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Paper Citation Record · LEDGER

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 7 inbound Pith citation observations for arXiv:2501.19085.

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

pith.paper-citation-record.v1
2501.19085 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:27:43.086565Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:22.987720Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:57:34.124979Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved13
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ce0017a-9e82-4088-8d86-4ab8a5521d18 · outbound

This paper cites GitHub Copilot – Y our AI pair programmer,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet GitHub Copilot – Y our AI pair programmer,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.718428Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.948349Z digest=sha256:c5528f0e2b69b022b6090065c4ecd21231cac6a9f50342631aa1f581f1fb7940

Observation 122190fa-3d43-4b80-b820-b2bb765c2548 · outbound

This paper cites Knowledge transfer from high-resource to low-resource pr ogramming languages for code llms,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Knowledge transfer from high-resource to low-resource pr ogramming languages for code llms,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.706128Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.952863Z digest=sha256:c44ce5adf6d4dc614eb12049730d99a07b874591a3425114c98370064ed1356e

Observation 8563fcd3-bbef-4309-895a-92853183b74c · outbound

This paper cites On the transferab ility of pre- trained language models for low-resource programming lang uages,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet On the transferab ility of pre- trained language models for low-resource programming lang uages,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.694537Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.956713Z digest=sha256:2b4f96ef5b6edfa86d145665dacb55f39211f9bee9573af1c48290d1c5b00815

Observation be0aa5c5-f394-4aec-a032-3cdb0b6b364a · outbound

This paper cites Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-09T21:27:43.464730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.960884Z digest=sha256:90161407a3f724b48e932d5238830599832e4964cea33d7dd184845ac06bee93

Observation 64f977d0-62c5-40b9-9d12-aeb0f03ceb2d · outbound

This paper cites Multi-lingual evaluat ion of code generation models,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Multi-lingual evaluat ion of code generation models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.683072Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.965315Z digest=sha256:3fdb44faac44038273fa2f15e265dabb008dc77bb1291d5c77c43fb8e7eafc95

Observation 2042abe2-f7fe-47c2-a931-7b5b968e60b8 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:42.969364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:42.969364Z digest=sha256:1ba81b316ccbfa4d33f1ddf4a7ba126aa16833802da8e67a64b4f92e9a623bd2

Observation 689cd669-96de-491b-aa65-6258abb98daf · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Code Llama: Open Foundation Models for Code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:42.974047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:42.974047Z digest=sha256:8b03feb30f92e77c2571ca4b38857349704f6e8cccaa4719e3d33254867ae3e4

Observation bddad9b6-6a4c-46fb-a228-e4113fb2b4a7 · outbound

This paper cites Measuring the impact of program- ming language distribution,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Measuring the impact of program- ming language distribution,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.670956Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.978114Z digest=sha256:5167c2bf128c53d02e1b3875c2e670ec703c5d30de515ae46df7b42e90cc5596

Observation 62b0c4fb-ac8d-400b-9a72-313b68a71298 · outbound

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

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:42.981938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:42.981938Z digest=sha256:824b335f07c5f478bdbfe2b7ba3ac5c74e23284b8c196ada44954fe6f3368d4c

Observation 08b2802a-0a62-4799-b9b4-950708d7fdca · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Codegen: An open large language model for code with multi-turn program synthesis,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.659154Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.986101Z digest=sha256:c765973be5f41354d6f934e82b9006c7c5cda9e691a0ae4e6b5bf30ba543f701

Observation 9fa32832-10a6-4a68-a252-95b9ea7d3119 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Palm: Scaling language modeling with pathways,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.639863Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.993531Z digest=sha256:8232a2abe1cdd0b42e728af5e902442587a7bd4f2ed97a64b8e66bb85ddb7556

Observation 0eae2cd0-562b-4de5-b0aa-ede94d7f6753 · outbound

This paper cites Codet5+: Open code large language models for code understa nding and generation,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Codet5+: Open code large language models for code understa nding and generation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.629247Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:42.997089Z digest=sha256:25f1c85c899ec559ac174aa5cac9a12f066dbe66a2f05dc3c402f54df6e47e1d

Observation f140dd8c-702f-4325-9cbe-7d254a0f9ccc · outbound

This paper cites Starcoder: may the source be with you!.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Starcoder: may the source be with you!

