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Paper Citation Record · LEDGER

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 11 inbound Pith citation observations for arXiv:2412.06724.

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

pith.paper-citation-record.v1
2412.06724 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:24:03.050815Z

measured 53 of 53 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.351087Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T09:06:06.142107Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact5
  • verified fuzzy1
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d3e9b29-45b8-4731-95ff-1db9d319642c · outbound

This paper cites online" 'onlinestring :=.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.899708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.899708Z digest=sha256:5a83278c54d087a643f24eef3357ed74e91f87d8f24bfd3b62dfcf1484dac739

Observation 9f2fae1c-74ae-40a4-bdc4-fa9721694ef2 · outbound

This paper cites write newline.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.904219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.904219Z digest=sha256:d9ab103392073fae3df671571e364d12daeb8f76e48d764fa08abcd8793e3435

Observation ac05d618-3570-42cd-a494-313e85680d9a · outbound

This paper cites LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.908071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.908071Z digest=sha256:59b60affea3cccc09507c262b58d7ff81e045123ed2fa2bded766ba7c4c4e403

Observation ba9f0200-ac75-4586-915f-16daf2a01840 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:04.069824Z

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=arxiv_source observed=2026-08-11T19:24:02.912727Z digest=sha256:f4e44e099c81542f865f9af69480faa56295a7b01cba0599f1cb0fd17bcafed7

Observation 86a3b2cd-235c-42d3-8116-a412a7f7cc9a · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.916279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.916279Z digest=sha256:7959719b3129a2a85af768b90f40e43fa8c194a70b97e74166b67132912534ab

Observation 2e424141-e3db-449c-b598-f3c81ab0dad0 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:04.057475Z

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=arxiv_source observed=2026-08-11T19:24:02.920300Z digest=sha256:12b688daacccb46b4dd890caa0dc0f698f36a093b1614091a936b9b7616714ec

Observation de555c54-28f0-4a11-be10-dc5c8cac9837 · outbound

This paper cites Binding Language Models in Symbolic Languages.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Binding Language Models in Symbolic Languages

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.924422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.924422Z digest=sha256:21d1bd22feb176520b392a65dc43bcb7e54f509c62e29c8b4d1befce6a454f5f

Observation 4094ac3f-ccb5-4e89-80bf-13d9a1fadc36 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:04.045056Z

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=arxiv_source observed=2026-08-11T19:24:02.928398Z digest=sha256:9fac053e0c408bb84ae813011e7ef27d183615b28efcba21b2d76dfe339c51f0

Observation f68cd9f9-9518-4cb6-be41-c326c63a0662 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:04.034292Z

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=arxiv_source observed=2026-08-11T19:24:02.932117Z digest=sha256:806873e5dccb3bedef16e37089af736b5d1ed4fe27966f3ce164b19a95ba4a13

Observation 3d8165e7-ed1e-47a3-95f9-6c81ee0b84ee · outbound

This paper cites The Llama 3 Herd of Models.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark The Llama 3 Herd of Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.935492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.935492Z digest=sha256:e1b90d5a8622963a95e42b6ffd6592ce22e19d3d1d71545a8260a52335a3cf1c

Observation 8f076514-9b13-4e8f-9375-fdedd06106d4 · outbound

This paper cites Eltabakh, Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mourad Ouzzani, and Nan Tang.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Eltabakh, Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mourad Ouzzani, and Nan Tang

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:24:04.023875Z

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=arxiv_source observed=2026-08-11T19:24:02.939453Z digest=sha256:5ea8daf5b8185543c3a655100ab37a0bcb58583782d75786aac963fbfca8cb0c

Observation 85808ad4-a686-4cca-9abe-191f35145f5a · outbound

This paper cites KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T19:24:03.139384Z

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=arxiv_source observed=2026-08-11T19:24:02.942906Z digest=sha256:39f38e09cc4d0bb17e80ccfab2b93113a40bc59d993849e2b13fd7fb00201e3b

