Pith. sign in

Paper Citation Record · LEDGER

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

As of 5 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 66 inbound Pith citation observations for arXiv:2102.04664.

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

pith.paper-citation-record.v1
2102.04664 v2

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T11:40:02.535705Z

measured 166 of 166 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 66 of 66 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:03:19.094618Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 107 outbound references displayed

  • verified exact35
  • verified fuzzy5
  • unresolved52
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch7

External citation measurements

415
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 01ea26f6-e164-449f-b871-16d08fc21c93 · outbound

This paper cites Barr, Premkumar Devanbu, and Charles Sutton.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Barr, Premkumar Devanbu, and Charles Sutton

Reference 1

Resolution
verified exact
doi, observed 2026-05-15T11:40:02.643737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ff1ec720e4477ebb961f7a2f035cb6f69d9dfa1ba06553fd643e48c273f75435

Observation 5961d26b-7e42-437d-8689-d0423489f3e0 · outbound

This paper cites Learning to Represent Programs with Graphs.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Learning to Represent Programs with Graphs

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.663425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:b8ae4cae1e2d4e3a29f4184a0ec60b716ec172b16045cabf7c5045140db370ec

Observation bf9d3a66-4e1c-4baa-9ff7-91ea870f41d7 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.825107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:eb6f9b5783f9a3a4b55e519ce0466a1c9047ac7ef4231c0edf7acf98edaf664f

Observation d9eede5d-60e1-43dc-8591-7742f1c2bba6 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.828042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:4d6ef504a14574715c21c7e10af5c652ed59ed50727fa2be3baec133ae83bf15

Observation d11b8ef1-f41a-4d77-bbcb-e9662a6a5bac · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.830741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:cc174aedcd651c68fe7fa18b257f5bed5e3d4c3bed498f558fd171ffe84634a8

Observation d0501ea9-f7a1-4c35-b4a2-2c3f2008a57f · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.833508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:9b067622d35c3dfcb14e01f03508424a9dd12cfb80eed65f44f33790ddcee3a0

Observation c4df41b6-2371-47f2-8e42-dc3f6fbfdabf · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.836056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7120e1a9f4bff6dbde39cb2ebe66c00cf95a0471536bdcb80d5ab7a21e26d191

Observation 06218bd8-065b-4f23-9c93-4603793a4eb7 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.838819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:6c639e8badc398c732baab7c9b6e761aaaf2f33e143836b3edd119d75a3062bd

Observation cff1ab40-277e-45e7-8c3e-0dbb892b785e · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.604103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:27e3d7a9f14c87e81daea877332489dd80c9890758d98f8de8e5f6b6c5814205

Observation 83c91303-154d-417b-854b-2f82169a305b · outbound

This paper cites Büch and A.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Büch and A

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.594326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:4282c3cf8be4692b71b076cc8284aae557a22d45e37884544fa19cdfd0fc1363

Observation 072230dd-8d93-4cee-9f95-d53fc67af921 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.841359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:43a4fbdfd20b21fa16fb698987fd1e52d9ace484429f777681858afc229da60e

Observation 887f784e-9ef9-44e4-b65c-958973497fd7 · outbound

This paper cites PyMT5: multi-mode translation of natural language and Python code with transformers.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation PyMT5: multi-mode translation of natural language and Python code with transformers

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.698423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:3f7fc80a4653b67c078380f3e902846e681cb6f21a7c04f71c8ec3047be8c3e4

Observation 1ce8c267-261c-466e-8d30-c59fc29e2308 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unsupervised Cross-lingual Representation Learning at Scale

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T16:23:29.639489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:8df2f8ad8594ccf0d37b5d24e8a5129fa49b8aefa19d8bfa9e38b57408ca504b

Observation c4ce4785-b0ea-4fc7-837b-4db080e622ee · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.843510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:83f353f0068ede6603549d7ac8ecb85a5578f7fa1c5a11e759681e8e3b901bf9

Observation 1ae06f67-6a77-4c08-a78b-d029b925f08e · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.845508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7ab4ef97ba976b99252b2ffca19167a07954ee05d20a75c844716756ecc91beb

Observation 223f60c8-13a7-4ef1-919a-67e71ec04b83 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.655701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:769f299902102cd46e49205c85fe37c286e259c5143a04bbe7967706cacf31f8

Observation ddf43a5a-5cb9-41f3-a86d-bedc592e05bc · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.847561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7bad1526f42fb91e5ceab5696aac6377e94b47d021a7372442878e152f9d6601

Observation 9e308bbb-aa07-4a00-bf63-ad6d124bb763 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.679969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e07a3dc85f9fe0e957c0258190fdd8c1ac6633ac6a1cc0472e625190c9a616de

Observation 355704e9-641e-4c51-b28e-065c4bbe44b3 · outbound

This paper cites Structured Neural Summarization.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Structured Neural Summarization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.691164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5023d383f4e42a9904cec988466569fa37df1fcab956bf559f4f0fef127813d2

Observation 75bddd82-b731-42f8-8039-a565e4d77de3 · outbound

This paper cites Feser, Swarat Chaudhuri, and Isil Dillig.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Feser, Swarat Chaudhuri, and Isil Dillig

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.615512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c99ec05e80775576f02b94d7e49fe4c00f4bb2f8f2d96116cc87744c253704c1

Observation f71a07c9-276e-49ac-aa2a-0e5789b0ae65 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.849470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:8e076be20e15b163dd6a028ff523469bb2d3f8b4cf5a18c27ab7c58b97f3d642

Observation 1791812a-77fd-4d50-bd03-fe0a5a3cc37c · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.851573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:bff2b84dc9595ddfcfbb5c173a0b7813441e014eea223c58e8403b69e9946e20