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.618189Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.000643Z digest=sha256:2f374ec0cab5c25c3fbd780b64bb649f0ddd482ac1accd53a44671adc820928f

Observation 82a977fe-d604-4726-b3cc-8a770438331f · outbound

This paper cites GPT-4 Technical Report.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet GPT-4 Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.004094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.004094Z digest=sha256:6b881e2f77e6b72fd84bc4df6dadfbb61038e1715faddb02e84b94328fb2ad26

Observation d3af82f2-275e-4b43-95be-e2e6a4489129 · outbound

This paper cites Wizardcoder: Empowering code la rge language models with evol-instruct,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Wizardcoder: Empowering code la rge language models with evol-instruct,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.607389Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.008099Z digest=sha256:fc2b500445b3dae3330a2bef3c459728536923275aea833712d869528064ba5f

Observation 561daa3f-163d-4f20-9605-92e1c46b7e90 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Evaluating Large Language Models Trained on Code

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.011647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.011647Z digest=sha256:b6dcb72dd995cdd61be5566b2d6587495787bbcb4f58ebd884b0044f74eb9c44

Observation e325ab2f-4b60-4d4a-884e-4e13caa0374f · outbound

This paper cites Program Synthesis with Large Language Models.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Program Synthesis with Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.015493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.015493Z digest=sha256:617f279c226605224c3964ad0eed585d1cd57061f94a6fb31b9db5d226055423

Observation f3495dad-e55f-4a5a-b92e-80427ca3dbff · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.019170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.019170Z digest=sha256:400094d9409c654a2f159d220171614cf69f0e8955c25213ff1bebbc7144466d

Observation 08e34744-db11-4e7c-8d8c-27a94d47c129 · outbound

This paper cites Multipl-e: a scalable and polyglot approach to benchmarki ng neural code generation,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Multipl-e: a scalable and polyglot approach to benchmarki ng neural code generation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.596826Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.023171Z digest=sha256:6c2e7a4bd9cc213c7d3bdfb8be8e52aa419cb1febe1c168ca78b2476cf5a8352

Observation 57bad37e-f21c-4928-9ffb-99caf8eaf1c0 · outbound

This paper cites Is your code gene rated by chatgpt really correct? rigorous evaluation of large langu age models for code generation,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Is your code gene rated by chatgpt really correct? rigorous evaluation of large langu age models for code generation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.585495Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.026779Z digest=sha256:03bb5668782d423074f6cabf2cc547271d298bc8e128eb57ba3b4555188b9719

Observation 6abc22f9-ed07-4202-ad7b-3ce52b47e443 · outbound

This paper cites Multilingual training for s oftware engineering,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Multilingual training for s oftware engineering,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.573989Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.030475Z digest=sha256:50a3c8a0f30cd07425ccb50fcf258064d9a47330c40a6c4f5c538474619300e4

Observation 8a13a9f8-5fec-49b4-ad5f-cdef69b2f51e · outbound

This paper cites A survey on llm-based co de generation for low-resource and domain-specific programming language s,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet A survey on llm-based co de generation for low-resource and domain-specific programming language s,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.033976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.033976Z digest=sha256:a46d7e05cca67c9b2ae79f730d897ee2c19894e81b8b5461bb701602f5ef25c0

Observation fb748c1b-023c-4030-aa7f-e26616ddb84c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.037310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.037310Z digest=sha256:5e4f7b16f9618cefab4eff4398be8697142f815ad0272b0d892b3e4ed95aecdf

Observation dd953756-7f49-4820-9d0f-0eb5644de3c3 · outbound

This paper cites Codex website,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Codex website,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.561552Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.041150Z digest=sha256:badbb00aadc694ba801f88f263ab4000317b1c5e22f2db51d611a26ab9a90fc4

Observation 6de86167-69f4-4f77-a88f-ecfedabbcc3a · outbound

This paper cites Note on the sampling error of the differenc e between correlated proportions or percentages,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Note on the sampling error of the differenc e between correlated proportions or percentages,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.550205Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.044797Z digest=sha256:794d7b14bd8e4038b268a4df04cae1485b78c18cdd8de5fe7cf4037b2b82e0ec

Observation f39fb5e3-e8e6-4104-8630-26197f4e4315 · outbound

This paper cites Controlling the false discovery r ate: A practical and powerful approach to multiple testing,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Controlling the false discovery r ate: A practical and powerful approach to multiple testing,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.538878Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.048218Z digest=sha256:f78a048297429c62173e9c6901d10319ffe925567eb45cbf27b08ee70127713e

Observation a13e5dca-614d-421c-a28e-18355d8abbdf · outbound

This paper cites Replication package,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Replication package,

Reference 27

Resolution
malformed identifier
no resolver link, observed 2026-08-09T21:27:43.052194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.052194Z digest=sha256:419997ba7f8c8e29acb809612a4f8becc4624f393e31aa10233c152dfefe25d2

Observation 94723e90-c967-4e65-8d6d-9460813d7faa · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet The Stack: 3 TB of permissively licensed source code

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.056113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.056113Z digest=sha256:0795a30dde788cf408e6d727a1c971874e3014bebc7304ce43439d2e593a2a43

