Pith. sign in

Paper Citation Record · LEDGER

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

As of 6 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 9 inbound Pith citation observations for arXiv:2512.04329.

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

pith.paper-citation-record.v1
2512.04329 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T17:51:20.393473Z

measured 59 of 59 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T20:15:59.064352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.743911Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact6
  • verified fuzzy38
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cacc7a0b-6251-4e61-b79b-28aaf675326d · outbound

This paper cites com / facebookresearch/detectron2.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks com / facebookresearch/detectron2

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.728771Z

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=2026-05-21T17:51:20.393473Z digest=sha256:1467a5c9e91cd9c462d5999fb55aca8151ebd5b7ef13ac2cd3cf3ce9139b960d

Observation d003eb8b-bcf2-41d0-aed5-e5dc625ce630 · outbound

This paper cites com / open - mmlab / mmdetection.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks com / open - mmlab / mmdetection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.767296Z

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=2026-05-21T17:51:20.393473Z digest=sha256:77a042e2984228bfbdc42ce01bf1ef1ed99235f713014db9e2e626f97ebf72c3

Observation 19845e0e-3bfa-4ab4-92c2-4ad067543502 · outbound

This paper cites softwareheritage.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks softwareheritage

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.746915Z

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=2026-05-21T17:51:20.393473Z digest=sha256:9dcab8fdb33071d22226d2f09ef1fd4370cf0008624dd4a5289ad3a8a31a36d2

Observation 082b29fb-f45b-4bf2-b9e3-ece1a55d8448 · outbound

This paper cites 12570.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks 12570

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.743972Z

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=2026-05-21T17:51:20.393473Z digest=sha256:2e8ccc7cd8363d093fb1a2ee6c3a6ad9a63a7f3c18c40b077f3f8c0bcad71374

Observation 05dd4732-2f1d-4806-91cd-1ddc06a40ceb · outbound

This paper cites com / SWE - agent/SWE-agent.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks com / SWE - agent/SWE-agent

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.762209Z

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=2026-05-21T17:51:20.393473Z digest=sha256:37a6bf6300f22fe86e75b7919224f392de02e96e7fef43b4c91a0bf3eb727f6f

Observation 203dea6a-1d38-4dc5-a3f6-e0bf287c8b30 · outbound

This paper cites swebench.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks swebench

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.726183Z

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=2026-05-21T17:51:20.393473Z digest=sha256:d96e1d01669e87e5d6e89179facec4b13c5e347af79a20658aca6d26fd211c7d

Observation 0faa6259-d087-414e-9b4a-dce3a70ff380 · outbound

This paper cites an unresolved cited work.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:55:26.759765Z

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=2026-05-21T17:51:20.393473Z digest=sha256:66cd7830f84fa55fa49cf187d40adc33915108d5acdeeb16b3a6dd0441fb1b2f

Observation 9ca87180-4185-499f-ae8d-a0ae3022c16a · outbound

This paper cites an unresolved cited work.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:55:26.731377Z

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=2026-05-21T17:51:20.393473Z digest=sha256:d67768a1a447daff006fcc37a67e5706562660eec01447cc0703d1c7a282c071

Observation c7c30906-761b-4142-9445-0038d8ad9dea · outbound

This paper cites Prefix- aware exact/near/AST dedup + diversity top-up.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Prefix- aware exact/near/AST dedup + diversity top-up

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.757508Z

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=2026-05-21T17:51:20.393473Z digest=sha256:3bad49906af0e50479734200b942d97574cc692cb67133b0d00f2da1971183ce

Observation 39a963cf-8140-47bb-9a22-2b25ade8cc25 · outbound

This paper cites GitHub repository.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks GitHub repository

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.749224Z

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=2026-05-21T17:51:20.393473Z digest=sha256:97ba8d82476f62a66ebe8092580bacf113061e323ae6dbddd271426ceadcac1b

Observation 643397c2-dcaa-496f-9511-fad6713c9659 · outbound

This paper cites https : / / docs.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks https : / / docs

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.738936Z

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=2026-05-21T17:51:20.393473Z digest=sha256:fe5202f749f3a0daafdb49e5afd6a46436634a426914d6251d1ea4e27c15a3ae

Observation 3dd1cbda-6a9f-43fe-8763-3c1020a5c014 · outbound

This paper cites [13]SQLite Documentation.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks [13]SQLite Documentation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.764576Z

