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Paper Citation Record · LEDGER

Enhancing RLHF with Human Gaze Modeling

As of 7 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 2026-08-07T06:34:17.273281+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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unresolved
raw_fallback, observed 2026-08-06T18:11:22.206826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:15.599561Z digest=sha256:d1de97da76020d7d8427bfa8b31f70ada63d5d37d0f3e3a938324b2422435f9d

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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no resolver link, observed 2026-08-06T18:11:15.660640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.660640Z digest=sha256:abb2743eb2eda6c3c06b75af11fd080af8d7c85df9c94b6bf3a3f029e650a20a

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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unresolved
no resolver link, observed 2026-08-06T18:11:15.717117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.717117Z digest=sha256:d72b6750072e2b321359061feacabfa4e7417c13a2aa9de720ce9d705effd44d

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

Resolution
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no resolver link, observed 2026-08-06T18:11:15.800634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.800634Z digest=sha256:4770282f7fc9098982f40aa29598e3113912bd16dcf262515f557e51f9cec53c

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:11:22.124616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:15.875540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:15.875540Z digest=sha256:5cb9359fba271d56779c45e6ab7fbcf6ab386c5dedba8fb2704dbed0b4d254d2

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
unresolved
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=sha256:8b0754666b0e01a4fb2f95937a8a85842dad12e89e089eb7e3c9e95964963131

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.011470Z digest=sha256:c10b602d1c6e7fe75e51782292f421af75436938a8f2780e93c4bdb9e0d1d583

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:11:22.000841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.088369Z digest=sha256:6d599f52ace089c2d1c3c84b7d6cc843d3478e6c03e2e11dd618ccb114818d55

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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no resolver link, observed 2026-08-06T18:11:16.214877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.214877Z digest=sha256:9865b2b11c4829fda720c2f5443f4dfbee4a4c1a584b97c7bf8df0253d7cdcbd

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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unresolved
no resolver link, observed 2026-08-06T18:11:16.251432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.251432Z digest=sha256:e186227fc71a538e1024fe46ea9803a199a89faaff2f853951b463383d529990

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

Resolution
unresolved
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:f4ba8ecfe37c02502193caef640fa4504537e2454f847b322ab310f44d1f7143

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

Resolution
unresolved
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=sha256:8288ef5590f00339b1899dcfa62f5ce5698c044cf29e50676ee98cf94e1cd6ef

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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unresolved
no resolver link, observed 2026-08-06T18:11:16.388453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.388453Z digest=sha256:6b8026a2bf888e093da44f9d2b0b06776a51ca8b68061582198cf903cd63b01c

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

This paper cites write newline.

Enhancing RLHF with Human Gaze Modeling write newline

Reference 15

Resolution
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no resolver link, observed 2026-08-06T18:11:16.449924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.449924Z digest=sha256:256b147c25bbb304911620a95b2e9902897ab9987e1e76e02649f931f1da4544

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

Resolution
unresolved
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:b724573e6015c0c26b97bb93033c7ae457fea6c4c1327e3f4500996fd41a9e01

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.619259Z digest=sha256:c9b4fba69e9a663713f863274885e5e31a09b0984d3ff6dd15b508895ab744c7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.691299Z digest=sha256:b8513d06e4b9a0edc868b89d4a983ac27f4677f60032379163304884b0383922

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

Resolution
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no resolver link, observed 2026-08-06T18:11:16.772525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.772525Z digest=sha256:55d1f570994ea5294bca36a7d31272cd56389771998fee49ebdcad6889c2161b

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
raw_fallback, observed 2026-08-06T18:11:21.656071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.839462Z digest=sha256:f0b820d80baef96782888565c2ae7ddf6d8b12cd87f428e1244a80bc94c5bcc2

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

Resolution
unresolved
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=sha256:0e1e3aab912c5ac77084c2b0f306251fc8cf1f28429bc8905256851a2bd207d6

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

Resolution
unresolved
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:fcd4d46c931b8c2bf3955258901d625d0548d86f9dbf3a80be42883503709971

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:16.982332Z digest=sha256:36f26430fff633910653caa6e3eaf39bf2718009eaa7fb27872d4304dd5c30c6

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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no resolver link, observed 2026-08-06T18:11:17.047310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.047310Z digest=sha256:9af65839baceda240c6b6d01ff0e3e72cad397a8235f95e3c02f903bdafc65d6

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

Resolution
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no resolver link, observed 2026-08-06T18:11:17.061360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.061360Z digest=sha256:2494b9e6b8688eb9cd3c8f1158137206db7cd30ce1f56eb44b657a46068c3f80

