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Paper Citation Record · LEDGER

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.12620.

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

pith.paper-citation-record.v1
2508.12620 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:46.428931Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved31
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92a79293-b156-48d7-ad17-2859f7dfe1c2 · outbound

This paper cites IEEEtran_HOWTO.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning IEEEtran_HOWTO

Reference 1

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T17:22:48.126026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.059838Z digest=sha256:d018e84709dee7f64c9a366d9160578dfa7e24616455acedfd6637d367778db0

Observation 6f5e3777-60e8-46e3-9e4c-c7cb8a1fe512 · outbound

This paper cites 3C6!*S EcN62Z Yyz Zӷ >[:CH., ϳY kfBr6 z=kc §?SJ!̵ mInjlC̻Y[cbz[HkR d.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning 3C6!*S EcN62Z Yyz Zӷ >[:CH., ϳY kfBr6 z=kc §?SJ!̵ mInjlC̻Y[cbz[HkR d

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-15T17:22:46.069483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.069483Z digest=sha256:fc7b03766f54a3be0c999c8075be1340100f621ff5e1367425693773cafaf431

Observation f198ae45-a4d1-43c2-a308-4c0d832a9260 · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.092161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.092161Z digest=sha256:9829e1f13ff8a1cc81c223f0a87d33b661fa600e1c3b130e35586a4c6e45c654

Observation 15fc3831-d191-4af3-8a35-5d2dca05e01a · outbound

This paper cites Sch \"a fer, S.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Sch \"a fer, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:48.088043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.099687Z digest=sha256:93bc36bfe12cc1319f221677c1e5a5e5473f0a1825ad32e89fc3f5a70ab82203

Observation 05cc318b-dcca-4313-b88e-6b6475c45eab · outbound

This paper cites Jiang, K.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Jiang, K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:48.047557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.107858Z digest=sha256:7eb808651d5773598a61dbd2bbf914946d47a7af70243f35e5f61dbfcb7dec66

Observation 92e5f50c-caf5-4d62-8ed1-f9fdf5ac2d06 · outbound

This paper cites Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.127711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.127711Z digest=sha256:4c8d3c81141a5b4f0451ffc691c87104151ab664a19b42ace1d6457360bfb826

Observation c079ae56-1264-4510-b207-d90468049f90 · outbound

This paper cites Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates

Reference 8

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unresolved
no resolver link, observed 2026-08-15T17:22:46.133788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.133788Z digest=sha256:a2fa6029f852aa709f16dd168b9774f8c84dc06ae9a48278c215d10b0bc10ccb

Observation 2df860b9-ab81-4cd5-8d8c-39986104e882 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:48.017417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.146873Z digest=sha256:67f2f817c420ae88a3399ad1d4b9df48124a2a41a5bdd95fb711760188eb6fe0

Observation 49851368-67b7-4242-acc8-7ecfb1b41fa1 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.987218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.154960Z digest=sha256:d2fca1cfec7423a7909aa18217139544b3c646b6c40d858be08b73f54eabe3be

Observation 36ebd544-7405-49af-baf3-517655fcb056 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.950538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.163909Z digest=sha256:3928462fbdcbd914d9b6ec17ac7a3694446322bd50d652383c6eeb7a21c577b5

Observation 9696ea8d-e8bc-43d0-b16e-cf12790b0b7f · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.928480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.174125Z digest=sha256:0cec9081474344fbb56e3e0d0ebfdf57ebf4a035cc00b2cbc794718f3afa8baa

Observation 5c946330-f893-44c3-b45a-922da3d506d1 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.909702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.186123Z digest=sha256:bb043048582d085d601174213925a0e4cde3a63d0486ae74c36220b54d62e3ba

Observation b53af556-5c94-408d-99a2-ab1577236383 · outbound

This paper cites Nilsson-Nyman, G.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Nilsson-Nyman, G

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.882544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.195916Z digest=sha256:966ef3d24d4d4cd75a30b2e3711a1f01a083516c17d6fd946723706a951e3ec8

Observation 6f0d8b05-b306-4c00-9c56-1b599b492dde · outbound

This paper cites Lin and K.-C.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Lin and K.-C

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.851222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.205034Z digest=sha256:a89a8f09e7720c5437f3cf31b7e5913acabe976ba8e67ee65bc023cab912edd5

Observation d0bb8ab0-0a38-41bf-a866-917b80767398 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.820839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.211155Z digest=sha256:5307af6c3d2261d5b5cbe134919a074a3522bd869de75e03912a8d9a67aca4f8

Observation a8c5085f-49ed-40b1-804d-577a0942437e · outbound

This paper cites Allamanis, E.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Allamanis, E

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.773334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.218252Z digest=sha256:f87d3eeb67ec424fb04e12d7ebc2797e38c528c1cc0b01d36f4118b68de911ed

Observation 22c9c5d7-7aeb-4581-8342-df4ba7aa8ec8 · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning A Survey on Large Language Models for Code Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.229817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.229817Z digest=sha256:32f307e98a3852a12db71d3635f8d72ecaea9f16fac5fa289ccc5441522ee6d4

Observation 8c12b5ab-b4f5-422a-9985-251d6c48d4f3 · outbound

This paper cites Verma, V.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Verma, V

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.731405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.241469Z digest=sha256:af680a30d98a68d2e8fabe77c81952e74a3a1be9299aa094cfbbd3bbe8e596aa

Observation dbb9cd9f-3379-484c-b18f-419ed2e37342 · outbound

This paper cites Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.248438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.248438Z digest=sha256:01ce9f59672b04c021e40b11bb5c0bf625ff5e5ab8a2106e3e47d7afa3571fd2