Observation 6ebcb969-3536-4fa8-9eb2-51419b16d3e7 · outbound

This paper cites Testing vision-based control systems using learnable evolutionary algorithms.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Testing vision-based control systems using learnable evolutionary algorithms

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.624571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:70cb7fa58324ebbe1c933d4b5ced90d0551afa39e243365912fa9a89e42e48c7

Observation 7d07c1fc-9b9a-4c76-80f4-436fe5dbf542 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.853533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e2e8c36b7abd7f28d9d2405aee14f71b96c97f57ee21262599e0337c8ad2b3ff

Observation ec23a89c-484a-43d2-b81b-b174330f317f · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.760046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:fcdbdf4746850e37f9820ca11fc2a898b4d2c4889f79a95e6cb01a27cf89937c

Observation e5d9158e-2453-490f-a335-ca0e4a737b28 · outbound

This paper cites Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.763686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ef3449e6f9b1a1422246a67d297328eb8bd4f7b5d1466719ef0a963f215b6bff

Observation 23d15e93-ce20-4959-8e1e-4bd5c8afbbd3 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.856228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:91cf893b73cbe79b17aa312f99ef9b6008394e78e441d61c5093296115ccd10b

Observation e412cc43-9de1-49a3-a03b-54def002a778 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.858010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:6f4924dde7eb2985cda2f2a63ec956f696043d2fdbf4c97e56d2474696649f9a

Observation f138795c-ce82-4f8a-90b6-85215604e650 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.859812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ed42f993c23e32910a10172234ac07230bda2ebde346718b1d692fe4dd61a8b8

Observation 0dd9d5b6-781a-4ae0-82d5-d1ea90a74b06 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.861555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:6529621d18682006e2b31e53678ffb229287b96fcb279794c14b86fac24dff44

Observation e8327ed5-c286-4507-8f20-9b1dc56bbe7a · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.863672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ecae36f1c5a847eb55e4d7109b4dc5ea0b412d2ec1564a637a8afbb8e0f33b2f

Observation 1f839cef-360e-42d2-b163-e671937a6fdb · outbound

This paper cites In 2012 34th International Conference on Software Engineering (ICSE).

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation In 2012 34th International Conference on Software Engineering (ICSE)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:40:02.865719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:34ec99de19e6b2cd19e3c66666bece39820bfb7c680379101d6d8432ac930993

Observation dd8d1523-e55f-4f12-bfaf-c51b410757e3 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.867515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5ae1ca8c9c4cfc87d67477bf048754c66d270f9ca1bf0498ca5359d1e17d22cd

Observation 18907a1a-90fe-4bcd-8478-ade113585b75 · outbound

This paper cites XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.705943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e3d0dbc4f4669d5806b617266c34a49fa2a733d8fa7b52d0c9b97fbc61caeaa8

Observation 80d1d0f8-c5f4-4a97-8d4d-629285c9497c · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.869486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:d9e9b0d5dc4638e9a32f71ce48f2472afa67985e47ab9abeb2fc3af372320eef

Observation eb08b747-4ec5-427b-9001-37b5110b464a · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.722550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:8cfedaf7b82564a431affa80b9112c18947238ee1f5b786227808afafb1781dd

Observation 76614d76-8afd-4613-84aa-6c222642de0e · outbound

This paper cites Learning Programmatic Idioms for Scalable Semantic Parsing.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Learning Programmatic Idioms for Scalable Semantic Parsing

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.687615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:0a0923f67617c8fb2a895bfd6fa69134dd37ec8b88f445a713860258c5839ee9

Observation 77fadb7a-767c-49c2-8850-cafe856adf49 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.871273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:604a3376e4ca979b4c235aa7230fba38050e309931b661d08eba602d20f73d3a

Observation 5638336b-f920-4298-af32-a6381905a43a · outbound

This paper cites Mapping Language to Code in Programmatic Context.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Mapping Language to Code in Programmatic Context

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.743764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7a5ba62060a9e0dec7668528fca02ef5f88dd2df4908390d61f6963e14ed0b98

Observation 5d94352e-3dac-4b6b-baf4-a0297c1666ad · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.872977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:4958950e58d749b5e12c2e1c4973c8f5b8698513675e9e14f2733cd0e47d73f8

Observation e7f0f4f4-592d-49cf-993b-c5279d3ec11c · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.874885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5c5e2a57bed1f859034c4027350b4343a7e449fa1c8765a92ba2de8ca8fc2297

Observation 14567d97-163d-4c13-a2f7-ed3ccda4eb53 · outbound

This paper cites Transactions of the Association for Computational Linguistics 5 (2017), 339–351.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Transactions of the Association for Computational Linguistics 5 (2017), 339–351

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:40:02.876858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c6f62fbd2c2e8239ebbb9efbf807af107a8db47d9aaa1782e74400e74848bf49

Observation 7355357c-f522-468e-97b0-b69c982407e4 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 43

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T11:40:02.772063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:db877a7d7880d2260b117b85534963aaaa7f49bd2d42d0f4d87a4912031792e2

Observation c3f06a95-b967-4bf0-aaa6-d27d0d05c0c4 · outbound

This paper cites Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.775806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:8506c174637bb9f870c580a88b9094312b590c403137d65898c4c46eb6d7586b

Observation 6d62d39d-d64b-4e0d-92ac-cf767f3c9df5 · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Convolutional Neural Networks for Sentence Classification

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.647461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:f64bd948d70042c921d683d1fbc693bc6a09ff158f9f8e4de4e4251e4cd397b2