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=2026-05-21T17:51:20.393473Z digest=sha256:c5b64052ebf6f0cdbe9b91226e4c8356ccd6cb196e3953c2aebe001bda2f9765

Observation 60e88106-f22d-4f71-b25f-9e0aceb9563d · outbound

This paper cites an unresolved cited work.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:55:26.736713Z

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=2026-05-21T17:51:20.393473Z digest=sha256:392c2fe2d567fbf7a070485d0f76bd5f824dfee83c0a6743040dead1a92f0d51

Observation 2c50ad0c-28ca-450f-a3bb-635602c63896 · outbound

This paper cites pytorch.org/docs/stable/hub.html.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks pytorch.org/docs/stable/hub.html

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.752172Z

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=2026-05-21T17:51:20.393473Z digest=sha256:04abbe9d7c91d9ef680dfab611db394acff49d56d05e6a7a153c12b44a745d17

Observation b050b4ce-17c0-40e3-8d8b-3a3b34a053c5 · outbound

This paper cites an unresolved cited work.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-21T17:55:26.754613Z

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=2026-05-21T17:51:20.393473Z digest=sha256:958d3ccf783f9285f70d2141c0be1a853055af64b004de0614ddbe8fad5b9fe2

Observation abc4df4c-b645-46ce-b0e6-238b832094f4 · outbound

This paper cites wikipedia.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks wikipedia

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.734049Z

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=2026-05-21T17:51:20.393473Z digest=sha256:8a0c01f165be2d0e15593ca49f4a3d9498540e4056249d0c527542ecc0e5b6e0

Observation 4e515c7b-4519-4917-a171-49dd09df8e32 · outbound

This paper cites SWE-Bench+: Enhanced Coding Benchmark for LLMs.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks SWE-Bench+: Enhanced Coding Benchmark for LLMs

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T17:54:18.588382Z

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=2026-05-21T17:51:20.393473Z digest=sha256:f8855342d692ca45146f93dca912a6f1ebcbef6d642a540c0651395fc6f22fc9

Observation 115089eb-08cb-418e-b5d3-1940e8c58662 · outbound

This paper cites LEMUR Neural Network Dataset: Towards Seamless AutoML.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-02T03:03:59.122865Z

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=2026-05-21T17:51:20.393473Z digest=sha256:8499a2e26e1048406643c4001cfa5057ab351ea6d71809d8dece563c4a9b3bcc

Observation 0577c940-de32-4e27-ad8f-7b745fcc3e60 · outbound

This paper cites Large-scale near-deduplication behind bigcode.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Large-scale near-deduplication behind bigcode

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.741636Z

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=2026-05-21T17:51:20.393473Z digest=sha256:bb3ddfe0e0f20ea8c82067284aea227958e7c27a3e1db8ea6cb2c6c07c10afb2

Observation c281b1ad-374d-43e5-88ac-80bace07f3b4 · outbound

This paper cites CodeR: Issue Resolving with Multi-Agent and Task Graphs.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks CodeR: Issue Resolving with Multi-Agent and Task Graphs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:54:18.584908Z

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=2026-05-21T17:51:20.393473Z digest=sha256:485071554cbeb8cac1c87a945a13e56471f3ae2d3049f36eb58a4206bfe54190

Observation 854c2021-72bb-4816-9d7c-dc6efbf43a3a · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:54:18.561045Z

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=2026-05-21T17:51:20.393473Z digest=sha256:09b32ed4c61f43897d349519d90304b82d470ab79eaa7baf3786a508c9f76e6d

Observation f8ce0a3d-bc76-4ea4-af77-f3892e8fd070 · outbound

This paper cites Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.665107Z

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=2026-05-21T17:51:20.393473Z digest=sha256:e0800dd16dc54a9ac9e39dc2eb7cdcb4026f954dc3ffe18b682278edb7ffde88

Observation 594b94c7-4dda-4116-80b3-eb14f77a6491 · outbound

This paper cites Deep code search.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Deep code search

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.700549Z

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=2026-05-21T17:51:20.393473Z digest=sha256:2a1e505d466091262cd71218605ce6783ed0ebb4bced44031cd751c4a6f8c70a

Observation 2d75f79b-0007-46ad-b1a5-8bb54ec45dfa · outbound

This paper cites Deep code search.DL ACM.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Deep code search.DL ACM

