Pith. sign in

Paper Citation Record · LEDGER

FaaS and Furious: abstractions and differential caching for efficient data pre-processing

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.08203.

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

pith.paper-citation-record.v1
2411.08203 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:55:49.404361Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact3
  • verified fuzzy12
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43dcd1ab-63c4-4e9f-8bda-4051f87a5161 · outbound

This paper cites Global big data & analytics market by compo- nent,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Global big data & analytics market by compo- nent,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-12T21:55:49.873225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.286189Z digest=sha256:8732d4453cb52f9b66102c23a34a7a15fb9ef414973f6c8dd93ab0796d59e5f8

Observation d13757e5-5709-4396-bfa3-42b60d5c4d2c · outbound

This paper cites “everyone wants to do the model work, not the data work.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing “everyone wants to do the model work, not the data work

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.161671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.292482Z digest=sha256:ec1e64a4701fc78d204bea7cf43e7b62a405c82188977ed3e39e04350280c9f4

Observation c6941102-4624-4c18-84ed-a92f7c35fd45 · outbound

This paper cites Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.139921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.303361Z digest=sha256:4b2d0cb30963f8cfa3a09727b8cdd2ffbb8d52e5116a5541d5e2000419bb9224

Observation 5af063d1-43fc-4ba7-ae81-28d14dec90cd · outbound

This paper cites Towards scalable dataframe systems,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Towards scalable dataframe systems,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.308779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.308779Z digest=sha256:a8100eb8d47b4248c667b2dcae19b80ebd02494054511ec8e76bfe88bbabf587

Observation 99f7b894-7191-4c83-a9b2-e75e72916777 · outbound

This paper cites Operationalizing Machine Learning: An Interview Study.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Operationalizing Machine Learning: An Interview Study

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.315368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.315368Z digest=sha256:57455c3d30f730ccfc550590983fd7061fc30388994513ebfdb72444e59f635e

Observation 39d63e92-4d4f-42df-bda7-47ef18ad6118 · outbound

This paper cites Reasonable Scale Machine Learning with Open-Source Metaflow.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Reasonable Scale Machine Learning with Open-Source Metaflow

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:55:49.642527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.321287Z digest=sha256:358328b53979fa7156cdc8d5c29b14680500e1e3e909cefcb077816b149f3331

Observation b2d9fd59-6311-4c76-8668-978247122854 · outbound

This paper cites Global data pipeline tools market by compo- nent,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Global data pipeline tools market by compo- nent,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.122226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.327219Z digest=sha256:dd80debad6d6b62985f5c491879922ff5f08d082f3cd0ed0f13054a329045bde

Observation 25b004ff-52a3-4fb4-af9d-0949471b06d8 · outbound

This paper cites Airflow,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Airflow,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.102662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.331979Z digest=sha256:0910e8ac6706482a24c75e0bbf99cf091f0fd89e9ceeb2ed1da2bd218fc09744

Observation 0a149d03-895d-48d5-95b2-f21c4b762f53 · outbound

This paper cites an unresolved cited work.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:55:50.083888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.336963Z digest=sha256:00d67874645aa67e555bbbb47c050c0a612c9bba90a92cc17b114a13506be88d

Observation 701cf59f-35e2-4788-8d57-a62a612cef03 · outbound

This paper cites Parquet,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Parquet,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.064458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.342151Z digest=sha256:5b0257ec1d3d485dbcf3601291313296757b46facb8c80bf9e5dda75fd5c7a6c

Observation a002e4d8-0344-489b-9d8c-aa9911f012e4 · outbound

This paper cites Iceberg,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Iceberg,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.046575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.347595Z digest=sha256:27ee8f3c289bcc082fd06bce2f637c0758dd413c72f4ae60e74f3022d4000f16

Observation b4a2cd2b-bb9c-47e2-9b95-62d2f3b4bcf2 · outbound

This paper cites Reproducible data science over data lakes: replayable data pipelines with bauplan and nessie,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Reproducible data science over data lakes: replayable data pipelines with bauplan and nessie,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.352708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.352708Z digest=sha256:a05dd8bf8ed4304014458b9eb5d1ba4675f9d8d10b62dbcf9df5449406bfbaae

