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Paper Citation Record · LEDGER

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction

As of 7 August 2026, this Paper Citation Record lists 100 of 175 outbound references and 0 inbound Pith citation observations for arXiv:2606.17649.

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

pith.paper-citation-record.v1
2606.17649 v1

Coverage vector

measured 100 of 175 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:50:04.758303Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 175 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved91
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b85fbbb-866c-453e-8365-cb06b6d2d362 · outbound

This paper cites Langley , title =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Langley , title =

Reference 1

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Observation 39838490-c390-446d-98ca-e3c4317f76b7 · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:d9627439d134542aa9f470582072cfb200b6d7901bc129928a2130570d90c663

Observation 3bd21e59-503f-423d-814a-1a24136677fc · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:df4d28815763faa4222c225d3db54b3456082bae47d5cb5170e912a8f4e21459

Observation 942d3c62-65fe-4b5d-80fd-286dbb186b8e · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 4

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Observation 01619c64-40ce-4af7-ad7c-e2ede8b05c3a · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 5

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Observation 608e66a7-3456-4483-98f5-0466a0c5122a · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 6

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Observation 00663dae-7b45-47ed-a8ce-f6c59e049899 · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 7

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Observation b5798fd6-6f99-42a9-b021-102291caab04 · outbound

This paper cites Newell and P.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Newell and P

Reference 8

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Observation db2b44bc-f3b1-4501-9b47-985608dceffa · outbound

This paper cites an unresolved cited work.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:06fe7c22d688c1d8e0c80fe035c1e6c685b8621120c78d5cde5014ce0e82a3aa

Observation 5a6f7d5f-52c3-4a51-b0c1-fcc13ccbe551 · outbound

This paper cites Scaling Learning Algorithms Towards.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Scaling Learning Algorithms Towards

Reference 10

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Observation 4c50b29c-ca09-4a88-aed6-e1e0c7225989 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction and Osindero, Simon and Teh, Yee Whye , journal =

Reference 11

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Observation 258cae99-c1d5-4a70-b331-871a167d03bf · outbound

This paper cites 2016 , publisher=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2016 , publisher=

Reference 12

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Observation 92de2369-27de-46d6-a6e0-768978b1a611 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 13

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Observation 3f7f1a6d-f16c-4e0d-a18b-f355f5fe76e3 · outbound

This paper cites 2024 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2024 , eprint=

Reference 14

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Observation 542b2863-0887-40aa-9fdb-158bde167dbf · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 15

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Observation 4ec87972-4fc3-42b0-a07d-002b0225c946 · outbound

This paper cites 2017 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2017 , eprint=

Reference 16

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Observation 0ab4ccc7-c31c-4e86-af8e-6817082c71d3 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 17

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Observation 0f4367b6-3948-4e88-ad70-d9dda5c26c05 · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 18

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Observation c5a24efb-d942-4bd6-bb87-e1e22cfe7fd6 · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 19

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Observation e84be0dd-97d0-4796-92b1-f59f452088ca · outbound

This paper cites Proceedings of the 24th International Conference on Artificial Intelligence , pages =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Proceedings of the 24th International Conference on Artificial Intelligence , pages =

Reference 20

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Observation 80cd75c4-c106-4238-a10c-ecfebf228c05 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 21

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Observation fd9f3334-48c6-4b4c-b44d-fb43d09c7a76 · outbound

This paper cites 2024 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2024 , eprint=

Reference 22

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Observation 7da8eae8-ba4f-4683-97da-9c75747e7cae · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 23

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Observation 0b8124f0-6ef1-4581-ad49-143a3e8eb80e · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 24

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Observation d4f32d18-552b-4fdc-b117-9bba62b72ab9 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 25

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Observation 1975adfe-2429-49c9-b261-ec8f59ce509a · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 26

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Observation 209f4152-63a6-4293-aa70-6deb729d6fc0 · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 27

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Observation 35a7b03e-8262-4275-b28e-b2fe8b0ae691 · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 28

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Observation 09320bb4-2970-49bc-848e-a765b173330f · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 29

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Observation 6dcdc7e6-523e-45cd-acf5-4338c1cab531 · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 30

