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Paper Citation Record · LEDGER

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.28033.

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

pith.paper-citation-record.v1
2607.28033 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T19:54:08.590179Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1ee3544-3cf6-422a-aaa7-51dab5241a87 · outbound

This paper cites 2025.Claude Code: An Agentic Coding Tool.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness 2025.Claude Code: An Agentic Coding Tool

Reference 1

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source=pdf_text observed=2026-07-31T19:54:07.464704Z digest=sha256:ef834afa809f35e3262b0f75da914de061c28123c33e0286a84053461fad5de5

Observation 82b51ebb-c6d6-4b2e-903e-7917d7c36772 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-31T19:54:07.546704Z digest=sha256:e70bd9b19c866aaf1646ea159d765637d658206262746c2dc91f9861bd229f72

Observation d1905624-988c-4fdd-a3df-901a900542d1 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-31T19:54:07.653884Z digest=sha256:31b0b22b93a794dfdd61c39de5b7915ee30c11cb99ef2ec20fb83249bb758fc5

Observation b8bb039e-38d3-4874-aad7-1e859d7c2446 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-31T19:54:07.733235Z digest=sha256:223c936068d2590b040b0f387b5d691cf772766468778434c44b2ff38eaba3eb

Observation 0fef3aa3-8e6f-4b5f-9e19-5988d8eaca27 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Evaluating Large Language Models Trained on Code

Reference 5

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source=pdf_text observed=2026-07-31T19:54:07.872381Z digest=sha256:beb0ac976e443b33681ed1b01f3d454c4c605b94cbeea87fc7f6707a1a5eb7f5

Observation 7f671eb6-ee82-48da-a0c0-b19ac6eca6b6 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-31T19:54:08.036540Z digest=sha256:a23568918f0b7fc8236cb3c4b0f95b1c2140b704fa3cecfc14605965b8a59ee0

Observation 586e314b-b762-424d-b5d8-bd7a6ce4b215 · outbound

This paper cites WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Reference 7

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source=pdf_text observed=2026-07-31T19:54:08.200975Z digest=sha256:23988bc28ada948e3507e3a8f318b5bac6847f81f45f7e999ec1ee40ec0bd8e9

Observation 2b6306c8-17af-4a00-bd30-9d2331ff07a6 · outbound

This paper cites DABstep: Data Agent Benchmark for Multi-step Reasoning.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness DABstep: Data Agent Benchmark for Multi-step Reasoning

Reference 8

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source=pdf_text observed=2026-07-31T19:54:08.368823Z digest=sha256:8202b664a6293d5dd1c3cb0e6cf98a4579cb6944934412b998baf9f4102f5962

Observation cc7f1967-15e2-4ca2-9102-a5c77471b5d3 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness GLM-5: from Vibe Coding to Agentic Engineering

Reference 9

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source=pdf_text observed=2026-07-31T19:54:08.424746Z digest=sha256:f915a99404bc83f34b0fd0cd1e9fbe5147bc60f19cc39f5cebcde56b49931d7c

Observation 1b7798bc-7e88-48d5-b255-6f7969674115 · outbound

This paper cites GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

Reference 10

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source=pdf_text observed=2026-07-31T19:54:08.429432Z digest=sha256:fb9044126a360413c281e79d28d27dcbaa011a0bc05129ff25edc69c8dbc2927

Observation 96b56ec2-9993-47c0-836e-c3d0354c4f7e · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-31T19:54:08.434369Z digest=sha256:2bccc0541b88dffc5d4b58077fa47f3e1017fcc06db5dd470f0f7ac45f7d9124

Observation 4d767a33-b658-40aa-a247-2492f12bfd04 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 12

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source=pdf_text observed=2026-07-31T19:54:08.438537Z digest=sha256:637d8d28dfd52840c89a700e10e3671c72232ba180e606d7f9d256bb81eaf6e3

