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Paper Citation Record · LEDGER

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models

As of 21 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2505.09062.

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

pith.paper-citation-record.v1
2505.09062 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:41.652746Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

89 of 89 outbound references displayed

  • verified exact8
  • verified fuzzy12
  • unresolved67
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fdeb7df-e0f6-44bb-863e-405845c27381 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-15T21:46:41.291330Z digest=sha256:eef9b438ee91bc38163ffc93e0cd443bb28393c4430449ef6d609eeafe5b74b7

Observation 5f9644cc-0e70-492c-9827-2e4afcd744db · outbound

This paper cites Stapleton, Y.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Stapleton, Y

Reference 2

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source=pdf_text observed=2026-08-15T21:46:41.296491Z digest=sha256:369647686e983e2451edbe3b210cec211145fa6a72b5f2a86db410b4721d0a70

Observation ef7aafff-a957-4b10-bf3c-316238c3fb0b · outbound

This paper cites Sridhara, E.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Sridhara, E

Reference 3

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source=pdf_text observed=2026-08-15T21:46:41.300257Z digest=sha256:355f1ab347f553c8dcab4cbfa315d7ceb77ccbf6dbbd8190d9acba4926bbaa38

Observation 8dff3c21-1e82-44cb-9e75-d8f79d20d25b · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-15T21:46:41.304367Z digest=sha256:29d97c0ed61add12231c2ea8a0a891db5aee48830eadc040c5695476328449bb

Observation 9e81a0f1-0603-4753-bb64-749d2e4cc143 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-15T21:46:41.307996Z digest=sha256:715cbb989d9f56e63fa7e7e0be36e479a294d232272f29fe9d28a810fea4b6c4

Observation 85a0257d-a99e-4dff-9029-e2e1ecdaf11c · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-15T21:46:41.311520Z digest=sha256:a3aab106c410d677ecc5ceb1ad06042a3e5d35feb6a5be3cbcf8d79b6c7acbb9

Observation 9fcfb117-e71a-43b6-964f-d9a611d32132 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.315199Z digest=sha256:b8cc8fa85b08e379500299677048c968b06370c1fee65cc2d621a657c94b9902

Observation 68e7aa22-d651-4c3d-b7ee-a8048d013cc3 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-15T21:46:41.318666Z digest=sha256:e7bf2f0050f693efac599b84c348f726f89bb1962e81f4d12e456c1dabbedd71

Observation 4153ab70-c0bb-46d7-b123-2d62a09454aa · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.326386Z digest=sha256:43b2fd9e4b36912dacf3ac4bc93cc274e05761b662d07326beb34474e73b822c

Observation 346270bf-6e13-4e90-90f7-cf1b6bf16c6b · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 10

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source=pdf_text observed=2026-08-15T21:46:41.330435Z digest=sha256:5a9a5b03a4d93f65c5223f603186e61799fa8f506a669d66dbd96148ae61f568

Observation d3a25ba5-8ea3-4e39-bf21-add6fd936bae · outbound

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

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Code Llama: Open Foundation Models for Code

Reference 11

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source=pdf_text observed=2026-08-15T21:46:41.334595Z digest=sha256:f2bf39f9f855589c2a64fd0a9c3cd48b6d6bb808790cab458fd21079c1d669d0

Observation 41fa3bdc-cf3d-4a26-9bbc-8327bbf617d4 · outbound

This paper cites Zhang, X.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Zhang, X

Reference 12

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verified exact
doi, observed 2026-08-15T21:46:41.838714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.339078Z digest=sha256:bf86a6511661d15200b75bedb6fdbfac719cb69bfcee9a4e0eb96dc361d834af

Observation a15c245a-1766-483c-bdec-e12145f8b37f · outbound

This paper cites Macherey, F.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Macherey, F

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.343635Z digest=sha256:701e428e8c69fecb2995a00731a9c6f8dccc05ccd0642fae9f0d5189cf45127f