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Observation 925b01dd-fd0a-4bf2-8899-779c591eae3d · outbound

This paper cites Louis , year=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Louis , year=

Reference 31

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A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2024 , url=

Reference 32

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Observation 156d1ad9-fe9e-449d-8310-e577d8a8cb79 · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 33

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Observation c8a96b48-90ee-4a90-bd7e-0f91b55939e4 · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 34

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Observation e9dd74e3-ada7-4c6d-9c12-824ba2cf0cc4 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 35

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Observation 34a32e63-8e3c-437a-9481-663d5ecda998 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 36

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Observation d50a1681-f35a-47c8-9723-abafbba6f5d9 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 37

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Observation 3c79ced1-be6f-453f-90ee-305df307ffa7 · outbound

This paper cites Model Explainability using SHAP Values for LightGBM Predictions , year=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Model Explainability using SHAP Values for LightGBM Predictions , year=

Reference 38

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Observation e8c581bf-7c1f-4ae0-8246-f10f47f5ef25 · outbound

This paper cites Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =

Reference 39

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Observation b47cd0b4-4a4d-469f-85fe-75a76e26b80a · outbound

This paper cites 2025 , issue_date =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , issue_date =

Reference 40

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arxiv_id, observed 2026-06-27T01:50:21.147526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5765f002-8f6d-4385-ad87-ff2462f4984f · outbound

This paper cites Copula-based conformal prediction for multi-target regression , journal =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Copula-based conformal prediction for multi-target regression , journal =

Reference 41

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arxiv_id, observed 2026-06-27T01:50:21.144839Z

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:3a115d52a64b4411afddf3cf929721c3fc3802cd003251e8a6d17fc457c4e16b

Observation 8318b8ab-260b-4112-9d12-2b9a0b714e48 · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 42

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:98f36aae7f2d2935e5f9724677a8778f8d165b554f9e667bf2074b21d57a7118

Observation 49e0a6ab-af6a-4e68-b69e-47a932300ac2 · outbound

This paper cites 2024 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2024 , eprint=

Reference 43

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:b2805786c56bc8b6cfb838f58bb34a3e317fc9412fb8d9ceaf2cdc687efca074

Observation 5f63d482-387f-44c6-905d-27eafcedee9e · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 44

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:600eac10f06530f77252eb1f25498acfa1326da9b6ae238c39d837f9fa60c2f8

Observation 376761b6-972b-44c5-83a6-1da6dd2e1dc9 · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 45

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:b067a3c9e61606055cc7c1ad59d0a34379ce72a6f6bae2bc2e977d0b70515b84

Observation c9dc4c65-a9cc-4efb-a41d-6a3d0d849d0f · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 46

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:dd231a4535dc14f8e72525ac45a975b5acf1434b56b70ccd944ca7da23eac269

Observation 26a1a45d-d6e2-4ac9-8591-512b3d206a6e · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction International Conference on Learning Representations (ICLR) , year =

Reference 47

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:2a363fe85f7bb57cd4ad11e5b5db5eb9461e2077551b57d85a6d30bd62f18a57

Observation 040c35fe-392d-4431-8251-c684d90dfba0 · outbound

This paper cites Qwen2.5 Technical Report.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Qwen2.5 Technical Report

Reference 48

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local_arxiv, observed 2026-06-27T01:50:21.141819Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:2551b8993cbabb215e424bb931579ad4b382257838de6bc081151955da8b61b3

Observation 3ec61a25-710b-4f7e-8e3d-eea468c3924e · outbound

This paper cites 2025 , url =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , url =

Reference 49

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:24714b30f4790a738a242ad9152bc9ae03b12fe59fa911ea90ff77b26bf3db29

Observation ffca98be-3a5e-48d0-9179-8e869d272c86 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 50

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:614b6b194bae5433f54c7c5d22cb8654cd4894781dd1aebc0dec2197737b9968

Observation 0b9d0ee2-5ed0-4be9-90f8-3cd773a9e610 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 51

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:406b4812ad3bbe4b302b4207833dd5121c7bef8cc38722350ea0807a4d5b1427