Observation c0a89012-0e3a-4779-9c04-69a4804e7c70 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-31T19:54:08.442926Z digest=sha256:f74a3875288df75a1163fb42fd0d2f75612fd20de59ffa8caf14e621848f7db3

Observation 8d4f3431-3730-4fc0-9e02-153e04c1c95c · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 14

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source=pdf_text observed=2026-07-31T19:54:08.447054Z digest=sha256:37e975bfb5330f2450b7d30977c56d275a17267c31ca8c29a82271a1ceaf3ecf

Observation b81538a5-d210-4ce4-9d54-f1b5517b1997 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness FinanceBench: A New Benchmark for Financial Question Answering

Reference 15

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source=pdf_text observed=2026-07-31T19:54:08.451269Z digest=sha256:02b8b9c99063e966632a478caca382ec97b2cc0262004cf985b26561dee707bf

Observation 78a16ad9-3e05-41eb-9190-00f1664a844e · outbound

This paper cites ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines

Reference 16

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source=pdf_text observed=2026-07-31T19:54:08.455823Z digest=sha256:962c3fee9eac8071259aa6e759d6fd97b30c611cb32cb89b5afd68cc4ab2e3cc

Observation d5617336-597e-4526-9ee6-f7bab0feb53b · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Kimi K2: Open Agentic Intelligence

Reference 17

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source=pdf_text observed=2026-07-31T19:54:08.460216Z digest=sha256:51563d5e1fe44d73fb206e06d9d50dc1092567e48be45cdd5418ede89a199890

Observation 0a012d1b-edcd-4d54-9df8-89d2170e8017 · outbound

This paper cites DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Reference 18

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source=pdf_text observed=2026-07-31T19:54:08.464457Z digest=sha256:1d10792b1368c04a66a5f035de81cff1d4eb7b1b08415c9cf5496e329c76cd14

Observation 996938e0-cb8f-4489-8df8-66cbd9e700c3 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-31T19:54:08.469328Z digest=sha256:8dc5a226d55f3fe160893e447e14fea875a6e5d1a49f026dd136f993db84ed53

Observation 561ba190-73de-48dd-9104-52a735b1f8e6 · outbound

This paper cites Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Reference 20

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source=pdf_text observed=2026-07-31T19:54:08.473423Z digest=sha256:0e1471ce21c093468ef0217b917722660d6902d4797b8d3cf1ee388d8cf33d6f

Observation 79c89d99-67be-49f0-b813-f9187972d75c · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-31T19:54:08.477956Z digest=sha256:d53632c63f94e45fa54928ff0fb1bec95e4e9d13d313662f76c26c9974bacc9a

Observation 044cd016-14aa-4c6c-b2d7-0e62277acb76 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness AgentBench: Evaluating LLMs as Agents

Reference 22

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source=pdf_text observed=2026-07-31T19:54:08.487404Z digest=sha256:5da725176e423e3e32c7494603c060028ae0a6780a416c8b048e87cf5cd29ec4

Observation 0e3e9838-af39-45d0-8d31-80b35e438d76 · outbound

This paper cites McKeeman.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness McKeeman

Reference 23

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source=pdf_text observed=2026-07-31T19:54:08.491484Z digest=sha256:1a0516fc02a1c42489e171b97e2cc9312674cf688156bc1973dbd67ff8bd9e70

Observation a410feff-cd3e-4a6e-93f1-ddb03dec35a5 · outbound

This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 24

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source=pdf_text observed=2026-07-31T19:54:08.495514Z digest=sha256:16ad59ee16a56578165800e700805bf7de1d64d4246eff52130df9561e5f60f0

Observation 823a1da3-cc0a-4dc8-aca9-c7a507d7ba54 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 25

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source=pdf_text observed=2026-07-31T19:54:08.499804Z digest=sha256:9f3f344e267bd86b309a42d88f5bef0b8a1fd2b04efb32c30b1920d4cf86c0ac