Observation b642ba06-ce03-4e62-84cf-a0a56588e2ff · outbound

This paper cites 2003.Statistical phrase-based trans- lation.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation 2003.Statistical phrase-based trans- lation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:40:02.878790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:11c2f3080e239f611d3d1293e1bf81ff3937504538517b1edd25443348a49558

Observation c992170f-0de5-4ac9-a25c-941d09fb2de1 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.880593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:91663c4649f90b40283880feecc6787fdeb1dda582736f6761f0966a21c00243

Observation bfd3f650-ecd3-4ce9-9279-3710900a9368 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.882660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:9961c50e31ff9f3a10f54f181379cc05db2eba6423ff952689f9a855c7378e5a

Observation 55f8c64c-5960-4f14-9a35-629a518f9866 · outbound

This paper cites Unsupervised Translation of Programming Languages.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unsupervised Translation of Programming Languages

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.672030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:69319ea2f70a65c87130712f0ae158deba7665275c3dba6344f1cb428c615086

Observation dd9420a3-4522-4515-b377-9637b055876f · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.884443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:81d81b9b456c0f3064b3667c161987a2aa3864d284e24eb5be23f3c5e10e6dd6

Observation debc2f61-f8f5-45d7-afe4-d4a49867d1eb · outbound

This paper cites XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.683781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:b00d669ee4c1644f5d19cbf2f1a0548a7e472e5e4ada84d8f17f561c5c3dff55

Observation 258ac8a6-4a9f-4dbe-98fa-89a473286c6d · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.886211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:3db0d091d4455249612f258618fca26c5bb6fee2b861abf3574c72f554e17fdd

Observation ff1d9dd7-adf5-41ef-8f1b-8fd6bb712c39 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.694785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:734620ddfa3d97dafca04d1a74e1c9336ffda88de5ec2dffa8342fb22c0e242b

Observation 06133649-0ff6-4952-8994-de4cba8a0610 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.887998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:343d548388f2ec6f725e05ec676d9b5cc1e3cd1f4fe738617c73f204bbaf86f0

Observation bd03b7c8-5a25-46b0-8a51-afe89d55750d · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.889793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:bb5ce3166c5264963ff247e0652f2a28ad839422439d14bfb3ba0da6415bcb6b

Observation 97205552-98a4-4909-adef-30f401dcb2a7 · outbound

This paper cites Neural Programmer: Inducing Latent Programs with Gradient Descent.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Neural Programmer: Inducing Latent Programs with Gradient Descent

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.701739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:3aadeb6c0ab00b728b9d06c99b99bb15ec891218bfa214bbde7946e59e554278

Observation 639d49b6-a63c-4565-a904-c00dfc589a58 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.891602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:333df188c516f0057c5121ffdecebd9b1dd1b89c15c9a522583f1053fc6fe823

Observation 9180f76a-d458-433c-beda-0efaff0b4ad3 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.893432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:d6b9e21574ba8231e3dd478fb30ba152727bfb973f6e399e6cbb54304314f0e8

Observation 053eb436-f9b2-4cf1-abd1-37b8dcc99394 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.895353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:4ade0b46439c44b3def36b62497c2012c6b720842c3d91b50c1d62b511ff4426

Observation 804fd5a8-b840-4821-affb-a2baa1b64c4a · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 60

Resolution
verified exact
doi, observed 2026-05-15T11:40:02.627985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c2072d1db18912d794c9f56a1a25b6ec1782630fdd7d684c15fcbac7773cec3a

Observation dc0b8000-1919-49a8-b7c8-83fa30bfb08e · outbound

This paper cites Silq: A high-level quantum language with safe uncomputation and intuitive semantics.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Silq: A high-level quantum language with safe uncomputation and intuitive semantics

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.633586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:94d47ad4fa1a17acfffdfaa1ba71d4d10d0508b0ee876295aaaa4777306961a0

Observation 8523c4e2-89db-4b50-abff-7502129131c3 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.897251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:df98f0be1de2ca14c645bdacb21513a5ee5200a3ca9a07a2ead53b7a915fbeef

Observation a52e90e2-d914-48a0-9890-6623392ac44d · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.739228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:034ad91c6369057c9e233a85f908fa0047f272451fd962f9d2d48d632ba4efeb

Observation 0e3c4df5-69df-4ed2-a5e3-f00cf5229957 · outbound

This paper cites naturalness.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation naturalness

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:40:02.899148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:b7e77c44c44c1b13235a598d88cd2a4bcb6e6f31f5e7e265e8fa2a3ce02400e8

Observation 28bed488-f0b0-43c9-9da5-f6f4d1b1de8d · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.901008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:255aacf687e8e6e5b10627a1ccca657a79177f3826db42952f70bb712e04270e

Observation 89afc69e-ba51-47f0-b9ee-d543401ff05f · outbound

This paper cites Madhusudan.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Madhusudan

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.609254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ffd94580a0424f0af92c51bba46850ccc0be355147e6343ccadfca898683d9d2

Observation c736a71e-f4a1-4b8f-936e-d2a9158f4362 · outbound

This paper cites Neural Programmer-Interpreters.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Neural Programmer-Interpreters

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.747690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:bce24646b70af2647d205e68b404fbfa436fa3e16bb85d24bebd92f7d6461743

Observation 6c748223-a4a5-4026-982c-d7f6da94ae5d · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.752008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:57283cd14a637cf5fca511c1fb70806132c070b9ec658ac9349eff93af807ac0

Observation 4144bd1a-b10d-4857-a629-6afb0c6702c2 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Neural Machine Translation of Rare Words with Subword Units

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.755583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:dea5d2089e3644c355d032426601a517d7b4bad2443054ace419b8fe9ee6c98b

Observation f0f68899-4bb7-4aa1-826d-54a3e1837503 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.902838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7104d089dbfc0b620f667d768714b57579f898fcc275a59349a25b553dc34d60