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.686028Z

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=2026-05-21T17:51:20.393473Z digest=sha256:8256b913c910a3ba0d319f9db8830635d78bc380366701ea9e108359cdad6a8f

Observation 666221d6-e4c2-4304-ae78-74b2f80b7cd4 · outbound

This paper cites Identity mappings in deep residual networks.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Identity mappings in deep residual networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.705714Z

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=2026-05-21T17:51:20.393473Z digest=sha256:4656f8fd72562e6b3ba84ab33454b27479c682d43eb1ba19645c97b14558a59c

Observation 3dcb771b-f5d7-4afe-866d-253d8c259ec1 · outbound

This paper cites Squeeze-and-excitation networks.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Squeeze-and-excitation networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.716436Z

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=2026-05-21T17:51:20.393473Z digest=sha256:7cdb7226222a834d219a3b22f94dcfaa3dd40236cec9aece68295d18d831ba84

Observation 8ce644da-e7e5-418d-8071-39cd7a5f998f · outbound

This paper cites Weinberger.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Weinberger

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.723610Z

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=2026-05-21T17:51:20.393473Z digest=sha256:9594449e04c80831f3fe018dbdfc7826f8a86aa94992093f94874f2a0097aa16

Observation 184f8b36-8fd1-4019-92c3-422ad62b2547 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:54:18.565139Z

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=2026-05-21T17:51:20.393473Z digest=sha256:4f3b6bcb5235e1bf0203ada234fea82d3e2b114cbdc06279f9e567992f6ec354

Observation 7cc28984-4273-4fa2-b339-07c43340f7ca · outbound

This paper cites Deckard: Scalable and accurate tree-based detection of code clones.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Deckard: Scalable and accurate tree-based detection of code clones

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.658272Z

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=2026-05-21T17:51:20.393473Z digest=sha256:cb8fb0b0c2ef9e223260ade752229488789f1ba97b2bc5d7780b1866b71187dd

Observation 7c2ef6f1-d3f0-4635-86fa-034d0b608273 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-21T17:54:18.568580Z

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=2026-05-21T17:51:20.393473Z digest=sha256:62b8ae7db32ef82d916754e2bc9b4a48a0ffd993d292e0ca967ba2b0450542da

Observation c36c45b4-33fa-471b-af6c-11b45d42ffe8 · outbound

This paper cites Retrieval-augmented gener- ation for knowledge-intensive NLP tasks.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Retrieval-augmented gener- ation for knowledge-intensive NLP tasks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.654951Z

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=2026-05-21T17:51:20.393473Z digest=sha256:4cde320b07ae086bb8232f36431780ec798f358fb2ae7c51e7073d850a90e716

Observation 271f3f90-f61e-4124-850f-25a141f9dc6d · outbound

This paper cites Libcst: Concrete syntax tree parser and transformer for python.https : / / libcst.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Libcst: Concrete syntax tree parser and transformer for python.https : / / libcst

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.711563Z

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=2026-05-21T17:51:20.393473Z digest=sha256:d356c9e1c332edfd6668d17c5d3a9b521b39a0af6886728923084f129ce7b617

Observation f8a559ee-dfe7-4560-97ef-2716a482b0b8 · outbound

This paper cites Perry et al.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Perry et al

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.661403Z

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=2026-05-21T17:51:20.393473Z digest=sha256:c62fa5448d009ebdc2649cadf1a905692588ee8915c0c086451ba194e7e34d60

Observation 5cfdc5cf-5197-4363-ae21-86dd7e12cede · outbound

This paper cites Improving reproducibility in machine learning research.Journal of Machine Learning Research.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Improving reproducibility in machine learning research.Journal of Machine Learning Research

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.708697Z

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=2026-05-21T17:51:20.393473Z digest=sha256:af122453498466f27b1739a42d9805750dc41be96beb0397a3a461fa58832d75

Observation fb23dd8e-abeb-4149-b89f-6d0700c60391 · outbound

This paper cites importlib — the implemen- tation ofimport.https://docs.python.org/3/ library/importlib.html.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks importlib — the implemen- tation ofimport.https://docs.python.org/3/ library/importlib.html

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.689208Z

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=2026-05-21T17:51:20.393473Z digest=sha256:411dc04f2c63fabd1f689577a5f4142c6985f2d830324aca26a53d04de0aa8d6

