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Paper Citation Record · LEDGER

Enhancing RLHF with Human Gaze Modeling

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2507.09016.

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

pith.paper-citation-record.v1
2507.09016 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:11:18.809262Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

58 of 58 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58a9ad55-1bfd-4b28-9fa1-d6ff5f56311b · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bad13d35-e8fb-45fa-9dff-417af3d8cee9 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Enhancing RLHF with Human Gaze Modeling Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.660640Z digest=sha256:5f9ed37eda27d97b543d9e7189f269b63f2e63aaad9199a3e5ad45ac62da21e2

Observation eeafc856-3917-4b89-81e4-fc7dc8fc5775 · outbound

This paper cites Dense Reward for Free in Reinforcement Learning from Human Feedback.

Enhancing RLHF with Human Gaze Modeling Dense Reward for Free in Reinforcement Learning from Human Feedback

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.717117Z digest=sha256:6f275c93e426300c0418482ae09861e55127a3cd411b897e35127f4d74998bef

Observation 2ce24472-7aa7-4a57-9d1a-06ee90b2877c · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.800634Z digest=sha256:83f047041aa914578c7b50bf388741173e8077e230eff1464961f150b8ddee70

Observation 386aa479-f503-4569-b69e-638435de6044 · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:15.841479Z digest=sha256:1d7fe34e407815e102fa9cc23192f123a2344ea826d1949163a8f1a3af8230c6

Observation 3c7686f7-f03c-4fdf-b03f-084adf52cfe8 · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.875540Z digest=sha256:f53427a136d938ee87d304160c6d0d19b408db37404ce9b801f894660dfa2a11

Observation f835b9ad-daf4-451b-b9b1-93e43de86413 · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 7

Resolution
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no resolver link, observed 2026-08-06T18:11:15.937634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.937634Z digest=sha256:196e988d3a3f53c905b6148d7db53f57b7867c207ddde54f4cff271e3b6578f6

Observation bfe9b88f-4f80-456f-b5be-f7692265f3b8 · outbound

This paper cites o pf, Yannic Kilcher, Dimitri Von R \.

Enhancing RLHF with Human Gaze Modeling o pf, Yannic Kilcher, Dimitri Von R \

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T18:11:22.063754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.011470Z digest=sha256:52fc5858be25a38dfcead6fa6916552a0a6e4c5a35acaa0120c7c6b5a69e70e6

Observation 51ee4109-ddfe-4878-acfe-5640d9e67efd · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.088369Z digest=sha256:9e599faa451d0c9a2b2bb6d3f3e6f802f0856793b6ffc5f16e01524a11c042b8

Observation 1299c575-9187-4e8a-af5f-3eebaa0b1f19 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Enhancing RLHF with Human Gaze Modeling Proximal Policy Optimization Algorithms

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.214877Z digest=sha256:2a326a8faaab13f9707b5d41fee49cb2c3b8f83465d561e1b65fe8f2764f49d0

Observation f4bf7a61-d659-4884-8fb0-b09fc171abc6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Enhancing RLHF with Human Gaze Modeling DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.251432Z digest=sha256:c8e167a750c96b9399b3f838a2c8c141a7e2bb361a7b983e9e48b7aca54968b2

Observation dbd1009f-985f-4b4c-8c01-8aa5fee58fac · outbound

This paper cites an unresolved cited work.

Enhancing RLHF with Human Gaze Modeling Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-06T18:11:16.262437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.262437Z digest=sha256:816112eef30c96c5bf22234435825973f3bf66d3dda7468b0215009ca54f301a

Observation 612b616f-b551-4b65-85ba-de4adf22dcd6 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Enhancing RLHF with Human Gaze Modeling Fine-Tuning Language Models from Human Preferences

Reference 13

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no resolver link, observed 2026-08-06T18:11:16.321723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.321723Z digest=sha256:0c17c4a7901eb34ff90b2867632158a2d88b34c764ba717a95f854d5f142f9d7

Observation 941c1dc9-e81f-46c1-b7e4-91600236d5f3 · outbound

This paper cites online" 'onlinestring :=.

