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Paper Citation Record · LEDGER

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.11742.

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

pith.paper-citation-record.v1
2507.11742 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:09:43.497085Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:01:40.043634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:31:25.494735Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy16
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a95b5ad4-be39-4540-a325-c6b472938521 · outbound

This paper cites Your notebook is not crumby enough, REP lace it.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Your notebook is not crumby enough, REP lace it

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:40.857325Z digest=sha256:a40bb5808238ec1bfe39e965f2b842084feb2fe963a69317b9bae9f8625cd2a2

Observation 6cd4a1d2-201a-42e4-9a7e-70e0f8c9204e · outbound

This paper cites Spider2-v: How far are multimodal agents from automating data science and engineering workflows? Advances in Neural Information Processing Systems, 37: 0 107703--107744, 2024.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Spider2-v: How far are multimodal agents from automating data science and engineering workflows? Advances in Neural Information Processing Systems, 37: 0 107703--107744, 2024

Reference 2

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unresolved
no resolver link, observed 2026-08-06T17:09:40.907051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:40.907051Z digest=sha256:14cd97044c055566bd21351ba137b4dd927dfb68ffebd12aea7f180e2ab76337

Observation 09e20b9f-2a19-4b87-9bda-ff31d90b8093 · outbound

This paper cites Niw: Converting notebooks into workflows to capture dataflow and provenance.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Niw: Converting notebooks into workflows to capture dataflow and provenance

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:47.652600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 37319667-710a-488e-b6ae-1c0fa8ddfc17 · outbound

This paper cites Dataflow-guided retrieval augmentation for repository-level code completion.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Dataflow-guided retrieval augmentation for repository-level code completion

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:41.068184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:41.068184Z digest=sha256:a01313f55fe1f74539e91beb81bb0eab94507c4065176834696bade8e98bb302

Observation 1742997f-4531-48a5-b858-3befb65f5da8 · outbound

This paper cites Applications of link prediction in social networks: A review.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Applications of link prediction in social networks: A review

Reference 5

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unresolved
no resolver link, observed 2026-08-06T17:09:41.149179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:41.149179Z digest=sha256:cbae143ec41dc074e4dd84fa14caa37e3761f5485d673506a25da8cd97c9ab81

Observation 46a2dadb-2a05-46f8-8566-f24020a0caba · outbound

This paper cites an unresolved cited work.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 46ff39fd-ee70-4e0e-9518-d1b78c3430e5 · outbound

This paper cites Graphcodebert: Pre-training code representations with data flow.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Graphcodebert: Pre-training code representations with data flow

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:41.315841Z digest=sha256:a27fe1c8bd22ec44106eaa2fbdc826c49fbca7a5c5081cb44f2e39d04742fe75

Observation bd143363-051c-48e0-a3a0-9e9cf8d8a9e6 · outbound

This paper cites Analyzing the Performance of Large Language Models on Code Summarization.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Analyzing the Performance of Large Language Models on Code Summarization

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f9676c2-1333-46a0-9aed-4987609ed0bc · outbound

This paper cites A review on evaluation metrics for data classification evaluations.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks A review on evaluation metrics for data classification evaluations

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:41.488393Z digest=sha256:405adceb6c1c9897b6338198eb368c104bb728f6e5118756ab24447661800c8d

Observation 67934c2f-8738-4d0a-9ae8-0004da6930c3 · outbound

This paper cites Execution-based evaluation for data science code generation models.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Execution-based evaluation for data science code generation models

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d836f9da-44fb-4d09-846d-d9031c3d58d7 · outbound

This paper cites an unresolved cited work.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Unresolved cited work

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:41.727234Z digest=sha256:5f52318c768a1260d2dc9311352ec6b68e4f832123c0a63d7876924f1ab815c3

Observation 5b6bb04f-aaea-4af3-82cb-3e744434d529 · outbound

This paper cites Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 026986f5-5b1e-44b1-915e-c7f4589d8e28 · outbound

This paper cites Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, Jessica B.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, Jessica B

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:41.859054Z digest=sha256:6dfb88bc3c90cf9bfafc5557dbdea98aa275ed2e0822c9718e03ee3fb5ae44f4

Observation 8c090592-efe2-4ade-9a22-594a86c2bbad · outbound

This paper cites Information retrieval on the web.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Information retrieval on the web

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:46.700910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 80460618-a48e-49fb-8b53-9b04a69b6026 · outbound

This paper cites Dataflow notebooks: encoding and tracking dependencies of cells.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Dataflow notebooks: encoding and tracking dependencies of cells

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 87b380fe-0dd5-4157-a7bc-d156c095c60d · outbound

This paper cites Snakemake—a scalable bioinformatics workflow engine.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Snakemake—a scalable bioinformatics workflow engine

Reference 16

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unresolved
no resolver link, observed 2026-08-06T17:09:42.096425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d4b9dc57-ce34-4736-8226-3aa44df43065 · outbound

This paper cites Python code generation by asking clarification questions.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Python code generation by asking clarification questions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:42.210935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:42.210935Z digest=sha256:8fc35c25e7310230a9d08e99d8062cbdbe8c7a86dc9ddc1bf4dceeded5888d52

Observation c663a298-ea26-41b0-9752-454a8b5e6273 · outbound

This paper cites Demonstration of elasticnotebook: Migrating live computational notebook states.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Demonstration of elasticnotebook: Migrating live computational notebook states

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:46.352757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:42.277835Z digest=sha256:9c35fd058a78c883bbe5f9cef057f0f0592bc5bbbb387d01e4cb0d0ae7863876

Observation b1956ec5-1e94-4a1a-84c6-82800d8a3e12 · outbound

This paper cites Scientific workflow management and the kepler system.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Scientific workflow management and the kepler system

