Pith. sign in

Paper Citation Record · LEDGER

Pairing-based graph neural network for simulating quantum materials

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.02143.

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

pith.paper-citation-record.v1
2311.02143 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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:19:08.026098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:42.888514Z

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 4063582c-668a-4aca-9411-feda691aba8d · inbound

Solving and visualizing fractional quantum Hall wavefunctions with neural network cites this paper.

Solving and visualizing fractional quantum Hall wavefunctions with neural network Pairing-based graph neural network for simulating quantum materials

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:08.026098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:19:08.026098Z digest=sha256:8b5e56950f89baa109a274706f94a5c0559170402a289362eb72316fb9c80312

Observation 532c2bc9-b557-43b1-8d89-49cb847dddee · inbound

Is attention all you need to solve the correlated electron problem? cites this paper.

Is attention all you need to solve the correlated electron problem? Pairing-based graph neural network for simulating quantum materials

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T19:37:50.122994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:37:50.122994Z digest=sha256:7b713738c3a3718b2a33cfbe71ab3d470c31d884b89f3ac75e4e8aba41201d85

Observation 16c6282d-cc6a-4884-b615-8d5ac21cfa5c · inbound

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

Attention is all you need to solve chiral superconductivity Pairing-based graph neural network for simulating quantum materials

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:46:48.641034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T19:46:27.011417Z digest=sha256:9bf8c2a85b4a39370fb82deac5c34c9eefd2bd01c4fa8dc37b5bbbd8b658af77

Observation 5d8b036a-eeb3-4314-9a3f-e9ea082558ca · inbound

QERNEL: a Scalable Large Electron Model cites this paper.

QERNEL: a Scalable Large Electron Model Pairing-based graph neural network for simulating quantum materials

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:46:12.542049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T14:25:02.156395Z digest=sha256:37c36bff89c9456a28bf6ca53231856dbe792f43180d7b59dd4ec6d7bdbefdb8

Observation 887991cc-b9a8-4cd1-83a4-c49e24d629aa · inbound

Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states cites this paper.

Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states Pairing-based graph neural network for simulating quantum materials

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:58:42.890175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T04:51:02.616697Z digest=sha256:74d6df7fb63c4f9e90b8d54e5a72aad18b9e2d6efbf7e3ee9675f54313becd8d