Observation 51ba5a9d-adde-4630-b631-419342541edf · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.904590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:8a6676177afa277602530f985c60e7f6e3175701c485414cc9c80a785ef76d06

Observation 652eae0b-cb69-4765-aee1-74100869a446 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.906684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:406970076e6e20dd9dee39f46ad4e56c2dc2eb9cb115e97908c6f1df088fe473

Observation 06ed5d7b-2029-45dd-8588-55ba1a2d5d4c · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Release Strategies and the Social Impacts of Language Models

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-16T16:17:32.011804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5aabd369c45b8ff2d4485133f0620597a280cdc8aebadbfd11ad41593a5bbbb4

Observation ceb2e6ad-082b-4521-8fd7-1a0b17b0fa32 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.908573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:0a86f34ea549a7f0d4c567786d793f817d90b7203af319e3229a57ac7b05001f

Observation 55b80d4d-123b-405a-ae45-d3fcf1c79682 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.910384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:d6df4dfb951f158b336928dea571965c4d364598d0797e9e800f65fa497726e4

Observation c724abb9-337e-40ba-b83e-6baf36c74384 · outbound

This paper cites IntelliCode Compose: Code Generation Using Transformer.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation IntelliCode Compose: Code Generation Using Transformer

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.779585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5a16f33b06331104da62be68736067d40d63697e93aa99ba489dc3a872536600

Observation f9af1124-816b-43fc-ae88-11eb0d20b9ee · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.912231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:5b93f5b1fb3f47ba1f5886ec6e1264c12fe0a91619aa51c6dd2d84d07f112e4b

Observation e561a5d5-d118-4f3b-8d96-ed506f5b98af · outbound

This paper cites Unit Test Case Generation with Transformers and Focal Context.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unit Test Case Generation with Transformers and Focal Context

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.651468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:9ceabc1af5f52233005007bbbbad3fc71208bca4c48ddb886d5e56ad7825ad6b

Observation 065bc6b0-e851-451b-8853-1adf11d2219b · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.914057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:0808977291a4e9fb061b63414450670f76747793c2ca284b57503eec4e3db10a

Observation f4720c52-1e2c-442b-b678-9f4bb469b333 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.782012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:afaab321f6b80d0da6b86b59878a0fbd2141cea77feb6f33244a2962f1e25df0

Observation 38646b0d-f205-480b-999a-66fcb02c0324 · outbound

This paper cites Neural Program Repair by Jointly Learning to Localize and Repair.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Neural Program Repair by Jointly Learning to Localize and Repair

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:40:02.658963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:766338b316f72e57d1be709c2f69c9dd2d4556b9e36b44cef3058ad567e1f3b1

Observation 411902e6-0f67-4426-bab5-aaaa901c5098 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.784904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:84cbd4eafb3bbbe01b9f003741b4b0244bd97457035a3ab2bd93d9078b6d9ded

Observation a50a25a9-aa59-4db2-9123-e1c3d7e147ff · outbound

This paper cites Baghsorkhi, Nalini Vasudevan, and Youfeng Wu.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Baghsorkhi, Nalini Vasudevan, and Youfeng Wu

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.586906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:bdc584ca1ab667cb65f4c3cce6a0a41f7bd76181ec9c3a2508da7f7b0aff93c6

Observation f65503b9-cc4e-4db3-aa23-cdbcb2ed1b30 · outbound

This paper cites Neural Sketch Learning for Conditional Program Generation.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Neural Sketch Learning for Conditional Program Generation

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.668005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:1c114ca357034c90f16250b7e270a704ccbebfbf55c2e79e19139adc140a1932

Observation c0a92f9c-e197-4b8a-8215-9e141e1962d3 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.787696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7005c2bff2530f3565538463b9169bc8d6466ef9e1ff5e3918cda8723baacd15

Observation a9aaba9b-cd73-460c-9bd2-364a56ee8cd7 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.676276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c457c03d55d26af2d66de2d3d1e4d005c423fc55711d69e4f196b15b35872f4e

Observation 210fadca-e6d4-4b3e-8087-021a11e7523c · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.790534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:17b843ed82674040c31d29dc06c103520c16e88e14ebe6a91754ffe12caaa4d4

Observation 7b2bfb6e-385f-4a39-96f1-b77ee2f8fcf2 · outbound

This paper cites Robillard.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Robillard

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.640443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:adc7e3f1634e1f90a0c79287b71ca75fc1c5699b88d72fffc340a480eea774a4

Observation 1b1d4adb-91fb-4f27-9a4e-1672126ce724 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.792944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:f25cfaee4e40327c4cf6ac35f59652aa904baea8da4ee37c6198738f07c8937e

Observation b0531d12-a959-4dd8-9886-d05d1d4861de · outbound

This paper cites TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.735116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:481b2320ede53dfedc4515977463e3ead02c960560c5bf3aff30cef522bc224c

Observation 13fa7869-58c1-4a3b-883f-55ff89988226 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.795266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:69b5bda7a534c65790d87a200d55cea7e92012f7f7fca234ae254cfeec15b925

Observation 005f0c9d-149e-46f3-a7af-c64b55e4feb7 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.797589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e70b55fc81b275c1a4f2e828192484809e868306e710ecdb0a8862e47be04bb3

Observation ce2ce727-78cb-4d20-872e-df7593f8eece · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.800010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:551bf0ede4a7dbb4d253146e368bed8b07886b08dcf9a970a177cd9d6cec5321

Observation cdf2a278-032c-41f2-9023-58d0ad6a9788 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.802301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:84146a9d6f6b2ca0e7e702cf9b6353dced591fb1332290086fdf0c1405aadebf

Observation 28c44a96-816c-470b-b208-3812816d9226 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.804951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:524caab7ab00d7d848178a12106823e4b0086af8f4cec8a2b3409347a63bbfd5

Observation 9b4e8d27-2c13-46d4-8d78-26e46c99c67f · outbound

This paper cites In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE).