Observation a2e0b2d0-3ef1-4a7a-924c-c6a55250f753 · outbound

This paper cites Better Synthetic Data by Retrieving and Transforming Existing Datasets.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.946668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.946668Z digest=sha256:abedd3f588e091c04d73c39ef07337dbcda7d9289dfa77d3026abad8076e6858

Observation c2a8e880-0f75-4aea-8479-175cdd31e9ff · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:04.011388Z

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=arxiv_source observed=2026-08-11T19:24:02.950602Z digest=sha256:aad4e8e98a1f36a56003ec7d6c6794b6e210fd6226b7fbdad434cd8d921aec9c

Observation dc2e8651-c5a1-484f-b877-a8bd4287786c · outbound

This paper cites Mistral 7B.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Mistral 7B

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.954349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.954349Z digest=sha256:d78718e135194859a4d0417d6191275e879550a7894c10a7bb7bbf45799547e6

Observation 9c9afa64-7dfb-4fd2-a6d6-8b95a2847378 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:02.958551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:02.958551Z digest=sha256:c31ec4e5a8660aab8919c75518655f966c7f663902efe6ffd76ed28debeb4f16

Observation c2956e7f-c6be-4d47-b963-a5861c2aa2ae · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.993080Z

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=arxiv_source observed=2026-08-11T19:24:02.962607Z digest=sha256:76d9d3458aedf5d915fef2a979c6a686f6f955393e8ce67ef69b7d4fa12196d8

Observation c4e20b9c-df8b-43b7-8ba0-9a6da27b858b · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 18

Resolution
verified exact
doi, observed 2026-08-11T19:24:03.111268Z

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=arxiv_source observed=2026-08-11T19:24:02.966183Z digest=sha256:b73de1e92f4a3ffa024e3c4a2610426f7c61dc1f818ad87a62aeb9e8f7a154b3

Observation a23d16dd-ffd2-484f-9365-19090fdd7b28 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.975192Z

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=arxiv_source observed=2026-08-11T19:24:02.969992Z digest=sha256:0cec029ea66d3557d18794b189ba415867c243ccfce5347c36b14aab47a4c99f

Observation ff855991-d885-4454-822f-ee001faf78e9 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.962792Z

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=arxiv_source observed=2026-08-11T19:24:02.973644Z digest=sha256:41f043b81ddc053853871e62db93964af1a4ce9bcf363e96ffb81c7c8d6426b3

Observation 3b324d4f-31ae-4249-a21f-9f4dd3a692c2 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.950890Z

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=arxiv_source observed=2026-08-11T19:24:02.977065Z digest=sha256:5d4bd048fbcd0488efc6d39e3df266b18a904a007fdc22fd1972d579309f05f1

Observation deeff390-9e5a-4ac2-ba0f-7d9aceff1c08 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 22

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-11T19:24:03.771261Z

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=arxiv_source observed=2026-08-11T19:24:02.980255Z digest=sha256:514ac4ac14e41987a57ce1c681e00323ed846678a787c49422449dc7ab44b1de

Observation 1d62386e-5dec-4c15-9b4a-18aa86a529c0 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.938473Z

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=arxiv_source observed=2026-08-11T19:24:02.983649Z digest=sha256:adffce42b647896813a8f8b8f37e138463650554113feca2796f2d1bec6657dd

Observation 92aa4c08-c90f-4dc1-9200-c8980350a8e9 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.927905Z

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=arxiv_source observed=2026-08-11T19:24:02.987284Z digest=sha256:89f97458cca56c2b8072543571ee18511847b848eaa9d6c3fad1e12b1021b413

Observation a921005e-ab7e-46cc-899b-0868e455415e · outbound

This paper cites Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:24:03.602981Z

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=arxiv_source observed=2026-08-11T19:24:02.991343Z digest=sha256:0f7a8987dc3be5a79c7f68b42a191d8242b887eaaebc897d84c87e4336a59bfa

Observation b80d7c1c-5bc8-4e28-9cbc-fd3a1b6251aa · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.917455Z

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=arxiv_source observed=2026-08-11T19:24:02.994873Z digest=sha256:335468e748c2eb4fd666ddc47d7712e554f761ac93ca0379a1daca03525a2146