Observation 4cd1df39-be57-4d61-acf3-00cfb29f8818 · outbound

This paper cites Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research

Reference 52

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doi, observed 2026-06-27T01:50:21.133244Z

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:1b1b5b185b3554aa1f4370bbb4dc84975ed5d0701d9e829ecd4443f1047eabd1

Observation 0eae89ad-03bd-4ca3-a9dd-662a7af868b8 · outbound

This paper cites 2025 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2025 , eprint=

Reference 53

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:a5a36a6bada8692f5ae5a1f78b582ff857021e25b9964f895d9975b005f3e1b3

Observation 287ef324-7910-4051-8437-239deab85f80 · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 54

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:94b178faa4d13200273fe513d6b26eb7f97f57647b8eb3901de6def26fd0bf76

Observation 541d6e30-792c-42be-a0c3-17656743261a · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 55

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:c3e9efa88c246558702f78bf32cf30f7c9fbd198724f166f6a6cc1b38b764a6f

Observation 2ce9c198-9e29-43cc-8a64-79f1c03468ff · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 56

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:8ac66ac8b1f51a8da5aebda7483226d835b3b369d366bd747016fc23cb1b8ddf

Observation b25d7f10-bd4e-4b35-a842-e67c46a2a094 · outbound

This paper cites Mathematics , VOLUME =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Mathematics , VOLUME =

Reference 57

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:0b2975d5116c77826bb65d3b70d137df7e84e2956c051699d5c6b1bcecc6eb5d

Observation 3b03d95b-aa50-4abf-98ce-427838e29977 · outbound

This paper cites Technometrics , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Technometrics , volume =

Reference 58

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:5a8a55d27bd7d05d23fed0e22362d5aa4df02f2f6d395d13a15c6dfb43939f4b

Observation 00eb4c37-d117-480d-ab85-003b9fed19c6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Advances in Neural Information Processing Systems , volume =

Reference 59

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:6dbe5de9fe0471d3898b7982fc5bf86facae67147ca01c9d392de71e8e336159

Observation b39fa3fe-cb15-43a1-9101-c002acde455a · outbound

This paper cites Statistics and Computing , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Statistics and Computing , volume =

Reference 60

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:cb0c39337a3322f98defd0c1ddde88cb6d168bec16cefa954d4cd46bff0a6cd4

Observation 223db11b-2419-4320-8d68-b70a40b4a35d · outbound

This paper cites Machine Learning , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Machine Learning , volume =

Reference 61

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:fb5f2578a5824d94ed2b317adb3e45a503f2b67540086b2c8345fced45fbe996

Observation 869b7002-d02a-4c61-bce5-f30374462cba · outbound

This paper cites Nature , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Nature , volume =

Reference 62

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:d754a8289611218eb9c4fb319f4df08fdea3b95559adf367c5b2501d8370596b

Observation 609fe17f-b2ca-4cb2-841c-7c9f97c5bcc1 · outbound

This paper cites Neural Networks , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Neural Networks , volume =

Reference 63

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:74bd22557480909ff035f967b5472e97ca9863525df8bc1dc1b99f3ced89895f

Observation 8c4e309e-b8ec-44b9-80f7-546661a910c1 · outbound

This paper cites Journal of Machine Learning Research , volume =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Journal of Machine Learning Research , volume =

Reference 64

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:5e7413958d0f6767a38247e05982913b705b4bf178b89619243a94c91fb9ca2d

Observation db14c888-3ab2-4688-ac42-e6fb71ca277d · outbound

This paper cites Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes

Reference 65

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local_arxiv, observed 2026-07-03T19:28:52.363046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:4d0f931479d90e0cc41fe362638b9a5dc5d2bfe7242c6593a2c19e9d60484c98

Observation cf329a04-60a2-437c-8de6-77e56504f203 · outbound

This paper cites Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes

Reference 66

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arxiv_id, observed 2026-07-03T19:28:52.342481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:1e22eb380bfc886e99293e45f27cd9463b8f294daea5dcd75adaf291966db544

Observation 11ec88b4-2348-4539-955d-a46a507f2222 · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 67

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:7160902356a811fffbe5d77341649686b01f8743f8fc202eddcbe180721f41aa