Enhancing RLHF with Human Gaze Modeling online" 'onlinestring :=

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.388453Z digest=sha256:8e262bae1f44d2d981ad32878ac10d02b4ec53d2811c0f9de9d0c43d48bbd90a

Observation 0e7fc508-6a5c-45c1-9d8e-bdbf6c3dc9a8 · outbound

This paper cites write newline.

Enhancing RLHF with Human Gaze Modeling write newline

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.449924Z digest=sha256:7aa3ff8f281aef47fbcf462e2d76f69998db6fdc0383fab83bc0734b237ce471

Observation 63410ba1-b633-445c-a2d4-9ea736c354dd · outbound

This paper cites Attention is all you need.

Enhancing RLHF with Human Gaze Modeling Attention is all you need

Reference 16

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no resolver link, observed 2026-08-06T18:11:16.504921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.504921Z digest=sha256:16d7012eb99fdac45ba49d326c9d93381d0e888f31d9ae0de330248371aa29b8

Observation ba9dfe0a-dc23-40be-a85c-ad7b0c708e27 · outbound

This paper cites Supervised contrastive learning.

Enhancing RLHF with Human Gaze Modeling Supervised contrastive learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.888554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.619259Z digest=sha256:ec0ccecd4aa75b7d778cccf4158c1ab367abdf0b8220ca517401668357045465

Observation 9997120e-bcf0-491d-87d1-43bd748fcb81 · outbound

This paper cites Codet5+: Open code large language models for code understanding and generation.

Enhancing RLHF with Human Gaze Modeling Codet5+: Open code large language models for code understanding and generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.753607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.691299Z digest=sha256:3562e7e18774620cdccd6b8784e3788e6e6d91f609ef3ec1d0b870c560bed142

Observation e119e292-0593-46ab-983b-5bea322f6833 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

Enhancing RLHF with Human Gaze Modeling Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.772525Z digest=sha256:0fc644ca5e953d1269cc6e59bf1041de6fe548e1a56b6332c695daecbfa92aa2

Observation 9107796e-0247-43f0-9972-49a4f170c20f · outbound

This paper cites Low-rank adaptation of large language model rescoring for parameter-efficient speech recognition.

Enhancing RLHF with Human Gaze Modeling Low-rank adaptation of large language model rescoring for parameter-efficient speech recognition

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fa131fcd-4231-409b-8c0b-29a5b8628640 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

Enhancing RLHF with Human Gaze Modeling AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 21

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no resolver link, observed 2026-08-06T18:11:16.866634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.866634Z digest=sha256:34fd2a95d6374421bd5aea2de8fbe7f506ece36f8f96360900fa5030822a93cc

Observation af2dc072-2580-4a74-96d3-01141b8b2eca · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Enhancing RLHF with Human Gaze Modeling The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 22

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no resolver link, observed 2026-08-06T18:11:16.937150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.937150Z digest=sha256:2ee02d8a2e4556e38c68d633d422173ebd82c02be56cbd69b1e66ebd215d1eb1

Observation 987f26ad-a495-4ad0-b150-688fc7bb624a · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.

Enhancing RLHF with Human Gaze Modeling Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.589692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.982332Z digest=sha256:e728358fef95df1ff7b17f82044ff39ebd4f4db847d27f40429c4cc9ef301bc8

Observation e246626b-9c9a-4bcf-991d-41a018edafa1 · outbound

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

Enhancing RLHF with Human Gaze Modeling CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.047310Z digest=sha256:ee043aa83dc88ffd76766a1866a782cbef5cdf97a94ca5d034a854221b6075ef

Observation 70fc65b4-8e97-41f5-a928-3ffebcf67f0a · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021.

Enhancing RLHF with Human Gaze Modeling Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Reference 25

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source=arxiv_source observed=2026-08-06T18:11:17.061360Z digest=sha256:4202882fe1a38d40230badcc0e5c968d9e0208df2482a9a7f28660160fc539d2

Observation 19cb96ec-53e2-430c-b51f-56a5b5bf392b · outbound

This paper cites A neural framework for retrieval and summarization of source code.