Observation 7778319f-7bb1-4ba8-bdba-1855140bce37 · outbound

This paper cites importlib.metadata — access package metadata.https://docs.python.org/3/ library/importlib.metadata.html.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks importlib.metadata — access package metadata.https://docs.python.org/3/ library/importlib.metadata.html

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.692244Z

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=2026-05-21T17:51:20.393473Z digest=sha256:ae7e2ad63f2256e0d26f0cff31c8ff3de58331c350a8abbebb0aac392a45ffac

Observation c8451ce6-1f85-4a11-9d24-0be69cddc613 · outbound

This paper cites ast — abstract syntax trees.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks ast — abstract syntax trees

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.721341Z

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=2026-05-21T17:51:20.393473Z digest=sha256:fa103097e7d3ea3eb5fb4ae5da62138562226e11c31391234866e49e546788a3

Observation a2dc69fb-d977-4189-9b56-5889ac072789 · outbound

This paper cites compile() — built-in func- tions.https://docs.python.org/3/library/ functions.html#compile.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks compile() — built-in func- tions.https://docs.python.org/3/library/ functions.html#compile

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.703094Z

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=2026-05-21T17:51:20.393473Z digest=sha256:eca2095c34ce5dc485f2115cc382971d2644b17c26357d79eb4de46721a72e83

Observation 3b002b25-52f7-497a-b5e3-2acea32a8a97 · outbound

This paper cites Execution model — nam- ing and binding.https://docs.python.org/3/ reference/executionmodel.html.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Execution model — nam- ing and binding.https://docs.python.org/3/ reference/executionmodel.html

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.670907Z

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=2026-05-21T17:51:20.393473Z digest=sha256:5153214e5261412feb66ada9f1b6b1d9305febf75a020fe9843bfc762ae84162

Observation 794eaee3-f635-45c8-b838-ba968c109395 · outbound

This paper cites The import system.https: / / docs.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks The import system.https: / / docs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.677042Z

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=2026-05-21T17:51:20.393473Z digest=sha256:5b60cf45c303e41badef9b89867b8e4b4b136c83d0adf77d627d7bbb3875077f

Observation 4b9e6518-42f8-4601-a808-191387cfd5bd · outbound

This paper cites The python import sys- tem.https://docs.python.org/3/reference/ import.html.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks The python import sys- tem.https://docs.python.org/3/reference/ import.html

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.674065Z

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=2026-05-21T17:51:20.393473Z digest=sha256:3931c660a20bebd9a25f7b506a86f32e1b8eec274c95469fd47cb1ddd3d33d8c

Observation 61ebec80-21d0-47f4-8b84-741b413e5bd3 · outbound

This paper cites Extending pytorch.https : / / pytorch.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Extending pytorch.https : / / pytorch

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.679855Z

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=2026-05-21T17:51:20.393473Z digest=sha256:eb5b2ceeab712f7515e1c4949ae6dbaa5dca3659da5ee956cfefb169a080f393

Observation 731365ee-29bd-4a15-b7f7-644c65a3f241 · outbound

This paper cites Roy and James R.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Roy and James R

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.695114Z

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=2026-05-21T17:51:20.393473Z digest=sha256:61229e587c17a1491ed2580559d6cf9c639c8415e6e7b8858b5b90ca105b2245

Observation 59bd5a1e-ef73-4f53-b9a9-e1ec73b9cc62 · outbound

This paper cites Roy, and Cristina V.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Roy, and Cristina V

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.668012Z

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=2026-05-21T17:51:20.393473Z digest=sha256:2899747cab447ab73b2f27e16d398cc854ee65e38df2fcea9f487f0aa0392eef

Observation 0202188f-db10-49a5-adc4-5692ee478f16 · outbound

This paper cites Pep 8 — style guide for python code.https://peps.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Pep 8 — style guide for python code.https://peps

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.713961Z

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=2026-05-21T17:51:20.393473Z digest=sha256:5a168de3e61a5516672d3537013253bfdc269b7f409b26de71f36872cab43c50

Observation 551eb5bb-2033-4815-bedd-03d6957e50dc · outbound

This paper cites Swe-agent: Agent-computer inter- faces enable automated software engineering.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Swe-agent: Agent-computer inter- faces enable automated software engineering

