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Paper Citation Record · LEDGER

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.17382.

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

pith.paper-citation-record.v1
2607.17382 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:14:44.320603Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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  • verified fuzzy0
  • unresolved56
  • parse uncertain2
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External citation measurements

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Outbound references

Observation ff8d17cb-d185-40c5-bf4f-89feb97e2832 · outbound

This paper cites Bevendorff, M.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Bevendorff, M

Reference 1

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Observation 5b78ca6d-74f9-4a37-920a-59d702a10b43 · outbound

This paper cites Fröbe, M.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Fröbe, M

Reference 2

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Observation a732e5b2-0508-4a6f-b768-d9183e9042de · outbound

This paper cites Bevendorff, M.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Bevendorff, M

Reference 3

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Observation eb0faa55-759f-478d-9f47-314e51d03b77 · outbound

This paper cites Voight- Kampff.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Voight- Kampff

Reference 4

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Observation 249ac136-8ce0-47ce-b2af-3cca0ca48111 · outbound

This paper cites DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models

Reference 5

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Observation 1ace254e-b460-4806-8680-cd569fd92c9f · outbound

This paper cites Dugan, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Dugan, A

Reference 6

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Observation df611bec-8997-44b4-9257-b801cb564c0f · outbound

This paper cites Compton, L.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Compton, L

Reference 7

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Observation 87080fb5-2e87-4ddc-bee5-a75e43428bd9 · outbound

This paper cites Technical Report on the Pangram AI-Generated Text Classifier.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Technical Report on the Pangram AI-Generated Text Classifier

Reference 8

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Observation d80f4a9f-3fd8-4345-988d-022650986e08 · outbound

This paper cites Korakakis, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Korakakis, A

Reference 9

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Observation 12822aa9-40f6-4e54-b352-c2879543afde · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 10

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Observation 18e4518b-d3ad-4a33-a77d-a12273f055b3 · outbound

This paper cites Warner, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Warner, A

Reference 11

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Observation 9ded8488-db12-4e82-9e68-b0bfa9c280b9 · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-01T18:14:38.588774Z digest=sha256:46ea9456acdad008c55402731644951b1639b4089737f71803004360f76dd07e

Observation 9e12dd60-ac6d-48ab-9e9a-b69eb873c70e · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 13

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Observation 4ae235c9-3fcc-45be-9ccb-feb348dac087 · outbound

This paper cites Schler, M.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Schler, M

Reference 14

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Observation d7bcdc93-fe1f-48ee-97d2-a9ff453098ad · outbound

This paper cites Zhang, X.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Zhang, X

Reference 15

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Observation 0cb9feb6-35c4-4745-895b-865e79764137 · outbound

This paper cites Chiusano, 190k+ Medium Articles — kaggle.com, https://www.kaggle.com/datasets/ fabiochiusano/medium-articles/data, 2022.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Chiusano, 190k+ Medium Articles — kaggle.com, https://www.kaggle.com/datasets/ fabiochiusano/medium-articles/data, 2022

Reference 16

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Observation a2d7bf0b-37b7-495b-8b2e-18dfed9a6a35 · outbound

This paper cites Saxena, F.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Saxena, F

Reference 17

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Observation f67ba849-c7b3-4bb4-abb5-86b593df5d27 · outbound

This paper cites Edwindra, GitHub - ledwindra/nber: Scrape and analyzie NBER working papers.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Edwindra, GitHub - ledwindra/nber: Scrape and analyzie NBER working papers

Reference 18

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Observation 8ae95df2-1ab4-4472-b9c9-78cb625f3af4 · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-01T18:14:39.407545Z digest=sha256:62570427c51a7ead4d8396e3334a5498db06be9b0c3d9b6d3e918d6703ca9f06

Observation 39304cdb-5e7c-4733-99bf-0a0f9f9f4fe6 · outbound

This paper cites [Accessed 28-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 28-05-2026]

Reference 20

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Observation 22900b9c-4976-4c78-a1c8-4ae475d91ca8 · outbound

