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Paper Citation Record · LEDGER

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.06267.

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

pith.paper-citation-record.v1
2505.06267 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:05:10.654111Z

measured 39 of 39 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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6648d7bb-d293-4e35-99bf-bdcb943d5bbb · outbound

This paper cites Llama 3 model card.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Llama 3 model card

Reference 1

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source=arxiv_source observed=2026-08-16T00:05:10.490510Z digest=sha256:a2ea9dcb510c7f5c032788742bc27f7ebe9025bdf89d33a7690a2a7db2de63e8

Observation 19eba93f-5843-4544-94d9-d9e185cdb346 · outbound

This paper cites Program Synthesis with Large Language Models.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Program Synthesis with Large Language Models

Reference 2

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source=arxiv_source observed=2026-08-16T00:05:10.495522Z digest=sha256:a44146a1948a033bcc22de5a49011cc6266ce910e5002c3db01e24b478df4b32

Observation 53c4a537-f40c-4649-af40-b6fe0ceb8d72 · outbound

This paper cites A framework for the evaluation of code generation models.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks A framework for the evaluation of code generation models

Reference 3

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source=arxiv_source observed=2026-08-16T00:05:10.500057Z digest=sha256:0b2303f3e1532a3a19ece930499e8869b7f29727e68ace0c22ed0c5382c5fede

Observation dca20033-89a1-404d-88b0-9da538a072a8 · outbound

This paper cites Cosmopedia, 2024.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Cosmopedia, 2024

Reference 4

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source=arxiv_source observed=2026-08-16T00:05:10.504642Z digest=sha256:39586ced0295c6cf5e1c5d8af5e5d826b79e8f4b373af1c84d8e8ca65e843787

Observation 5b7cc53e-6b17-4bb7-8728-08b22ce047bd · outbound

This paper cites an unresolved cited work.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-16T00:05:10.509026Z digest=sha256:ef28bda60a61ac35ab5c8b32423a280772eec1b786e79a65e369d8acbb6bb870

Observation 00ca3f6d-bdbd-41aa-abfe-18d9dc5430d4 · outbound

This paper cites MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Reference 6

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source=arxiv_source observed=2026-08-16T00:05:10.513481Z digest=sha256:2895c4134b186142422071c804cabcefa552dc929755c31567d2631f581cfa61

Observation 74858723-88c8-4000-a473-9f3b5186f00c · outbound

This paper cites an unresolved cited work.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-16T00:05:10.518507Z digest=sha256:0cc91d589a276c5fccbe2ff610873ef2605acc25c2bf3554dea6afe545593406

Observation c0b11e87-65f2-43ec-a3b8-dc695f817745 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=arxiv_source observed=2026-08-16T00:05:10.522789Z digest=sha256:4f86a3492aaf0638e4405326b9a78de5755d16a59fb01f196e18dc669ab1051b

Observation 4ce95202-f02e-4028-9106-8d260a6f1013 · outbound

This paper cites and Li, Y.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks and Li, Y

Reference 9

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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.

source=arxiv_source observed=2026-08-16T00:05:10.527207Z digest=sha256:b4ada542df2dfedf8568ea5ab72256fb0cb5aae642b1c80fd34735ba3336871a

Observation a07ecf40-3e97-47db-a15b-3b0b3c1bd989 · outbound

This paper cites The Llama 3 Herd of Models.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-16T00:05:10.531179Z digest=sha256:cbc5e4f829ec8932cf082b3454d0ca3f07dd9958257c8c5e6cefed77accc1a3a

Observation f7ddbb4b-f309-405d-865d-bd3cf32dc5b0 · outbound

This paper cites an unresolved cited work.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-16T00:05:10.535905Z digest=sha256:f50b261a1df5f2a8dd3213b6fab233a1d348c9218486484256e1cf72e3f4bad3

Observation c6db1b20-5a73-4328-99b5-9b5b8df60839 · outbound

This paper cites Textbooks Are All You Need.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Textbooks Are All You Need

Reference 12

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source=arxiv_source observed=2026-08-16T00:05:10.540219Z digest=sha256:4acc236e479f30c15f9f4de409ffc8c3ebd6971869c5777bec5dad1203c7072b

Observation 54d4c78a-3074-42d7-81bd-14e6a08e1c55 · outbound

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

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 13

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source=arxiv_source observed=2026-08-16T00:05:10.544485Z digest=sha256:e375069789d0dff5b90bd9f9827719426cd679260a6ba47edf27fcad9d16f8f0

Observation 9a5270ac-3cef-45f7-8912-c6625a6aeab5 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Distilling the Knowledge in a Neural Network

Reference 14

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source=arxiv_source observed=2026-08-16T00:05:10.548886Z digest=sha256:e5926e8718a92bffda24c67115620612d310104e239ecf3d8771b195ecb43fdc

Observation f0503bc7-738f-4203-8deb-a284c2eb7cd1 · outbound

This paper cites Parameter-efficient transfer learning for nlp, 2019.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Parameter-efficient transfer learning for nlp, 2019