Observation c557ec5d-51cc-4cb5-9423-54a894c2a727 · outbound

This paper cites 2024 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2024 , eprint=

Reference 68

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:2622a1df74b733e60e261310b2030f7d2d718cb5f2957dc2ff8075ebbe5ed684

Observation ab6cb00f-1b5e-429f-b2c4-414da4d494e9 · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 69

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:bc12fccdfed64f1564203e2457b5e3ef3137aea9f4ad182f84fff6e6b7e2f426

Observation cedbb62b-4ab2-40a5-8081-bc5a43a4be4a · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 70

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:1732db652b3ee1f51e914bbe27d0f1f341f982d0d02ee34dbec660f6afd86fe7

Observation b83e0a40-d3b5-4678-b878-81d8b3f45f52 · outbound

This paper cites ROUGE : A Package for Automatic Evaluation of Summaries.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction ROUGE : A Package for Automatic Evaluation of Summaries

Reference 71

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:76ff343e9db2ae7068858205b300d5aa6a93652e8f60d09a37d1ed4b9eed593e

Observation 59cbded1-5852-4a41-a8d9-f53c1848bb4f · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 72

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:20b19eff8d1d75bb6a4d31b72b10a451a4dc343d3bf48f9603bbe45504854265

Observation cd6bea60-6b20-4225-983e-10f463a1ba5e · outbound

This paper cites , title =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction , title =

Reference 73

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:794a9e2861e41e8461dc6d8dc192740a6b778946dfb1555df4e69e7c0c767951

Observation 5c380538-5ee6-475b-86df-37ae5449ed48 · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 74

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:7991f00ed761084548c75931b1deb88fcb608263d5a12d392e4d68fe27156321

Observation a64cf8a9-ef89-4e76-a22f-e0c151dae129 · outbound

This paper cites 2023 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2023 , eprint=

Reference 75

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:ab1355e2b130f6bc33161431195e76bdb3e8ac504bdb65f99d129fef6798bcae

Observation 6a678ffc-77d1-4521-bee9-b7959204e23b · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 76

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:67a56ac5872a8eef6132c2bb56d39aed927c0a0794cc2343171bb8b144dfcb6f

Observation 41aea65f-f478-4cb5-9fa1-c041185606a2 · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 77

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:d959c141d2f7f5cc58be315a4197c8a0cf841a2362068c60677d3fb4dc072cb0

Observation a1597f80-332f-4fbe-b3e3-84962f698dc7 · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 78

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:b7f379a643d1f1786a507dcbb61b3d1fec695c9a7812da0e5183bfb5056bf1a2

Observation 7f15c4ef-c012-4fa9-beaf-4dcc2075b8f0 · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 79

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:411678163a17fa3cde9245fcbaf05aec58e04389322d132be2c366db22948853

Observation 7e44bbbd-c936-4856-8f9a-0bb9aa9bf710 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 80

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:7c581a5ccd219a2de453654dfa5052a77dd28d51019724540e2015c83d72b20b

Observation 06691238-ab39-4fdc-8222-90d78d22bc68 · outbound

This paper cites A Qualitative Comparison of C o QA , SQ u AD 2.0 and Q u AC.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction A Qualitative Comparison of C o QA , SQ u AD 2.0 and Q u AC

Reference 81

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doi, observed 2026-06-27T01:50:21.141585Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:430876cbb52ed2bdd18a3e9d2df906de5304898cbc27bf7fce1977c03ee4e1fe

Observation 71aef65b-8534-4d36-bbe1-a2d5a6220b5a · outbound

This paper cites 2016 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2016 , eprint=

Reference 82

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Observation 0a65d06a-a62e-4beb-bf5b-f97624c9abda · outbound

This paper cites 2018 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2018 , eprint=

Reference 83

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Observation 301cec31-3906-4cd4-8297-a09457a1c181 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 84

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:76a301dee3012bdaa54de3e6f690f9501ba514234a89be714f1cbfc415b37c5d

Observation 410a9b59-3678-4fbb-a503-d5387093ac44 · outbound

This paper cites 2016 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2016 , eprint=

Reference 85

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:f064e7da7055e6f52930cffb3cf15a69483f8e3930fd53e3838f79bbf9ede407