This paper cites [Accessed 28-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 28-05-2026]

Reference 21

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source=pdf_text observed=2026-08-01T18:14:39.642247Z digest=sha256:184e49bcd1f9d71fc92c3003247ca747530cf9e706a0928b57a50da3581f0d1a

Observation a536d671-f748-4747-ab5b-ff185c57a064 · outbound

This paper cites [Accessed 28-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 28-05-2026]

Reference 22

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Observation 1d420109-bdcb-4d1a-b15b-f34b326ff85a · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection GLM-5: from Vibe Coding to Agentic Engineering

Reference 23

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Observation 566710de-30fe-421c-b7e7-c0c3d4c016fc · outbound

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Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 24

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Observation fa7a98ca-a5b8-4157-a7c4-247f965de264 · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 25

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Observation 40e1a40c-2e46-4445-b59f-c967b74b9537 · outbound

This paper cites [Accessed 28-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 28-05-2026]

Reference 26

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Observation f22f7f67-060f-40b1-a120-f7a27a44fcd5 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Kimi K2.5: Visual Agentic Intelligence

Reference 27

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Observation 21fb2f06-fe5d-424d-b7ba-d5d19b1e60a8 · outbound

This paper cites [Accessed 28-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 28-05-2026]

Reference 28

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Observation 71141841-836d-4ec3-aab3-666b634dff94 · outbound

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Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 29

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Observation c845b67c-0797-4485-84c9-d9ecae26fd7e · outbound

This paper cites Tolstykh, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Tolstykh, A

Reference 30

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Observation ae168df9-ea06-468e-a2ed-8fcf26e5d7ef · outbound

This paper cites Gugliotta, L.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Gugliotta, L

Reference 31

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Observation 01056f11-01a2-4937-885d-aab8c25f20cf · outbound

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Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 32

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Observation f67ab343-2c98-40bd-930d-8eb82e41105f · outbound

This paper cites MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark

Reference 33

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Observation be1c2794-d202-4d37-ba3b-b7bcda46dda1 · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-01T18:14:41.101927Z digest=sha256:f3e39abf834b85de2236d9cf6125e70f9353641410f58060ed198cbf63432886

Observation 82901381-b870-444d-8a0b-3cc356c6d1ac · outbound

This paper cites [Accessed 17-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 17-05-2026]

Reference 35

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Observation 3fdae976-4826-4542-8ad1-8be5b34983ff · outbound

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Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 36

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Observation e48fd757-5554-447d-8348-b2ee3f4dcfef · outbound

This paper cites Bevendorff, D.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Bevendorff, D

Reference 37

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Observation 6c9d9d86-c3ad-4671-b35f-8c93d4f7e68f · outbound

This paper cites Reasoning-Aware AIGC Detection via Alignment and Reinforcement.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Reasoning-Aware AIGC Detection via Alignment and Reinforcement

Reference 38

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source=pdf_text observed=2026-08-01T18:14:41.171049Z digest=sha256:42912406bab326f3f67001a7ef4f8339783a797212192e167b024ec3f5fff85c

Observation ae6ad649-565a-46a9-9390-a9af9bd121c3 · outbound

This paper cites A Comprehensive Dataset for Human vs. AI Generated Text Detection.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection A Comprehensive Dataset for Human vs. AI Generated Text Detection

Reference 39

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source=pdf_text observed=2026-08-01T18:14:41.623915Z digest=sha256:3a8a99a69da6ea84767387161901091eda47e77ef2b3bd97ba715eeda914c19a

Observation a172326d-8b64-48d2-a1c1-82c54f1cf864 · outbound

This paper cites Tripathi, EndLessTime/SAGE·Datasets at Hugging Face — huggingface.co, https://huggingface.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Tripathi, EndLessTime/SAGE·Datasets at Hugging Face — huggingface.co, https://huggingface

Reference 40

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source=pdf_text observed=2026-08-01T18:14:41.709188Z digest=sha256:e9e94355ff7134547a03cc0cd9c3a1e8b5a46373874e6843fd3a054d93b15555