Observation 7125584f-ec80-4812-ad78-19e0fec77326 · outbound

This paper cites Tromble, S.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Tromble, S

Reference 14

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source=pdf_text observed=2026-08-15T21:46:41.347654Z digest=sha256:9b982b68715fafba71f237eae11ac540cea233afaaf11e9e82cf23cd6f4e9436

Observation 68170699-b550-4565-9cd8-3ffc27cf8824 · outbound

This paper cites Kumar, W.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Kumar, W

Reference 15

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source=pdf_text observed=2026-08-15T21:46:41.351872Z digest=sha256:2169845aa0e8b18ceb7d0cf16145ff724d824b520ad5d4d26c28fe2eb7e17054

Observation 4fe115a2-bdc4-4069-89a2-a73530b523ac · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.356477Z digest=sha256:bcf60e00f34d0b1fe1787c6038dcbfa74d4cb8e2951fe43202abb74a078e4e55

Observation 17e17306-4707-4aff-89d0-a5223fd167ae · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.364845Z digest=sha256:9e11dfa0bbd9f1d3478c74bcb1f87613f45de807517458ec2573cef7294e8b3f

Observation 16a83dbb-0874-4c0c-bb6a-b02d0a58b487 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.369030Z digest=sha256:c0244fb6e4e944ad8e960d67aaf675d1cd4cfb01babef5b500b76ca914c6719e

Observation e9b6e673-0f26-4341-a9da-0e8de753922b · outbound

This paper cites Variational Transformers for Diverse Response Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Variational Transformers for Diverse Response Generation

Reference 19

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source=pdf_text observed=2026-08-15T21:46:41.373309Z digest=sha256:72363783b7411905e5a026a8505569b6aa56519c314651f5ae78da4f0df04239

Observation 44f0c24b-64c4-410b-9859-4a7f4447645a · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-15T21:46:41.378497Z digest=sha256:628a857633198bb13c4581f9eb3885e880111ca084a92204a48b9d5c9644f3a1

Observation 177cfb4f-202a-440c-93c4-6c4366c445d5 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-15T21:46:41.387904Z digest=sha256:04cd30134124d80e4e5045a979603a18431883c6d1113e13f2fe000dbdff57b9

Observation 26a11c4f-cd5b-4dd9-9e2a-6eb8442dc930 · outbound

This paper cites Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.391999Z digest=sha256:e823f4123f2ed8a7c5e014305d42d0d669a33cda6d4b1cdc47e3cdff7dea80ee

Observation 1bd42168-8bfa-449f-a610-0b529677578f · outbound

This paper cites Jiang, G.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Jiang, G

Reference 23

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source=pdf_text observed=2026-08-15T21:46:41.396337Z digest=sha256:8506f51bbe8d402917a1549c4e903e72c0d7ea692ce494fd0f237be70ad4df7e

Observation 3555918a-4c49-4138-9b00-92dbadc9e94d · outbound

This paper cites Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.400144Z digest=sha256:a27710df522c0f0b45dc9f8947ce5f26d182f961aaf84fcce89b5dff7ec2a36c

Observation a7168d6e-c615-4cb9-ab9e-ecd1c3c81e91 · outbound

This paper cites Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

Reference 25

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source=pdf_text observed=2026-08-15T21:46:41.404184Z digest=sha256:e80a27111f2029ef7a1a5b56b0ea6cf9089a0ab9a76094b7082fd35dbf303972

Observation 5e292a08-b753-43dd-97dd-ccba00ee5186 · outbound

This paper cites Ruan, Z.-H.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Ruan, Z.-H

Reference 26

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no resolver link, observed 2026-08-15T21:46:41.408275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.408275Z digest=sha256:ed2631876246344ef9d6435abcb336ee5fb43cdf8efc4f4f1849f3135d3fc1e4