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.718719Z

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=2026-05-21T17:51:20.393473Z digest=sha256:c9914859f8ac83ee51763a3c4b44437498a40c9fdb2148de8953d596abb8f5f1

Observation a3574966-d01b-43c4-b8d7-0cc527b7322d · outbound

This paper cites Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.683270Z

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=2026-05-21T17:51:20.393473Z digest=sha256:0ebe3012eecac62f805753cec179cdb435ccfa28087480b2bd2851ce5d4423b3

Observation 6963fbed-124f-415c-a574-ea172b741415 · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:54:18.572242Z

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=2026-05-21T17:51:20.393473Z digest=sha256:f6285819565d9d6b54572280a078b806db710d051323ea9b774efd94eda7a9ae

Observation 3f6a7436-9d7d-4aa7-8b2c-426d2171bca5 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks mixup: Beyond Empirical Risk Minimization

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T17:54:18.575802Z

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=2026-05-21T17:51:20.393473Z digest=sha256:a6033a3cbb96c26e621ca5a9601d1d992ddac75451e8891d68c6bab553707a64

Observation 17a500de-0c39-4fd9-93f7-99e8281da104 · outbound

This paper cites Making convolutional networks shift- invariant again.

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks Making convolutional networks shift- invariant again

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T17:55:26.697883Z

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=2026-05-21T17:51:20.393473Z digest=sha256:975d875e1c78e4e14b2cf82a7c3dabb2c3ccebe73dcd59c5c1593bf9e05ece36

Pith citing papers

Observation 6a6d9656-9027-40c9-aa14-6b93e7f0fd90 · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:59.675339Z

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=2026-05-17T23:22:59.323897Z digest=sha256:8fc488ffea4d67ae0a82ceefd66fe0d8eb4849690efec4c08c6e1f2162c8dbc4

Observation 42f41e1c-bd83-4aeb-8530-1da51f9bb997 · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-21T19:25:31.138540Z

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=2026-05-21T19:25:25.465712Z digest=sha256:670a847cd1e426f228922d84d1e04a7126df33acef1decf37d2551f8442c0513

Observation a4762369-e510-40c3-bd9e-1c59b70bdead · inbound

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design cites this paper.

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:59.675339Z

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=2026-05-16T19:08:18.706760Z digest=sha256:e3842edbf9e2e42b1b909d352436e55da8df0c2c0beea8165654a1ec442efb3c

Observation 8e3b46dd-63d5-43a2-bc4c-36cea96062fa · inbound

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models cites this paper.

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:59.675339Z

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=2026-05-16T14:34:24.849584Z digest=sha256:d9927d1f0afedb8289751db4630c5de77af5fc1f2334012efea0c27c04677d5b

Observation 6ddd9adf-d88f-49d9-870a-fb52dd658188 · inbound

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs cites this paper.

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:59.675339Z

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=2026-05-08T16:28:40.262681Z digest=sha256:bc2f6b1f1dd5cb5c9797f1a3539f7409e6f39a9ae95d58da5d69291aece3a87d

Observation 9f4aec64-37fe-49de-86d1-fa5f4ba42fdd · inbound

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study cites this paper.

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-04T03:39:30.557110Z

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=2026-06-26T17:46:06.322543Z digest=sha256:562056a9f81753293776d07ec4453b69e5596950a41632f988b73e6704f1ee34

Observation 91b3656d-440b-4cec-8e0a-148ec29c748f · inbound

Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search cites this paper.

Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:59:42.662188Z

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=2026-06-26T10:43:32.533041Z digest=sha256:abb6145657bb079df13f230759a536e6ed93a0191fb58d276377ef8e497173d9

Observation d9abff4b-e19c-470e-a118-dbc2edfa242f · inbound

LEMUR 2: Unlocking Neural Network Diversity for AI cites this paper.

LEMUR 2: Unlocking Neural Network Diversity for AI A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:17:33.745309Z

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=2026-07-10T20:15:59.064352Z digest=sha256:1e3642953925e9b4584f4075b9d0af54ead33dbe0eafc969bb89850432d1889a

Observation 8a3d7a53-1588-4644-8c2b-a63c920dd971 · inbound

Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures cites this paper.

Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-10T06:16:51.284693Z

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=2026-07-10T06:13:42.239715Z digest=sha256:4e7976aa437cb2422e5bdee4fc33c2f8b8f377880dacc1baa3e7c3fca7e8cef7