Enhancing RLHF with Human Gaze Modeling A neural framework for retrieval and summarization of source code

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.516321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.129890Z digest=sha256:ce8d596e4a89d203b4e0ee9bc0222771bb9c0ca27871bd41915ac6cfbf7d818e

Observation 8e91ad1a-28c4-4ae4-9385-0b0cb8122892 · outbound

This paper cites Survey of code search based on deep learning.

Enhancing RLHF with Human Gaze Modeling Survey of code search based on deep learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.444372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.145912Z digest=sha256:19fa3d3f7c3779baa9558801d25da2db8a9414d89ab8d2e028e324493c94765f

Observation 79b1bf6f-5d1a-48e2-9116-8e3f5146d2a7 · outbound

This paper cites Rosf: Leveraging information retrieval and supervised learning for recommending code snippets.

Enhancing RLHF with Human Gaze Modeling Rosf: Leveraging information retrieval and supervised learning for recommending code snippets

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.381720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.162723Z digest=sha256:0378848ef76beed2afdfaa58512058da2b447d128dd021a612bfd6f427467a59

Observation d0529bbc-fcb9-41b3-871a-d9ef5c0cec66 · outbound

This paper cites Sniff: A search engine for java using free-form queries.

Enhancing RLHF with Human Gaze Modeling Sniff: A search engine for java using free-form queries

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.308746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.216836Z digest=sha256:9a25083717edfc9336f0259ecfa4d9c457a22d334bc69b5313bbffe058452239

Observation 509fd0b6-6135-41c5-bdab-f760b591325b · outbound

This paper cites Nl-based query refinement and contextualized code search results: A user study.

Enhancing RLHF with Human Gaze Modeling Nl-based query refinement and contextualized code search results: A user study

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.240680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.275130Z digest=sha256:dbab923e7fe99ab8ac19297b0bfbb9f1046b78baa42df757b812f8ffa783a855

Observation dc49fc0d-8ae9-49d8-a472-d9fc3e34745c · outbound

This paper cites Bimodal modelling of source code and natural language.

Enhancing RLHF with Human Gaze Modeling Bimodal modelling of source code and natural language

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.146731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.366319Z digest=sha256:cf6c892a794c6aea1084efeb42ef9622e29cd1aff16eebd2632ea61d4f82e02b

Observation 3f01c3ea-7025-44a7-a973-522dd045b633 · outbound

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

Enhancing RLHF with Human Gaze Modeling CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 32

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no resolver link, observed 2026-08-06T18:11:17.427396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.427396Z digest=sha256:bb8bb91fd397785d4f83e7ca99eced082d5c9ade0568648fbb5afafac8802d4d

Observation de7cba3b-e59b-42fe-b552-9f9c8d951b86 · outbound

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

Enhancing RLHF with Human Gaze Modeling GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 33

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no resolver link, observed 2026-08-06T18:11:17.505853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.505853Z digest=sha256:3aea567360288e73ef0fe1ae8e5a94e198f002192398590994c8f02c60c1a9d7

Observation 0cb873f5-3d83-4e10-8219-2fbb9a90f47d · outbound

This paper cites Comparison of graph embeddings for source code with text models based on cnn and codebert architectures.

Enhancing RLHF with Human Gaze Modeling Comparison of graph embeddings for source code with text models based on cnn and codebert architectures

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:21.011856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.539931Z digest=sha256:dc1de9fcee062bf813d64e8d4e168f69792de970e8770d04c175fd86ca1014f9

Observation bb92ce0a-c8c9-420a-b5c4-d82a5f126286 · outbound

This paper cites A novel neural source code representation based on abstract syntax tree.

Enhancing RLHF with Human Gaze Modeling A novel neural source code representation based on abstract syntax tree

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.869716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.584552Z digest=sha256:69c3739fc6293dff7da4a13c86c74bae88e8905bc6d171aa9356bbba6181269d

Observation fa3f9530-f6c6-4b31-880c-146378ec7203 · outbound

This paper cites Retrieval-Augmented Generation for Code Summarization via Hybrid GNN.