Observation 6fe6f44b-f441-4234-b1ec-7f63cee83671 · outbound

This paper cites Hamborg, N.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Hamborg, N

Reference 41

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source=pdf_text observed=2026-08-01T18:14:41.556011Z digest=sha256:d56cd9a32449ee1ef1465aa66f9b7c48820f2b6dcf96d20513fa3f1b1902c617

Observation 21d8f612-25c9-47d9-a9cc-71a744e56192 · outbound

This paper cites Beemo: Benchmark of Expert-edited Machine-generated Outputs.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Beemo: Benchmark of Expert-edited Machine-generated Outputs

Reference 42

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source=pdf_text observed=2026-08-01T18:14:41.850474Z digest=sha256:17df4f093f55a4fa7ce5018f6e0391e8ff4909ee823ab023d96e2e0ad479976f

Observation 111538ca-f58c-41fd-a098-52b2170a715b · outbound

This paper cites CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection

Reference 43

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source=pdf_text observed=2026-08-01T18:14:42.038750Z digest=sha256:7e7562aa94142d1924c8dc8331a4158909e8f3ada5c7572a45d289d3e40ef6aa

Observation 2c66cec5-f128-4d23-8cf6-79c5611490cc · outbound

This paper cites Gromadzki, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Gromadzki, A

Reference 44

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source=pdf_text observed=2026-08-01T18:14:41.778432Z digest=sha256:49490f832590889b920fc9ea54aa7d276978d36d874dfc72a31713909c96919e

Observation 7d523478-ac1d-4f99-8684-4f98db8dbf8a · outbound

This paper cites Ben Allal, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Ben Allal, A

Reference 45

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source=pdf_text observed=2026-08-01T18:14:42.396068Z digest=sha256:0f585795464d3b48df26e3f08f3b009716d7d944494bb0ded99cceb491c13240

Observation 17a4b770-c778-4a9a-be2f-8b5dcb9404ad · outbound

This paper cites [Accessed 18-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 18-05-2026]

Reference 46

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source=pdf_text observed=2026-08-01T18:14:42.531621Z digest=sha256:1636e34f36da0e384dbc9820df381014dca654759f0ace8c577d2a87e222bd1e

Observation 00fab350-ef43-4866-959d-ee141d8751eb · outbound

This paper cites Conover, M.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Conover, M

Reference 47

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source=pdf_text observed=2026-08-01T18:14:42.254602Z digest=sha256:87bddba025e0d43046d0a7682f0bc973953c58b4a24bbaff24cfb42530893334

Observation aa1b1ab1-b74c-431c-ad41-077016d2fc32 · outbound

This paper cites Jabarian, A.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Jabarian, A

Reference 48

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source=pdf_text observed=2026-08-01T18:14:42.798617Z digest=sha256:34a6b208d09a2d06b399bc4032acc78537a907b233c672ea098620120bf983e3

Observation 3c313e43-75e3-4980-bb4a-7e6cc7c6b65e · outbound

This paper cites Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics

Reference 49

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source=pdf_text observed=2026-08-01T18:14:42.937930Z digest=sha256:93623595ebc820befc89b84798720754666e0c3f9ee0ef2a5d108d9cdf24ff0b

Observation f83b5ee0-c121-4782-9e2a-de6e27b4f2dd · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-01T18:14:42.673743Z digest=sha256:7ffa0a53c93523afd0dc04b62b8c630e040ad67be708f99e6ce0e67065830506

Observation 883464a8-5ced-42ed-8485-ec13969527c3 · outbound

This paper cites Esposito, Blitz - bayesian layers in torch zoo (a bayesian deep learing library for torch), https: //github.com/piEsposito/blitz-bayesian-deep-learning/, 2020.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Esposito, Blitz - bayesian layers in torch zoo (a bayesian deep learing library for torch), https: //github.com/piEsposito/blitz-bayesian-deep-learning/, 2020