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:46.154477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 07a95aae-17bd-4a69-a0a6-e359c7ea016f · outbound

This paper cites A large language model-assisted education tool to provide feedback on open-ended responses.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks A large language model-assisted education tool to provide feedback on open-ended responses

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:42.414633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:42.414633Z digest=sha256:3df8b1ecd5c346d149eef2bb2c665221c6705306ef9bb7f350858eaddfa81d65

Observation 9bc8978c-24e7-4d60-a0b9-2e05285306dc · outbound

This paper cites Kyle Bocinsky, Yang Cao, James Cheney, Fernando Chirigati, Saumen Dey, Juliana Freire, Christopher Jones, James Hanken, Keith W.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Kyle Bocinsky, Yang Cao, James Cheney, Fernando Chirigati, Saumen Dey, Juliana Freire, Christopher Jones, James Hanken, Keith W

Reference 21

Resolution
verified exact
doi, observed 2026-08-06T17:09:46.000516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c74addc4-99aa-4b17-b855-0a522052c159 · outbound

This paper cites Using an llm to help with code understanding.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Using an llm to help with code understanding

Reference 22

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unresolved
no resolver link, observed 2026-08-06T17:09:42.565710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:42.565710Z digest=sha256:26d831ad2edbda5bf46e5d3e844dc579e8b58d5e22b6668e09cc7acea688311f

Observation 76854892-b3c1-4d9c-9f0c-e09d62641f63 · outbound

This paper cites Taverna: a tool for the composition and enactment of bioinformatics workflows.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Taverna: a tool for the composition and enactment of bioinformatics workflows

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:45.809757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:42.641928Z digest=sha256:9e9b983aa30e1581e1e41beda457ce51368b098b251303d61834bdc44ca9ef67

Observation 6114397c-022f-41e1-a6f4-6ccfb7d9c3d9 · outbound

This paper cites A large-scale study about quality and reproducibility of jupyter notebooks.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks A large-scale study about quality and reproducibility of jupyter notebooks

Reference 24

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unresolved
no resolver link, observed 2026-08-06T17:09:42.690995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:42.690995Z digest=sha256:b83ec3144c63e428a8e2b260643edfb81b1038ecf7b0f2e1049a685d68d82380

Observation a61bde3f-8e8a-4a4b-8fee-895554804ab6 · outbound

This paper cites Meta kaggle code, 2023.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Meta kaggle code, 2023

Reference 25

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 37579880-504d-41d6-9e16-27e360ec398d · outbound

This paper cites Visualising data science workflows to support third-party notebook comprehension: an empirical study.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Visualising data science workflows to support third-party notebook comprehension: an empirical study

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:42.850446Z digest=sha256:42d0b5bf91d13bb622655bbbc60205a8288b1f58eb6ce81e868e2642b645c7d4

Observation 6808db10-7421-4029-81b2-86fa7d7fb34a · outbound

This paper cites Meta kaggle, 2022.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Meta kaggle, 2022

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:45.591475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5606cbd5-e89b-49ec-9ea1-bbf323ac1580 · outbound

This paper cites Autodrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Autodrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:09:45.412323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:42.981770Z digest=sha256:b3df9b9670e95de9a65947b133c58bbf71348a6c08b2738e117efae50713dc83

Observation 65f5a11f-1542-4c47-9c55-585b72d01ee6 · outbound

This paper cites LLMDFA : Analyzing Dataflow in Code with Large Language Models.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks LLMDFA : Analyzing Dataflow in Code with Large Language Models

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T17:09:45.267901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:43.045558Z digest=sha256:4cb2062c84b482dbddff16b4e29405c193c2826730c6542050d22d5f43dbc3ac

Observation 0f7eabc3-87d9-416e-963d-da848b8c4f6e · outbound

This paper cites Le, and Denny Zhou.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Le, and Denny Zhou

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T17:09:45.125587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:43.126850Z digest=sha256:594990e885ed69c162948011abbe9e246795dedd6e6fb6632e0caeea5bd2f608

Observation e981f10a-2f08-43e7-9a4e-13cf724a51e0 · outbound

This paper cites Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure

Reference 31

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verified exact
raw_fallback, observed 2026-08-06T17:09:43.984975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T17:09:43.170825Z digest=sha256:b413f8e3ca4e2251472ed5f3585587d8c298d94aaa563e08773b6b73a1c42300

Observation 5c97b4f0-631c-4230-97fe-5270ade21723 · outbound

This paper cites Natural Language to Code Generation in Interactive Data Science Notebooks.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:43.258806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:43.258806Z digest=sha256:5c7c70d24854876768ac826114c1d1121f12c77111803112d1e6616bec090104

Observation a51d5040-672c-49df-9a82-677b1849bb4b · outbound

This paper cites R epo C oder: Repository-level code completion through iterative retrieval and generation.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks R epo C oder: Repository-level code completion through iterative retrieval and generation

Reference 33

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unresolved
no resolver link, observed 2026-08-06T17:09:43.302419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:43.302419Z digest=sha256:9346a7363953e3d9f921480ef0d3873cdad3c7a31f1914b7db5fdb8ba3845423

Observation 2ab58091-b0a0-4591-b8f9-206af8b315ed · outbound

This paper cites @esa (Ref.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks @esa (Ref

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:43.358297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e74c5887-b30c-480e-80d6-597bd032b461 · outbound

This paper cites an unresolved cited work.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Unresolved cited work

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

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Observation 4c4bb61e-c83a-4980-b857-8a5b5aab7d43 · outbound

This paper cites an unresolved cited work.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:43.497085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 68353289-89f3-4d37-9d57-a8e778991919 · inbound

PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? cites this paper.

PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks

Reference 32

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arxiv_id, observed 2026-05-12T08:31:25.497985Z

Source-reported events for the cited work

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