Enhancing RLHF with Human Gaze Modeling Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 36

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no resolver link, observed 2026-08-06T18:11:17.652951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.652951Z digest=sha256:526a25d3b6d887a562b701dd7c4acfcee7d344821a86b6213b05ad1c617dbbb6

Observation 1a02622e-c26b-4341-9f7a-adebede6942b · outbound

This paper cites Multimodal representation for neural code search.

Enhancing RLHF with Human Gaze Modeling Multimodal representation for neural code search

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.776229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.717699Z digest=sha256:17598391be1125cf4c5d791e0b28ea15a51a4f0bfed4e1a3bd1966d4b7bb611e

Observation 9e3e14a9-44e7-4517-84b0-d3266b8d988e · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

Enhancing RLHF with Human Gaze Modeling Text and Code Embeddings by Contrastive Pre-Training

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.742416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.742416Z digest=sha256:41eaef8845446f232ca3ec9af68e3e9cbaabe26404b48d1e5ab6704e9e5d60b4

Observation 17def1db-fb88-4ee0-b33e-bf52a3515e17 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Enhancing RLHF with Human Gaze Modeling Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.796208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.796208Z digest=sha256:0019d79d0a6c61b745ad232f59e321109f0a5495f8119453fb3bbf558067bdd4

Observation 49e62bf0-285a-4e4e-b3e8-64db6a7303db · outbound

This paper cites Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.

Enhancing RLHF with Human Gaze Modeling Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.856541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.856541Z digest=sha256:d66bd93b50b49504aae7a6331af7d07fb5e3964964d371333d5971e4e900b3a1

Observation 61f498a0-9176-4fe0-bb0f-98179a828d02 · outbound

This paper cites No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.

Enhancing RLHF with Human Gaze Modeling No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.666704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.906366Z digest=sha256:8ff8dbaf162a1edd6917b4a783942830f8440042ff4c5bf784a344d09c70a21c

Observation 2e9e1ddc-8667-44b0-a21a-6536d793b22c · outbound

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

Enhancing RLHF with Human Gaze Modeling CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.942358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.942358Z digest=sha256:89f4c7658ad91f9c65dbd76f7f0121e19da3e942be4d7d946868252a8ee53804

Observation 9e5292aa-ba79-4cc5-97db-9a4a50115d96 · outbound

This paper cites Self-supervised learning: Generative or contrastive.

Enhancing RLHF with Human Gaze Modeling Self-supervised learning: Generative or contrastive

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.540095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.988530Z digest=sha256:2a0332f4c2664989fdcbc535df86239d257b59bd2b645e1933872f961e356b35

Observation d2e86f54-df81-41b2-aa97-e404d266d946 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Enhancing RLHF with Human Gaze Modeling Learning transferable visual models from natural language supervision

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.449645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.077457Z digest=sha256:03b07f8767267f6eac36a7d5354261a3affa1eda2bfa21dd94471f9992013202

Observation 45a60847-61cf-4f7a-bc67-400d61bc2081 · outbound

This paper cites Contrastive multiview coding.

Enhancing RLHF with Human Gaze Modeling Contrastive multiview coding

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.291113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.140889Z digest=sha256:222c1a77a02f975d19c982777b1bbbad59d8506ee4cd0b71b03c8f7b379902ea

Observation 3be8b282-83bb-489e-ae3c-edbade85d49e · outbound

This paper cites Graph contrastive learning with augmentations.

Enhancing RLHF with Human Gaze Modeling Graph contrastive learning with augmentations

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.196780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.179294Z digest=sha256:56089f87bc17a1b82d221a000271bad43fc14349ebd69a29e61c0dfe5153a06f

Observation 73a98453-35a0-43fe-b913-ad29c2dd8679 · outbound

This paper cites Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition.

Enhancing RLHF with Human Gaze Modeling Contrastive learning with cross-modal knowledge mining for multimodal human activity recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:20.037329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.226374Z digest=sha256:0855396820cfdb4cd047e04f546dc4476198a019a60a5b740c7d413deefccf78

Observation 3be1af22-f55b-4e56-9205-63d2ccf3f465 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Enhancing RLHF with Human Gaze Modeling A simple framework for contrastive learning of visual representations

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:18.283931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:18.283931Z digest=sha256:f208121caf1670e8c758b78acd1cb1efdd7e05f5528b17cc20a79139dfbd5930

Observation c1506646-8bc8-4ca8-8670-5c042bd0b330 · outbound

This paper cites Self-supervised contrastive bert fine-tuning for fusion-based reviewed-item retrieval.