Reference 15

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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.

source=arxiv_source observed=2026-08-16T00:05:10.553114Z digest=sha256:ec81fceebcafd5d582b3c7d776cbe70411b22f58b728ee9911b0e45248db62a7

Observation 957611a1-561d-45de-9db2-0868d5fcc5cf · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 16

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source=arxiv_source observed=2026-08-16T00:05:10.557211Z digest=sha256:1456ac9ab5e08264c4323ef62814a9d35ae7619a9a5a0c68d111a72f6f7bfacf

Observation ccd7e2ee-c6c2-4fea-8b25-58c4cd305d9d · outbound

This paper cites Qwen2.5-Coder Technical Report.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Qwen2.5-Coder Technical Report

Reference 17

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source=arxiv_source observed=2026-08-16T00:05:10.561344Z digest=sha256:0f951e763ab1ffa2c84a644f9cd4e5cc366fbee349f98adc90a6a38cd7123ff8

Observation 069a125d-88a6-45a4-a0d8-69cdceb305fa · outbound

This paper cites Mixtral of Experts.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Mixtral of Experts

Reference 18

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source=arxiv_source observed=2026-08-16T00:05:10.565726Z digest=sha256:4fd27ffd2b3ceb2ab38cfaf0f1e987a50f1e2c51069058e93f22a90048889b2f

Observation 0637c7e7-4067-43a3-a0ce-d0ec158dde2a · outbound

This paper cites Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D

Reference 19

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

source=arxiv_source observed=2026-08-16T00:05:10.569997Z digest=sha256:dd88ee40f6a9561d03abe4d44ca04e3d624ce65fa93c66467c881953ea2dfff4

Observation 536fc8f7-1519-4860-af93-4666f90bf10b · outbound

This paper cites D., Savarese, S., and Hoi, S.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks D., Savarese, S., and Hoi, S

Reference 20

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raw_fallback, observed 2026-08-16T00:05:11.050566Z

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=2026-08-16T00:05:10.574230Z digest=sha256:54fff3ae920a765a417d2862a975072f8f2ad97b1c502cefb0aec62b5d040b05

Observation b97392bf-fff5-48fa-a4bf-e8b30a45eabd · outbound

This paper cites Fast Inference from Transformers via Speculative Decoding.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Fast Inference from Transformers via Speculative Decoding

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:05:10.578406Z digest=sha256:c3281db5a740cea6a2b265fd36bd402b82324b2fd92c0efba2a3f57414fd8d6c

Observation bcca09a4-915e-4e45-ab95-869611cbd1f9 · outbound

This paper cites B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., Liu, Q., Zheltonozhskii, E., Zhuo, T.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., Liu, Q., Zheltonozhskii, E., Zhuo, T

Reference 22

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

source=arxiv_source observed=2026-08-16T00:05:10.582729Z digest=sha256:74b06548ff227b844787a37e8d0e6b06a129376cb7fe1ccc1a7aef97eb35b21d

Observation 4c04b32a-2ad7-431a-ab69-3573a4c83ecd · outbound

This paper cites S., Wang, Y., and Zhang, L.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks S., Wang, Y., and Zhang, L

Reference 23

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source=arxiv_source observed=2026-08-16T00:05:10.586885Z digest=sha256:5785e1345cfdf0a36c75b797a6ee6709d26dbd546e35d6a55fb6820965eab4dc

Observation ca6b2a99-6bf4-4a35-9c7d-c20c99043971 · outbound

This paper cites Evaluating language models for efficient code generation.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Evaluating language models for efficient code generation

Reference 24

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raw_fallback, observed 2026-08-16T00:05:11.014931Z

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=2026-08-16T00:05:10.591082Z digest=sha256:2740dbefc27bd4509f0118b7f42e2ec35227f7d0f0474fc89e3bc0e60a3023c7

Observation 26315cba-e368-4057-b863-7af018d5a3b5 · outbound

This paper cites On llms-driven synthetic data generation, curation, and evaluation: A survey.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks On llms-driven synthetic data generation, curation, and evaluation: A survey

Reference 25

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raw_fallback, observed 2026-08-16T00:05:11.000928Z

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

source=arxiv_source observed=2026-08-16T00:05:10.595192Z digest=sha256:ad1a17770db8586b12df5ad20fc2020ff2039f5d849e4ccf90b1bb81bfdad692

Observation d6acdab1-591e-4378-90f8-352a2741dd5e · outbound

This paper cites an unresolved cited work.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unresolved cited work

Reference 26

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

source=arxiv_source observed=2026-08-16T00:05:10.599263Z digest=sha256:cfae251943b0393203908a08d9078bfeecc2e9566e2d6d4f542cc80669ebb8d9

Observation 3d01ec2d-e47b-45db-ae88-f3bd59e3b290 · outbound

This paper cites an unresolved cited work.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-16T00:05:10.603291Z digest=sha256:944a0589c2ad448189188593aec19f01ddcc23dfe12a693e66b75b6100229d44

