Pith. sign in

Paper Citation Record · LEDGER

Solving Conformal Field Theories with Artificial Intelligence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2108.08859.

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

pith.paper-citation-record.v1
2108.08859 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:31.565009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T17:28:47.554877Z

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 a779c78c-e948-4d13-9b7b-df529701d175 · inbound

Machine Learning the 6d Supergravity Landscape cites this paper.

Machine Learning the 6d Supergravity Landscape Solving Conformal Field Theories with Artificial Intelligence

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:31.565009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:31.565009Z digest=sha256:6084967a2359b857e2b565ae016a90e1d3ebd10caf841241968168692eba64bd

Observation e81d4027-f0a7-443b-8e94-b7e5483efada · inbound

Accurate boundary bootstrap for the three-dimensional O($N$) normal universality class cites this paper.

Accurate boundary bootstrap for the three-dimensional O($N$) normal universality class Solving Conformal Field Theories with Artificial Intelligence

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:42.705559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:42.705559Z digest=sha256:a623483ce98e8f9019ea73d4771635d393759b7383ab3425fa55caca9d62e625

Observation 8563324f-5675-4302-8f25-c1ad3f8f32e6 · inbound

Bootstrapping non-unitary CFTs cites this paper.

Bootstrapping non-unitary CFTs Solving Conformal Field Theories with Artificial Intelligence

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:58:46.461140Z

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=2026-05-17T00:55:25.145589Z digest=sha256:82a674d8da47774c7f4a98730cd47464ab83cf6b1a1ea1f8c7437bfba316cdd8

Observation 1ce58198-e703-415e-8c58-c7e1577c7aea · inbound

Efficient Conformal Block Evaluation with GoBlocks cites this paper.

Efficient Conformal Block Evaluation with GoBlocks Solving Conformal Field Theories with Artificial Intelligence

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:35:51.395509Z

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=2026-05-15T13:35:16.733940Z digest=sha256:934b8ff858345aea3a76342bc9681a26f996a048d16940c069a283a37ff0905c

Observation e82249f3-04f1-4a1f-8a48-4afe359bc259 · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Solving Conformal Field Theories with Artificial Intelligence

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:43:18.973558Z

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=2026-05-13T21:43:03.494344Z digest=sha256:28e71e95f5d45e8a816a34b2505e97f17d4f8a9744306f972b0f02da47525747

Observation 7056bab2-c6c4-473e-8860-1a73813312be · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Solving Conformal Field Theories with Artificial Intelligence

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T05:40:05.266428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:40:05.266428Z digest=sha256:db7666d2d603f366b4c18e18eabd4eb8c6212c65ae1c25eb75a3844d12e2a2f8

Observation dcff012e-ef03-439c-b83d-42b5363e20df · inbound

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications cites this paper.

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications Solving Conformal Field Theories with Artificial Intelligence

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:08.873743Z

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=2026-05-10T04:03:19.633365Z digest=sha256:f678644790de607f315af86c1d6d421f5490c7123b57f0bb254d2b83a78a789e

Observation 89db5faf-929e-46e3-a7a5-6364d863bc45 · inbound

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications cites this paper.

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications Solving Conformal Field Theories with Artificial Intelligence

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T15:54:45.792625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:54:45.792625Z digest=sha256:afb9adc0bf78510cdf685ad95e6b3affd6dadbf3cb3d9b3de6bb43262ac524bd

Observation 8fa61f6d-c292-4f5a-b065-caa30d6c7b2f · inbound

Neural Networks, Dispersion Relations and the Thermal Bootstrap cites this paper.

Neural Networks, Dispersion Relations and the Thermal Bootstrap Solving Conformal Field Theories with Artificial Intelligence

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:52:36.094342Z

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=2026-05-14T18:49:27.729849Z digest=sha256:2bc663b5de9056bad7a7596554eaa029fa7862b4c16b604933aa018b6ed6d3b0

Observation 577d1269-ce71-4b22-ab49-212afd8eb2b1 · inbound

Boundary anomalous dimensions from BCFT: $\phi^{3}$ theories with a boundary and higher-derivative generalizations cites this paper.

Boundary anomalous dimensions from BCFT: $\phi^{3}$ theories with a boundary and higher-derivative generalizations Solving Conformal Field Theories with Artificial Intelligence

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:28:47.557055Z

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=2026-05-20T17:27:36.877033Z digest=sha256:47aa7d6e78ab05b39e376aee805dcd2cb55d77e6a5b12262dcac82c38139a666