Observation 89eaf62b-dd00-4593-a9ee-0889482d3b0b · outbound

This paper cites Vaswani, N.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Vaswani, N

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.544400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.413130Z digest=sha256:4601c3b6604b4943c4c7885bc3d58d771ea71e582b954f3deb894a720a3eba59

Observation 2159df52-3a88-473e-ad65-9919ac7dce2e · outbound

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

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.416883Z digest=sha256:a3926c54424ed4e8d723cfa8eccc6f8c05341cb21ff92aecf7079f31aef99143

Observation d784dec1-40ad-4660-90d8-e4e117dfb557 · outbound

This paper cites ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning

Reference 29

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no resolver link, observed 2026-08-15T21:46:41.420930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.420930Z digest=sha256:bf3734dd2c0551772a633ffa8ec564cdb3adb05155771be4642694aeb3a5faf8

Observation f7199621-7251-4c88-916c-4a7745f89406 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 30

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no resolver link, observed 2026-08-15T21:46:41.424824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.424824Z digest=sha256:73e6170ea75c7598f1e1166faab0f8a31439ecd853ebbefc45ee0e8c22dc70ef

Observation f18db3a3-7601-4fea-b109-82df1b851fb6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Evaluating Large Language Models Trained on Code

Reference 31

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no resolver link, observed 2026-08-15T21:46:41.428265Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.428265Z digest=sha256:4252922afc1663124c94c5dbe7a94fab2edb665ca8ea173d1cbdf11ee46ac383

Observation d57c1e42-430d-47c8-b392-6d12662e5dad · outbound

This paper cites Unified Pre-training for Program Understanding and Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unified Pre-training for Program Understanding and Generation

Reference 32

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no resolver link, observed 2026-08-15T21:46:41.431798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.431798Z digest=sha256:b04f29c532b0a674eaea4195f0d6dcd17df257c748282b236363efc2f17ac390

Observation cbd7b3e0-4a20-4c68-bd07-3d42fd6d6e2b · outbound

This paper cites Unsupervised Translation of Programming Languages.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unsupervised Translation of Programming Languages

Reference 33

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no resolver link, observed 2026-08-15T21:46:41.436307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.436307Z digest=sha256:0c48cb8380be57055317667a5cc58be4986ddfad4b3638d27180ad1b0670ab91

Observation a154c19d-db95-494d-8051-313ece37bae3 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.440890Z digest=sha256:3a3cfa41adbbc055b5b9edabe9c952a9f6b3dee873635ef0694e140768fb3a21

Observation c998bd26-06b3-4b46-bb9a-8c3005d384d2 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-15T21:46:41.444899Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.444899Z digest=sha256:7dca699ead1f8597d8e6e7720339b3111aaa8a275c1b90bdb9823797e514696e

Observation a7aeea6e-da75-4e10-bf9f-2b3d699ef387 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.449159Z digest=sha256:fa07cc394a39a8386b41d1f2cf2c8c77e0be116e0ad426dfe8acb5b9421052bf

Observation bf4dfcd6-ca1f-4a33-a875-4ba47f6181e7 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-15T21:46:43.528913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.453231Z digest=sha256:f390b235d3e5500e431c21f4a489bc58ede8bec9a72eb628204a1e6de97dc9a3

Observation 15bd1715-47a0-403a-8944-f5d373a17bea · outbound

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

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.457567Z digest=sha256:b7c5726c24240e9a950425d70a938f172464c8aa9c0f82eab3ee789604b1566e

Observation a8ba120b-9041-465c-a604-77d85c7fbb0c · outbound

This paper cites Lucas, G.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Lucas, G

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.513225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.461442Z digest=sha256:069877e528364b0faa3b41a73f37f722db04d1f1acba17b7f25ef3f6d6cc413b

Observation 8561cf8b-706b-40b6-b8b6-79f1297d906d · outbound

This paper cites Z-Forcing: Training Stochastic Recurrent Networks.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Z-Forcing: Training Stochastic Recurrent Networks