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation In 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE)

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:40:02.807591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:3e72c0f696668efdfdf126228b99db727a4310bfafeaf18439e4104f54d121bf

Observation 44dbd26d-5e7f-423e-84ff-8879e8732758 · outbound

This paper cites Incorporating External Knowledge through Pre-training for Natural Language to Code Generation.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Incorporating External Knowledge through Pre-training for Natural Language to Code Generation

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.709789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:2139de42fabdce6187e42ba0a80ec848397d4ff137a8947935f1f2cfd2b1613b

Observation 7386210a-1316-4c44-bcea-c677873f4d1a · outbound

This paper cites In: 2020 IEEE 50 27th International Conference on Software Analysis, Evolution and Reengi- neering (SANER), pp.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation In: 2020 IEEE 50 27th International Conference on Software Analysis, Evolution and Reengi- neering (SANER), pp

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.599752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:e11d91f0bcb91f011184c32d1445d9728e42e417c13f58cb8a8af38c6c788caf

Observation 8d59a775-37de-481a-a164-959df490bc70 · outbound

This paper cites an unresolved cited work.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:40:02.810122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c8449fdf73e899faf1beeec9ab78487e8c56577e4200afa791eb9343d36ef6a3

Observation ef7d844e-b122-4572-bd58-fbe9ae566a05 · outbound

This paper cites MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.718209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:ca84798b10d58c16573b10889f94ddddc435d1ed57bca2cc3ad2f87808d6790c

Pith citing papers

Observation 2e489979-97fa-4142-9d83-99ada4e55941 · inbound

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation cites this paper.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:23:26.272169Z digest=sha256:0dccfefb4d64bcf624eaecf4ca5f1a21495704c89a5c4b67f1ddab462aa0c543

Observation 7a53ef94-3f67-47df-92ed-c82981612337 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T02:04:17.888553Z digest=sha256:d8cd2d8eda4a6734095287c1f21b5499968dbaf6da6bc947365bc9c3b759ed67

Observation 6546ec08-b631-4fc3-8702-e6eede2e32c5 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:6b0038b4b56833d031b9781651e0c35c6a077fe4a9a9ad20ed5ff8c694fe2289

Observation 49181e3f-ef1c-4ba1-a625-4b7c247cc526 · inbound

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems cites this paper.

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:29:52.624476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T22:29:52.457841Z digest=sha256:3b8e24082bcd1fd2ca85a4f64fbc7829f147a683012e9189e481dbc07a58d159

Observation 5b34d62a-3ddf-4485-a52a-1624946809d2 · inbound

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

SWE-bench: Can Language Models Resolve Real-World GitHub Issues? CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T14:02:01.201111Z digest=sha256:e7fc1304445c358ce20b86d8186bd2e8c204d5f404540ee517b7e050e12e75d6

Observation a7148f41-2e1d-47fb-955a-9798a167b58a · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:92acefda240da1532e864a217b9f799a3d53b07c1e70d0054cb259554e25fef3

Observation 8cfe6317-b209-48e0-8fb5-8a4ce3111c79 · inbound

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs cites this paper.

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T02:02:23.056410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:59:18.546405Z digest=sha256:72a1891434796aea5bffe1af1fbdf28f8b57757a196e82a6ad38005901cd53ae

Observation 9b43b858-4b65-4f16-8ac8-21f18e4ef27f · inbound

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG cites this paper.

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T01:42:23.220859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T01:41:25.033971Z digest=sha256:302f4d234285740a5b2d88a91d3f642acac8face8e4e8e9be2ab99a069dd037c

Observation fceb9191-40fd-499f-979c-3ce6d62dbc8b · inbound

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:57:17.028888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T23:55:14.887237Z digest=sha256:b0a55ee5a61da9effc9a0983134ba03b6246de4b482fe535532446d18ff6b63f

Observation 5acc5193-fc88-437f-9303-93da2044f221 · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:01:55.800910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:01:42.228190Z digest=sha256:3f9ad62d841f59e875fa552eeff90d7dd149f77b4b0dee7fb4ae3ee25ba7331d

Observation e98667af-4326-4c1b-8f02-e30e40db6c08 · inbound

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:56:51.844112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T20:54:30.449792Z digest=sha256:712a467ee7940335d6d979e1f0897da2ba4aa9bcdf765b4252d0778fca9342d0

Observation fec3a04c-fc52-45f5-becc-702345156922 · inbound

Design and Implementation of Code Completion System Based on LLM and CodeBERT Hybrid Subsystem cites this paper.

Design and Implementation of Code Completion System Based on LLM and CodeBERT Hybrid Subsystem CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T21:03:19.094618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:03:19.094618Z digest=sha256:4739ea9e22f09b425b71962882344815864eee096bd6a636ddef5ba2584b58e5

Observation 04fc6e03-91b3-4f3f-9052-b6736c1195e8 · inbound

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval cites this paper.

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:44:24.496494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T22:40:50.221193Z digest=sha256:0cf6e3910ca9f1bea50f9aa64877a9908961e807ee9db60b41f4ce5951439aa3

Observation 95d75f38-14af-4474-bed0-e66976bfdf05 · inbound

Multi Language Models for On-the-Fly Syntax Highlighting cites this paper.