Reference 51

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source=pdf_text observed=2026-08-01T18:14:43.226332Z digest=sha256:73c02cda1d6cc5d2e46c28d77a5c68057a5c7ffba3603c8f5906a3226ab61612

Observation 8a67e4ba-471a-48da-9c74-d40b19ceba80 · outbound

This paper cites Blundell, J.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Blundell, J

Reference 52

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source=pdf_text observed=2026-08-01T18:14:43.368566Z digest=sha256:341560704461ef4bfbb285bf4aa4d81e5597f1ea5930f7ba29d1b9103e7b507b

Observation 0c0743ae-b6b1-426a-9ec2-4a42530d799f · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 53

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source=pdf_text observed=2026-08-01T18:14:43.084276Z digest=sha256:7845a4f12291835e87bebc9e962aa1ab9e01b818ff656d4754db67f3e9c8351e

Observation 267c467e-575f-4e91-998e-42450001cf90 · outbound

This paper cites org/api/libauc.losses.html#libauc.losses.auc.tp{A}{U}{C}_{K}{L}_{L}oss, ???? [Accessed 28-06-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection org/api/libauc.losses.html#libauc.losses.auc.tp{A}{U}{C}_{K}{L}_{L}oss, ???? [Accessed 28-06-2026]

Reference 54

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source=pdf_text observed=2026-08-01T18:14:43.892977Z digest=sha256:916476ec20035d4bb966b76f33767263e21da0148a515b48e918b505939f9c15

Observation b76e2710-5d11-4264-b39c-23611d92ee06 · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-01T18:14:44.030245Z digest=sha256:74c0a43c264302a690f4814180b651e846bc547e677fac343285b3841d808649

Observation 03430705-dee0-41db-84af-8b990cba248a · outbound

This paper cites Virtanen, R.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Virtanen, R

Reference 56

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source=pdf_text observed=2026-08-01T18:14:44.174895Z digest=sha256:f4418783e976bc8d7fd3eb850d3c10a874c591e143743ac82549373c0c6d429f

Observation 0318aea4-3833-41e6-828d-07cc6b0d465f · outbound

This paper cites Swayamdipta, R.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Swayamdipta, R

Reference 57

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source=pdf_text observed=2026-08-01T18:14:43.749826Z digest=sha256:37ac8b27396839e878c652aa8d01bc2eaad980d9ce639498a35514095f4ded02

Observation 60385b02-9a45-4348-a2fb-10cf19c7e254 · outbound

This paper cites [Accessed 29-05-2026].

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection [Accessed 29-05-2026]

Reference 61

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source=pdf_text observed=2026-08-01T18:14:44.320603Z digest=sha256:efadbac11b6a158281a57f5873778557d731a135d1a8e8ed82dee9054076a1f4

Observation 57ab34e9-d39c-45c4-b054-64a09b89c9d2 · outbound

This paper cites Weight Uncertainty in Neural Networks.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Weight Uncertainty in Neural Networks

Reference 2015

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source=pdf_text observed=2026-08-01T18:14:43.604876Z digest=sha256:46dd6afe522881b92c2d97d0a200b314237358e8d6c11bc957a8931eb8253d4c

Observation cd258373-2951-4427-a3b2-3d76175621d5 · outbound

This paper cites an unresolved cited work.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection Unresolved cited work

Reference 2022

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no resolver link, observed 2026-08-01T18:14:39.466056Z

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source=pdf_text observed=2026-08-01T18:14:39.466056Z digest=sha256:d00f2ed95fd4ee4dc5fbe9013ec798f266b2bd90ac26ed824921c6b002536b29

Observation f7d69252-47d5-43e1-a32c-361f9031b298 · outbound

This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.

Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 2026

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source=pdf_text observed=2026-08-01T18:14:39.947220Z digest=sha256:f39ca7459d8d19b15ee01ffd1e7a38446269028d810613c054d2cfa9c6ae92fe

Pith citing papers

No inbound Pith citation observations are available.