Reference 40

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verified exact
local_arxiv, observed 2026-08-15T21:46:42.605946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.465488Z digest=sha256:16af1b2de72dc73deb921acaa59914c14062240c0f98698abff4b1ea7ef94fbf

Observation b6d0c40d-88a4-4e4f-8b89-ff02a4f8f943 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 41

Resolution
verified exact
doi, observed 2026-08-15T21:46:41.766212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.469758Z digest=sha256:0af90a153048491cf50796268aa4d3fbe22fbb36edbf2ba5c97e82d84ec798cd

Observation ca6ed295-9e0e-43f2-aa15-4e50eabe1667 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.497743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.476175Z digest=sha256:4926b3c39cf5cf57ab81834961c34cecb4d2cf95d994f8f21334dff95bb1eed1

Observation 4d7c50fd-ec24-421c-9ec7-7bda5e0aff6e · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 43

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unresolved
no resolver link, observed 2026-08-15T21:46:41.479986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.479986Z digest=sha256:0c03c2f83b98d14da5ac40ad2a34ae49228888bf73d2d18730b9ef6fe4d18300

Observation 2b904e3a-bfca-4f16-8a4a-2127992b8f64 · outbound

This paper cites Su, Variational autoencoder (5): Vae+bn=better vae, 2020.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Su, Variational autoencoder (5): Vae+bn=better vae, 2020

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.480059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.483998Z digest=sha256:f0a90c5017b6ba2f52500622332cede241196f02a87b81380d5768c0b2d1ee5e

Observation aa07fd29-ae28-42e8-9297-819513e3e66a · outbound

This paper cites Zhong, P.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Zhong, P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.459623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.487646Z digest=sha256:6a0501669281561e28c30c1996aad112fe79622311574f278564557df265b103

Observation d3521d3f-4b97-40f4-b5f6-019192b3e08b · outbound

This paper cites Papineni, S.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Papineni, S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.443486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.491434Z digest=sha256:f48f1f03c6dd4fd39afd7ee74ec0d708fc45871c04afd7e3fe07da04e2707515

Observation 63693702-3d05-43d9-85cf-8cd01f99455c · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-15T21:46:41.495043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.495043Z digest=sha256:d36f630ddf575fdc7bdf07632bb78e40d683da48f33358c403ab46e3cbd2d6a0

Observation 2231861f-71ea-4465-9f2a-2d9397ca248c · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.427560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.499145Z digest=sha256:381b160dcc179d5039a8b13efd91e451b46b4fc93ceff9498c7befd268045e0a

Observation ab8f7390-28e0-4348-b320-1038af281ea1 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-15T21:46:41.503255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.503255Z digest=sha256:cf1821328ea0a9378434ab6050708b688fed309ec095014b072823fe9ce3fd10

Observation c3bd2533-546b-47ce-adce-442fe3fb3080 · outbound

This paper cites An Extractive-and-Abstractive Framework for Source Code Summarization.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models An Extractive-and-Abstractive Framework for Source Code Summarization

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:46:42.507164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.506811Z digest=sha256:188f8813e4a61234c1bc185398449daa6a89af27857107f416ef0859fc50be26

Observation 97da2599-9fce-4e8b-bd02-6f79d0a85bd9 · outbound

This paper cites Lin, ROUGE: A package for automatic evaluation of summaries, in: Text Summarization Branches Out, Association for Computational Linguistics, Barcelona, Spain, 2004, pp.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Lin, ROUGE: A package for automatic evaluation of summaries, in: Text Summarization Branches Out, Association for Computational Linguistics, Barcelona, Spain, 2004, pp

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.410177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.511108Z digest=sha256:156a5bfd6bbc42f4b953f8b6e8270b0fd2667293b66a3bb839286d8e05392f97