Multi Language Models for On-the-Fly Syntax Highlighting CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:36:15.269693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T10:35:53.773668Z digest=sha256:09fdb1055e9e569db3918cdf0021e3431f6f929c952719279e41e30c2d86cfc1

Observation 77405971-2234-45a6-8a4b-d22f572687ef · inbound

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:50:31.760373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T23:45:54.490984Z digest=sha256:63e9973eb727ebc8389723e47fa68db95b64257c5ff01b6c07e14f412a33a24e

Observation 83b98949-5a20-4108-aa21-899431079cef · inbound

Readability-Robust Code Summarization via Meta Curriculum Learning cites this paper.

Readability-Robust Code Summarization via Meta Curriculum Learning CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T11:41:14.699865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:41:14.699865Z digest=sha256:8f1f9af6a709cd1d6b7486e9875d4fee4557a4507174aea8aed126dcb1252304

Observation b56c6f33-98bf-493a-9e98-3784cd262ce8 · inbound

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks cites this paper.

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T09:01:31.041285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:01:31.041285Z digest=sha256:d0da14d4facdd904a572db22c09e1ae9d8c47684b633cabd7cefc1e5e6afb1b8

Observation f379e559-895a-419e-8ea9-2dcf0ee2e3cc · inbound

RubberDuckBench: A Benchmark for AI Coding Assistants cites this paper.

RubberDuckBench: A Benchmark for AI Coding Assistants CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:17:52.009809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T12:16:40.086291Z digest=sha256:bf33fcdd5d486ff7aa3be21431520e378277e77975e517f6692711b9df7688f2

Observation 550acdc5-f431-46ba-b591-7e9cbbd81201 · inbound

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization cites this paper.

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T07:34:21.927888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:34:21.927888Z digest=sha256:db427a301c36995e25f4f1bfb68ab2059767ebf27b06db5648c39aaba32bcba6

Observation 6b948fdd-48c1-4481-b5e4-3975327926a4 · inbound

Procedural Pretraining: Warming Up Language Models with Abstract Data cites this paper.

Procedural Pretraining: Warming Up Language Models with Abstract Data CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T06:55:10.077856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:55:10.077856Z digest=sha256:2faa00ab95b1980262334a70cc8dbe4c48b47e558cde18a809e62d3f0b06e88a

Observation 674d35a6-5982-4aba-8eca-0ebde5b3bcdb · inbound

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code cites this paper.

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T22:09:50.576507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:09:50.576507Z digest=sha256:191ee84b96425ce52dd5682b0a1df9df8326e68d10a8c4ed3dc6f6cabae02b86

Observation 12517bf5-1dc4-4342-a48c-c237f187dca9 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 130

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:50:16.592226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T18:49:01.097179Z digest=sha256:8fe68cfad1f75fd8d6e641756d2f7d0f81135a2f7bebbde69b3c0954e2361e60

Observation 390d85fb-9452-4888-b887-8a087a86cd82 · inbound

Multistage Stochastic Programming for Rare Event Risk Mitigation in Power Systems Management cites this paper.

Multistage Stochastic Programming for Rare Event Risk Mitigation in Power Systems Management CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-15T15:03:20.637041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T15:03:20.637041Z digest=sha256:0c14869c70f028d8006ee8ac7675bdde6cabca33fe6ba4717e296859731eeb03

Observation 31327a6e-03d5-4d8d-bdb5-f086556cb42f · inbound

Story Point Estimation Using Large Language Models cites this paper.

Story Point Estimation Using Large Language Models CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:30:07.580402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T15:27:47.957035Z digest=sha256:31d15b0ea94d941dd3729eedf0dafab2a635c80ccd172ae3ffaa621b915e4298

Observation 96b8c036-7e90-4859-8e25-1ab040a61de5 · inbound

Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation cites this paper.

Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T20:17:21.464699Z digest=sha256:79beb1d9e5471324711e327be6151ff58f2c3f603f28a35db46ce92e6bd02501

Observation feb0fe61-6bc0-4921-98bb-18c55dbf5262 · inbound

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution cites this paper.

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:45:06.682021Z digest=sha256:9134854010ef657753ce5f85380cf1030edff435784236a9283fc72cdd9df16c

Observation 3b428935-2997-40bd-be7f-3b219c89c931 · inbound

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation cites this paper.

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:02:53.996840Z digest=sha256:e45ae183c55e4f09ae56e0d0bb2383435fef512cf4bea51e351497962b700768

Observation 732fbb31-7541-4887-b660-81bddb87ea12 · inbound

RedShell: A Generative AI-Based Approach to Ethical Hacking cites this paper.

RedShell: A Generative AI-Based Approach to Ethical Hacking CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:31:10.196747Z digest=sha256:942504654bf8e9654721716b0cdd6a108f6d49776ca02b3609c78e1708876fc8

Observation 3e85cdec-86bc-419f-a3cf-b8af6ab788be · inbound

Towards Automated Pentesting with Large Language Models cites this paper.

Towards Automated Pentesting with Large Language Models CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:11:06.415227Z digest=sha256:adc3d5d5ced816457ba00afe6b2c5cb658a0150ee8e41fb84e32e46cd9ace6c9

Observation da4f3078-fe4c-4170-a6fc-0f99123b1842 · inbound

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks cites this paper.

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:56:03.196091Z digest=sha256:b18bf3788385ed491c11f5f6b39ec3b987dc5544c59aa750a24af3c7408d9dfb

Observation ff0c387a-07a0-4447-97f0-e7fb3ad3600d · inbound

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions cites this paper.

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T02:52:55.120013Z digest=sha256:6c8f135dbd12e7696d25bb212bd6cecde188fe618dd3c6a1fd766a366576b6b0

Observation 3b65a1ac-df45-4f7e-94de-925f165b4d99 · inbound

SWE-QA: A Dataset and Benchmark for Complex Code Understanding cites this paper.