Enhancing RLHF with Human Gaze Modeling Self-supervised contrastive bert fine-tuning for fusion-based reviewed-item retrieval

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:19.844853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.309893Z digest=sha256:06fca4f61f1f6b8c61027ea8b2bd292dc4cacc791eed56ad5c397eb5dfd85e8b

Observation 46e9afbc-46ee-4521-9e77-7935e11ed7e1 · outbound

This paper cites Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning.

Enhancing RLHF with Human Gaze Modeling Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:19.697973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.413392Z digest=sha256:a10788608da4777c3720fca9f4b40adf57b692ec27f79120ed59896421e50909

Observation 8369c4c5-dc60-42d0-862f-72a384503002 · outbound

This paper cites XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.

Enhancing RLHF with Human Gaze Modeling XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:18.458825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:18.458825Z digest=sha256:f1c7f9188d38d48d32d378cb57aa89b3faca3d5f2251c44fd8a85847c2efabaf

Observation b51eae7b-fbe3-4bb3-97f7-f1b1a133b19f · outbound

This paper cites Staqc: A systematically mined question-code dataset from stack overflow.

Enhancing RLHF with Human Gaze Modeling Staqc: A systematically mined question-code dataset from stack overflow

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:19.570350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.513215Z digest=sha256:d9ad2781dce20a46c0b51f7732579ddb09dadc7cbf431aa7bf5a70e711d62337

Observation 0c4c7ec4-d166-400e-829d-0abce00ffad4 · outbound

This paper cites PyTorrent: A Python Library Corpus for Large-scale Language Models.

Enhancing RLHF with Human Gaze Modeling PyTorrent: A Python Library Corpus for Large-scale Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:18.552851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:18.552851Z digest=sha256:bf35f0db29d92a99e858776a9ed34154aa772ce88218444f31d67d757e304580

Observation 378e84a6-2878-45db-b387-9c224016a3c7 · outbound

This paper cites Search4code: Code search intent classification using weak supervision.

Enhancing RLHF with Human Gaze Modeling Search4code: Code search intent classification using weak supervision

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:19.436726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.616064Z digest=sha256:2def1805aa2befbf16b15cada8c8fa2fcc9b77463f9c719888ef0e4040093120

Observation 5cf5158a-fd17-4187-9e49-a1bc4a2fc22d · outbound

This paper cites Semantic Code Search for Smart Contracts.

Enhancing RLHF with Human Gaze Modeling Semantic Code Search for Smart Contracts

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:11:18.941088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.662649Z digest=sha256:ba4331ea6fcc8414cca1327207691049d25dad6f1b5c7a03dc2151688b1fda1b

Observation 31331050-f27f-4565-a991-4d749c72b6f1 · outbound

This paper cites Isadetect: Usable automated detection of cpu architecture and endianness for executable binary files and object code.

Enhancing RLHF with Human Gaze Modeling Isadetect: Usable automated detection of cpu architecture and endianness for executable binary files and object code

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:19.286269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.706136Z digest=sha256:bb20cf9ebf011b09252cac53631d1837dd673ece0c12ea3b2fc6f3573f61451d

Observation 3a2f4bbb-cc6f-4d56-81c0-f687588a51b6 · outbound

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

Enhancing RLHF with Human Gaze Modeling DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:18.757859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:18.757859Z digest=sha256:c88264c68c51c7140b82a595f3f92fb68dbaa5fc679763fa7e4a6d1bf7d68ece

Observation 636ae2ae-0b51-4828-871c-04b442108990 · outbound

This paper cites ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks.

Enhancing RLHF with Human Gaze Modeling ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:18.809262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:18.809262Z digest=sha256:7d7959d2f6b718effcdd0c84f8e907e892c0eca4e5f4c7c6267e08f438217c5b

Pith citing papers

No inbound Pith citation observations are available.