Observation b09cc301-5f0b-435e-8a08-46944deebb8a · outbound

This paper cites Banerjee, A.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Banerjee, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.393951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.515190Z digest=sha256:d43deb5f602c5683fa1ee9c68960e4293b18e7c04adb27147ec3a359b1087fe3

Observation aa0eeff4-ff5f-4a4a-8c65-363af3d1e2a9 · outbound

This paper cites Zhang, V.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Zhang, V

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.378645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.519202Z digest=sha256:0a38e16b7fba459afb405c8acc5ce4ef978a63f353806c4f4e9415369b857478

Observation e8976faa-2788-45e4-8397-bb9aa518aac7 · outbound

This paper cites Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.527668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.527668Z digest=sha256:10d8f4f0a0f900ebbcca74cf8420d0b9fa3b4f05e9c792a5697879a5d28757c0

Observation 8c40ef52-7c43-4bad-981c-4b60da200acc · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 56

Resolution
verified exact
doi, observed 2026-08-15T21:46:41.740377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.531909Z digest=sha256:6b0511961ff376a5f583353a9cd5b52963e0cb5698ad6f40373b317a49e89b1a

Observation 7d3c4649-da1a-488d-ac1b-313f0c5247a0 · outbound

This paper cites Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN).

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.535419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.535419Z digest=sha256:a8c0400cdaea396c2e92f1e2b500032a43042c71650cb455f4c802cf77afe9e6

Observation 828537d7-e44e-499a-9001-934e027561e4 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.361183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.539032Z digest=sha256:18d2fd18200decef79126502708a829d1536aee4336168a5c9a0e1b31261eba0

Observation cd296cd9-7c13-4b5c-a6c7-3db39ab43e63 · outbound

This paper cites Texygen: A Benchmarking Platform for Text Generation Models.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Texygen: A Benchmarking Platform for Text Generation Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.542451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.542451Z digest=sha256:f1bf8cb935dddb8793bd21ed8577d833f07567457e0dcd0f07f83db25a42fe06

Observation 85ba67b7-9fec-40cf-98a8-3cacf0d9f977 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.545947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.545947Z digest=sha256:b298d6bbcac62aaffa56e7b9834d44696f624402f2085e04fe60df83f30aa9e2

Observation 164c9426-7bd2-4135-8218-27c68f97c69b · outbound

This paper cites Eriguchi, K.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Eriguchi, K

Reference 61

Resolution
verified exact
doi, observed 2026-08-15T21:46:41.717709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.549578Z digest=sha256:d1fb35df8b7f4c15ad2e8f800297461a3ea6adaf7d28ed4e1c7ac794e2e444e3

Observation 95b5b167-7161-4ee9-bf65-5ce5f252716a · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 62

Resolution
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raw_fallback, observed 2026-08-15T21:46:43.337647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.553390Z digest=sha256:834237f8723d4fede8fda4b539d81660222536374c8ecb67398b9dc0255406a5

Observation e67f5b8d-8b07-457f-a8e4-34ca202faa9c · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 63

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unresolved
no resolver link, observed 2026-08-15T21:46:41.556718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.556718Z digest=sha256:07751431bbacff48c58fab6f12066c041b8a921eb2e8f5bf2954a559b89960e2

Observation 213017ca-c384-422b-b323-7d0ce7ecfd15 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.321763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.561667Z digest=sha256:255596755e3264a53c6b2fa9969d3e6d8ec406c0963fb06c34c99180934c8d0b

Observation 028040b9-23b5-4930-9478-9eb3928a26d6 · outbound

This paper cites Accessed: 2024-10-15.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Accessed: 2024-10-15

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.306616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.565729Z digest=sha256:5b8588fabf1a9e3b8516e3ea0f586be01cb4ef81c82338a23648a67673e2edad

Observation aa99b724-ef35-4198-96cb-9f65c4a4f62a · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.284862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.569543Z digest=sha256:3dff99f8dfaae561b93459367dfdd708293c48a90328b457dbe4aed67cefe0cc