Observation b4cad09a-65ce-4132-b29e-d8e3ee1ec22d · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.711173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.255587Z digest=sha256:31f8ccacf4e65c029e6d5f91db14a993e02938edcf1c93d3b0ed479b2dda7aa7

Observation 29aa3c01-1e14-42d8-ba83-bb3c704b1056 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.270414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.270414Z digest=sha256:bf6e19ea59839dd0dc7dde6395f41af332caccb76600fba7ed582ae205180d71

Observation dbc9bf2e-af4b-4341-a7d5-8a1065beca56 · outbound

This paper cites SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.281638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.281638Z digest=sha256:a43c88cb21c585f388eee435ff336e35f75b7b7e8e84c620b9507f4f4f9318df

Observation e0a72419-d8d4-4eec-96cb-2a6fe0026cb3 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.688904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.294447Z digest=sha256:87ff3d1751c324fc661158b1c9afc266a3385bfb36930f136f11a02940f9ca95

Observation 634fdc06-d7f5-47fc-9a32-b602d598dd97 · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.300575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.300575Z digest=sha256:adbcf89e01d0c674d8c72f29519ef104f4a957954ed1c35ea2c5ca31451f7c97

Observation 84e7ddc0-c3b9-4643-a551-9634188fb227 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.661984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.307132Z digest=sha256:46e2c6a67cb56d1d53e1c9da54ec0124689b62d0aff01ef758a263e196aa2d77

Observation 1f8deefc-5178-4f9b-a489-1d9a3e443fbc · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.635099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.313583Z digest=sha256:6bdc46a456c2ebb64f0294989732ed5be590ce3802cbe914f2fac2bb85b91861

Observation c37eaaf2-726f-4b45-a378-64106157f8c2 · outbound

This paper cites Touvron, T.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Touvron, T

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.612823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.321995Z digest=sha256:4e60ee558ea509ec6d9225a3e85ce35cfadf287e1d2fd3a5da30ed154d92990c

Observation e7812c3f-9b70-4f24-bbd4-13706839434e · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning StarCoder: may the source be with you!

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.327472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.327472Z digest=sha256:cef50f3435e7191dbefb24f44160659c2aff90b81ba49ce97232a5c2d8ad801d

Observation d567c8aa-dca6-47bd-bff8-fb3567123e8d · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Code Llama: Open Foundation Models for Code

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.334126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.334126Z digest=sha256:339f37b4ede0d450d750d7d50ec25296ef58171c3c054cc17465a4ae4b2d9d86

Observation e6f3f1f0-4b1f-425d-b0a4-d73a2131395c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Evaluating Large Language Models Trained on Code

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.339905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.339905Z digest=sha256:ea8987249ecf5b53a2e837920fefb792e5dc6502f4c6216fa3674650abc972e0

Observation 02f043de-0cea-455c-83db-51c84e3549b4 · outbound

This paper cites Austin, A.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Austin, A

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:22:47.582195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.346435Z digest=sha256:9b238fcdc6eec77aeb17ee11b670f99c1aef038dbfccb61da22599354a79b8e7

Observation 71ab4933-28d6-4c72-bdcf-23e5205c7cb5 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:22:47.551286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T17:22:46.352519Z digest=sha256:cde7892b588ba709c58003c2dfae72c58745a8fcbac45d09cbfe640cd37272df

Observation 305c0b58-339d-441f-8ac3-64deb95a2bbc · outbound

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

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.362958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.362958Z digest=sha256:89a45bfaedf6ee856615bedc47212ecd2db5a22c847b696c6a40fb763c3518dc

Observation 4053a3dd-ca5d-4158-86f9-d7d853d130e0 · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.368401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.368401Z digest=sha256:5c60d4c4eb554a5f74c5b3403952ff5b10d5b2d09a97873add85be1e2070afdd

Observation 9fd55872-ee0f-460a-92eb-b6854d95d7a0 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Magicoder: Empowering Code Generation with OSS-Instruct

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.378159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.378159Z digest=sha256:6330322372391b176dfc6e4456d5230e9a7966afa3295a8ecc8844bdb16fb158

Observation 50e459e5-c61b-4047-a07a-626766240638 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.385848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.385848Z digest=sha256:de26d03d7fb270649a3afbe21fb6d729f452cb2dde62ac70039bb0d9ce0d4067

Observation 9fae813f-c92c-403d-8688-fed40f73b9eb · outbound

This paper cites Source Code Data Augmentation for Deep Learning: A Survey.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Source Code Data Augmentation for Deep Learning: A Survey

Reference 38

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no resolver link, observed 2026-08-15T17:22:46.395594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:22:46.395594Z digest=sha256:07c9b7409fc8030673dd5325a7337b905bb362a5cca9b24e799cd7c9c554fcef

Observation 63801d29-9ffa-4c11-aadd-cd09dfffaf68 · outbound

This paper cites Allamanis, H.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Allamanis, H

Reference 39

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verified fuzzy
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e4f3ba1c-6252-4877-a023-ab2d60859606 · outbound

This paper cites Jain et al., ``Compiler-based data augmentation for code models,'' in Proceedings of the ACM/IEEE International Conference on Software Engineering, 2021.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Jain et al., ``Compiler-based data augmentation for code models,'' in Proceedings of the ACM/IEEE International Conference on Software Engineering, 2021

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d891c2f6-45a3-4557-af28-e8368704f7e3 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 41

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 58788e07-0c02-4fc0-bc19-a63257ec5689 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 42

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 577e313e-9e2d-4efc-9adf-33a2eecc9cee · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 43

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 49e0bdcf-a5c2-41e3-a026-42b374e2a710 · outbound

This paper cites an unresolved cited work.

Improving Code Understanding in Large Language Models through Concept-Aware Consistency Learning Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T17:22:46.428931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.