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Paper Citation Record · LEDGER

Deep-neural-network approach to solving the ab initio nuclear structure problem

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.13998.

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

pith.paper-citation-record.v1
2211.13998 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:46.635134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:20:00.572948Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18ad04be-97c9-4ba1-afc0-c170e874e19b · inbound

Kolmogorov-Arnold Wavefunctions cites this paper.

Kolmogorov-Arnold Wavefunctions Deep-neural-network approach to solving the ab initio nuclear structure problem

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:46.635134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:46.635134Z digest=sha256:862c50eb270da92e3d65dda0c244fb2982338dbf60b9bef689516e502feeacf5

Observation b5d20aa1-3d1e-4dca-887d-abe759a9714c · inbound

From bare two-nucleon interaction to nuclear matter and finite nuclei in a relativistic framework cites this paper.

From bare two-nucleon interaction to nuclear matter and finite nuclei in a relativistic framework Deep-neural-network approach to solving the ab initio nuclear structure problem

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T21:04:54.499096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:04:54.499096Z digest=sha256:236a41b96efd7463f357152b2e598d700787b6942e20faee206ea02f5e54d55a

Observation 7905c06a-9bb1-4856-9c64-be3b2c36a833 · inbound

Meson-Nucleus Bound States with Neural-Network Quantum States cites this paper.

Meson-Nucleus Bound States with Neural-Network Quantum States Deep-neural-network approach to solving the ab initio nuclear structure problem

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.311978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:20:03.378722Z digest=sha256:297acc5cdbbc09fe22567c1ef8be0f1a38f8c894d122de206fe33ecf398255d4

Observation 3c682f8b-62ca-4a2a-aea7-6d65412108e1 · inbound

Fully-heavy multiquarks in neural-network quantum states cites this paper.

Fully-heavy multiquarks in neural-network quantum states Deep-neural-network approach to solving the ab initio nuclear structure problem

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:20:00.574460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T23:46:44.008571Z digest=sha256:6ce253ea200a33ec63e5f143ba14baf2487c1743a5255167dd536f632c3959c4

Observation 2ae12b1a-e8d3-4c44-bc3d-a645611af9cf · inbound

Medium-mass nuclei with neural quantum states cites this paper.

Medium-mass nuclei with neural quantum states Deep-neural-network approach to solving the ab initio nuclear structure problem

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-13T04:35:37.457654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:35:37.457654Z digest=sha256:5f3566ecfe8c4acaa99763fbc351931f35b4b45c3837c2340f6b34f2fd2e070d