Observation 6d2baa00-7a69-4362-b7d8-d630ab3735cf · outbound

This paper cites PEGASUS: pre- training with extracted gap-sentences for abstractive summarizati on,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet PEGASUS: pre- training with extracted gap-sentences for abstractive summarizati on,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.526656Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.060066Z digest=sha256:efd59aa56188a2fcaa86e887bfbf1a85aadfb991c22c79c48f57f838f46b82b1

Observation cfaffc65-49fd-434a-8bf1-7aa7617e6824 · outbound

This paper cites Decoupled weight decay re gularization,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Decoupled weight decay re gularization,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.513908Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.063708Z digest=sha256:d88edda424925b729ce443851ee1c4b991f3cf9ba45674208e82dfa517b211f9

Observation 033d7181-dbff-4ad6-8000-ea8e68071e0b · outbound

This paper cites D programming language,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet D programming language,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.501175Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.067416Z digest=sha256:59379affb48e5d7a2c4fb1edd2c2abba9c71a85f9fd8e5e1a3f1139660b46fbc

Observation e7ffcdb4-f693-4495-811b-0231cf922a90 · outbound

This paper cites Haskell language,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Haskell language,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.489430Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.070825Z digest=sha256:dab9096c90d11a549f9377b39822ab8d9f280b0073dedbf67e71a1a2c1ccb445

Observation fd6da00a-00aa-4e58-878d-8e2223dc6a67 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.074385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.074385Z digest=sha256:39f856265b7675e4733e324167aa56989433822563708d84ca0d22ebb3e909c5

Observation 92a89254-2d55-4848-92d7-65d05158677c · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet CodeGemma: Open Code Models Based on Gemma

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.078362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.078362Z digest=sha256:a5de013056112551669cee7a41971f7ce56b9131b83d5aebb2d6a90761e94d06

Observation f5a33de0-76e0-467a-9998-edcf726c414e · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T21:27:43.082556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.082556Z digest=sha256:36b8e094ec5fd82fd05d404ed85b193a7c75b606093fdc39dadfe3e78c81b00b

Observation b20007f5-3897-467e-b5fc-a4261e4d6540 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Chain-of-thought prompting elicits reasoning in large language models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:27:43.477634Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T21:27:43.086565Z digest=sha256:4778a754c691e42ee549f0d7267c931736e5d2d706f93aa401ddec8fb12da4db

Observation 8899c5c9-c7f7-4d64-86b7-31c58212e734 · outbound

This paper cites an unresolved cited work.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet Unresolved cited work

Reference 2023

Resolution
parse uncertain
no resolver link, observed 2026-08-09T21:27:42.989727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:42.989727Z digest=sha256:4b8b0487e712d18cf572fd2ef3ec5dfeb555da6d02cba2f5cd974b0d6edcefaf

Pith citing papers

Observation 652f078c-d143-4ac7-9c02-a8308f01a758 · inbound

LLM-based Property-based Test Generation for Guardrailing Cyber-Physical Systems cites this paper.

LLM-based Property-based Test Generation for Guardrailing Cyber-Physical Systems Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:22.987720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:22.987720Z digest=sha256:380363c2f3dc2fa24ed152619ba96a344fb11a82f0abd70a620f5aaaa3fa544b

Observation 58d79102-edb3-4538-b2b8-9d3d5835159c · inbound

CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer cites this paper.

CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T13:26:49.073666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:26:49.073666Z digest=sha256:8e6586dc850342077d60e1b4aade05cc2ec2c5cb14fd6f78928a527e93d3bf0a

Observation 54b98e4d-f51e-4a8c-9761-c0778b7baabe · inbound

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:38:57.960746Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-17T03:38:40.078229Z digest=sha256:810b6ce55a4c60e2a6d5b244300a35459321944c380afcb1baf21296bdfd3d68

Observation 84365819-21b4-4d06-835e-ab0d9076d00a · inbound

Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification cites this paper.

Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:51:46.289968Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T06:47:55.926034Z digest=sha256:f8760a487b14886b0f39ec749b8148c3dfd9c9609883eaf3d4ca619aae6cde3b

Observation 2e2da02b-c104-4aa1-9aad-491959d25797 · inbound

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

Large Language Models for Multilingual Code Intelligence: A Survey Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:15.033121Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T02:44:49.361522Z digest=sha256:b2b1abf35275cb57b66bbbadc014bcf67a565ac437803faf52bda38b18e1f2e1

Observation 4d7c8950-1bef-455b-9a65-c149fb8b9798 · inbound

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation cites this paper.

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:57:34.126205Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-10T19:48:27.137130Z digest=sha256:008429f6b32716e719bfe20dff156e38b50a07523fe7322383122f6974dbdc24

Observation 8982d310-525c-4911-8f46-78ead7ecf86d · inbound

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization cites this paper.

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T10:07:55.408331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:07:55.408331Z digest=sha256:125fa3aee485660243247b61b67ff689ee6f01590e3a1f10c94a42d9d2167f9b