Paper Citation Record · LEDGER

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2502.00690.

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

pith.paper-citation-record.v1
2502.00690 v1

Coverage vector

measured 54 of 54 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: pith, observed 2026-08-08T10:20:16.435671Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 2310a571-3319-431c-97c2-ad417d92c1d8 · outbound

This paper cites GPT-4 Technical Report.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies GPT-4 Technical Report

Reference 1

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Scientific labor market and firm-level appropriation strategy in artificial intelligence research

Reference 2

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Group fairness in peer review

Reference 3

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This paper cites Group fairness in peer review.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Group fairness in peer review

Reference 4

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This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 5

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Observation 696c7832-21dd-4d5b-8a26-d21529e61187 · outbound

This paper cites Desk rejecting: A better use of your time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Desk rejecting: A better use of your time

Reference 6

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This paper cites The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Reference 7

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This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The matthew effect in science funding

Reference 9

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This paper cites Time to rethink the publication process in machine learning.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Time to rethink the publication process in machine learning

Reference 10

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The simplex method of linear programming using lu decomposition

Reference 11

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving linear programs in the current matrix multiplication time

Reference 12

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This paper cites Solving linear programs in the current matrix multiplication time.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving linear programs in the current matrix multiplication time

Reference 13

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This paper cites Fairness in information access systems.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Fairness in information access systems

Reference 14

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Ai-generated research paper fabrication and plagiarism in the scientific community

Reference 15

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Fairness

Reference 16

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This paper cites The perceived fairness of selection systems: An organizational justice perspective.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The perceived fairness of selection systems: An organizational justice perspective

Reference 17

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This paper cites Computers and Intractability: A Guide to the Theory of NP-Completeness , volume 174.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Computers and Intractability: A Guide to the Theory of NP-Completeness , volume 174

Reference 18

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Towards long-term fairness in recommendation

Reference 19

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Bias and fairness in large language models: A survey

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Auto-debias: Debiasing masked language models with automated biased prompts

Reference 21

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Denoising diffusion probabilistic models

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Video diffusion models

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Deep residual learning for image recognition

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Effects of editorial peer review: a systematic review

Reference 25

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A faster algorithm for solving general lps

Reference 26

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Reducibility among combinatorial problems

Reference 27

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This paper cites A conversation on artificial intelligence, chatbots, and plagiarism in higher education.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A conversation on artificial intelligence, chatbots, and plagiarism in higher education

Reference 28

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Matching papers and reviewers at large conferences

Reference 29

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies User-oriented fairness in recommendation

Reference 30

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Towards personalized fairness based on causal notion

Reference 31

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This paper cites Duplicate submission and dual publication: what is so wrong with them?, 2013.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Duplicate submission and dual publication: what is so wrong with them?, 2013

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Path finding methods for linear programming: Solving linear programs in o (vrank) iterations and faster algorithms for maximum flow

Reference 33

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Linear and nonlinear programming , volume 2

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies A survey on bias and fairness in machine learning

Reference 35

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Investigating gender fairness of recommendation algorithms in the music domain

Reference 36

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Learning transferable visual models from natural language supervision

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Ranking mobility and impact inequality in early academic careers

Reference 38

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Denoising Diffusion Implicit Models

Reference 39

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Research and development - ai index, 2024

Reference 40

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Plagiarism, duplicate publication, and duplicate submission: They are all wrong! IEEE Antennas and Propagation Magazine , 45(4):47--49, 2003

Reference 41

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Oblivious sketching-based central path method for linear programming

Reference 42

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Chatgpt: Optimizing language models for dialogue

Reference 43

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Establishing sensible and practical guidelines for desk rejections

Reference 44

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies The state of the art in peer review

Reference 45

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Solving tall dense linear programs in nearly linear time

Reference 46

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Attention is all you need

Reference 47

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 48

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences

Reference 49

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Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Early-career setback and future career impact

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:11:45.066060Z

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Observation 9b12c2ac-1e83-4927-b3e8-096ced140df9 · outbound

This paper cites Joint multisided exposure fairness for recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Joint multisided exposure fairness for recommendation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:11:45.050473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd160c19-59e7-425d-a0e2-776a4635c35e · outbound

This paper cites Tokencompose: Text-to-image diffusion with token-level supervision.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Tokencompose: Text-to-image diffusion with token-level supervision

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:11:45.034097Z

Source-reported events for the cited work

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Observation 3814998a-dc1b-4a6e-9541-0f5b1c3ed120 · outbound

This paper cites Omnicontrolnet: Dual-stage integration for conditional image generation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Omnicontrolnet: Dual-stage integration for conditional image generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T18:11:44.885064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e73b0b9-b31c-4a2d-99f8-f37f11ce4439 · outbound

This paper cites Causal intervention for leveraging popularity bias in recommendation.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Causal intervention for leveraging popularity bias in recommendation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:11:45.008585Z

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Pith citing papers

Observation 92b3210b-cac9-4e6d-9844-9e637ef80506 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T16:39:14.126215Z

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Observation 4e4db1fb-01c6-4c2b-86a7-7df0cc3a0690 · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:20:16.439958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.