SWE-QA: A Dataset and Benchmark for Complex Code Understanding CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T03:24:44.245755Z digest=sha256:38786f1caf0f05da141650462e97cb913950e0131eb3fc9015cea3d60a2807d0

Observation c0186800-8cf8-4d9a-b9f3-d0a02695bca5 · inbound

Large Language Models for Multilingual Code Intelligence: A Survey cites this paper.

Large Language Models for Multilingual Code Intelligence: A Survey CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T02:44:49.361522Z digest=sha256:43b7655b9025882bb5c5b3c083d628e26807858b915aee0dcfb6323dafb386fe

Observation 2d15a270-0a68-40a5-8367-0057fc20a974 · inbound

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection cites this paper.

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:30:01.879002Z digest=sha256:bdc642e63e42d7839e6b125e6cf9faa9d81154b9be2d9ac1f04552171c65d4ff

Observation a2b97c57-f7ac-440b-bbde-f889d5b7576b · inbound

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates cites this paper.

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:33:21.671482Z digest=sha256:1bc64ecc1456f76c4e3bb70ab1f3100191b952a2b15159491fb17a7a7ae556f1

Observation 7ac5bcf2-0917-4931-ac7d-c9609d1eedc7 · inbound

gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy cites this paper.

gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T02:14:48.091245Z digest=sha256:6ec7636e7019ee9eea146821d6a6073ac6e8ceabede1eb319f52037c805dc2a7

Observation ebc91634-2486-4b98-a8df-cb15f5eba04f · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:18:05.384433Z digest=sha256:08e6c4e390008db65719132f8a98ff86885da8571a4d5fc0b23ea0d908e619f0

Observation 9b602930-3d99-42c8-a10c-8b1801a4df6f · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T05:12:32.611345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:12:32.611345Z digest=sha256:12fbd663a1a1b7bdc5574733531db3d3b23c50341351a14a587007a6146b78b4

Observation 009ffbad-0ad5-45af-959c-ac0c0400f2fe · inbound

Neural Code Translation of Legacy Code: APL to C# cites this paper.

Neural Code Translation of Legacy Code: APL to C# CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T05:25:16.024670Z digest=sha256:4bec6e03fa49cb97c1f9410f6cd4c520225079aa4a60ae9d9f87a0042bce40b0

Observation 3882503b-c018-4c15-925c-a101d6feaddf · inbound

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks cites this paper.

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:02.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:52:53.116772Z digest=sha256:e90369529c14ab300ec1506df04ea69a6155ba4305778f0ab753593b85d5fe5e

Observation f79b7f0c-a583-45b6-a3ca-3f07f9eacfe7 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 219

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:38:21.793567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T14:33:36.100966Z digest=sha256:1607eff17b30e4aa49050c96f356fbcaa6bef933a692f3cf134e5f7edf896f22

Observation 086c5b8f-e20f-407d-bd4a-585640bbf872 · inbound

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks cites this paper.

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.957683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T15:11:27.420642Z digest=sha256:dc686bf8d0ff50f64e96e9e4752e86ab669a7b9104f6bac06f4c4a65745f9fe6

Observation 7163691d-766c-41cf-b5b1-416da8c28113 · inbound

On-the-Fly Input Adaptation for Reliable Code Intelligence cites this paper.

On-the-Fly Input Adaptation for Reliable Code Intelligence CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:03:03.802729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T04:58:36.163866Z digest=sha256:552d20133d269cebd9c9e0f6821209e4dcf6030da3440dff6110fadef587f010

Observation 0a4b04a3-f1ab-43e6-8c2d-24813fa8bb2f · inbound

When to Answer and When to Defer: A Decision Framework for Reliable Code Predictions cites this paper.

When to Answer and When to Defer: A Decision Framework for Reliable Code Predictions CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-20T04:58:05.275848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T04:53:51.761561Z digest=sha256:72adafb3a795aedb8782056a0067dd741382cff5a85b7bf665ad6b16365f26fc

Observation d173fa7c-f359-4943-9542-5a525f1f61ba · inbound

BioDefect: The First Dataset for Defect Detection in Bioinformatics Software cites this paper.

BioDefect: The First Dataset for Defect Detection in Bioinformatics Software CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:13:56.714671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T04:11:16.231567Z digest=sha256:7b00d916915ab2833870d0ce3f710f46d5d54b7f98329a36fc6653f700e9bf21

Observation b464ac60-e2af-4d65-9a11-b0c9d4a752b4 · inbound

On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus cites this paper.

On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T17:47:18.166203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T21:50:53.959435Z digest=sha256:2ed2c44ecfcd7590db89d07148fecfb51b8130ce01f9fbc95b727a0ab6ed58ea

Observation d89c4e13-00d8-4de8-ab68-24bbd6c2131a · inbound

Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks cites this paper.

Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-02T23:47:27.340510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:00:58.780753Z digest=sha256:3849307a23a5a99b8aa9b099a32b14ae7f7ddaf5c9728fc3ee09c0c1643d28e7

Observation 08cec73f-a9d0-4550-8384-e306d951ded9 · inbound

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs cites this paper.

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T23:17:29.746385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:19:26.108492Z digest=sha256:f3c4e7c874b58a2efeae5e0f6115b3ab1c7e9b07e2830ee3f12a2357a3b9c441

Observation 1230d8a8-4d15-4d5b-aec0-6f601f57139e · inbound

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding cites this paper.

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:08:08.882041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T08:25:21.920123Z digest=sha256:301f0eb8d821ecc2916137f34588667c97961eb265f16d278b84fd8554e23ca5

Observation d95fd609-8ec3-4df2-b03e-b6906bee1eed · inbound

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding cites this paper.

