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Paper Citation Record · LEDGER

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.11886.

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

pith.paper-citation-record.v1
2608.11886 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:27:19.617941Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ffc15bc-e9d3-483e-bcda-418d1b08b86c · outbound

This paper cites Deep learning for self-driving cars: Chances and challenges,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Deep learning for self-driving cars: Chances and challenges,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T00:27:20.076253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 666fe505-59a9-4164-abfe-f9b00e3d4ab4 · outbound

This paper cites Anomaly detection in autonomous driving: A survey,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Anomaly detection in autonomous driving: A survey,

Reference 2

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no resolver link, observed 2026-08-16T00:27:19.494969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49cd0cb5-6e7d-4530-ab06-14dc6dd781f8 · outbound

This paper cites Deep learning for healthcare: review, opportunities and challenges,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Deep learning for healthcare: review, opportunities and challenges,

Reference 3

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no resolver link, observed 2026-08-16T00:27:19.499149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:19.499149Z digest=sha256:24d73cf09036521fcc90a707e28d4af5b07c0b3520ce9f0c0839502f06a00c99

Observation 99c7cbfb-5fe9-4575-b7bf-c70261414f29 · outbound

This paper cites Deep learning for smart healthcare—a survey on brain tumor detection from medical imaging,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Deep learning for smart healthcare—a survey on brain tumor detection from medical imaging,

Reference 4

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raw_fallback, observed 2026-08-16T00:27:20.046648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.503910Z digest=sha256:bf825f563cf9bf940be49ac08baeba12028ee67deefbffba3fb788a9118f69fc

Observation e1b9df4f-24a2-4f4b-b812-0d1b30715b52 · outbound

This paper cites Deep learning for finance: deep portfolios,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Deep learning for finance: deep portfolios,

Reference 5

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raw_fallback, observed 2026-08-16T00:27:20.032468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63273e64-7c3f-4e50-a271-492d4c6457c8 · outbound

This paper cites An efficient outlier detection with deep learning-based financial crisis prediction model in big data environment,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing An efficient outlier detection with deep learning-based financial crisis prediction model in big data environment,

Reference 6

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raw_fallback, observed 2026-08-16T00:27:20.019464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.512768Z digest=sha256:2bf48e753219a7b99336ca5f56643258eebab66ed06613096420b2bcddbfdbda

Observation 91e17aab-32b5-44ac-bcd4-614239a4da59 · outbound

This paper cites Fuzzing: a survey,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Fuzzing: a survey,

Reference 7

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raw_fallback, observed 2026-08-16T00:27:20.003540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a7e77b91-e31e-4ff7-9a2d-3ee01c82e103 · outbound

This paper cites Docter: documentation-guided fuzzing for testing deep learning api functions,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Docter: documentation-guided fuzzing for testing deep learning api functions,

Reference 8

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raw_fallback, observed 2026-08-16T00:27:19.990504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 73f9e915-362a-4bf3-8f6c-3f187d22fe44 · outbound

This paper cites Audee: Automated testing for deep learning frameworks,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Audee: Automated testing for deep learning frameworks,

Reference 9

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raw_fallback, observed 2026-08-16T00:27:19.975921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.525315Z digest=sha256:1ac2fbb1364870cedd0a15f8e10a11704daa886d5a8c4a00cb5ff5bd48dd6f41

Observation 64c6aa34-152a-4364-a6ec-9e6b197ae17f · outbound

This paper cites Muffin: Testing deep learning libraries via neural architecture fuzzing,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Muffin: Testing deep learning libraries via neural architecture fuzzing,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.529254Z digest=sha256:de8bce3a89a4e9da147550ea77ff8a3ad7993eba801298d33903052d83ed5fa5

Observation a21134f3-87d7-422e-8ddf-07920b5756e8 · outbound

This paper cites Deep learning library testing via effective model generation,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Deep learning library testing via effective model generation,

Reference 11

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raw_fallback, observed 2026-08-16T00:27:19.945220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.533063Z digest=sha256:f2021534b2b4dde9429282ff247f049ea88091a257558d96eb5437ce46e7afa6