Observation b7cdd8dd-af68-42af-9bd1-26a17b069796 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-31T19:54:08.504209Z digest=sha256:7546cbd97fcfe3f1be96121d0ad2fda938828206697a9ea2911abe9a4dbb4beb

Observation e7ff8bb6-690d-47bf-b972-a4a0ac6af1be · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 27

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source=pdf_text observed=2026-07-31T19:54:08.508322Z digest=sha256:721b3f646f4274298507360386bb87cffc6e19defd2ea557d84f560b39e10373

Observation 84e7f823-fdec-4f28-885f-2d6bd97d3494 · outbound

This paper cites 2025.MySQL: The World’s Most Popular Open Source Database.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness 2025.MySQL: The World’s Most Popular Open Source Database

Reference 28

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source=pdf_text observed=2026-07-31T19:54:08.512415Z digest=sha256:452e240f8c8b6b8ea55a3e3401d2306ad8538b97586d38e1a315bfca5f452f1a

Observation 4380eb6a-6615-4e01-9094-900b3d89db35 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 29

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source=pdf_text observed=2026-07-31T19:54:08.516831Z digest=sha256:44a36ae9bf63cefe46b72e6e276d9b61f1324a851b2fc0c67d5165f69ee0dffe

Observation b49c1138-a146-48c6-8a93-26336ec44999 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 30

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no resolver link, observed 2026-07-31T19:54:08.526050Z

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source=pdf_text observed=2026-07-31T19:54:08.526050Z digest=sha256:aef1ef4f0bb4b92853d2358232b7b4f4d6dc159846b7a4552876655217308c3e

Observation a61af432-811c-460f-a87b-e5209a090bc3 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 31

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source=pdf_text observed=2026-07-31T19:54:08.521261Z digest=sha256:82da9f1d138a92637012b56ef052677410f7684ccaf11129c3b40e373e979762

Observation 5ee2421c-3796-488a-a1e9-805ebdfa1c7c · outbound

This paper cites 2025.CodeBuddy: An Agentic Coding and Development Platform.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness 2025.CodeBuddy: An Agentic Coding and Development Platform

Reference 32

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source=pdf_text observed=2026-07-31T19:54:08.534027Z digest=sha256:925c7aeb68e1ec9f3179465f19fa8f88bbec4f1d062cd0e906f4f5b879780379

Observation 6c085e00-6227-4583-bcb6-dc814b339c2b · outbound

This paper cites 2025.OpenClaw: Open-Source Personal AI Assistant.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness 2025.OpenClaw: Open-Source Personal AI Assistant

Reference 33

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source=pdf_text observed=2026-07-31T19:54:08.530105Z digest=sha256:7aa3a490541162fbb2e86480852660882d1fd27df237d53d85e3e2a4e5590b1f

Observation dde50c52-1f5d-4dd6-8b0a-a22f35c208b9 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 34

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source=pdf_text observed=2026-07-31T19:54:08.542503Z digest=sha256:851ffdc3b3eb9337f81c7029ce1b70e7a8ea767d3ec03f6a437003e9daadc276

Observation 23568056-e6fb-407d-bd74-c4ae4cb7e456 · outbound

This paper cites 2026.Hy3: A 295B Mixture-of-Experts Large Language Model.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness 2026.Hy3: A 295B Mixture-of-Experts Large Language Model

Reference 35

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source=pdf_text observed=2026-07-31T19:54:08.538496Z digest=sha256:86630563d822358ed150192fd60a7fb89d8aab68b27dde25872c9cc136319399

Observation 97e60f84-29d8-4014-8e9b-4080cb8f63f0 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 36

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source=pdf_text observed=2026-07-31T19:54:08.551294Z digest=sha256:bb09f7a8079fd9e4363ea602c2043f5a2c52fb4ac1b76f48085b2a0450c3e9b4