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.129890Z digest=sha256:cc5823d417f001587e25bb6da5f5168a300e66ea3365478973a72fbd640f6cdd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.145912Z digest=sha256:ccb7cbae396b87f76530e44798c6d7034642103e4a3ce3a5e9b9cad3fbd7da2b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.162723Z digest=sha256:9d414b7ce6aacea383d0d826ceb81d105fc51ace259895a0d6b9551afd226cc0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.216836Z digest=sha256:e2767d160ccaf8c155a925915181f4096ea1bc308ff6c6285b348711b17c2a5b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.275130Z digest=sha256:109caca6915e9ed11bc0d10bf57d7a95737d9340dae7ca67ac23aa11b7fd5c61

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.366319Z digest=sha256:3acc483cf2bb472f9891e285c6545d6337c1ae4d8f00ba90f92d7d8618e40219

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

Resolution
unresolved
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=sha256:9a2a1a9a225bf24f4139dc84eeaa214370fc7e22f3e67d650c3e5dacc91fe750

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

Resolution
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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:dc1eaf254b25696c4f89a981d448aae0296e46df02eeb9be3077fa3aae23643f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.539931Z digest=sha256:18055bd223e5be613c9cf9d71d0a001624f36d0d7084f732c6a54aa19be136aa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.584552Z digest=sha256:d469d366feffe45553f474d0981e11766ef8549ca06419fff4a14b612d41168e

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

Resolution
unresolved
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:f8a221e5bac544338bda77b2bde0f902b1d8b0dbfa58a40c5225d07c86e7151b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.717699Z digest=sha256:0ba2a1af8597a1a03ea5cfb0469058724617c7a40230d290f88f1ea6d5c0b210

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=sha256:8075a6a63416b7ded47cd959bf0eb8c96d91555177262e77559e424587d74a99

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:c95b4461eeb14f420cc8231c3a02ef309ad54d3c8f576069d16b865673f278eb

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:d713dc7c65632c574bdd3af979b1656856a255fd2e875dec5dcc403f113ead0b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.906366Z digest=sha256:fd1a834c385156e49fe689d29b44f57f29b047db56a97a2353acc5520149b528

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=sha256:6f8a635c4bc10778d91daa0e52f56606fd15cb79817ad93ffda4a658aa1da61f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:17.988530Z digest=sha256:e189fa093207abbb23fe12ba3f50d927a71dded45353c749c5c445e7880f84a9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.077457Z digest=sha256:d79c7ce8a493da31371075ec68e2a95440b7687985efdffde22bc7922b9e09a6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.140889Z digest=sha256:66d2dfde6f2b2e1a1861d30229a61cdc4d5356f773bb1ca071e534ea56a7f1c0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.179294Z digest=sha256:8d4e69ece8e7c2b9b233dae4ef1771a28f09936eb8f5c181e7ee08c5c7dc6be3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.226374Z digest=sha256:b902bc8ec28b17a6756a80fcc6a9a8e709134a36eb37c40140e47cc58cc86e71

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=sha256:65bbff46fd0afe87a6a75db0e107c485b3832bc4c9a55373fc44d7e807b40041

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.309893Z digest=sha256:5acc0433e50e9d8ad4731bbc45ab2660ca39eac82609c2805e1cfb31c2a734af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.413392Z digest=sha256:601ab2e397f4b65ee91424bee830cf553496542dc8c71f92743b17fd5fbeabdf

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=sha256:4a86af4e8660aef13429e1b8eeac282e123e35294b22baaf63a59571f5b6a961

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.513215Z digest=sha256:79cccb590b929336c87826575fc4c3dd05ad510e5b3da5d8e7bd697261a8bc7a

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=sha256:43928afc4766f90edaa3b79deb561a2b4c0900e7157d3ceded059b5d7ad6e6d8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.616064Z digest=sha256:f949b1181c633ba03bfe1fe18fced55c1b54d9204438feca3e336055fea7e3a3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.662649Z digest=sha256:0afed7b683dc688ce7c2353cf0e60c0c6daacc7258fcb3d13d7d7d8f4bf01bf1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:11:18.706136Z digest=sha256:819247ca289618403530c32b72a4e8fdd8d2823ea8171ac10a77cf619cbf7d58

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:e845a48439fb266fa6984925cc2b851739503251042a3700d60c26fa7ff335cc

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=sha256:0cafb1d21d9786fabca4d750e0824fefa893feee043ac1cfd209d5a199dd568b

Pith citing papers

No inbound Pith citation observations are available.