Observation 1ed0e07c-a797-4213-adcc-02ce367fb94d · outbound

This paper cites Free lunch for testing: Fuzzing deep-learning libraries from open source,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Free lunch for testing: Fuzzing deep-learning libraries from open source,

Reference 12

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raw_fallback, observed 2026-08-16T00:27:19.931578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.536556Z digest=sha256:ed347e285a250d4a1bec54b16b9c3a705de1c535378200776a92cf96edeb4f7f

Observation 81ebc199-514d-43b2-9c9f-00c17deec24b · outbound

This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,

Reference 13

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no resolver link, observed 2026-08-16T00:27:19.540234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:19.540234Z digest=sha256:f34376b3cc2a866d4d653fd6d4bc1bf429ac2e0cc5ff3cce5a72c83908d7d494

Observation 71636e90-b436-44e8-b54d-4e6177c9cd73 · outbound

This paper cites Xamt: Cross- framework api matching for testing deep learning libraries,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Xamt: Cross- framework api matching for testing deep learning libraries,

Reference 14

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raw_fallback, observed 2026-08-16T00:27:19.902576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.544404Z digest=sha256:e4217c98dd47449cc152f7227587fd747109cb966cb77057d3d097528eb25673

Observation 5cddc56d-5583-4b2d-a744-18b8d1306e31 · outbound

This paper cites A synergistic approach to improving symbolic execution using test ranges,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing A synergistic approach to improving symbolic execution using test ranges,

Reference 15

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raw_fallback, observed 2026-08-16T00:27:19.886602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.547840Z digest=sha256:86e5aa29cc3fdd8acd2b1a7915b7c8426294e61331e4c60ed91086cf70338a79

Observation ff5f794e-6190-49b8-9d68-9ea7daf7c79c · outbound

This paper cites Advances in symbolic execution,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Advances in symbolic execution,

Reference 16

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raw_fallback, observed 2026-08-16T00:27:19.871689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6754754a-2f1d-43ce-ac65-4cdd93bcd54d · outbound

This paper cites An algebraic approach for managing inconsistencies in software pro- cesses,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing An algebraic approach for managing inconsistencies in software pro- cesses,

Reference 17

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raw_fallback, observed 2026-08-16T00:27:19.857897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 28205eba-8450-40e4-b3c2-d5eb2ccb1a32 · outbound

This paper cites Feedback-driven incremental symbolic execution,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Feedback-driven incremental symbolic execution,

Reference 18

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raw_fallback, observed 2026-08-16T00:27:19.844013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4baa02d3-b37d-4585-bf25-72450a30a8d6 · outbound

This paper cites Acid: an api compatibility issue detector for android apps,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Acid: an api compatibility issue detector for android apps,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 067e7d10-cb14-441a-bd81-07c2295f076f · outbound

This paper cites Summary-guided incremental symbolic execution,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Summary-guided incremental symbolic execution,

Reference 20

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raw_fallback, observed 2026-08-16T00:27:19.819679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.566571Z digest=sha256:4f57fbdd9e2712050b396e57282c9a366fa0a6e682764d66d9b8cbb7636fabde

Observation 0906839d-afb1-4441-adac-46cf27ef902a · outbound

This paper cites Evaluating and improving neural program- smoothing-based fuzzing,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Evaluating and improving neural program- smoothing-based fuzzing,

Reference 21

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raw_fallback, observed 2026-08-16T00:27:19.807467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.570219Z digest=sha256:33631c97d3369baa628a9d0fd886daf0e95688c3f279b98573fabe33756632c7

Observation 1531f375-ac25-4931-963e-c506f0395fb9 · outbound

This paper cites {IvySyn}: Automated vulnerability discovery in deep learning frameworks,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing {IvySyn}: Automated vulnerability discovery in deep learning frameworks,

Reference 22

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raw_fallback, observed 2026-08-16T00:27:19.794144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.573910Z digest=sha256:ce8d698d73a99fd94813037e0851e15a62b03c54e69215d88449bf3adc39a980