Observation 8ebff43c-db8e-4c52-b68c-b678786e5089 · outbound

This paper cites Ahmed, K.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Ahmed, K

Reference 67

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unresolved
no resolver link, observed 2026-08-15T21:46:41.573808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.573808Z digest=sha256:3ea56534c01a03eaa5de584b9e8a37ab88a846af34a4e98a2f03d0e169ad853d

Observation 3de71812-5af8-489f-943a-4de8c4d5573e · outbound

This paper cites Haiduc, J.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Haiduc, J

Reference 68

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unresolved
no resolver link, observed 2026-08-15T21:46:41.578501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.578501Z digest=sha256:1434b9c57ac89676784e7c62d2e74439664900d798837cfc96e95077cc6a7f24

Observation 595d7885-5346-4817-b52d-6d2ec5cfaebf · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.266549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.582443Z digest=sha256:e33aabd727053aba5e245ce32be41788e80250501eb235b3cfe1cf2713b396c4

Observation 1aeb3c56-90c1-4421-b485-83c50b2bb985 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.586312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.586312Z digest=sha256:e86d7c23d763edff05925ce9a04022c8a1f0f244f574975110f7bacd2985346d

Observation 8f264135-3649-406c-bd50-4b0412608666 · outbound

This paper cites Zhang, J.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Zhang, J

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.249817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.590165Z digest=sha256:71062bb046d6e42634fc31b7b89fc9729bd61dbcb9b2127abe36f70c5aed50d8

Observation f763c97b-1444-4eb5-8d7f-fb11a2eeb51a · outbound

This paper cites LeClair, S.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models LeClair, S

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.594829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.594829Z digest=sha256:f1a3bc585aaa0bdd8e2a442f6b6b6e0bfdca2787b66a2053e992a9227be4db6a

Observation c2b79295-210f-47e6-87c9-b4b6e46e5bf2 · outbound

This paper cites LeClair, S.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models LeClair, S

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.598522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.598522Z digest=sha256:d1840dc9d2e18c841e09d74a0f3e0a9c15c8517a6e9345340a107fd644fc2b5c

Observation 377e26c0-cd55-4329-b999-560a55304eef · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.236322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.602330Z digest=sha256:9cbfe458216b880f0ca4574680189ff4e7ff0b53798300f845ff5b79c955db02

Observation 67c754e8-6aa6-49d8-be9e-1f392dc39311 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 75

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unresolved
no resolver link, observed 2026-08-15T21:46:41.605735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.605735Z digest=sha256:50de602ac58a3576528f95893809078a7bd2956ae61d25de042627491f753752

Observation a158fdc7-1343-45bf-b47a-3d035ccc76fb · outbound

This paper cites Tevet, J.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Tevet, J

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.222420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.609605Z digest=sha256:8885b558d05f850718bb463c74fd7413dafa41cbe8519c8025c466760f16ca33

Observation 9acb7f87-5f6e-4c74-ac0b-11aba27ebcbc · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models The Curious Case of Neural Text Degeneration

Reference 77

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unresolved
no resolver link, observed 2026-08-15T21:46:41.613199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.613199Z digest=sha256:54bd9078e2f098ba2549ececc7b2bb33d4c179d3c8facfd4f34aec98ae47a09f

Observation e7aba342-a682-47a2-b7f9-5f7ee4dd6474 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:43.208854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.617918Z digest=sha256:c2c37618693502c6855f6c8421f68ab955e59d2c88eb90e054b14d23873a5bf2

Observation 626288a1-9e2d-4831-a228-c042fb2a0d8c · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 79

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no resolver link, observed 2026-08-15T21:46:41.621539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.621539Z digest=sha256:b94a1ea57d834e5c89900bb55554da720e83ba4a0fdedb3632c304ac8f6bf66a

