How these numbers were read
Rows added after the VarBench import record where the number came from.
-0.560313(3) — Group CNN (deep, symmetry-projected)
Checked 2026-09-14 · found in the citing paper's comparison table, then confirmed in the primary source's own PDF (pypdf); no LLM transcription
Reported as. -0.560313 (+/- 0.000003) per site in S.S units
Read from Table 5 of arXiv:2505.20406 (TLAHM, L=6 triangular lattice, PBC, E/N in S.S units), parsed from the arXiv HTML. Row "Group Convolutional Neural Network [32]" = arXiv:2211.07749. Sits 6.0e-5 ABOVE the exact -0.5603734 already on this instance, as a variational bound must. CONFIRMED IN PRIMARY SOURCE - arXiv:2211.07749, results table: "J2/J1 N GCNN ... Exact/Interpolated ... 0 36 -0.560313(3) - -0.5603734" - the GCNN energy at J2/J1 = 0, N = 36, printed beside the exact value.
-0.5601(4) — Lattice Convolutional Network
Checked 2026-09-14 · found in the citing paper's comparison table, then confirmed in the primary source's own PDF (pypdf); no LLM transcription
Reported as. -0.5601 (+/- 0.0004) per site in S.S units
Read from Table 5 of arXiv:2505.20406 (TLAHM, L=6 triangular lattice, PBC, E/N in S.S units), parsed from the arXiv HTML. Row "Lattice Convolutional Network [49]" = arXiv:2206.07370. CONFIRMED IN PRIMARY SOURCE - arXiv:2206.07370, results table: "Triangular 36 0 - -0.55889 -0.5601(4) -0.5603734" - the special-kernel LCN energy at J2 = 0 on the 36-site triangular lattice.
-0.5592200 ○ — Group CNN
Checked 2026-09-14 · found in the citing paper's comparison table, then confirmed in the primary source's own PDF (pypdf); no LLM transcription
Reported as. -0.55922 per site in S.S units
Read from Table 5 of arXiv:2505.20406 (TLAHM, L=6 triangular lattice, PBC, E/N in S.S units), parsed from the arXiv HTML. Row "Group Convolutional Neural Network [104]" = arXiv:2104.05085. No error bar is given in the table, so under RULES.md 6 this sampled row cannot hold a record. CONFIRMED IN PRIMARY SOURCE - arXiv:2104.05085, results table: "J2 = 0 ... ED [28] -0.5603734 ... G-CNN -0.55922".
-0.5562(2) — 2D RNN wavefunction (iterative retraining, s=4.0, r=0.158)
Checked 2026-09-14 · arXiv HTML parsed locally from a benchmark comparison table, no LLM transcription
Reported as. -0.5562 (+/- 0.0002) per site in S.S units
Read from Table 5 of arXiv:2505.20406 (TLAHM, L=6 triangular lattice, PBC, E/N in S.S units), parsed from the arXiv HTML. The citing paper's own result.