Observation b7666284-ed82-4581-90f4-229e524d4c6e · outbound

This paper cites Building a serverless Data Lakehouse from spare parts.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Building a serverless Data Lakehouse from spare parts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.358078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.358078Z digest=sha256:a73e10d10d296b4642a8ac337b53bb5f82b1836a272c91b5ae8089ac3526343a

Observation de691d0e-2857-4f89-bbf4-7e710c520fe2 · outbound

This paper cites Build end-to-end machine learning workflows with amazon sagemaker and apache airflow,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Build end-to-end machine learning workflows with amazon sagemaker and apache airflow,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:50.025511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.364077Z digest=sha256:130480efaa56b97982654421d2ea271cd7fb1d51751f4863724710077feb73cf

Observation f59e4f01-7817-4bba-ad13-f1a2874ff2df · outbound

This paper cites an unresolved cited work.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:55:50.000783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.369145Z digest=sha256:e82ca3881028af04cd68f99970dd4396529ce266cab9b869cf33b61d26d9fcb0

Observation 15551153-ab53-4f39-847c-da00311d0db1 · outbound

This paper cites Predicate caching: Query-driven secondary indexing for cloud data warehouses,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Predicate caching: Query-driven secondary indexing for cloud data warehouses,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.373994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.373994Z digest=sha256:9d0b36972d34fdcab3084ccc40e365bb6f7dc6dc5c13726f2420032148008885

Observation 78b2363e-db65-44ff-8a89-286e2655a6b7 · outbound

This paper cites How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:55:49.451399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.378829Z digest=sha256:ab07bae52afa5bda14c6993dbfc2456472b66f2510acea8a731754977a89a7ab

Observation 41f5b660-1338-4172-adf3-4a52579c9cf0 · outbound

This paper cites Why tpc is not enough: An analysis of the amazon redshift fleet,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Why tpc is not enough: An analysis of the amazon redshift fleet,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:49.976739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.383908Z digest=sha256:1dee0b2928d4594c9808fb1d9a77c9c663589197f5e78711917706f6788c7005

Observation fa58435e-7702-4279-b26a-3fa8793932c7 · outbound

This paper cites dbt-core,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing dbt-core,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:49.956307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.389152Z digest=sha256:e66093a912c298e456aeaca5d05d6e8620ebdefbc5ee82d144ca506690688ea9

Observation bb82439b-fab4-4354-8986-a840bb54ef52 · outbound

This paper cites Semantic data caching and replacement,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Semantic data caching and replacement,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:49.938813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.394154Z digest=sha256:27216655b052e175814a42c892ed6c1aaf0af67204a583cc86f030730f6085e3

Observation f5d827e0-70d3-4323-8a3c-2185347268c9 · outbound

This paper cites Data caching for Enterprise-Grade Petabyte-Scale OLAP,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Data caching for Enterprise-Grade Petabyte-Scale OLAP,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:49.918897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.399306Z digest=sha256:27d4f02bb64600ab236a4134d3ae297850139064bd15dfae5599279686b68f9d

Observation 495155e6-77a1-4ec6-b23a-d720e8463bf6 · outbound

This paper cites Differential storage: A key building block for a duckdb-based data warehouse,.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Differential storage: A key building block for a duckdb-based data warehouse,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:55:49.893008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:55:49.404361Z digest=sha256:26250c7a2a952c3d664aec3d7149976b24bc2693f6f2c0837513bb5cdd18636d

Observation 3a8c800b-d72e-4984-aebf-730145939e59 · outbound

This paper cites Available: https://doi.org/10.1145/3411764.3445518.

FaaS and Furious: abstractions and differential caching for efficient data pre-processing Available: https://doi.org/10.1145/3411764.3445518

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T21:55:49.297762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:55:49.297762Z digest=sha256:7065106f634bc23a667192473291cb6b837ad3af1e2d43f2f198b94a250d0f97

Pith citing papers

No inbound Pith citation observations are available.