Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T06:29:30.231891Z
Paper Citation Record · LEDGER
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections
As of 5 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2606.13144.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact21
- verified fuzzy0
- unresolved27
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 10850690-0c88-43eb-94d7-00867f02867c · outbound
This paper cites Naturally Chiral Metal Surfaces as Enantiospecific Adsorbents , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Naturally Chiral Metal Surfaces as Enantiospecific Adsorbents , volume =
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2e2bb77-0edb-417a-94e2-b5892c1a6c13 · outbound
This paper cites Surface Reactivity at “Chiral” Platinum Surfaces , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Surface Reactivity at “Chiral” Platinum Surfaces , volume =
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56a52301-eecd-485c-9c18-f223003a2001 · outbound
This paper cites Adsorption of Chiral Alcohols on “Chiral” Metal Surfaces , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Adsorption of Chiral Alcohols on “Chiral” Metal Surfaces , volume =
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28044393-2f82-408d-9817-c7e938fe6ec4 · outbound
This paper cites Gellman , doi =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Gellman , doi =
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ce6d727-f3a0-458b-a95b-379ad823bad1 · outbound
This paper cites Chirality in adsorption on solid surfaces , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Chirality in adsorption on solid surfaces , volume =
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ebd23b1-1a54-4fa9-a486-ae924ceb185c · outbound
This paper cites Waldeck , doi =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Waldeck , doi =
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12f1c3dd-a49c-42f4-ae4e-403cf3686224 · outbound
This paper cites Naaman and David H.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Naaman and David H
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 519a9d9f-0118-4305-b5de-9fc4beab137b · outbound
This paper cites Waldeck , doi =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Waldeck , doi =
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9807915a-76e0-4264-a34c-d4fde316523e · outbound
This paper cites Vectorial Electron Spin Filtering by an All-Chiral Metal–Molecule Heterostructure , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Vectorial Electron Spin Filtering by an All-Chiral Metal–Molecule Heterostructure , volume =
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0408b377-d1fa-4139-8c69-c5f6fa74f9d2 · outbound
This paper cites The promise of chiral electrocatalysis for efficient and sustainable energy conversion and storage: a comprehensive review of the CISS effect and future directions , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections The promise of chiral electrocatalysis for efficient and sustainable energy conversion and storage: a comprehensive review of the CISS effect and future directions , volume =
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7a3475a-c190-48a8-a3ae-74e6119beece · outbound
This paper cites Baber and Andrew J.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Baber and Andrew J
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13bb8f1b-f6db-4bfe-a71a-d089e7f68b62 · outbound
This paper cites When chiral chemistry meets electrochemistry: A virgin land of an academic gold mine , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections When chiral chemistry meets electrochemistry: A virgin land of an academic gold mine , volume =
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7167096c-2aaa-4600-87fb-ed963e46e6f1 · outbound
This paper cites Photoemission spectroscopy in metals: band structure-Fermi surface-spectral function a a , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Photoemission spectroscopy in metals: band structure-Fermi surface-spectral function a a , volume =
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 850c7390-b6d8-474d-a255-dea178492caf · outbound
This paper cites Angle-resolved photoemission spectroscopy and its application to topological materials , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Angle-resolved photoemission spectroscopy and its application to topological materials , volume =
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d022784d-8442-4aec-b844-ec579fc072b5 · outbound
This paper cites Hengsberger and F.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Hengsberger and F
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c887c6-5bff-4de4-98e4-a784991f181e · outbound
This paper cites Jacob and V.
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03303f36-5505-4183-b3fd-0e47bb667e5a · outbound
This paper cites Electronic states of Cu(110) investigated with angle-resolved two-photon photoemission spectroscopy , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Electronic states of Cu(110) investigated with angle-resolved two-photon photoemission spectroscopy , volume =
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58ccfb3d-ad54-47e6-8b8c-2864969fd634 · outbound
This paper cites Roth and C.