Observation 695842e4-683a-4e43-a5b4-dee76ffd4aec · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.906745Z

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=arxiv_source observed=2026-08-11T19:24:02.998473Z digest=sha256:570036989a403cec378388f8a08634920f0e5c40be4fc1b7b5bd43a6de556303

Observation a0225fec-5f17-47e6-aa96-3ba7749cc7b0 · outbound

This paper cites Lee, and Richard Y.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Lee, and Richard Y

Reference 28

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-11T19:24:03.586632Z

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=arxiv_source observed=2026-08-11T19:24:03.002124Z digest=sha256:11e60675abb213626081e915215049ef3efad648c34a10ec5be4896d38b54320

Observation f50b0d58-c5f5-4f88-8e7c-644671a85c66 · outbound

This paper cites CleanAgent: Automating Data Standardization with LLM-based Agents.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark CleanAgent: Automating Data Standardization with LLM-based Agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.005429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.005429Z digest=sha256:0c38575c6f893c7f66694b014a2c7027d5319961db11e7f93bbba5e39121f1bc

Observation 8321aa7f-f8d8-4da6-9311-0f44c3d7dc77 · outbound

This paper cites HoloClean: Holistic Data Repairs with Probabilistic Inference.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark HoloClean: Holistic Data Repairs with Probabilistic Inference

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.008851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.008851Z digest=sha256:48be271df496ab463748b574f0d384accd77be84c8ce9e7021102a7ce07aaa64

Observation 638c42b8-3510-448c-88ce-fedde6e54bc7 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.895896Z

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=arxiv_source observed=2026-08-11T19:24:03.012208Z digest=sha256:696daabe467a340fb4c604d47717d818d3392b394fc1b75fbb742fe72938dd11

Observation ece63c6d-2c92-4fd3-9f22-1e483ccfde55 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Gemma 2: Improving Open Language Models at a Practical Size

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.015357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.015357Z digest=sha256:de52d5389564037a2bf139287f4069340c2e8fa71d60aee64a13a590b1a14d41

Observation 234f196e-ddce-4c4f-8a93-527ecb938711 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.883521Z

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=arxiv_source observed=2026-08-11T19:24:03.018653Z digest=sha256:a9f3bbb0e7bbd3cc86f88f85c2d5b36ff26def9610640bc34382027b7c1e0830

Observation cbaf170f-616b-4615-adf8-d1e637f12b4a · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.871345Z

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=arxiv_source observed=2026-08-11T19:24:03.022072Z digest=sha256:c716335c91cbeb89da4c41c975c81b4f11a5d773003992e6aa376c53763c076f

Observation 47315f49-086a-4491-a11e-17d246e8ebf4 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.858677Z

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=arxiv_source observed=2026-08-11T19:24:03.025212Z digest=sha256:3b6fcb8d9f57c94477a46458e1a9ab1b0f3de4608679fc24237e494c6373d9dc

Observation 55f58d29-721f-433d-8182-ebb62c39f2bf · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.848024Z

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=arxiv_source observed=2026-08-11T19:24:03.029769Z digest=sha256:d4f3d8e9ae92400e39c8cc1b2eecbf918ea8d1ee65ac3ba9835dd252a5bb2805

Observation 9d2d9ba0-cf39-46ba-940e-66035871167a · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.033747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.033747Z digest=sha256:a604e9d3bcb4f410ebefa273453e2f48bc37a419c8c8d06c3b6add38bed8de82

Observation 9a706449-5fa1-4356-9275-98747d08b7d7 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.837491Z

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=arxiv_source observed=2026-08-11T19:24:03.037108Z digest=sha256:eca2c131e082817dd960f28b2263fb0d951e21d861ec075d0c399a6a20b85a64

Observation d3e70e25-ad94-4c69-a5c8-aff80f9cc6a9 · outbound

This paper cites an unresolved cited work.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:24:03.825076Z

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=arxiv_source observed=2026-08-11T19:24:03.040269Z digest=sha256:f706156f25f5053ed999bbdccdaf2e1a6405a76f645ddfad867dbcf82d80c4bb