Observation 5ca176db-a4cd-409c-a6e1-8a43df3467c2 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 86

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:327109760dc0aad9cc0d65845fa7a17fbe2ca3ef7d7f242160287ce07d389aef

Observation 4e56cf27-e792-4857-8b38-cfd4feb73ddb · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 87

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:bb45758c3ccd6deeceb694e8e5da6bca9fa3388ba2de9eb0427c84d0b10d475a

Observation 9ed6273c-976a-4e27-9ef3-ee78f55970f2 · outbound

This paper cites Domain Adaptation via Pseudo In-Domain Data Selection.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Domain Adaptation via Pseudo In-Domain Data Selection

Reference 88

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:6f51f59e5db220a0f3bfd8a2d0a5383725691fc36a4612d47aff362bfc52b3d5

Observation 2289ceaa-1951-45be-9ed1-da160630db1a · outbound

This paper cites Survey of Hallucination in Natural Language Generation.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Survey of Hallucination in Natural Language Generation

Reference 89

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verified exact
doi, observed 2026-06-27T01:50:21.123278Z

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:82927b95622f0b3ebc64075554adb7bfc80371841c58f24006c3f9841621abd4

Observation 30974bd8-2ffe-4473-9c8d-25481756bd04 · outbound

This paper cites 2020 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2020 , eprint=

Reference 90

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:7ede43160ce0b22e464feed8135474577094a27d015b79b0f930e9ce781c8dda

Observation 0b4ba417-c446-4c51-aa23-e84c1be836a4 · outbound

This paper cites 2017 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2017 , eprint=

Reference 91

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:17bc5275ac653294b78191862687b877d918c6844cafdb67be37d2b1d20714e1

Observation 8920a17e-dfa7-4ebe-ad7c-743dbc10f12e · outbound

This paper cites 2017 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2017 , eprint=

Reference 92

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:da203ce3663bdf1f36f0f7a6b1745cf0f8b9f7ed291341705aa733da9e586347

Observation 49db844e-c93a-4cf1-b5c3-de8d8d790a53 · outbound

This paper cites 2022 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2022 , eprint=

Reference 93

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:21d628245ef5feb43d46d1af545a4522ebbfe321d2c5af447c67c56c419354ea

Observation cd379af7-d873-4198-82e4-eff4d0cf6aa4 · outbound

This paper cites 2013 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2013 , eprint=

Reference 94

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:5375d80cbf0f993dc25513e18962a2aaa8ca389791cfecf03c14c79fd6fdd95b

Observation d5ef980d-0c0f-4174-9bf1-f4158738ba28 · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning , pages =.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Proceedings of the 30th International Conference on Machine Learning , pages =

Reference 95

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:584000c343daf4189bc97cee7670e0c4ae2898e98437a5eb3a0ad06c57b01bc0

Observation 6f874c8e-fbde-4a02-ac05-fc3789b5e425 · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 96

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:64706d323c7f4bba64f27a9c2cec964d42aebf3e05cb8fb1df3992c3e16bf0ba

Observation e43305f7-8dfd-4a9c-a3f1-97ab1bc2b3bb · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 97

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:d85a210940af8c89f4ff1574a1797545ff803c70a895a6e7897e9c1e56e03aa8

Observation faadee18-ff1d-4d31-b440-3d64d846f37e · outbound

This paper cites 2017 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2017 , eprint=

Reference 98

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:556fa000b51eb1d6bac4cb38007ffca28fbf5c0939748a026b2a05f06e029b3f

Observation 9a937fc6-d920-41b0-a4b2-3218bdb22e94 · outbound

This paper cites 2019 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2019 , eprint=

Reference 99

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:e88dcb5e85f519fc13dee478c4de677c95361f7207210efbc5088952c349db71

Observation a945ef09-74b0-4e03-bcea-2e4360f97a1f · outbound

This paper cites 2021 , eprint=.

A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction 2021 , eprint=

Reference 100

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source=arxiv_source observed=2026-06-27T01:50:04.758303Z digest=sha256:3960a704fa1c8c16dd931aec02d08ff5049764f1880f83de42292e902236c860

Pith citing papers

No inbound Pith citation observations are available.