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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 13 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 2026-08-13T06:32:02.005865+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

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved56
  • parse uncertain2
  • malformed identifier2
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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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source=pdf_text observed=2026-08-01T18:14:37.353260Z digest=sha256:ae986ffe1ab847fe9e5dcc7df9b3dd6de64c399481f6bc00d59fbe77d5ca0c12

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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source=pdf_text observed=2026-08-01T18:14:38.272321Z digest=sha256:24a74c9949db140c2cbb14a7b0584b58206d2543a1e87eba9b646b6f8c97fa62

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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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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source=pdf_text observed=2026-08-01T18:14:39.156685Z digest=sha256:9bd1687c124fd47ab7e769066c42a5e7a22cb4bdfb0652df99c5e618b2527f0e

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-01T18:14:39.236352Z digest=sha256:dcb6c6b28ad6e67e794082b7865f720daff1ad60ffad49fe80fa28f9b89c084d

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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source=pdf_text observed=2026-08-01T18:14:39.319061Z digest=sha256:38228b515b2233679be8d01ddf112326ed4fbf908c3754176b25abb9d178bcd0

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=sha256:7060a3addf677371f5e2a0271d951920e7ef6cde601c77ba1d64f8baf14080b1

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:a887b96917f91efbd26420e6b691ece835d7f980aa9ef05b85cca2e6ce392027

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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source=pdf_text observed=2026-08-01T18:14:39.702312Z digest=sha256:93134fc0d17a5a2c2c911ef318da15a81c4aa1f3e113ff7d921728b64149efde

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

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 24

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source=pdf_text observed=2026-08-01T18:14:39.880832Z digest=sha256:1e9235566e7f3c50afcf91e85a20e3dd47b23af45d69c18bd0fc824efa0d88fa

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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source=pdf_text observed=2026-08-01T18:14:40.115552Z digest=sha256:34ae3f6b07cfe6a4ead5034b7605e8d3107bd31524d3069ee1dae9869f8f21b5

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

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 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

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 32

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source=pdf_text observed=2026-08-01T18:14:40.497454Z digest=sha256:7bcb7731a7bc061a8c5a13e3fd834d3707953300c791be1732c58bd2f6fd3a55

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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source=pdf_text observed=2026-08-01T18:14:41.025768Z digest=sha256:f9ea00a8b99c6708dee067e1bfa27a43b3a8f09d548e41cd92a4ea270b6b3c6f

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=sha256:6c528419ee967d7b48147357ab8e8f8e24927106f9e6ff8fc0f4ea5c8d26b3dd

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

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 36

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source=pdf_text observed=2026-08-01T18:14:41.251328Z digest=sha256:cb05b8257e9e72d8897eaa82e49ade0e66ce10a2e4211ce978c17d2c018166d2

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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source=pdf_text observed=2026-08-01T18:14:41.421555Z digest=sha256:64f758b2c269c96725c6c172a4d36547d96e0eb6bab93920b431976e8e63cd18

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=sha256:066ee25d7a809e3052e8f5f8bfa1c9ae851cc1e54e48d2d683189d932d02fdac

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:fa0d3543f74280aad59f44f72de9ee4789ab89c0d4ac25da5ed3d158c3ded426

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:b59390729d6cacf023492369f8b60b98dfc8f4acdc9079e654b10ecc94735551

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=sha256:68fed6d64ed02275bf85a2fca8808e44913f077dcce53e827ddf98cd499d08cd

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=sha256:397134e7c59607949299ff234ae58b65ce13d8d3793dbbb6166907e2304e8ebe

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=sha256:5d62a5839ec6106e455f29d2c55bb6c46e4f2b5e59adc44c4a6dbe08017e66d6

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:fb6b9a63c35ff42c6db834d7f904167e85cad81d867aedda2848396ba26943f8

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=sha256:173b5f1ac8af1d87e9f822958be6756dd32573f37d5b10db92087cdca6365404

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=sha256:091825652eb2fd9f4df47510d94b74e69b4a8cd84e864120c201b980f6ca370e

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=sha256:417b5c5f967b6c69e8db17f8fd6bfdb4d234bf539d8fe03b15b6ff8dc75d9011

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:e2f8e824db40d7fe684ec3dbcd9cbc3e248a0abd5012d3278f3741ef01839b19

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=sha256:318e91d3e999bc19d64d6fcf644005ac8d2821a2822a1637f515e961d47fc097

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=sha256:899663287cd490dace8cb8d9529da0a1bf7e5febf482aa4813556f29b4b6fd3b

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=sha256:40ab7dc97d3ac608a949ab4ebf004a43ea99b50bf311c63dc3d62dde931217ce

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=sha256:4cb8d604ac3eb0938ae6167f3d60236b32ccdec5579d0ff7ffe6f5b25d12a3c0

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:c3827dea7f96b13bc8ece631d4c5304c1a3045b7366f880b9ebe93f1fa319388

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=sha256:77b7bda0c6e709d24f18bc3ca36fb55ea8cbdce64f2d667ed3f822f494382759

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:bdde507909e36e8af172b39fea88e36edb07cddd528f0064cf04b28002954c80

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=sha256:5e133cd67b6fa6c16166c9dcab6ce4d237c2800f806f4b0e7e2e54572eedf07e

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:f7dfbbe5059d0a65490264d070d330330769a8c2d30ec2892f92ba6496c4a4de

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:a6d33d66fae34ee39358f46ffb60785d3c4e067969014dba22fa9b63c8e9777d

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=sha256:8d16cd43056aff5cb941a54941eebf533bb46689763a6e70a334cf6d051f116a

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:c4a61fdf85b60e30f7acd058288129cf21bfd8c2ba0ce349b1b73887a8a8aeaa

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=sha256:91ffdbe3828da61363817f59b7a30a2a811d1da1ec6453bae041285eb321d15b

Pith citing papers

No inbound Pith citation observations are available.