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Paper Citation Record · LEDGER

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2506.19960.

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

pith.paper-citation-record.v1
2506.19960 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:58.260171Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation acff9b6a-555c-4fc0-a83d-54fab02e32e0 · inbound

Functional Neural Wavefunction Optimization cites this paper.

Functional Neural Wavefunction Optimization An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:34:35.915444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:34:35.915444Z digest=sha256:d26ccbf104adef770c8e027be5faac39404a3b6380f4dc1cb3cce3640bbcd366

Observation 74ef04c1-d94a-4652-8c9d-c51f0b7f41c7 · inbound

Attention is all you need to solve chiral superconductivity cites this paper.

Attention is all you need to solve chiral superconductivity An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:46:48.665941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T19:46:27.011417Z digest=sha256:ebcb82da4c9be9a1e75cf6836cef77c5e334e39dc363e409b3bd0452ce592286

Observation e2a5452c-4d70-40db-be8e-2f77acc6819a · inbound

Attention-Based Foundation Model for Quantum States cites this paper.

Attention-Based Foundation Model for Quantum States An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T16:50:05.323789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:50:05.323789Z digest=sha256:e0683c4f277dec3792bdb2237fc88ef3721cf12a68e16120ca4f3c208fc2097a

Observation 166062a3-a4e8-471a-bed7-db4772dff76a · inbound

Large Electron Model: A Universal Ground State Predictor cites this paper.

Large Electron Model: A Universal Ground State Predictor An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T19:28:15.409298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:28:15.409298Z digest=sha256:562114e42b7ff65dbea2ab4f5863c634d7302c0be00b55f4e8de3fce80884986

Observation cb56b2e1-c06b-4ed5-9b16-2f7ae6e8df25 · inbound

QERNEL: a Scalable Large Electron Model cites this paper.

QERNEL: a Scalable Large Electron Model An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-09T02:54:46.385952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T14:25:02.156395Z digest=sha256:186fcb52ab613ce1c9d664846ff4dc081f05cf25e74e7b92a57749d86ee6cfe5

Observation e0de79b4-4c01-4831-90a8-4df2b0dbd71a · inbound

Neural network quantum states in the grand canonical ensemble cites this paper.

Neural network quantum states in the grand canonical ensemble An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:56.505666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:00:26.119958Z digest=sha256:d243c026daa865289bc5d32720aa9849724aa037d3539b4435303750534785ef

Observation c2a74a34-ed91-41b3-aa35-bb319abe2e8e · inbound

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States cites this paper.

Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:27:18.821032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:31:16.072339Z digest=sha256:582ecb45766bf8ec4e7234033872a4e3614dcdf547739a10359a7bb603882674

Observation 31a0ace1-3bdd-4272-836c-43ab2c66ea47 · inbound

Rhombohedral Graphene: A Tale of Many Crystals cites this paper.

Rhombohedral Graphene: A Tale of Many Crystals An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T01:13:44.986143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:13:44.986143Z digest=sha256:f1ca827d2ebd9a7141feebee59b40f24bf3f918a7b76bf5c043bceee374e5ffa

Observation 24e3891a-2d56-487a-bfa5-fd5be5117a39 · inbound

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier cites this paper.

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-08T15:33:58.260171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:33:58.260171Z digest=sha256:0fd3c8877bec21bdc383afa9c7ac99584313d743d4b1901a8134e6e1509174e1