Paper Citation Record · LEDGER

Physics-Informed Machine Learning for Refractory Alloy Design

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.03805.

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

pith.paper-citation-record.v1
2608.03805 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:09:29.473120Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy15
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb34c920-9a5d-4088-9b01-53c86b9d723e · outbound

This paper cites Senkov, J.

Physics-Informed Machine Learning for Refractory Alloy Design Senkov, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:36.016584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b18800a-2833-4672-a327-56bd7bc93d9a · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:35.830135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21710e97-30de-4325-a277-608eb721b0f9 · outbound

This paper cites Cantor, I.

Physics-Informed Machine Learning for Refractory Alloy Design Cantor, I

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:35.685381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27cdf6be-dc73-44c3-92bb-faaf948aad79 · outbound

This paper cites Yeh, S.-K.

Physics-Informed Machine Learning for Refractory Alloy Design Yeh, S.-K

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:35.447640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9118ae89-ff0d-4c80-9f0c-6be722008937 · outbound

This paper cites Senkov, G.

Physics-Informed Machine Learning for Refractory Alloy Design Senkov, G

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:35.317338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8dcf6c2b-b21f-4a84-9deb-1ade069785a3 · outbound

This paper cites Miracle, High entropy alloys as a bold step forward in alloy develop- ment, Nature communications 10 (1) (2019) 1805.

Physics-Informed Machine Learning for Refractory Alloy Design Miracle, High entropy alloys as a bold step forward in alloy develop- ment, Nature communications 10 (1) (2019) 1805

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:35.162107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0335afb9-39de-4904-9fae-a159be819695 · outbound

This paper cites Hume-Rothery, W.

Physics-Informed Machine Learning for Refractory Alloy Design Hume-Rothery, W

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:34.857415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f552fe21-f775-46cd-9a37-239e0a8a8ed4 · outbound

This paper cites Saunders, A.

Physics-Informed Machine Learning for Refractory Alloy Design Saunders, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:34.486779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd2d1b77-ba38-42f9-86ad-3c3a924f2ee2 · outbound

This paper cites Zhang, X.

Physics-Informed Machine Learning for Refractory Alloy Design Zhang, X

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:34.243026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2585fec0-bd76-4fa5-9204-92d3d9017ff2 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:33.995506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9103e78-dae5-46ed-adc4-fd51c0eb1fbb · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:33.745121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c724519d-e9a8-4471-b6c6-93d77c571ef4 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:33.368987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9954918-9b85-4ea8-9c58-7355b2db30d0 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:33.024881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad943803-e7ef-4b64-95e4-46248764ec17 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-05T12:09:29.826924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 557e58a3-ccf2-4536-9af3-c0b7a567311f · outbound

This paper cites Lookman, P.

Physics-Informed Machine Learning for Refractory Alloy Design Lookman, P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:32.702877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 590f1864-6889-4406-9031-b55b2dc1088f · outbound

This paper cites Reyes -Pulido, B.

Physics-Informed Machine Learning for Refractory Alloy Design Reyes -Pulido, B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:32.500788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd9355ab-738b-449a-8390-634b1c032d4e · outbound

This paper cites Kresse, J.

Physics-Informed Machine Learning for Refractory Alloy Design Kresse, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:32.115380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64af2910-f57e-4a4b-8f23-f3d48229780a · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:31.814248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6e5ae75-56cd-4ae7-9a21-ffad42f7f490 · outbound

This paper cites Zunger, S.-H.

Physics-Informed Machine Learning for Refractory Alloy Design Zunger, S.-H

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T12:09:28.094908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bf2817-b779-488b-9454-95d1dbc243f3 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:31.606659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f77b851e-b37c-4121-95be-2c43c22d55d0 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:09:28.378249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9784dd00-0e43-41a1-829e-dff0ff9f0d73 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:31.449195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96a40e43-49dc-4c1d-8238-9f1328a27990 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:31.280147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b43ab87-06e2-4eb8-80be-d6f0a038d813 · outbound

This paper cites Meinshausen, G.

Physics-Informed Machine Learning for Refractory Alloy Design Meinshausen, G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:31.127981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3098af8c-b98e-47c4-85d9-3e20217345b5 · outbound

This paper cites Pedregosa, G.

Physics-Informed Machine Learning for Refractory Alloy Design Pedregosa, G

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:30.958645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af5f7a77-2cfa-4879-a79c-7027cb9c2f61 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:30.796141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21884983-431f-4387-bb86-a48d41394297 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:09:30.608047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 400e50f0-f72d-4165-bc44-8e1c0a1fadf1 · outbound

This paper cites Pettifor, Theoretical predictions of structure and related properties of intermetallics, Materials science and technology 8 (4) (1992) 345–349.

Physics-Informed Machine Learning for Refractory Alloy Design Pettifor, Theoretical predictions of structure and related properties of intermetallics, Materials science and technology 8 (4) (1992) 345–349

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:30.415925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fbd4c75-8322-4d29-90ec-745ea2b9d2a7 · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T12:09:29.237140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33601523-359d-48af-a9e9-8f1907ef82eb · outbound

This paper cites an unresolved cited work.

Physics-Informed Machine Learning for Refractory Alloy Design Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T12:09:29.321905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f74576b3-5c8c-47d9-9ea1-170163eae7e4 · outbound

This paper cites Senkov, S.

Physics-Informed Machine Learning for Refractory Alloy Design Senkov, S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:09:30.227726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12e7e64d-a314-4e23-8c1a-0851c384c542 · outbound

This paper cites Kaufmann, C.

Physics-Informed Machine Learning for Refractory Alloy Design Kaufmann, C

Reference 32

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T12:09:30.107545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.