Observation 23b8d52a-8c13-493c-b708-e0bff0639263 · outbound

This paper cites D., and Finn, C.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks D., and Finn, C

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T00:05:10.964391Z

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 94e7bb98-07bc-4b7a-82d9-406a240faa07 · outbound

This paper cites E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., Rapin, J., Kozhevnikov, A., Evtimov, I., Bitton, J., Bhatt, M., Ferrer, C.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., Rapin, J., Kozhevnikov, A., Evtimov, I., Bitton, J., Bhatt, M., Ferrer, C

Reference 29

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source=arxiv_source observed=2026-08-16T00:05:10.611658Z digest=sha256:2611c9ba95197ccb07e1450962d3ac953fa9cb81209a1079bc44f54f09fba3da

Observation 34249b3a-eae6-4750-9519-c975072fb8bb · outbound

This paper cites Strong Baselines for Neural Semi-supervised Learning under Domain Shift.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Strong Baselines for Neural Semi-supervised Learning under Domain Shift

Reference 30

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source=arxiv_source observed=2026-08-16T00:05:10.615928Z digest=sha256:6fc6e26f24b0fa6fd36133fbfd32b1f6271641acad282bb63654a0c6526b2636

Observation 6b935b13-9c02-441c-8784-10c6bd07ead1 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 31

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source=arxiv_source observed=2026-08-16T00:05:10.620210Z digest=sha256:7a5bbf6ff7d3a72f2a6eb2d1c91597de22b66358c1ab58ee7a97ab0b529f8705

Observation 7dc71e73-cbb9-4025-ad70-9ece3268e34c · outbound

This paper cites Trust Region Policy Optimization.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Trust Region Policy Optimization

Reference 32

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source=arxiv_source observed=2026-08-16T00:05:10.624637Z digest=sha256:dda4506927828c80f051aa6bac4be83a7355c88321372e55c15507a5aa6a376a

Observation 02660b10-bd18-4244-a125-dbdd0d7430e2 · outbound

This paper cites Proximal policy optimization algorithms, 2017 b.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Proximal policy optimization algorithms, 2017 b

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-16T00:05:10.942286Z

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=2026-08-16T00:05:10.628917Z digest=sha256:577323718bd6d240e896d658e9154e421fb2d19145e0d246b3ff8c64a2cc4c7f

Observation c0783d40-f34d-49cd-bfa8-6cba7cc1deda · outbound

This paper cites Intrinsic motivation and automatic curricula via asymmetric self-play, 2018.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Intrinsic motivation and automatic curricula via asymmetric self-play, 2018

Reference 34

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raw_fallback, observed 2026-08-16T00:05:10.928090Z

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=2026-08-16T00:05:10.633013Z digest=sha256:a644112d81cca1c982f7f8eb8ed1acafe93bb7e297f9bec118a0ca5c5d7eaa4c

Observation 0545cdb8-073b-46e3-b808-db659a77e7d9 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Qwen2.5: A party of foundation models, September 2024

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:05:10.637047Z digest=sha256:abb787df18a686a1f06e6f5bdc4afc4123a4d40d6e9435cb0ed3cdca06f12dee

Observation 2ba3a78e-9438-4b13-a42f-0e394fe449e4 · outbound

This paper cites Deceptprompt: Exploiting llm-driven code generation via adversarial natural language instructions, 2023.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Deceptprompt: Exploiting llm-driven code generation via adversarial natural language instructions, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:05:10.905245Z

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

source=arxiv_source observed=2026-08-16T00:05:10.641303Z digest=sha256:d43acb9d96673d5fd31cb26be00c30538db1b293d9b593d53eda20ed17bddd78

Observation 6e9976ea-1669-4b40-86cd-492ecc2a819f · outbound

This paper cites Unsupervised Data Augmentation for Consistency Training.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Unsupervised Data Augmentation for Consistency Training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:05:10.645332Z

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source=arxiv_source observed=2026-08-16T00:05:10.645332Z digest=sha256:240c04a1d93c75d0bfe5dea5c7fb454e84e758234cc5011d12c18915b1c2af86

Observation 005bbcf8-2047-4203-9b76-7ffa3d2e5cad · outbound

This paper cites A Comprehensive Survey on Transfer Learning.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks A Comprehensive Survey on Transfer Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:05:10.649733Z

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source=arxiv_source observed=2026-08-16T00:05:10.649733Z digest=sha256:5c060c50c84159a46b1e3e6ba97071f7b3cd5f44efbb1be1236f74bb20faf2db

Observation 86a0e907-9fe2-4937-aed4-307c24492866 · outbound

This paper cites write newline.

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks write newline

Reference 39

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unresolved
no resolver link, observed 2026-08-16T00:05:10.654111Z

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source=arxiv_source observed=2026-08-16T00:05:10.654111Z digest=sha256:1b937b9538a57190191a0aa8f660aeb9624ff93bd58af48cb81ace6afa9d7cbc

Pith citing papers

No inbound Pith citation observations are available.