Pith. sign in

Paper Citation Record · LEDGER

Conformal Bootstrap with Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2108.09330.

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

pith.paper-citation-record.v1
2108.09330 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:31.697245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T17:28:47.785997Z

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 4fe4ecb3-43f0-49b4-9ee4-58f84d1f9d22 · inbound

Machine Learning the 6d Supergravity Landscape cites this paper.

Machine Learning the 6d Supergravity Landscape Conformal Bootstrap with Reinforcement Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:31.697245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:31.697245Z digest=sha256:b712553e3b1d1460123c614350c6251a3c4b669a8e4f839dc5097ff3b4e69f81

Observation 4bc0a684-cf29-42ca-83db-e26f1fde65ec · 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 Conformal Bootstrap with Reinforcement Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:42.708422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:42.708422Z digest=sha256:734eda3c7bbe73c72fcb903f5823e7b5b2ca44012f82fb1eca50fd433fd5e5ea

Observation ac3ebcc6-67bf-4ab6-93ee-a4bc7218a713 · inbound

Efficient Conformal Block Evaluation with GoBlocks cites this paper.

Efficient Conformal Block Evaluation with GoBlocks Conformal Bootstrap with Reinforcement Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:35:51.472956Z

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:bd3fc35252acae373793baa4f0dd83aa60baba0378893bfe06742c11ab095068

Observation a9fa824d-0082-4d13-8e8f-db5130920a64 · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Conformal Bootstrap with Reinforcement Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:43:18.968278Z

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:c14ff9cde3ca834f589b5df2b1e3362f823abe7fbb048a02f5e3825c5f50d543

Observation 18f2bd7e-ea55-41d4-8252-b6483e242ad3 · inbound

Descending into the Modular Bootstrap cites this paper.

Descending into the Modular Bootstrap Conformal Bootstrap with Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T05:40:05.269668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:40:05.269668Z digest=sha256:92d49297baa7ca1270c61538ffedebf3828dd0e47e765a084940e4f2c88d50fa

Observation a900f9f4-2688-4842-8c80-48f7b30cee82 · inbound

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

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications Conformal Bootstrap with Reinforcement Learning

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:08.760017Z

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=sha256:25b11260f990ac711be130900a3289f38d03b23e321288c14a01999ad380c85d

Observation 34fd9d0e-9c7b-48a7-bea7-b6b4644daf3a · inbound

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

Neural Spectral Bias and Conformal Correlators I: Introduction and Applications Conformal Bootstrap with Reinforcement Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T15:54:45.794874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:54:45.794874Z digest=sha256:114b48cf184cca49691d5bf14e0317524c55f456aab9894d6ad8749f1e32aa15

Observation ea236acd-4756-4760-b583-e45f23d12961 · inbound

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

Neural Networks, Dispersion Relations and the Thermal Bootstrap Conformal Bootstrap with Reinforcement Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:52:36.189705Z

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=sha256:040ab1fb8c96726c5ba0758d116c476efae42606dc53370941f4113a6d7d42fa

Observation 79f571a7-b7e8-47a5-b1b8-e99be44709f8 · 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 Conformal Bootstrap with Reinforcement Learning

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:28:47.788488Z

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=sha256:1314c8f18b2d53fd40c3bd5d43326eb93f0fe992d2c3231e44099d8a0e61f387