Approach for Semantic Auditing of Electronic Health Records cites this paper.

A Generative Approach for Semantic Auditing of Electronic Health Records Can Foundation Models Wrangle Your Data?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:30:48.770164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:30:48.770164Z digest=sha256:0d8424544ff700a3b81f93beeb2cc2580b686cedb6386887b6fcfa3fe0a77ccf

Observation 0950b0bc-3c57-432c-b7c4-aebd74a793e5 · inbound

The Case for Instance-Optimized LLMs in OLAP Databases cites this paper.

The Case for Instance-Optimized LLMs in OLAP Databases Can Foundation Models Wrangle Your Data?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:30.637921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:30.637921Z digest=sha256:2d7f2e7a12a834669a171976090bffb20195da821553f3e6c03819eec696fc16

Observation e17c84d2-2683-422a-8c2a-3ef21df91bcb · inbound

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction cites this paper.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Can Foundation Models Wrangle Your Data?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:23:32.579117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:23:32.579117Z digest=sha256:5521c009eca769e24df8ae470f6bb033487e947e5fbfc4888ecb00657327c3c4

Observation 7d286897-3716-44c9-b71b-4ed6f7e5451a · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees Can Foundation Models Wrangle Your Data?

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:22.417611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:22.417611Z digest=sha256:ad2fc2cc98795b39c517fdef2a4a3ee3c38b233cc8f0ece6c8e84d3b752ce6b3

Observation 9d715321-0963-4a9b-a91d-d95f2e45458a · inbound

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection cites this paper.

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection Can Foundation Models Wrangle Your Data?

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T18:04:31.334887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:04:31.334887Z digest=sha256:73ba40b0284410ed4d7d60a4ee330a1c5d70987df955ff5757c03b1951c968b0

Observation 887e8ffd-7f93-45ca-b673-6024568ad8a4 · inbound

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference cites this paper.

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference Can Foundation Models Wrangle Your Data?

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:06:26.520020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T12:51:42.916410Z digest=sha256:9159bace5efb12cc13aa178f20b40d99163dc8da55c1b4009dd229ef657dd0bb

Observation 50d883d4-6cef-4fd5-a4ed-5e465a987f72 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Can Foundation Models Wrangle Your Data?

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.512631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:556736977f6b02048f40f5166050ac6478721c3984b79f6254554f1137a65980

Observation 9013a590-6ed2-492f-a6e8-da60211f4456 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Can Foundation Models Wrangle Your Data?

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.767087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:18:45.189576Z digest=sha256:f0d7373764471e0f55a8156eb1443a9ced464874f6ecf799331acc7a24ea2134

Observation 00da6c51-0529-4b96-b55c-edaad55d08f6 · inbound

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution cites this paper.

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution Can Foundation Models Wrangle Your Data?

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:59.205412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T21:29:46.707325Z digest=sha256:8c91cb7fe1729f5213a3fda9c11febe64751dab8063a723740ce182a08a7276f

Observation c962552e-8796-4141-8a65-f0b72504f63c · inbound

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning cites this paper.

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning Can Foundation Models Wrangle Your Data?

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:50:11.312695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T19:35:06.090910Z digest=sha256:15b4152a9f01d39a3937a4994958c0fab217e8fb8856e362d8feed6bdee77155

Observation 4a6b5419-5475-4fc7-b13c-e32f37d807d4 · inbound

Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage cites this paper.

Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage Can Foundation Models Wrangle Your Data?

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:34:18.872161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:31:19.781389Z digest=sha256:5f34ad61aee95be900fe1093630ddd1d5d404d4d2cfd1c7c8beb4f31a4a75780