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Paper Citation Record · LEDGER

Solving Conformal Field Theories with Artificial Intelligence

As of 22 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 2026-08-21T06:32:19.484+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=sha256:6e5b18c518409f9648f48e3dea16372730bb8f33c180d3a12867a9e527972733

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:dcc075852cd1df54a82898fbe40bb8357da9baf6f00df3e5c40d2b09d8c57c9d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T00:55:25.145589Z digest=sha256:211e285a44d74c0d0a64d442830e7ad84358731de7690826d94eec159538a336

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T13:35:16.733940Z digest=sha256:1ee57731816d32f98c748209930054758e6622cf76b89e9900516947d2fcec2f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T21:43:03.494344Z digest=sha256:9cd050f406e9d843df9258cb40e469db4bfc031e5e2abfd5ea4ef76e3f39e431

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=sha256:055dfcdcfcb1d7ae5b74e134cb4bf452284beda2b5b9bde3ebdc2f98b9e02dd0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T04:03:19.633365Z digest=sha256:2da264d05363bc132d08616a65ac6720442ed50cfc86727ce68a45af19816d29

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=sha256:89fda348ff2aada446ca1610157595d12a8b5513a1a0b966663d332a3ec83327

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T18:49:27.729849Z digest=sha256:d6ac3a3eaa200d3866a746d61b1c88c2d74bc8ec861ea26e45e9135701aad83d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T17:27:36.877033Z digest=sha256:8e7b659961fd2a8685929fe279f6fa4bd4511bbdff6ff37a9b9fbcfd8104f80c