Observation de15cd41-35a4-4191-a21c-9475d6c75021 · outbound

This paper cites Generative Adversarial Networks.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Generative Adversarial Networks

Reference 80

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unresolved
no resolver link, observed 2026-08-15T21:46:41.625282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.625282Z digest=sha256:5c495a4ec73e470556c7e6954678d56807ef9499a05ea6e24815cdf0c30fb84d

Observation 1b774fb1-bb1f-4b2a-97b4-524ac712ac62 · outbound

This paper cites DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.629374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.629374Z digest=sha256:808ea12d2995ab09fb93beb13e7d457b342e04a13494da914bbafc7796156653

Observation 81a3817d-a328-44ef-9119-82fbc3cade0c · outbound

This paper cites Luo, J.-T.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Luo, J.-T

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:43.191752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.633241Z digest=sha256:5392612868f871b6b4a9c6788dcdb5f49f05debe26962141e5576294cd232a64

Observation bcf9a23a-59bf-4217-baa6-fb7a2e29aa6f · outbound

This paper cites Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.637690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.637690Z digest=sha256:4a070675c8043d4462eb0432b540bc651260e7a689e0e0a3345128337ff3b3c6

Observation 02d88e22-3af0-4f0c-b0c2-1672c4a98d9c · outbound

This paper cites A Simple, Fast Diverse Decoding Algorithm for Neural Generation.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models A Simple, Fast Diverse Decoding Algorithm for Neural Generation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.641846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.641846Z digest=sha256:ff58c3af26b3130a84fbadf9f514335972eb95e72ccc644a321150ac4ef75b98

Observation e8ab0c5e-3ff3-4166-9fb2-38092603779e · outbound

This paper cites Tam, Cluster-based beam search for pointer-generator chat- bot grounded by knowledge, Computer Speech & Language 64 (2020) 101094.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Tam, Cluster-based beam search for pointer-generator chat- bot grounded by knowledge, Computer Speech & Language 64 (2020) 101094

Reference 85

Resolution
malformed identifier
no resolver link, observed 2026-08-15T21:46:41.645928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.645928Z digest=sha256:1b7ba10a3246c08955f55c69f6c3807d1c01ca8ff92ca4f74bc25c13044e3d6d

Observation 21f579e3-5d88-47c6-8e99-985015ee0e1b · outbound

This paper cites Zhang, C.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Zhang, C

Reference 86

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unresolved
no resolver link, observed 2026-08-15T21:46:41.649309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.649309Z digest=sha256:213d50e76c3862198010fcdafda7a061c19135a52b6933b94c20960569953210

Observation 1e5111c9-cab0-463a-8c2d-cb576728cd12 · outbound

This paper cites Kessel, C.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Kessel, C

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.652746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.652746Z digest=sha256:99088e6a3f16dfc6da7f19f9dca5dba451a59a289c070673beb70516347cd31d

Observation ea57b892-5fe4-4862-9bf0-a677fe2758d3 · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 93

Resolution
verified exact
doi, observed 2026-08-15T21:46:41.858536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.322240Z digest=sha256:be0bf0885e9b745c9b20bb6d8a12d61da145004c1eae935a97c8284914b226af

Observation 3392f929-179c-4615-9105-22a7b64005bf · outbound

This paper cites an unresolved cited work.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Unresolved cited work

Reference 575

Resolution
verified exact
doi, observed 2026-08-15T21:46:41.806076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:46:41.383404Z digest=sha256:da1768123dc44d69f704718ae8139e447282e87e5acd7b3b01b60dc52e61dc6c

Observation 3045d028-5abc-4684-a6b4-e9f844832773 · outbound

This paper cites Auto-Encoding Variational Bayes.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Auto-Encoding Variational Bayes

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:41.360810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:41.360810Z digest=sha256:3e97e53cd496680d7e5ec3f30c680ad2fc80288c805c13ca075906f047e251e6

Pith citing papers

No inbound Pith citation observations are available.