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e94c1bd-fe3f-482e-8794-cf35cb809154 · outbound
This paper cites ARPES: A Probe of Electronic Correlations , url =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections ARPES: A Probe of Electronic Correlations , url =
Reference 19
- Resolution
- verified exact
- doi, observed 2026-06-27T06:30:37.869719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 86bffa02-21d1-42ab-b1cf-5564bc932f1f · outbound
This paper cites A Database of Fermi Surfaces in Virtual Reality Modeling Language , note =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections A Database of Fermi Surfaces in Virtual Reality Modeling Language , note =
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc9a5589-71b3-4087-a0b1-f5a4a42ee661 · outbound
This paper cites Avogadro: an advanced semantic chemical editor, visualization, and analysis platform , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Avogadro: an advanced semantic chemical editor, visualization, and analysis platform , volume =
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 423e7384-1252-46a8-b2a4-5c58a4ab12b2 · outbound
This paper cites an unresolved cited work.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Unresolved cited work
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aebbd27-1d19-4f00-8c5e-025d3363c5a2 · outbound
This paper cites Nature Communications , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Nature Communications , author=
Reference 23
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 80efc45f-804c-416c-9dc3-5a0364748d8b · outbound
This paper cites Nature Communications , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Nature Communications , author=
Reference 24
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 727ad26a-be25-4dbc-a0f2-09e1e3733a9f · outbound
This paper cites Aguiar , author M.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Aguiar , author M
Reference 25
- Resolution
- verified exact
- doi, observed 2026-06-27T06:30:37.864165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8087fcf4-e6d0-4ef9-a766-5879f390bcb6 · outbound
This paper cites Advanced Scientific Instruments , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Advanced Scientific Instruments , author=
Reference 26
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eb598707-a779-40f0-a4aa-b44b139b57e0 · outbound
This paper cites Physical Review Materials , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Physical Review Materials , author=
Reference 27
- Resolution
- verified exact
- doi, observed 2026-06-27T06:30:37.859632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18f69323-e5b5-4b2a-afc3-f4947ac5c45e · outbound
This paper cites iScience , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections iScience , author=
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T06:30:37.865681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 70f71d13-f200-48c7-bf2a-0938205ce6b8 · outbound
This paper cites Physical Chemistry Chemical Physics , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Physical Chemistry Chemical Physics , author=
Reference 29
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e8fc318-2a08-459e-8e9e-e496b9a111fe · outbound
This paper cites Journal of Chemical Information and Modeling , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Journal of Chemical Information and Modeling , author=
Reference 30
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c0cca889-5f43-41d8-8e3a-32a9f2c5b2f5 · outbound
This paper cites Journal of the American Chemical Society , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Journal of the American Chemical Society , author=
Reference 31
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1cbfdfd7-773a-4d60-8258-a5c5e736cd5c · outbound
This paper cites Artificial Intelligence Chemistry , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Artificial Intelligence Chemistry , author=
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb8e0345-0a48-489d-bbf0-838137a33f4b · outbound
This paper cites Small Methods , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Small Methods , author=
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3badc064-827b-42c5-b1b7-52b0fcb34c5d · outbound
This paper cites ACS Nano , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections ACS Nano , author=
Reference 34
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aefc98ae-db2a-4ce7-b5e6-a359343e7b15 · outbound
This paper cites npj Computational Materials , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections npj Computational Materials , author=
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7acb4833-d686-4e22-90c4-614aa3f44ddd · outbound
This paper cites The Journal of Physical Chemistry C , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections The Journal of Physical Chemistry C , author=
Reference 36
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3fa74c8-79c5-4a08-a4dd-dfd223ae6f9f · outbound
This paper cites A survey on transfer learning.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections A survey on transfer learning
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1d879b6-b85a-41f7-9c3c-eaeffe6f1523 · outbound
This paper cites Scientific Reports , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Scientific Reports , author=
Reference 38
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 552e89ff-6da8-41cf-a0a7-2a9854983d7a · outbound
This paper cites Oviedo, Z.
Reference 39
- Resolution
- metadata mismatch
- doi, observed 2026-06-27T06:30:37.854916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 982b341f-9dfc-4a4c-9482-cb4497f3aad8 · outbound
This paper cites Deep residual learning for image recognition.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Deep residual learning for image recognition
Reference 40
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef223b59-0c23-475a-b3f2-44639e999d57 · outbound
This paper cites Scientific Reports , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Scientific Reports , author=
Reference 41
- Resolution
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Source-reported events for the cited work
correction dated 2024-07-08. Source: crossref record 10.1038/s41598-024-66611-y->10.1038/s41598-024-56706-x:correction, observed 2026-07-11T03:06:51.952785+00:00. This notice travels one citation hop only.
Observation 6db718ad-6f1d-403f-8a72-bc837d662d0a · outbound
This paper cites Nature Communications , author=.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Nature Communications , author=
Reference 42
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6be290c6-af29-4c09-baac-3a251458d0cd · outbound
This paper cites Chirality-Dependent Electron Spin Filtering by Molecular Monolayers of Helicenes , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Chirality-Dependent Electron Spin Filtering by Molecular Monolayers of Helicenes , volume =
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e793acb1-f95a-4406-a2d3-1dc0d7c27831 · outbound
This paper cites Strong circularly polarized luminescence from quantum dots/2D chiral perovskites composites , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Strong circularly polarized luminescence from quantum dots/2D chiral perovskites composites , volume =
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f107e92-5905-4c49-8364-40cedcd5f932 · outbound
This paper cites 2017 , month =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections 2017 , month =
Reference 45
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b2993d7-5560-48ce-ae27-98f1651feac3 · outbound
This paper cites , title =.
Reference 46
- Resolution
- verified exact
- doi, observed 2026-06-27T06:30:37.841945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d193723-8017-42b6-91a7-2811fd2d1856 · outbound
This paper cites an unresolved cited work.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Unresolved cited work
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4b43687-9905-4bbb-9338-b74fd940c426 · outbound
This paper cites an unresolved cited work.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Unresolved cited work
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10d59548-fc45-4985-aaf1-fa08146dfce1 · outbound
This paper cites Engineering chiral-induced spin selectivity in an artificial topological quantum well , volume =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Engineering chiral-induced spin selectivity in an artificial topological quantum well , volume =
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6709c52-a576-48db-8366-2fad773fdb16 · outbound
This paper cites Vergniory , doi =.
Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections Vergniory , doi =
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:29:30.231891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.