Observation 26ccb36a-f4fc-4579-9f11-77a168800639 · outbound

This paper cites Wang and Diane M.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Wang and Diane M

Reference 40

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-11T19:24:03.403580Z

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=arxiv_source observed=2026-08-11T19:24:03.043676Z digest=sha256:f4529d8aa8ab4b1854bf7c81abd0b61a5d8313a976216f1d2236ff8d1354d626

Observation c5b01593-f8c8-42a9-ae03-66d8debfc691 · outbound

This paper cites Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.047057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.047057Z digest=sha256:0a4cf8ecd900f0c0a57a7f0127628ee03479672860554c8dc4b822a4ba4e0173

Observation 8d329b5d-4e50-4269-afe3-6f160a761828 · outbound

This paper cites Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:03.050815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:24:03.050815Z digest=sha256:bd12e234a034fd6167fd9069cbfc7919fbec6725c7aa592b37c8cae36b29cd9c

Pith citing papers

Observation 03bd48d0-9c1c-4d18-8f53-c556c39f519b · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:37:22.065634Z

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=2026-05-23T01:36:25.057478Z digest=sha256:5567876f79637523aa77c029642c7f222d16b4ee711055993f3d1a19847a4d89

Observation 9dc64887-7725-4472-942a-8b8b5d439184 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 237

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.351087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.351087Z digest=sha256:cf66e5559a20ba17e0e29f809ca5320b7e1ac27266ff6cd469f6aefd4efc6473

Observation 318b8211-2ecb-463f-b9bf-8f1729860a59 · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:05:41.501087Z

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=2026-05-21T22:05:11.146329Z digest=sha256:d23489197955b6f57741fa8593638d7caff401496fdd865de079be9e4ab5a700

Observation 9d9529d6-b78a-4fa8-8512-b3d1ec81c0b8 · inbound

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

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.467954Z

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=2026-05-13T05:56:36.312877Z digest=sha256:e1217229374291c6782e3a42dffba155ebd0740b532183f85c4dc425aed0e6c2

Observation 2d3e578e-9c67-4409-9df5-ed58c4b9f938 · inbound

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

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.756866Z

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=2026-06-30T22:18:45.189576Z digest=sha256:4c6dffebfae5fac54968a4a580048d21622fbda9c2255063eff0ee345b2e0986

Observation aa096206-f693-4130-870e-33e259e7da8f · inbound

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

TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:50:11.319616Z

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=2026-06-25T19:35:06.090910Z digest=sha256:181ff6f705bfc15e4c66e4517dfbb684034da7d6d4a5fa19dcc8d6888de2ed26

Observation c6d741e6-7b0c-4bf9-bc5c-c4a38327bef9 · inbound

Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data? cites this paper.

Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data? AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-11T15:02:34.391204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T15:02:34.391204Z digest=sha256:cc7a5f4970c9ed8558e0e23beeeecae31c0298f749cc7a235f17fded176a343b

Observation ee6846d7-14ac-4868-99d4-8a12d99aa43f · inbound

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows cites this paper.

Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-09T09:06:06.143880Z

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=2026-07-09T09:01:10.366890Z digest=sha256:874ded5fe526bda5843526eef123f8e61aaeffc3677b3fe50a64c86163346575

Observation 90c4f7d8-9658-4e50-b463-2921520f1ada · inbound

AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets cites this paper.

AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T22:23:21.849092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:23:21.849092Z digest=sha256:1e5b2abe3b6ef6e25686df7ec252e93c310798bd8c815de0a79a1884089b2c65

Observation 728f5adc-6310-48d5-91a2-922471942bed · inbound

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search cites this paper.

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T12:46:28.186889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:46:28.186889Z digest=sha256:c7509230dd60b23e5a9f4af4eb04183fe0faf27ff5645590e0be93bb302446ba

Observation 23d57a55-fd37-44de-b31b-d1c211e8e885 · inbound

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs cites this paper.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T02:02:24.664176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:24.664176Z digest=sha256:eab8afc9f4a32ebbe86fe19e751ad16644ce863ac60d5f02ffb581569ad67d6e