Observation 589d4b5c-44f1-40ee-bcd8-40470af645d0 · outbound

This paper cites Metamorphic testing of deep learning compilers,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Metamorphic testing of deep learning compilers,

Reference 23

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raw_fallback, observed 2026-08-16T00:27:19.780225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.577835Z digest=sha256:323801480b0010905440ba13b21eb814c446ba7161923f00c9d65d241a32ca27

Observation 41cf1f53-aed1-404e-94e1-6c14b7bf00a0 · outbound

This paper cites Eagle: creating equivalent graphs to test deep learning libraries,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Eagle: creating equivalent graphs to test deep learning libraries,

Reference 24

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raw_fallback, observed 2026-08-16T00:27:19.765671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.583672Z digest=sha256:d25ec5bb9472809f01f872673b80e4abbf04804270358bde38a6bed75db6be62

Observation 71acd5f1-bb90-4dcb-a397-7af1a45637d3 · outbound

This paper cites Fuzzing deep-learning libraries via automated relational api inference,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Fuzzing deep-learning libraries via automated relational api inference,

Reference 25

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raw_fallback, observed 2026-08-16T00:27:19.746053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.588967Z digest=sha256:ddf12d8d5df6ca0b537124eeb9ffee1f1d88e28dfdbbcac388d9520c1b03f59b

Observation d8ff722c-7b1d-464e-af5b-23fcb169c996 · outbound

This paper cites Cradle: cross-backend validation to detect and localize bugs in deep learning libraries,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Cradle: cross-backend validation to detect and localize bugs in deep learning libraries,

Reference 26

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raw_fallback, observed 2026-08-16T00:27:19.732543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.594008Z digest=sha256:314deacfe35ae8280f3483a6369afd0522e18bacaa0e022a664256caebf5aa4d

Observation c8e672fc-d86b-4fdb-8cfb-6a24608936ab · outbound

This paper cites Nnsmith: Generating diverse and valid test cases for deep learning compilers,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Nnsmith: Generating diverse and valid test cases for deep learning compilers,

Reference 27

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no resolver link, observed 2026-08-16T00:27:19.597687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:19.597687Z digest=sha256:1cb50266ea71816f2d2caf8b3f1f7af5924d2227fd16739d714a26f06d1ebe73

Observation 79ca9aa8-30a0-48f7-8804-54fa869d8494 · outbound

This paper cites Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT

Reference 28

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unresolved
no resolver link, observed 2026-08-16T00:27:19.602826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:19.602826Z digest=sha256:d714bbe242b9b327d51062744a9f45f411cb408fd9a0eecfb26db5c0ec94f83b

Observation 323dfe7b-1a59-45c2-80c4-dc8e838d08f5 · outbound

This paper cites History- guided configuration diversification for compiler test-program genera- tion,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing History- guided configuration diversification for compiler test-program genera- tion,

Reference 29

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raw_fallback, observed 2026-08-16T00:27:19.711151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.606940Z digest=sha256:75ffc2cf827b4951ec71260c6f93894174aef6b1a138a094b77e15ad2830d2d5

Observation e2e4f2dc-e321-44f1-ac0c-dd836c3cb7d3 · outbound

This paper cites Fuzzing with code fragments,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Fuzzing with code fragments,

Reference 30

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raw_fallback, observed 2026-08-16T00:27:19.696773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.612519Z digest=sha256:8868a9014e3b8f2a32395b227403b349aeff610f32b63363e4e92c80ceea9b8f

Observation fbc7c6c8-6ce9-4027-b402-3586c7007a03 · outbound

This paper cites Differential testing of cross deep learning framework{APIs}: Revealing inconsisten- cies and vulnerabilities,.

Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing Differential testing of cross deep learning framework{APIs}: Revealing inconsisten- cies and vulnerabilities,

Reference 31

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raw_fallback, observed 2026-08-16T00:27:19.679805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:27:19.617941Z digest=sha256:408862dd6bdbb0884d30f152ff1caf70e9e8a07d74d052e659aec0916845d5d7

Pith citing papers

No inbound Pith citation observations are available.