Paper Citation Record · LEDGER

Can Foundation Models Wrangle Your Data?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:13.999289Z

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

verified exact0
verified fuzzy0
unresolved0
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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 98ae3737-33c3-4c1c-acb9-a09cb2ce5d7a · inbound

MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs cites this paper.

MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs Can Foundation Models Wrangle Your Data?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T18:53:58.667936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96cb925b-857e-43d3-9c2b-896ffc5d2e2f · inbound

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Can Foundation Models Wrangle Your Data?

Reference 242

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:41.065227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b127b10a-ac6d-4846-8f55-25336d39a4df · inbound

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models cites this paper.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Can Foundation Models Wrangle Your Data?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:46:17.606731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b20b16e-4b1b-4b6b-84d2-eeba8a108ed3 · inbound

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference cites this paper.

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference Can Foundation Models Wrangle Your Data?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T18:01:46.317445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c21db8-1754-463e-abd9-eb64f1f6be22 · inbound

AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding cites this paper.

AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding Can Foundation Models Wrangle Your Data?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:10.382847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17102f64-8a38-4b2c-84db-0e104188ba7a · inbound

SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices cites this paper.

SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices Can Foundation Models Wrangle Your Data?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:13.999289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-18T06:34:40.430872+00:00.

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.

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.

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.

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.

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.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.