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T18:04:14.218725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:04:14.218725Z digest=sha256:eb2afff9c3901c070d19d4dccb6beda6a5e7ac636c3598c7ae119a72125174b6

Observation 1b5212e1-9ba3-441a-9747-02724c538f8d · inbound

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software cites this paper.

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:29:35.037938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T16:59:07.712294Z digest=sha256:f1b64918ce510984fe3985d8c459f2a9598a1a47840796a8f7b6ef742807d53d

Observation ca282ecb-eb27-4f07-b855-213de5644316 · inbound

Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages cites this paper.

Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:49:29.984505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T17:39:27.723253Z digest=sha256:9ffd4e9f54dd738cf862d50686757fc228efad39c1bf2039ac94ffeac9e3f695

Observation 71eb05d1-dede-40f5-b4af-d80fa7092d13 · inbound

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning cites this paper.

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-06-29T04:13:04.918347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:10:16.314596Z digest=sha256:200b837f6e9aaa99029f608ae67453c1a46a8c3640a462d0ccb24ef8e8bc77bb

Observation 82d7a14a-40f0-4a5d-bf6b-074399418d5f · inbound

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study cites this paper.

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.822867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T09:07:01.783340Z digest=sha256:50c70de1383d326e5516438e15fef8ec54fe38633175c2c85a55ba4dc3d6e35d

Observation 5a80c6bc-b132-4ab7-a74a-b0ce8ec2c7b6 · inbound

An Exploratory Study on LLM-Generated Code and Comments in Code Repositories cites this paper.

An Exploratory Study on LLM-Generated Code and Comments in Code Repositories CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-03T09:17:48.252021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T09:10:26.900479Z digest=sha256:c8798ce6aa78dcad093bf7a9691831d6a9b6ebd3675691528dfd9c89f2399b3e

Observation 286f327e-385f-4d7c-ae87-818d79133467 · inbound

Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents cites this paper.

Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T22:40:37.839133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:40:37.839133Z digest=sha256:00c059f6b1ab7ecc878c4d8c34ece81f7da3422652fdd3f262e84e7d953705d3

Observation 297d5a61-f2b6-44d8-b3e6-ff7019c41760 · inbound

Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents cites this paper.

Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T07:01:49.222325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:01:49.222325Z digest=sha256:5ec1cce209445c3c43e270fcf253bf6b83da8d6a557ef10e15c6bf32262c79ad

Observation 402f514a-9b11-4f1a-b7e2-b7c1bf2849be · inbound

Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark cites this paper.

Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T01:27:11.300710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:27:11.300710Z digest=sha256:baee9edb5a7b5c3c46681c3c8d5b91da60d663b574a531e97783a1588d010da9

Observation 40409046-4dd3-4ea5-aa51-91455ed90d41 · inbound

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis cites this paper.

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-08T23:05:44.228434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T23:00:45.841744Z digest=sha256:ad4137354bbdcce97e163ed65c45287ccba28dd00b4b8ba608750ca63798e718

Observation 81d87a81-46a6-4310-99b0-fa3f46a4f90f · inbound

Large Language Models Have Unreliable Understanding of Software Engineering Terminology cites this paper.

Large Language Models Have Unreliable Understanding of Software Engineering Terminology CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-08T20:25:37.268487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T20:22:54.983733Z digest=sha256:439262d32d4ee1b74505a1d2219b65d4c542230e62fff308aa09d46acc332739

Observation 43215266-c4ba-4c21-a610-47d35b90e260 · inbound

Why Not Fix It Once and for All? An Empirical Study of Multiple Patches for Vulnerability Fixes in Open-Source Software cites this paper.

Why Not Fix It Once and for All? An Empirical Study of Multiple Patches for Vulnerability Fixes in Open-Source Software CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T05:56:30.329813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:56:30.329813Z digest=sha256:d23b4ca91b53b6a17202455a6b448d9d2116a806bd719fd42dd28372484ebb4d

Observation 22e67c24-358d-4c8a-ae75-8a88a2115072 · inbound

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension cites this paper.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T21:52:47.395887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:52:47.395887Z digest=sha256:ea8d94bb3d6f0d589d0eafae12ba547afeb47f581b61def6bac7d736f22c1d2e

Observation 75ff0ab2-cc69-4630-aed8-0a8d4ae196d1 · inbound

Dependency-Guided Code Generation: Structured Matrix Decomposition and Consistency-Guided Refinement cites this paper.

Dependency-Guided Code Generation: Structured Matrix Decomposition and Consistency-Guided Refinement CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T20:16:56.260180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:16:56.260180Z digest=sha256:3726a5dea0210f1f7db3eeff0b61a4dfeb56ce1a9a5d3a32948cb02296528f0b

Observation 7cc118d7-4a4d-4fed-95c0-4fd70be67326 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T17:31:48.160955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:31:48.160955Z digest=sha256:bf4fbf7b2601bda7f14a9a69f7c2c2cbd3d09bacd21160403156d5a63dd0f3f0

Observation 9fb3a808-6dc0-4b5d-9a08-8c40b4ec61e9 · inbound

FindStatBench: Evaluating Large Language Models on Combinatorial Code Synthesis cites this paper.

FindStatBench: Evaluating Large Language Models on Combinatorial Code Synthesis CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T13:53:03.229863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:53:03.229863Z digest=sha256:aa0100be61f1eedce0410a05e7447a7517d654642e342b5026ef7cfffa7a94a0

Observation 1f84ad4d-9387-49f0-a8b4-6d209a1a6788 · inbound

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs cites this paper.

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T23:43:44.482673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:43:44.482673Z digest=sha256:0e02442b3d132366cf0375e07aba795bf9d0d6bab842549130d54030612df7de