Observation 7761b0a8-c03b-43d6-9ee7-f924f4de7fff · outbound

This paper cites MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Reference 37

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source=pdf_text observed=2026-07-31T19:54:08.546745Z digest=sha256:1e4c9254143fb8c22f4fa075f21de7a9e57ea15193896ba067a7e2c829d2761d

Observation 77344f6c-a682-4c13-957d-39b1ee49ab95 · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 38

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source=pdf_text observed=2026-07-31T19:54:08.568668Z digest=sha256:5be2f1ab5a425df4c9c34b1b8d2788facadc6c100c2f449ef7cac4fda7670497

Observation 9421e6f7-af1f-4eab-917b-2e70ee7eec38 · outbound

This paper cites Franklin, Scott Shenker, and Ion Stoica.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Franklin, Scott Shenker, and Ion Stoica

Reference 39

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no resolver link, observed 2026-07-31T19:54:08.577411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.577411Z digest=sha256:5221bd593fa6ce9ef49be3234f381c9051b528667b8e348efd2167d4019d00f1

Observation 9f88b284-d8a9-4423-a3e1-426e44f5d2eb · outbound

This paper cites an unresolved cited work.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Unresolved cited work

Reference 40

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unresolved
no resolver link, observed 2026-07-31T19:54:08.559597Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.559597Z digest=sha256:f36c3c320628405156f72b7f224fa4cb67d79915aea126bd81fd25e30cc918bc

Observation 6e0c004d-3eaf-40f8-b00b-b45f3dd57776 · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 41

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unresolved
no resolver link, observed 2026-07-31T19:54:08.564257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.564257Z digest=sha256:543176505c9f797625ca7aeb4dbb6c730bd7b2f61156778a6a75816fac0b3a9c

Observation e3c6fd39-7930-45a7-8f9a-6c06f60fa799 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 42

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unresolved
no resolver link, observed 2026-07-31T19:54:08.590179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.590179Z digest=sha256:986b48ef4bd2f2f950d0aa43025bd50c8785adaf3bec2ade06224678e4cee420

Observation 16fbe94d-6834-4913-8516-dd41752bc829 · outbound

This paper cites DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-31T19:56:36.534906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-31T19:54:08.581414Z digest=sha256:e7565f72bbd970c33e8794f4b2d348e50ccda121d324d96169a62777a6f6731b

Observation 44ae7661-98e1-42cb-b5c3-e448c9103f04 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 46

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unresolved
no resolver link, observed 2026-07-31T19:54:08.585942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.585942Z digest=sha256:fc96aa289ec193482a42d94e69347cf7442acb8c66d0440145ff65ca37e15d54

Observation 6a461094-46fe-4d13-8da3-e2a438eb5255 · outbound

This paper cites InConference on Empirical Methods in Natural Language Processing (EMNLP).

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness InConference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 2018

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malformed identifier
no resolver link, observed 2026-07-31T19:54:08.573290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.573290Z digest=sha256:e7fa0b1491327391b67344412efbeafcd37eac5f32208009f14f7953642aff22

Observation 05eaa234-5e67-4680-bf4c-949737e83b25 · outbound

This paper cites Generative Judge for Evaluating Alignment.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness Generative Judge for Evaluating Alignment

Reference 2024

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unresolved
no resolver link, observed 2026-07-31T19:54:08.482280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.482280Z digest=sha256:c3b14c0ac66d2dd12bf2eb2457ba6402332dbe3828c5524e1ca09ea3729b7982

Observation 88bfc34a-aa45-4250-b1f7-d452d5cfdc00 · outbound

This paper cites FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data.

DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial Harness FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data

Reference 2026

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unresolved
no resolver link, observed 2026-07-31T19:54:08.555375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:54:08.555375Z digest=sha256:f5d8e5b091a59fe62dab98f9b610b8b5016a3f5b976af2136d46e6980d7ddc9f

Pith citing papers

No inbound Pith citation observations are available.